diff --git a/.Rbuildignore b/.Rbuildignore
index bd1d928..76bdd95 100755
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -20,3 +20,5 @@
 _pkgdown.yml$
 ^CITATION\.cff$
 ^CHANGELOG\.md$
+^SplineOmics.BiocCheck$
+
diff --git a/DESCRIPTION b/DESCRIPTION
index 8516938..45dae9b 100755
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -3,44 +3,67 @@ Type: Package
 Title: Streamlines the process of analysing omics timeseries data with splines
 Version: 0.1.0
 Date: 2024-08-13
-Authors@R: person("Thomas", "Rauter", email = "thomas.rauter@plus.ac.at", role = c("aut", "cre"))
-Maintainer: Thomas Rauter <thomas.rauter@plus.ac.at>
-Description: Timeseries analysis of omics data can be carried out by fitting spline curves to the data and using limma for hypothesis testing. For this, the right spline freedom and further hyperparameters must be identified, and the obtained hits clustered based on the spline shape.The R package splinetime streamlines this whole process and generates reports.
-Depends: R (>= 4.3.0)
+Authors@R: person("Thomas", "Rauter", 
+                  email = "thomas.rauter@plus.ac.at", 
+                  role = c("aut", "cre"),
+                  comment = c(ORCID = "0009-0004-5578-3628"))
+Description: SplineOmics streamlines the analysis of time-series omics data
+ by fitting spline curves and using limma for hypothesis testing. It requires 
+ a data matrix with features (e.g., proteins, metabolites) in rows and time 
+ point samples in columns, with no missing values. Metadata about the samples 
+ can be provided through a separate meta table, and an optional annotation 
+ table can supply additional feature identifiers. The package provides several 
+ capabilities: exploratory data analysis through HTML reports with plots like 
+ PCA and heatmaps, hyperparameter screening for limma splines, and spline-based 
+ limma analysis to identify significant features. Users can cluster these 
+ significant features and perform gene set enrichment analysis (GSEA) on the 
+ clusters. All results are presented in HTML reports to facilitate easy 
+ interpretation and visualization.
 License: MIT + file LICENSE
 URL: https://csbg.github.io/SplineOmics
+BugReports: https://github.com/csbg/SplineOmics/issues
+biocViews: TimeCourse, GeneExpression, Proteomics, Metabolomics, Transcriptomics,
+           Clustering, StatisticalMethod, Visualization, Software, GeneSetEnrichment
+Depends: R (>= 4.3.0)
 Imports:
-    ComplexHeatmap(>= 2.18.0),
-    base64enc(>= 0.1-3),
-    dendextend(>= 1.17.1),
-    dplyr(>= 1.1.4),
-    ggplot2(>= 3.5.1),
-    ggrepel(>= 0.9.5),
-    here(>= 1.0.1),
-    limma(>= 3.58.1),
-    openxlsx(>= 4.2.5.2),
-    patchwork(>= 1.2.0),
-    pheatmap(>= 1.0.12),
-    progress(>= 1.2.3),
-    purrr(>= 1.0.2),
-    rlang(>= 1.1.4),
-    scales(>= 1.3.0),
-    svglite(>= 2.1.3),
-    tibble(>= 3.2.1),
-    tidyr(>= 1.3.1),
-    zip(>= 2.3.1)
+    ComplexHeatmap (>= 2.18.0),
+    base64enc (>= 0.1-3),
+    dendextend (>= 1.17.1),
+    dplyr (>= 1.1.4),
+    ggplot2 (>= 3.5.1),
+    ggrepel (>= 0.9.5),
+    here (>= 1.0.1),
+    limma (>= 3.58.1),
+    openxlsx (>= 4.2.5.2),
+    patchwork (>= 1.2.0),
+    pheatmap (>= 1.0.12),
+    progress (>= 1.2.3),
+    purrr (>= 1.0.2),
+    rlang (>= 1.1.4),
+    scales (>= 1.3.0),
+    svglite (>= 2.1.3),
+    tibble (>= 3.2.1),
+    tidyr (>= 1.3.1),
+    variancePartition (>= 1.14.0),
+    zip (>= 2.3.1),
+    grDevices,
+    grid,
+    splines,
+    stats,
+    tools,
+    utils
 Suggests:
     BiocManager,
-    edgeR(>= 4.0.16),
-    clusterProfiler(>= 4.10.1),
+    edgeR (>= 4.0.16),
+    clusterProfiler (>= 4.10.1),
     rmarkdown (>= 2.7),
     knitr,
     testthat,
     readxl,
-    rstudioapi(>= 0.16.0),
+    rstudioapi (>= 0.16.0),
     conflicted (>= 1.2.0)
 Encoding: UTF-8
-LazyData: true
+LazyData: false
 RoxygenNote: 7.3.2
 Config/testthat/edition: 3
 VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
index 42813d7..6433fa1 100755
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -143,4 +143,7 @@ importFrom(tools,file_path_sans_ext)
 importFrom(utils,combn)
 importFrom(utils,head)
 importFrom(utils,tail)
+importFrom(variancePartition,dream)
+importFrom(variancePartition,eBayes)
+importFrom(variancePartition,topTable)
 importFrom(zip,zip)
diff --git a/NEWS b/NEWS
new file mode 100644
index 0000000..9877bc1
--- /dev/null
+++ b/NEWS
@@ -0,0 +1,7 @@
+PackageName 0.1.0
+=================
+- Initial release of the package.
+
+
+
+
diff --git a/R/SplineOmics-package.R b/R/SplineOmics-package.R
index 7960872..532ca2c 100755
--- a/R/SplineOmics-package.R
+++ b/R/SplineOmics-package.R
@@ -1,12 +1,12 @@
 #' Package Name: SplineOmics
 #'
 #' @description
-#' The R package SplineOmics finds the significant features (hits) of 
+#' The R package SplineOmics finds the significant features (hits) of
 #' time-series -omics data by using splines and limma for hypothesis testing.
-#' It then clusters the hits based on the spline shape while showing all 
+#' It then clusters the hits based on the spline shape while showing all
 #' results in summary HTML reports.
-#' 
-#' For detailed documentation, vignettes, and examples, please visit the 
+#'
+#' For detailed documentation, vignettes, and examples, please visit the
 #' [SplineOmics GitHub page](https://github.com/csbg/SplineOmics.git).
 #'
 #' @section Key Functions and Classes:
@@ -17,30 +17,30 @@
 #'                 an HTML report containg various plots, such as density plots
 #'                 and correlation heatmaps.
 #' - screen_limma_hyperparams: Allows the specify lists of different hyperparameters
-#'                             to test, such as a degree of freedom of 2, 3, 4, 
-#'                             and adj.p-val thresholds, such as 0.1 and 0.05, 
+#'                             to test, such as a degree of freedom of 2, 3, 4,
+#'                             and adj.p-val thresholds, such as 0.1 and 0.05,
 #'                             and tests all specified different values for all
 #'                             limma spline hyperparameters in a semi-combinatorial
 #'                             way.
-#' - update_splineomics: Allows to change values of the SplineOmics object, for 
+#' - update_splineomics: Allows to change values of the SplineOmics object, for
 #'                       example after observing that outliers should be removed
 #'                       from the data (update the data parameter).
-#' - run_limma_splines: Central function of the script, is called by the 
+#' - run_limma_splines: Central function of the script, is called by the
 #'                      screen_limma_hyperparams function and can be called to
-#'                      get the limma spline analysis results (p-values for all 
+#'                      get the limma spline analysis results (p-values for all
 #'                      features (e.g. proteins)) with the hyperparameters, that
 #'                       were selected finally.
-#' - create_limma_report: Creates an HTML report showing the run_limma_splines 
+#' - create_limma_report: Creates an HTML report showing the run_limma_splines
 #'                        results
 #' - cluster_hits: Clusters the splines of the hits (significant features) based
 #'                  on their shape and shows all results as plots in an HTML
 #'                  report.
-#' - download_enrichr_databases: Allows to download the Enrichr databases for 
+#' - download_enrichr_databases: Allows to download the Enrichr databases for
 #'                               runnin clusterProfiler in the run_gsea function
 #'                               with them.
 #' - run_gsea: Runs clusterProfiler with the clustered hits by using the Enrichr
 #'             databases.
-#' 
+#'
 #' @section Package Options:
 #' None
 #'
@@ -67,23 +67,23 @@
 #' Optional dependencies
 #'
 #' These dependencies are only necessary for some functions:
-#' 
+#'
 #' -   **edgeR**: For preprocessing RNA-seq data in the run_limma_splines() fun.
 #' -   **clusterProfiler**: For the run_gsea() function (gene set enrichment).
 #' -   **rstudioapi**: For the open_tutorial() and open_template() functions.
 #'
 #' @section Authors:
-#' - [Thomas-Rauter](https://github.com/Thomas-Rauter) - Wrote the package and 
-#'   developed the approach with VSchaepertoens under guidance from nfortelny 
+#' - [Thomas-Rauter](https://github.com/Thomas-Rauter) - Wrote the package and
+#'   developed the approach with VSchaepertoens under guidance from nfortelny
 #'   and skafdasschaf.
-#' - [nfortelny](https://github.com/nfortelny) - Principal Investigator, 
+#' - [nfortelny](https://github.com/nfortelny) - Principal Investigator,
 #'   provided guidance and support.
-#' - [skafdasschaf](https://github.com/skafdasschaf) - Helped review code and 
+#' - [skafdasschaf](https://github.com/skafdasschaf) - Helped review code and
 #'   provided improvement suggestions.
-#' - [VSchaepertoens](https://github.com/VSchaepertoens) - Developed an internal 
-#'   plotting function and contributed to exploratory data analysis and the 
+#' - [VSchaepertoens](https://github.com/VSchaepertoens) - Developed an internal
+#'   plotting function and contributed to exploratory data analysis and the
 #'   overall approach.
-#'   
+#'
 #' @section Maintainer:
 #' - Name: Thomas Rauter
 #' - Email: thomas.rauter@plus.ac.at
diff --git a/R/cluster_hits.R b/R/cluster_hits.R
index ad3429e..4a64a9e 100755
--- a/R/cluster_hits.R
+++ b/R/cluster_hits.R
@@ -20,47 +20,47 @@
 #' specified directory and
 #' compiled into an HTML report.
 #'
-#' @param splineomics An S3 object of class `SplineOmics` that contains all the 
+#' @param splineomics An S3 object of class `SplineOmics` that contains all the
 #' necessary data and parameters for the analysis, including:
 #' \itemize{
-#'   \item \code{data}: The original expression dataset used for differential 
+#'   \item \code{data}: The original expression dataset used for differential
 #'   expression analysis.
-#'   \item \code{meta}: A dataframe containing metadata corresponding to the 
-#'   \code{data}, must include a 'Time' column and any columns specified by 
+#'   \item \code{meta}: A dataframe containing metadata corresponding to the
+#'   \code{data}, must include a 'Time' column and any columns specified by
 #'   \code{conditions}.
-#'   \item \code{design}: A character of length 1 representing the limma 
+#'   \item \code{design}: A character of length 1 representing the limma
 #'   design formula.
-#'   \item \code{condition}: Character of length 1 specifying the column name 
+#'   \item \code{condition}: Character of length 1 specifying the column name
 #'   in \code{meta} used to define groups for analysis.
 #'   \item \code{spline_params}: A list of spline parameters for the analysis.
-#'   \item \code{meta_batch_column}: A character string specifying the column 
+#'   \item \code{meta_batch_column}: A character string specifying the column
 #'   name in the metadata used for batch effect removal.
-#'   \item \code{meta_batch2_column}: A character string specifying the second 
+#'   \item \code{meta_batch2_column}: A character string specifying the second
 #'   column name in the metadata used for batch effect removal.
 #'   \item \code{limma_splines_result}: A list of data frames, each representing
-#'    a top table from differential expression analysis, containing at least 
+#'    a top table from differential expression analysis, containing at least
 #'    'adj.P.Val' and expression data columns.
 #' }
 #' @param clusters Character or integer vector specifying the number of clusters
-#' @param adj_pthresholds Numeric vector of p-value thresholds for filtering 
+#' @param adj_pthresholds Numeric vector of p-value thresholds for filtering
 #' hits in each top table.
 #' @param adj_pthresh_avrg_diff_conditions p-value threshold for the results
 #' from the average difference of the condition limma result. Per default 0 (
 #' turned off).
-#' @param adj_pthresh_interaction_condition_time p-value threshold for the 
-#' results from the interaction of condition and time limma result. Per default 
+#' @param adj_pthresh_interaction_condition_time p-value threshold for the
+#' results from the interaction of condition and time limma result. Per default
 #' 0 (turned off).
 #' @param genes A character vector containing the gene names of the features to
 #'  be analyzed.
-#' @param plot_info List containing the elements y_axis_label (string), 
+#' @param plot_info List containing the elements y_axis_label (string),
 #'                  time_unit (string), treatment_labels (character vector),
-#'                  treatment_timepoints (integer vector). All can also be NA. 
-#'                  This list is used to add this info to the spline plots. 
+#'                  treatment_timepoints (integer vector). All can also be NA.
+#'                  This list is used to add this info to the spline plots.
 #'                  time_unit is used to label the x-axis, and treatment_labels
 #'                  and -timepoints are used to create vertical dashed lines,
-#'                  indicating the positions of the treatments (such as 
+#'                  indicating the positions of the treatments (such as
 #'                  feeding, temperature shift, etc.).
-#' @param plot_options List with specific fields (cluster_heatmap_columns = 
+#' @param plot_options List with specific fields (cluster_heatmap_columns =
 #' Bool) that allow for customization of plotting behavior.
 #' @param report_dir Character string specifying the directory path where the
 #' HTML report and any other output files should be saved.
@@ -84,26 +84,24 @@ cluster_hits <- function(
     adj_pthresholds = c(0.05),
     adj_pthresh_avrg_diff_conditions = 0,
     adj_pthresh_interaction_condition_time = 0,
-    genes = NULL,       # Underlying genes of the features
+    genes = NULL, # Underlying genes of the features
     plot_info = list(
       y_axis_label = "Value",
       time_unit = "min",
       treatment_labels = NA,
       treatment_timepoints = NA
-      ),
+    ),
     plot_options = list(
       cluster_heatmap_columns = FALSE,
       meta_replicate_column = NULL
     ),
     report_dir = here::here(),
-    report = TRUE
-    ) {
-
+    report = TRUE) {
   report_dir <- normalizePath(
     report_dir,
     mustWork = FALSE
-    )
-  
+  )
+
   check_splineomics_elements(
     splineomics = splineomics,
     func_type = "cluster_hits"
@@ -114,7 +112,7 @@ cluster_hits <- function(
   input_control <- InputControl$new(args)
   input_control$auto_validate()
 
-  top_tables <- splineomics[['limma_splines_result']][['time_effect']]
+  top_tables <- splineomics[["limma_splines_result"]][["time_effect"]]
   data <- splineomics[["data"]]
   meta <- splineomics[["meta"]]
   annotation <- splineomics[["annotation"]]
@@ -129,20 +127,20 @@ cluster_hits <- function(
 
   # To set the default p-value threshold for ALL levels.
   if (is.numeric(adj_pthresholds) &&
-      length(adj_pthresholds) == 1 && adj_pthresholds[1] == 0.05) {
+    length(adj_pthresholds) == 1 && adj_pthresholds[1] == 0.05) {
     levels <- unique(meta[[condition]])
     adj_pthresholds <- rep(adj_pthresholds[1], length(levels))
   }
-  
+
   within_level_top_tables <- filter_top_tables(
     top_tables = top_tables,
     adj_pthresholds = adj_pthresholds,
     meta = meta,
     condition = condition
-    )
+  )
 
   huge_table_user_prompter(within_level_top_tables)
-  
+
   all_levels_clustering <- perform_clustering(
     top_tables = within_level_top_tables,
     clusters = clusters,
@@ -150,7 +148,7 @@ cluster_hits <- function(
     condition = condition,
     spline_params = spline_params,
     mode = mode
-    )
+  )
 
   report_info$limma_design <- c(design)
   report_info$meta_condition <- c(condition)
@@ -158,12 +156,11 @@ cluster_hits <- function(
     meta_batch_column,
     meta_batch2_column,
     sep = ", "
-    )
-  
-  
-  if (adj_pthresh_avrg_diff_conditions > 0 || 
-      adj_pthresh_interaction_condition_time > 0) {
-    
+  )
+
+
+  if (adj_pthresh_avrg_diff_conditions > 0 ||
+    adj_pthresh_interaction_condition_time > 0) {
     spline_comp_plots <- generate_spline_comparisons(
       splineomics = splineomics,
       all_levels_clustering = all_levels_clustering,
@@ -177,7 +174,7 @@ cluster_hits <- function(
   } else {
     spline_comp_plots <- NULL
   }
-  
+
 
   if (!is.null(genes)) {
     genes <- clean_gene_symbols(genes)
@@ -194,7 +191,7 @@ cluster_hits <- function(
       spline_params = spline_params,
       adj_pthresholds = adj_pthresholds,
       adj_pthresh_avrg_diff_conditions = adj_pthresh_avrg_diff_conditions,
-      adj_pthresh_interaction_condition_time = 
+      adj_pthresh_interaction_condition_time =
         adj_pthresh_interaction_condition_time,
       report_dir = report_dir,
       mode = mode,
@@ -206,7 +203,7 @@ cluster_hits <- function(
       plot_options = plot_options,
       feature_name_columns = feature_name_columns,
       spline_comp_plots = spline_comp_plots
-      )
+    )
   } else {
     plots <- "no plots, because report arg of cluster_hits() was set to FALSE"
   }
@@ -219,44 +216,43 @@ cluster_hits <- function(
       return(x)
     }
   })
-  
+
   clustered_hits_levels <- list()
-  
+
   for (i in seq_along(all_levels_clustering)) {
     clustering_level <- all_levels_clustering[[i]]
     element_name <- names(all_levels_clustering)[i]
-    
+
     if (any(is.character(clustering_level))) {
-      clustered_hits_levels[[element_name]] <- 
+      clustered_hits_levels[[element_name]] <-
         clustering_level
-    }
-    else {                                       # normal list result
-      clustered_hits_levels[[element_name]] <- 
+    } else { # normal list result
+      clustered_hits_levels[[element_name]] <-
         clustering_level$clustered_hits
     }
   }
-  
+
   if (!is.null(genes)) {
     # Add gene column for the run_gsea() function.
     clustered_hits_levels <- lapply(clustered_hits_levels, function(df) {
       if (is.character(df)) {
-        return(df)  
+        return(df)
       }
       df$gene <- genes[df$feature]
       return(df)
     })
   }
-  
+
   print_info_message(
     message_prefix = "Clustering the hits",
     report_dir = report_dir
   )
-  
+
   list(
     all_levels_clustering = all_levels_clustering,
     plots = plots,
     clustered_hits_levels = clustered_hits_levels
-    )
+  )
 }
 
 
@@ -268,37 +264,35 @@ filter_top_tables <- function(
     top_tables,
     adj_pthresholds,
     meta,
-    condition
-    ) {
-
+    condition) {
   result <- check_between_level_pattern(top_tables)
 
-  if (result$between_levels) {                     # between_level analysis
+  if (result$between_levels) { # between_level analysis
     if (result$index_with_pattern == 1) {
       within_level_top_tables_index <- 2
       between_level_top_tables_index <- 1
-    } else {                        # between level top_tables are at index 2
+    } else { # between level top_tables are at index 2
       within_level_top_tables_index <- 1
       between_level_top_tables_index <- 2
     }
 
     within_level_top_tables <- top_tables[[within_level_top_tables_index]]
     between_level_top_tables <- top_tables[[between_level_top_tables_index]]
-
-  } else {                                  # no between level analysis
+  } else { # no between level analysis
     within_level_top_tables <- top_tables
   }
 
   for (i in seq_along(within_level_top_tables)) {
-
     within_level_top_table <- within_level_top_tables[[i]]
     level <- unique(meta[[condition]])[i]
 
     if (result$between_levels) {
-      hit_indices <- get_level_hit_indices(between_level_top_tables,
-                                           level,
-                                           adj_pthresholds)
-    } else {    # within level
+      hit_indices <- get_level_hit_indices(
+        between_level_top_tables,
+        level,
+        adj_pthresholds
+      )
+    } else { # within level
       hit_indices <- within_level_top_table[["feature_nr"]][
         within_level_top_table[["adj.P.Val"]] < adj_pthresholds[i]
       ]
@@ -306,16 +300,17 @@ filter_top_tables <- function(
 
     top_table_filtered <-
       within_level_top_table[within_level_top_table[["feature_nr"]]
-                             %in% hit_indices, ]
+      %in% hit_indices, ]
 
     if (nrow(top_table_filtered) < 2) {
-      message(paste("Level", level, "has < 2 hits. Skipping clustering for",
-                    "this level"))
+      message(paste(
+        "Level", level, "has < 2 hits. Skipping clustering for",
+        "this level"
+      ))
       within_level_top_tables[[i]] <- NA
     } else {
       within_level_top_tables[[i]] <- top_table_filtered
     }
-
   }
 
   if (all(is.na(within_level_top_tables))) {
@@ -326,7 +321,7 @@ filter_top_tables <- function(
 }
 
 
-#' Check if any table in a list has more than 300 rows and prompt user for 
+#' Check if any table in a list has more than 300 rows and prompt user for
 #' input.
 #'
 #' This function iterates over a list of tables and checks if any table has
@@ -334,40 +329,38 @@ filter_top_tables <- function(
 #' If such a table is found, it prompts the user to proceed or stop.
 #'
 #' @param tables A list of data frames.
-#' @return NULL. This function is used for its side effects (prompting the 
+#' @return NULL. This function is used for its side effects (prompting the
 #' user and potentially stopping the script).
-#' 
+#'
 huge_table_user_prompter <- function(tables) {
-  
   for (i in seq_along(tables)) {
-
     if (any(is.logical(tables[[i]]))) {
       next
     }
-    
+
     if (nrow(tables[[i]]) > 500) {
       # Prompt the user for input
       while (TRUE) {
         user_input <- readline(prompt = paste(
           "The table",
-          names(tables)[i], 
+          names(tables)[i],
           "has more than 500 rows. Do you want to proceed? (y/n): "
-          ))
+        ))
         user_input <- tolower(user_input)
-        
+
         # Check user input
-        if (user_input == 'y') {
+        if (user_input == "y") {
           # Proceed
           print("Proceeding...")
-          break  
-        } else if (user_input == 'n') {
-          stop("Script stopped. User chose not to proceed.", call. = FALSE)
+          break
+        } else if (user_input == "n") {
+          stop_call_false("Script stopped. User chose not to proceed.")
         } else {
           # Invalid input, ask the user again
-          cat(paste(
-            "Invalid input. Please type 'y' to proceed or 'n' to stop", 
-            "the script.\n"
-            ))
+          message(
+            "Invalid input. Please type 'y' to proceed or 'n' to stop",
+            "the script."
+          )
         }
       }
     }
@@ -400,9 +393,7 @@ perform_clustering <- function(
     meta,
     condition,
     spline_params,
-    mode
-    ) {
-
+    mode) {
   levels <- unique(meta[[condition]])
 
   all_levels_clustering <- mapply(
@@ -415,10 +406,10 @@ perform_clustering <- function(
       condition = condition,
       spline_params = spline_params,
       mode = mode
-      ),
+    ),
     SIMPLIFY = FALSE
-    )  # Return a list
-  
+  ) # Return a list
+
   return(all_levels_clustering)
 }
 
@@ -438,10 +429,10 @@ perform_clustering <- function(
 #'                   such as gene and uniprotID, for example.
 #' @param genes Character vector containing the genes of the features.
 #' @param spline_params A list of spline parameters for the analysis.
-#' @param adj_pthresholds Numeric vector, containing a float < 1 > 0 as each 
+#' @param adj_pthresholds Numeric vector, containing a float < 1 > 0 as each
 #'                        value. There is one float for every level, and this is
-#'                        the adj. p-value threshold. 
-#' @param adj_pthresh_avrg_diff_conditions Float 
+#'                        the adj. p-value threshold.
+#' @param adj_pthresh_avrg_diff_conditions Float
 #' @param adj_pthresh_interaction_condition_time Float
 #' @param report_dir A character string specifying the report directory.
 #' @param mode A character string specifying the mode
@@ -449,24 +440,24 @@ perform_clustering <- function(
 #' @param report_info An object containing report information.
 #' @param design A string representing the limma design formula
 #' @param meta_batch_column A character string specifying the meta batch column.
-#' @param meta_batch2_column A character string specifying the second meta 
+#' @param meta_batch2_column A character string specifying the second meta
 #'                           batch column.
-#' @param plot_info List containing the elements y_axis_label (string), 
+#' @param plot_info List containing the elements y_axis_label (string),
 #'                  time_unit (string), treatment_labels (character vector),
-#'                  treatment_timepoints (integer vector). All can also be NA. 
-#'                  This list is used to add this info to the spline plots. 
+#'                  treatment_timepoints (integer vector). All can also be NA.
+#'                  This list is used to add this info to the spline plots.
 #'                  time_unit is used to label the x-axis, and treatment_labels
 #'                  and -timepoints are used to create vertical dashed lines,
-#'                  indicating the positions of the treatments (such as 
+#'                  indicating the positions of the treatments (such as
 #'                  feeding, temperature shift, etc.).
-#' @param plot_options List with specific fields (cluster_heatmap_columns = 
+#' @param plot_options List with specific fields (cluster_heatmap_columns =
 #' Bool) that allow for customization of plotting behavior.
-#' @param feature_name_columns Character vector containing the column names of 
+#' @param feature_name_columns Character vector containing the column names of
 #'                             the annotation info that describe the features.
-#'                             This argument is used to specify in the HTML 
+#'                             This argument is used to specify in the HTML
 #'                             report how exactly the feature names displayed
 #'                             above each individual spline plot have been
-#'                             created. Use the same vector that was used to 
+#'                             created. Use the same vector that was used to
 #'                             create the row headers for the data matrix!
 #' @param spline_comp_plots List containing the list of lists with all
 #' the plots for all the pairwise comparisons of the condition in terms of
@@ -505,9 +496,7 @@ make_clustering_report <- function(
     plot_info,
     plot_options,
     feature_name_columns,
-    spline_comp_plots
-    ) {
-
+    spline_comp_plots) {
   # Optionally remove the batch-effect with the batch column and design matrix
   # For mode == "integrated", the batch-effect is removed from the whole data
   # For mode == "isolated", the batch-effect is removed for every level
@@ -520,15 +509,14 @@ make_clustering_report <- function(
     design = design,
     mode = mode,
     spline_params = spline_params
-    )
+  )
 
 
   # To extract the stored value for the potential auto cluster decision.
   clusters <- c()
   for (i in seq_along(all_levels_clustering)) {
-
     if (is.null(all_levels_clustering[[i]]) ||
-        all(is.na(all_levels_clustering[[i]]))) {
+      all(is.na(all_levels_clustering[[i]]))) {
       next
     }
 
@@ -550,7 +538,7 @@ make_clustering_report <- function(
     all_levels_clustering = all_levels_clustering,
     time_unit_label = time_unit_label,
     cluster_heatmap_columns = plot_options[["cluster_heatmap_columns"]]
-    )
+  )
 
   # log2_intensity_shape <- plot_log2_intensity_shapes()
 
@@ -560,10 +548,9 @@ make_clustering_report <- function(
   q <- 0
 
   for (i in seq_along(all_levels_clustering)) {
-
     # When a level has < 2 hits
     if (is.null(all_levels_clustering[[i]]) ||
-        all(is.na(all_levels_clustering[[i]]))) {
+      all(is.na(all_levels_clustering[[i]]))) {
       next
     } else {
       q <- q + 1
@@ -574,19 +561,18 @@ make_clustering_report <- function(
     levels <- unique(meta[[condition]])
 
     if (length(levels) >= i) {
-
       level <- levels[i]
 
       # Construct header name
       header_name <- level
- 
+
       nr_hits <- nrow(level_clustering$clustered_hits)
 
       header_info <- list(
         header_name = header_name,
         nr_hits = nr_hits,
         adj_pvalue_threshold = adj_pthresholds[i]
-        )
+      )
 
       level_headers_info[[i]] <- header_info
     }
@@ -597,19 +583,19 @@ make_clustering_report <- function(
       hc = level_clustering$hc,
       clusters = level_clustering[["clustered_hits"]][["cluster"]],
       k = clusters[q]
-      )
+    )
 
     p_curves <- plot_all_mean_splines(
       curve_values = curve_values,
       plot_info = plot_info,
       level = level
-      )
+    )
 
     cluster_mean_splines <- plot_cluster_mean_splines( # Plot for each cluster
       curve_values = curve_values,
       plot_info = plot_info,
       level = level
-      )
+    )
 
     top_table <- level_clustering$top_table
     levels <- as.character(unique(meta[[condition]]))
@@ -618,27 +604,26 @@ make_clustering_report <- function(
 
     if (mode == "integrated") {
       data_level <- datas[[i]][, col_indices]
-    } else {                                    # mode == "isolated"
+    } else { # mode == "isolated"
       data_level <- datas[[i]]
     }
 
     meta_level <- meta |> dplyr::filter(.data[[condition]] == levels[i])
 
     clusters_spline_plots <- list()
-    
-    for (nr_cluster in unique(stats::na.omit(top_table$cluster))) {
 
+    for (nr_cluster in unique(stats::na.omit(top_table$cluster))) {
       nr_of_hits <- sum(
         level_clustering$clustered_hits$cluster == nr_cluster,
         na.rm = TRUE
-        )
+      )
       main_title <- paste(
         "Cluster",
         nr_cluster,
         " | Hits:",
-        nr_of_hits, 
+        nr_of_hits,
         sep = " "
-        )
+      )
 
       top_table_cluster <- top_table |>
         dplyr::filter(!!rlang::sym("cluster") == nr_cluster)
@@ -655,60 +640,59 @@ make_clustering_report <- function(
         adj_pthreshold = adj_pthresholds[i],
         replicate_column = plot_options[["meta_replicate_column"]],
         level = level
-        )
+      )
 
       clusters_spline_plots[[length(clusters_spline_plots) + 1]] <- list(
         spline_plots = spline_plots,
         cluster_main_title = main_title
-        )
+      )
     }
 
     plots <- c(
       plots,
-      new_level = "level_header",    # is the signal for the plotting code
+      new_level = "level_header", # is the signal for the plotting code
       dendrogram = list(dendrogram),
       p_curves = list(p_curves),
       cluster_mean_splines = list(cluster_mean_splines),
       heatmap = heatmaps[[i]],
-      individual_spline_plots = clusters_spline_plots  # gets expanded like this
-      )
+      individual_spline_plots = clusters_spline_plots # gets expanded like this
+    )
 
     # For every plot in plots, this determines the size in the HTML
     plots_sizes <- c(
       plots_sizes,
-      999,               # dummy size for "next_level" signal
+      999, # dummy size for "next_level" signal
       1.5,
       1.5,
       1,
       1.5,
       rep(1, length(clusters_spline_plots))
-      )
+    )
   }
 
   topTables <- list()
 
   # Loop over each element in all_levels_clustering
   for (i in seq_along(all_levels_clustering)) {
-    
     if (is.logical(all_levels_clustering[[i]])) next
-    
+
     # Get the current element, which is a list
     current_element <- all_levels_clustering[[i]]
-    
+
     # Extract the top_table element
     top_table_element <- current_element$top_table
-    
+
     # Get the name of the outer list element
     element_name <- names(all_levels_clustering)[i]
-    
+
     # Trim the name to 30 characters if necessary
     if (nchar(element_name) > 30) {
       element_name <- substr(element_name, 1, 30)
     }
-    
+
     topTables[[element_name]] <- top_table_element
   }
-  
+
   if (!is.null(genes)) {
     enrichr_format <- prepare_gene_lists_for_enrichr(
       all_levels_clustering,
@@ -717,7 +701,7 @@ make_clustering_report <- function(
   } else {
     enrichr_format <- NA
   }
-  
+
   all_levels_clustering <- merge_annotation_all_levels_clustering(
     all_levels_clustering = all_levels_clustering,
     annotation = annotation
@@ -738,14 +722,14 @@ make_clustering_report <- function(
     enrichr_format = enrichr_format,
     adj_pthresholds = adj_pthresholds,
     adj_pthresh_avrg_diff_conditions = adj_pthresh_avrg_diff_conditions,
-    adj_pthresh_interaction_condition_time = 
+    adj_pthresh_interaction_condition_time =
       adj_pthresh_interaction_condition_time,
     report_type = "cluster_hits",
     feature_name_columns = feature_name_columns,
     mode = mode,
     filename = "report_clustered_hits",
     report_dir = report_dir
-    )
+  )
 
   return(plots)
 }
@@ -754,90 +738,90 @@ make_clustering_report <- function(
 #' Generate spline comparison plots for all condition pairs
 #'
 #' @description
-#' This function generates spline comparison plots for all pairwise 
-#' combinations of conditions in the metadata. For each condition pair, it 
-#' compares the time effects of two conditions, plots the data points, and 
-#' overlays the fitted spline curves. The function only generates plots if 
-#' the adjusted p-values for the average difference between conditions and the 
+#' This function generates spline comparison plots for all pairwise
+#' combinations of conditions in the metadata. For each condition pair, it
+#' compares the time effects of two conditions, plots the data points, and
+#' overlays the fitted spline curves. The function only generates plots if
+#' the adjusted p-values for the average difference between conditions and the
 #' interaction between condition and time are below the specified thresholds.
 #'
 #' @param splineomics A list containing the splineomics results, including
-#'  time effects, 
-#' average difference between conditions, and interaction between condition 
+#'  time effects,
+#' average difference between conditions, and interaction between condition
 #' and time.
-#' @param all_levels_clustering A list containing the X matrices for each 
-#' condition, used 
+#' @param all_levels_clustering A list containing the X matrices for each
+#' condition, used
 #' for spline fitting.
 #' @param data The data matrix containing the measurements.
 #' @param meta The metadata associated with the measurements, which includes
 #'  the condition.
 #' @param condition Column name of meta that contains the levels of the
 #' experiment.
-#' @param plot_info A list containing plotting information such as time unit 
+#' @param plot_info A list containing plotting information such as time unit
 #' and axis labels.
 #' @param adj_pthresh_avrg_diff_conditions The adjusted p-value threshold for
-#'  the average 
+#'  the average
 #' difference between conditions.
-#' @param adj_pthresh_interaction The adjusted p-value threshold for the 
-#' interaction 
+#' @param adj_pthresh_interaction The adjusted p-value threshold for the
+#' interaction
 #' between condition and time.
-#' 
+#'
 #' @return A list of lists containing the comparison plots and feature names
 #'         for each condition pair.
-#' 
+#'
 generate_spline_comparisons <- function(
     splineomics,
-    all_levels_clustering,  # This list contains the X matrices
+    all_levels_clustering, # This list contains the X matrices
     data,
     meta,
     condition,
-    plot_info,  
-    adj_pthresh_avrg_diff_conditions,  
-    adj_pthresh_interaction  
-) {
+    plot_info,
+    adj_pthresh_avrg_diff_conditions,
+    adj_pthresh_interaction) {
   # Initialize the list that will store the results
   comparison_plots <- list()
-  
+
   # Check if all three elements are present
-  if (length(splineomics[['limma_splines_result']]) == 3) {
+  if (length(splineomics[["limma_splines_result"]]) == 3) {
     # Extract the three named elements
-    time_effect <- splineomics[['limma_splines_result']][['time_effect']]
-    avrg_diff_conditions <- 
-      splineomics[['limma_splines_result']][['avrg_diff_conditions']]
-    interaction_condition_time <- 
-      splineomics[['limma_splines_result']][['interaction_condition_time']]
+    time_effect <- splineomics[["limma_splines_result"]][["time_effect"]]
+    avrg_diff_conditions <-
+      splineomics[["limma_splines_result"]][["avrg_diff_conditions"]]
+    interaction_condition_time <-
+      splineomics[["limma_splines_result"]][["interaction_condition_time"]]
 
     # Get the unique conditions from the meta data
     conditions <- unique(meta[[condition]])
-    
+
     # Generate all pairwise combinations of conditions
     condition_pairs <- utils::combn(conditions, 2, simplify = FALSE)
-    
+
     # Loop over all condition pairs and generate plots
     for (pair in condition_pairs) {
       condition_1 <- pair[1]
       condition_2 <- pair[2]
-      
+
       # Sort the current pair of conditions
       sorted_conditions <- sort(c(condition_1, condition_2))
-      
+
       # Initialize matched dataframes as NULL
       matched_avrg_diff <- NULL
       matched_interaction_cond_time <- NULL
-      
+
       # Search for the correct dataframe in avrg_diff_conditions
       for (df_name in names(avrg_diff_conditions)) {
         # Extract the part after 'avrg_diff_' and split it by '_vs_'
-        conditions_in_df <- strsplit(sub(
-          "avrg_diff_",
-          "",
-          df_name
+        conditions_in_df <- strsplit(
+          sub(
+            "avrg_diff_",
+            "",
+            df_name
           ),
           "_vs_"
-          )[[1]]
-        
+        )[[1]]
+
         sorted_conditions_in_df <- sort(conditions_in_df)
-        
+
         # Check if the sorted conditions in the dataframe match the current pair
         if (identical(sorted_conditions, sorted_conditions_in_df)) {
           matched_avrg_diff <- avrg_diff_conditions[[df_name]]
@@ -849,16 +833,17 @@ generate_spline_comparisons <- function(
       for (df_name in names(interaction_condition_time)) {
         # Extract the part after 'time_interaction_condition_'
         # and split it by '_vs_'
-        conditions_in_df <- strsplit(sub(
-          "time_interaction_",
-          "", 
-          df_name
+        conditions_in_df <- strsplit(
+          sub(
+            "time_interaction_",
+            "",
+            df_name
           ),
           "_vs_"
-          )[[1]]
-        
+        )[[1]]
+
         sorted_conditions_in_df <- sort(conditions_in_df)
-        
+
         # Check if the sorted conditions in the dataframe match the
         # current pair
         if (identical(sorted_conditions, sorted_conditions_in_df)) {
@@ -868,12 +853,12 @@ generate_spline_comparisons <- function(
       }
 
       # If both matched dataframes are found, generate plots
-      if (!is.null(matched_avrg_diff) 
-          && !is.null(matched_interaction_cond_time)) {
+      if (!is.null(matched_avrg_diff) &&
+        !is.null(matched_interaction_cond_time)) {
         # Get the corresponding dataframes from time_effect
         time_effect_1 <- time_effect[[paste0(condition, "_", condition_1)]]
         time_effect_2 <- time_effect[[paste0(condition, "_", condition_2)]]
-        
+
         # Get the respective X matrices from all_levels_clustering
         X_1 <- all_levels_clustering[[paste0(condition, "_", condition_1)]]$X
         X_2 <- all_levels_clustering[[paste0(condition, "_", condition_2)]]$X
@@ -895,7 +880,7 @@ generate_spline_comparisons <- function(
           adj_pthresh_avrg_diff_conditions = adj_pthresh_avrg_diff_conditions,
           adj_pthresh_interaction = adj_pthresh_interaction
         )
-        
+
         # Add the plot list to the comparison_plots list,
         # naming it by the condition pair
         plot_list_name <- paste0(condition_1, "_vs_", condition_2)
@@ -905,25 +890,24 @@ generate_spline_comparisons <- function(
   } else {
     message("The required elements are not present in the splineomics list.")
   }
-  
+
   # Return the list containing all plot lists
   return(comparison_plots)
 }
 
 
-
 #' Clean the Gene Symbols
 #'
 #' @description
-#' This function preprocesses a vector of gene names by cleaning and 
-#' formatting them. It removes any non-alphanumeric characters after the 
-#' first block of alphanumeric characters and converts the remaining 
+#' This function preprocesses a vector of gene names by cleaning and
+#' formatting them. It removes any non-alphanumeric characters after the
+#' first block of alphanumeric characters and converts the remaining
 #' characters to uppercase.
 #'
 #' @param genes A character vector containing gene names to be cleaned.
 #'
-#' @return A character vector of cleaned gene symbols (names) with the same 
-#' length as the input. The cleaned names will be in uppercase, and any 
+#' @return A character vector of cleaned gene symbols (names) with the same
+#' length as the input. The cleaned names will be in uppercase, and any
 #' invalid or empty gene names will be replaced with NA.
 #'
 clean_gene_symbols <- function(genes) {
@@ -933,30 +917,30 @@ clean_gene_symbols <- function(genes) {
     "before the first whitespace or end of the string. The extracted ",
     "substring is then converted to uppercase.\033[0m"
   ))
-  
+
   message(paste0(
-    "\033[38;5;214mIf this does not produce valid gene symbols for your gene", 
+    "\033[38;5;214mIf this does not produce valid gene symbols for your gene",
     "set enrichment analysis, modify ",
     "the genes argument of this function (cluster_hits) accordingly!\033[0m"
   ))
-  
+
   # Apply cleaning process to each gene
-  cleaned_genes <- sapply(genes, function(gene_name) {
+  cleaned_genes <- vapply(genes, function(gene_name) {
     if (!is.na(gene_name) && gene_name != "") {
       # Replace all non-alphanumeric characters with whitespace
       gene_name <- gsub("[^A-Za-z0-9]", " ", gene_name)
-      
-      # Extract the first block of alphanumeric characters before the 
+
+      # Extract the first block of alphanumeric characters before the
       # first whitespace
       clean_gene_name <- sub("^([A-Za-z0-9]+).*", "\\1", gene_name)
-      
+
       # Convert to uppercase
       toupper(clean_gene_name)
     } else {
       NA
     }
-  })
-  
+  }, character(1))
+
   # Return cleaned genes, keeping the same index as input
   return(cleaned_genes)
 }
@@ -968,31 +952,30 @@ clean_gene_symbols <- function(genes) {
 #' Check for Between-Level Patterns in Top Tables
 #'
 #' @description
-#' This function checks if any of the elements within a list of top tables 
+#' This function checks if any of the elements within a list of top tables
 #' contain element names that match the specified between-level pattern.
 #'
-#' @param top_tables A list where each element is itself a list containing 
+#' @param top_tables A list where each element is itself a list containing
 #' named elements.
 #'
 #' @return A list with two elements:
 #' \describe{
-#'   \item{between_levels}{A logical value indicating whether any element names 
+#'   \item{between_levels}{A logical value indicating whether any element names
 #'   match the between-level pattern.}
-#'   \item{index_with_pattern}{The index of the first element in `top_tables` 
-#'   where all names match the between-level pattern, or NA if no match is 
+#'   \item{index_with_pattern}{The index of the first element in `top_tables`
+#'   where all names match the between-level pattern, or NA if no match is
 #'   found.}
 #' }
 #'
 #' @details
-#' The function iterates over each element in `top_tables`. For each element 
-#' that 
-#' is a list, it checks if all names within that inner list match the pattern 
-#' `".+_vs_.+"`. If a match is found, the function sets `between_levels` to TRUE 
-#' and records the index of the matching element. The search stops at the first 
+#' The function iterates over each element in `top_tables`. For each element
+#' that
+#' is a list, it checks if all names within that inner list match the pattern
+#' `".+_vs_.+"`. If a match is found, the function sets `between_levels` to TRUE
+#' and records the index of the matching element. The search stops at the first
 #' match.
-#' 
+#'
 check_between_level_pattern <- function(top_tables) {
-
   # Initialize variables
   between_levels <- FALSE
   index_with_pattern <- NA
@@ -1021,39 +1004,37 @@ check_between_level_pattern <- function(top_tables) {
   return(list(
     between_levels = between_levels,
     index_with_pattern = index_with_pattern
-    ))
+  ))
 }
 
 
 #' Get Hit Indices for a Specific Level
 #'
 #' @description
-#' This function retrieves unique feature indices from a list of between-level 
+#' This function retrieves unique feature indices from a list of between-level
 #' top tables for a specified level, based on adjusted p-value thresholds.
 #'
-#' @param between_level_top_tables A list of data frames containing the 
+#' @param between_level_top_tables A list of data frames containing the
 #' between-level top tables.
-#' @param level A string specifying the level to search for within the names 
+#' @param level A string specifying the level to search for within the names
 #' of the data frames.
-#' @param adj_pthresholds A numeric vector of adjusted p-value thresholds for 
+#' @param adj_pthresholds A numeric vector of adjusted p-value thresholds for
 #' each data frame in `between_level_top_tables`.
 #'
-#' @return A vector of unique feature indices that meet the adjusted p-value 
+#' @return A vector of unique feature indices that meet the adjusted p-value
 #' threshold criteria for the specified level.
 #'
 #' @details
-#' The function iterates over each data frame in `between_level_top_tables`. For 
-#' each data frame whose name contains the specified level (case insensitive), 
-#' it identifies the rows where the adjusted p-value is below the corresponding 
-#' threshold. The function then extracts the feature indices from these rows and 
+#' The function iterates over each data frame in `between_level_top_tables`. For
+#' each data frame whose name contains the specified level (case insensitive),
+#' it identifies the rows where the adjusted p-value is below the corresponding
+#' threshold. The function then extracts the feature indices from these rows and
 #' compiles a unique list of these indices.
-#' 
+#'
 get_level_hit_indices <- function(
     between_level_top_tables,
     level,
-    adj_pthresholds
-    ) {
-
+    adj_pthresholds) {
   unique_hit_indices <- c()
 
   # Loop through the elements of the list
@@ -1073,11 +1054,13 @@ get_level_hit_indices <- function(
       # Extract the feature indices from the identified rows
       feature_indices <- within_level_top_table[hit_indices, "feature_nr"]
       feature_indices <- within_level_top_table[hit_indices,
-                                                "feature_nr", drop = TRUE]
+        "feature_nr",
+        drop = TRUE
+      ]
       unique_hit_indices <- c(
         unique_hit_indices,
         feature_indices
-        )
+      )
     }
   }
 
@@ -1115,14 +1098,12 @@ process_level_cluster <- function(
     meta,
     condition,
     spline_params,
-    mode
-    ) {
-
+    mode) {
   # means that it had < 2 hits.
   if (is.null(top_table) || all(is.na(top_table))) {
     return(NA)
   }
-  
+
   curve_results <- get_curve_values(
     top_table = top_table,
     level = level,
@@ -1130,7 +1111,7 @@ process_level_cluster <- function(
     condition = condition,
     spline_params = spline_params,
     mode = mode
-    )
+  )
 
   normalized_curves <- normalize_curves(curve_results$curve_values)
 
@@ -1140,7 +1121,7 @@ process_level_cluster <- function(
       k = cluster_size,
       smooth_timepoints = curve_results$smooth_timepoints,
       top_table = top_table
-      )
+    )
 
   clustering_result$X <- curve_results$X
   return(clustering_result)
@@ -1150,20 +1131,20 @@ process_level_cluster <- function(
 #' Remove Batch Effect from Cluster Hits
 #'
 #' @description
-#' This function removes batch effects from the data for each level specified 
-#' by the condition. It supports both isolated and integrated modes, with 
+#' This function removes batch effects from the data for each level specified
+#' by the condition. It supports both isolated and integrated modes, with
 #' optional handling for a second batch column.
 #'
 #' @param data A dataframe containing the main data.
 #' @param meta A dataframe containing meta information.
-#' @param condition A string specifying the column in `meta` that divides the 
+#' @param condition A string specifying the column in `meta` that divides the
 #' experiment into levels.
-#' @param meta_batch_column A string specifying the column in `meta` that 
+#' @param meta_batch_column A string specifying the column in `meta` that
 #' indicates batch information.
-#' @param meta_batch2_column A string specifying the second batch column in 
+#' @param meta_batch2_column A string specifying the second batch column in
 #' `meta`, if applicable.
 #' @param design A design matrix for the experiment.
-#' @param mode A string indicating the mode of operation: "isolated" or 
+#' @param mode A string indicating the mode of operation: "isolated" or
 #' "integrated".
 #' @param spline_params A list of spline parameters for the design matrix.
 #'
@@ -1172,16 +1153,16 @@ process_level_cluster <- function(
 #' @details
 #' The function operates in two modes:
 #' \describe{
-#'   \item{isolated}{Processes each level independently, using only data from 
+#'   \item{isolated}{Processes each level independently, using only data from
 #'   that level.}
 #'   \item{integrated}{Processes the entire dataset together.}
 #' }
-#' If `meta_batch_column` is specified, the function removes batch effects using 
-#' `removeBatchEffect`. If a second batch column (`meta_batch2_column`) is 
+#' If `meta_batch_column` is specified, the function removes batch effects using
+#' `removeBatchEffect`. If a second batch column (`meta_batch2_column`) is
 #' specified, it is also included in the batch effect removal.
 #'
 #' @importFrom limma removeBatchEffect
-#' 
+#'
 remove_batch_effect_cluster_hits <- function(
     data,
     meta,
@@ -1190,18 +1171,14 @@ remove_batch_effect_cluster_hits <- function(
     meta_batch2_column,
     design,
     mode,
-    spline_params
-    ) {
-
+    spline_params) {
   datas <- list()
   n <- length(unique(meta[[condition]]))
   level_indices <- as.integer(1:n)
   unique_levels <- unique(meta[[condition]])
 
   if (!is.null(meta_batch_column)) {
-
     for (level_index in level_indices) {
-
       # Take only the data from the level for mode == "isolated"
       if (mode == "isolated") {
         level <- unique_levels[level_index]
@@ -1209,17 +1186,19 @@ remove_batch_effect_cluster_hits <- function(
         data_copy <- data[, level_columns]
         meta_copy <- meta[meta[[condition]] == level, , drop = FALSE]
       } else {
-        data_copy <- data   # Take the full data for mode == "integrated"
+        data_copy <- data # Take the full data for mode == "integrated"
         meta_copy <- meta
-        level_index <- 1L   # spline_params here has only one set of params
+        level_index <- 1L # spline_params here has only one set of params
       }
 
-      design_matrix <- design2design_matrix(
+      result <- design2design_matrix(
         meta = meta_copy,
         spline_params = spline_params,
         level_index = level_index,
         design = design
-        )
+      )
+      
+      design_matrix <- result[["design_matrix"]]
 
       # The batch columns are not allowed to be in the design_matrix for
       # removeBatchEffect. Instead the batch column is specified with batch =
@@ -1227,10 +1206,10 @@ remove_batch_effect_cluster_hits <- function(
         paste0(
           "^",
           meta_batch_column
-          ),
+        ),
         colnames(design_matrix)
-        )
-      
+      )
+
       design_matrix <- design_matrix[, -batch_columns]
 
       args <- list(
@@ -1238,20 +1217,19 @@ remove_batch_effect_cluster_hits <- function(
         batch = meta_copy[[meta_batch_column]],
         design = design_matrix
       )
-      
+
       if (mode == "isolated") {
-        
         level <- unique_levels[level_index]
         meta_copy <- meta[meta[[condition]] == level, , drop = FALSE]
-        
+
         if (!is.null(meta_batch2_column) &&
-            length(unique(meta_copy[[meta_batch2_column]])) > 1) {
+          length(unique(meta_copy[[meta_batch2_column]])) > 1) {
           args$batch2 <- meta_copy[[meta_batch2_column]]
         }
-      } else {   # mode == integrated
-        
+      } else { # mode == integrated
+
         if (!is.null(meta_batch2_column) &&
-            length(unique(meta_copy[[meta_batch2_column]])) > 1) {
+          length(unique(meta_copy[[meta_batch2_column]])) > 1) {
           args$batch2 <- meta_copy[[meta_batch2_column]]
         }
       }
@@ -1259,26 +1237,24 @@ remove_batch_effect_cluster_hits <- function(
       data_copy <- do.call(
         limma::removeBatchEffect,
         args
-        )
+      )
 
       # For mode == "integrated", all elements are identical
       datas <- c(
         datas,
         list(data_copy)
-        )
+      )
     }
-
-  } else {          # no meta batch column specified, just return right data
+  } else { # no meta batch column specified, just return right data
 
     for (level_index in level_indices) {
-
       # Take only the data from the level for mode == "isolated"
       if (mode == "isolated") {
         level <- unique_levels[level_index]
         level_columns <- which(meta[[condition]] == level)
         data_copy <- data[, level_columns]
       } else {
-        data_copy <- data   # Take the full data for mode == "integrated"
+        data_copy <- data # Take the full data for mode == "integrated"
       }
 
       datas <- c(datas, list(data_copy))
@@ -1298,13 +1274,13 @@ remove_batch_effect_cluster_hits <- function(
 #' @param meta A dataframe containing metadata.
 #' @param mode A character vector with length 1, specifying the type of limma
 #'             design formula (integrated for formulas with interaction effects
-#'             between the levels, isolated for formulas where each level is 
+#'             between the levels, isolated for formulas where each level is
 #'             analysed in isolation (no interaction effects))
 #' @param condition A character string specifying the condition.
 #' @param all_levels_clustering A list containing clustering results for each
 #' level within the condition.
 #' @param time_unit_label A character string specifying the time unit label.
-#' @param cluster_heatmap_columns Boolean specifying wether to cluster the 
+#' @param cluster_heatmap_columns Boolean specifying wether to cluster the
 #' columns of the heatmap or not.
 #'
 #' @return A list of ComplexHeatmap heatmap objects for each level.
@@ -1326,9 +1302,7 @@ plot_heatmap <- function(
     condition,
     all_levels_clustering,
     time_unit_label,
-    cluster_heatmap_columns
-    ) {
-
+    cluster_heatmap_columns) {
   BASE_TEXT_SIZE_PT <- 5
 
   ht_opt(
@@ -1346,18 +1320,17 @@ plot_heatmap <- function(
     legend_title_gp = gpar(fontsize = BASE_TEXT_SIZE_PT),
     legend_border = FALSE
   )
-  
-  ht_opt$message = FALSE
+
+  ht_opt$message <- FALSE
 
   levels <- unique(meta[[condition]])
   heatmaps <- list()
-  
+
   # Generate a heatmap for every level
   for (i in seq_along(all_levels_clustering)) {
-
     # When a level has < 2 hits
     if (is.null(all_levels_clustering[[i]]) ||
-        all(is.na(all_levels_clustering[[i]]))) {
+      all(is.na(all_levels_clustering[[i]]))) {
       heatmaps[[length(heatmaps) + 1]] <- NA
       next
     }
@@ -1372,28 +1345,28 @@ plot_heatmap <- function(
 
     if (mode == "integrated") {
       data_level <- datas[[i]][, level_indices]
-    } else {                                    # mode == "isolated"
+    } else { # mode == "isolated"
       data_level <- datas[[i]]
     }
 
-    data_level <- data_level[as.numeric(clusters$feature),]
+    data_level <- data_level[as.numeric(clusters$feature), ]
     z_score <- t(scale(t(data_level)))
 
     meta_level <- meta[level_indices, ]
-    
+
     row_labels <- truncate_row_names(rownames(data_level))
-    
-    if (is.null(cluster_heatmap_columns)) {  # set default value
+
+    if (is.null(cluster_heatmap_columns)) { # set default value
       cluster_heatmap_columns <- FALSE
     }
-    
+
     ht <-
       ComplexHeatmap::Heatmap(
         z_score,
         name = paste0(
-          "left-labels = cluster,", 
+          "left-labels = cluster,",
           "top-labels = time"
-          ),
+        ),
         use_raster = TRUE,
         column_split = meta_level$Time,
         cluster_columns = cluster_heatmap_columns,
@@ -1402,7 +1375,7 @@ plot_heatmap <- function(
         heatmap_legend_param = list(
           title = "z-score of log2 values",
           title_position = "lefttop-rot"
-          ),
+        ),
         row_gap = unit(2, "pt"),
         column_gap = unit(2, "pt"),
         # width = unit(2, "mm") * ncol(z_score) +
@@ -1413,7 +1386,8 @@ plot_heatmap <- function(
         row_labels = row_labels,
         show_column_names = TRUE,
         column_names_rot = 70,
-        column_names_gp = gpar(fontsize = 5))
+        column_names_gp = gpar(fontsize = 5)
+      )
 
     heatmaps[[length(heatmaps) + 1]] <- ht
   }
@@ -1445,9 +1419,7 @@ plot_heatmap <- function(
 plot_dendrogram <- function(
     hc,
     clusters,
-    k
-) {
-
+    k) {
   # Convert hc to dendrogram
   dend <- stats::as.dendrogram(hc)
 
@@ -1467,7 +1439,7 @@ plot_dendrogram <- function(
   ordered_colors <- colors[match(
     unique_cluster_order,
     sort(unique(clusters))
-    )]
+  )]
 
   # Apply the reordered colors to the branches of the dendrogram
   dend_colored <- dendextend::color_branches(
@@ -1505,7 +1477,8 @@ plot_dendrogram <- function(
       axis.ticks.x = ggplot2::element_blank(),
       axis.text.y = ggplot2::element_blank(),
       axis.ticks.y = ggplot2::element_blank(),
-      plot.title = ggplot2::element_text(size = 9)
+      plot.title = ggplot2::element_text(size = 9),
+      legend.position = "none"
     )
 
   return(p_dend)
@@ -1520,13 +1493,13 @@ plot_dendrogram <- function(
 #'
 #' @param curve_values A dataframe containing curve values and cluster
 #' assignments.
-#' @param plot_info List containing the elements y_axis_label (string), 
+#' @param plot_info List containing the elements y_axis_label (string),
 #'                  time_unit (string), treatment_labels (character vector),
-#'                  treatment_timepoints (integer vector). All can also be NA. 
-#'                  This list is used to add this info to the spline plots. 
+#'                  treatment_timepoints (integer vector). All can also be NA.
+#'                  This list is used to add this info to the spline plots.
 #'                  time_unit is used to label the x-axis, and treatment_labels
 #'                  and -timepoints are used to create vertical dashed lines,
-#'                  indicating the positions of the treatments (such as 
+#'                  indicating the positions of the treatments (such as
 #'                  feeding, temperature shift, etc.).
 #' @param level One of the unique values of the meta condition column. This is
 #'              a factor that separates the experiment.
@@ -1541,9 +1514,7 @@ plot_dendrogram <- function(
 plot_all_mean_splines <- function(
     curve_values,
     plot_info,
-    level
-    ) {
-
+    level) {
   time <- as.numeric(colnames(curve_values)[-length(colnames(curve_values))])
 
   clusters <- unique(curve_values$cluster)
@@ -1554,43 +1525,44 @@ plot_all_mean_splines <- function(
     # Filter rows for the current cluster
     subset_hits <- curve_values[curve_values$cluster == current_cluster, ]
     last_timepoint <- (which(names(curve_values) == "cluster")) - 1
-    average_curve <- colMeans(subset_hits[,1:last_timepoint])
+    average_curve <- colMeans(subset_hits[, 1:last_timepoint])
 
     # Create a data frame for the average curve with an additional 'Cluster'
     # column
     curve_df <- data.frame(
       Time = time, Value = average_curve,
       cluster = as.factor(current_cluster)
-      )
+    )
 
     # Bind the curve data frame to the cumulative data frame
     average_curves <- rbind(
       average_curves,
       curve_df
-      )
+    )
   }
 
   average_curves$cluster <- factor(
     average_curves$cluster,
     levels = sort(
-      unique(as.numeric(average_curves$cluster)))
+      unique(as.numeric(average_curves$cluster))
     )
-  
-  time_unit_label = paste0("[", plot_info$time_unit, "]")
-  
+  )
+
+  time_unit_label <- paste0("[", plot_info$time_unit, "]")
+
   cluster_colors <- scales::hue_pal()(length(unique(average_curves$cluster)))
-  
+
   if (length(cluster_colors) > length(unique(average_curves$cluster))) {
     cluster_colors <- cluster_colors[1:length(unique(average_curves$cluster))]
   }
   names(cluster_colors) <- paste(
     "Cluster",
     levels(average_curves$cluster)
-    )
-  
+  )
+
   color_values <- c(cluster_colors)
   distinct_colors <- c()
-  
+
   # Create the base plot
   p_curves <- ggplot2::ggplot(
     average_curves,
@@ -1607,32 +1579,32 @@ plot_all_mean_splines <- function(
     ggplot2::theme_minimal() +
     ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5))
 
-  # Call the wrapper function to conditionally add dashed lines and get 
+  # Call the wrapper function to conditionally add dashed lines and get
   # treatment colors
   result <- maybe_add_dashed_lines(
     p = p_curves,
     plot_info = plot_info,
     level = level
-    )
-  
+  )
+
   p_curves <- result$p
   treatment_colors <- result$treatment_colors
-  
+
   # Combine cluster colors and treatment colors for a single color scale
   all_colors <- c(cluster_colors, treatment_colors)
-  
+
   # Finalize color scale and theme adjustments
   p_curves <- p_curves +
     ggplot2::scale_color_manual(
-      values = all_colors,  # Combine both cluster and treatment colors
-      name = NULL   # No legend title
+      values = all_colors, # Combine both cluster and treatment colors
+      name = NULL # No legend title
     ) +
     ggplot2::theme(
-      legend.key.size = grid::unit(0.6, "cm"),  
+      legend.key.size = grid::unit(0.6, "cm"),
       legend.key.height = grid::unit(0.3, "cm"),
       legend.title = ggplot2::element_text(size = 8)
     )
-  
+
   return(p_curves)
 }
 
@@ -1645,13 +1617,13 @@ plot_all_mean_splines <- function(
 #'
 #' @param curve_values A dataframe containing curve values and cluster
 #'  assignments.
-#' @param plot_info List containing the elements y_axis_label (string), 
+#' @param plot_info List containing the elements y_axis_label (string),
 #'                  time_unit (string), treatment_labels (character vector),
-#'                  treatment_timepoints (integer vector). All can also be NA. 
-#'                  This list is used to add this info to the spline plots. 
+#'                  treatment_timepoints (integer vector). All can also be NA.
+#'                  This list is used to add this info to the spline plots.
 #'                  time_unit is used to label the x-axis, and treatment_labels
 #'                  and -timepoints are used to create vertical dashed lines,
-#'                  indicating the positions of the treatments (such as 
+#'                  indicating the positions of the treatments (such as
 #'                  feeding, temperature shift, etc.).
 #'
 #' @return A list containing a plot for every cluster
@@ -1662,9 +1634,7 @@ plot_all_mean_splines <- function(
 plot_cluster_mean_splines <- function(
     curve_values,
     plot_info,
-    level
-    ) {
-
+    level) {
   clusters <- sort(unique(curve_values$cluster))
 
   plots <- list()
@@ -1672,16 +1642,16 @@ plot_cluster_mean_splines <- function(
     subset_df <- subset(
       curve_values,
       curve_values$cluster == current_cluster
-      )
+    )
     subset_df$cluster <- NULL
     nr_of_hits <- nrow(subset_df)
     current_title <- paste(
       "Cluster",
-      current_cluster, 
+      current_cluster,
       "| Hits:",
       nr_of_hits,
       sep = " "
-      )
+    )
 
     plots[[length(plots) + 1]] <-
       plot_single_and_mean_splines(
@@ -1689,9 +1659,9 @@ plot_cluster_mean_splines <- function(
         current_title,
         plot_info = plot_info,
         level
-        )
+      )
   }
-  
+
   return(plots)
 }
 
@@ -1715,17 +1685,17 @@ plot_cluster_mean_splines <- function(
 #' @param X The limma design matrix that defines the experimental conditions.
 #' @param time_unit_label A string shown in the plots as the unit for the time,
 #' such as min or hours.
-#' @param plot_info List containing the elements y_axis_label (string), 
+#' @param plot_info List containing the elements y_axis_label (string),
 #'                  time_unit (string), treatment_labels (character vector),
-#'                  treatment_timepoints (integer vector). All can also be NA. 
-#'                  This list is used to add this info to the spline plots. 
+#'                  treatment_timepoints (integer vector). All can also be NA.
+#'                  This list is used to add this info to the spline plots.
 #'                  time_unit is used to label the x-axis, and treatment_labels
 #'                  and -timepoints are used to create vertical dashed lines,
-#'                  indicating the positions of the treatments (such as 
+#'                  indicating the positions of the treatments (such as
 #'                  feeding, temperature shift, etc.).
 #' @param adj_pthreshold Double > 0 and < 1 specifying the adj. p-val threshold.
 #' @param replicate_column String specifying the column of the meta dataframe
-#' that contains the labels of the replicate measurents. When that is not 
+#' that contains the labels of the replicate measurents. When that is not
 #' given, this argument is NULL.
 #'
 #' @return A list containing the composite plot and the number of rows used in
@@ -1742,65 +1712,63 @@ plot_splines <- function(
     top_table,
     data,
     meta,
-    X,   
+    X,
     time_unit_label,
     plot_info,
     adj_pthreshold,
     replicate_column,
-    level
-) {
-
+    level) {
   # Sort so that HTML reports are easier to read and comparisons are easier.
   top_table <- top_table |> dplyr::arrange(.data$feature_names)
-  
+
   DoF <- which(names(top_table) == "AveExpr") - 1
   time_points <- meta$Time
-  
+
   titles <- data.frame(
     FeatureID = top_table$feature_nr,
     feature_names = top_table$feature_names
   )
-  
+
   plot_list <- list()
-  
+
   for (hit in 1:nrow(top_table)) {
     hit_index <- as.numeric(top_table$feature_nr[hit])
     y_values <- data[hit_index, ]
-    
+
     intercept <- top_table$intercept[hit]
     spline_coeffs <- as.numeric(top_table[hit, 1:DoF])
-    
+
     Time <- seq(
       meta$Time[1],
       meta$Time[length(meta$Time)],
-      length.out = 1000   # To ensure smoothness of the curve
+      length.out = 1000 # To ensure smoothness of the curve
     )
-    
+
     fitted_values <- X %*% spline_coeffs + intercept
-    
+
     plot_data <- data.frame(
       Time = time_points,
       Y = y_values
     )
-    
+
     # If replicate_column is specified (i.e., a string), use replicate info
     if (!is.null(replicate_column) && is.character(replicate_column)) {
-      replicates <- meta[[replicate_column]]  # Get the replicate information
-      plot_data$Replicate <- replicates  # Add replicate info to plot data
-      
+      replicates <- meta[[replicate_column]] # Get the replicate information
+      plot_data$Replicate <- replicates # Add replicate info to plot data
+
       # Create color palette for replicates
       replicate_colors <- scales::hue_pal()(length(unique(replicates)))
       names(replicate_colors) <- unique(replicates)
-      
+
       color_values <- c(
         "Spline" = "red",
         replicate_colors
-        )
+      )
     } else {
       color_values <- c(
         "Data" = "blue",
         "Spline" = "red"
-        )
+      )
     }
 
     # Get adjusted p-value and significance stars
@@ -1818,122 +1786,123 @@ plot_splines <- function(
         )
       )
     )
-    
+
     avg_cv <- calc_cv(
       time_values = time_points,
       response_values = y_values
-      )
-    
+    )
+
     # Use local environment to avoid unwanted updating dynamic legend label.
     p <- local({
-
       plot_spline <- data.frame(
         Time = Time,
         Fitted = fitted_values
       )
-      
+
       x_max <- as.numeric(max(time_points))
       x_extension <- x_max * 0.05
 
       # Define color column outside aes()
-      color_column_values <- if (!is.null(replicate_column) 
-                          && is.character(replicate_column)) {
-        plot_data$Replicate  # Use replicate column if it exists
+      color_column_values <- if (!is.null(replicate_column) &&
+        is.character(replicate_column)) {
+        plot_data$Replicate # Use replicate column if it exists
       } else {
         rep("Data", nrow(plot_data))
       }
-      
+
       plot_data$color_column <- factor(color_column_values)
-      
+
       p <- ggplot2::ggplot() +
         ggplot2::geom_point(
-          data = plot_data, 
+          data = plot_data,
           ggplot2::aes(
-            x = Time, 
+            x = Time,
             y = .data$Y,
             color = color_column
           ),
-          alpha = 0.5  # 50% transparent data dots
+          alpha = 0.5 # 50% transparent data dots
         ) +
         ggplot2::geom_line(
-          data = plot_spline, 
+          data = plot_spline,
           ggplot2::aes(
-            x = .data$Time, 
-            y = .data$Fitted, 
+            x = .data$Time,
+            y = .data$Fitted,
             color = "Spline"
           )
         ) +
         ggplot2::theme_minimal() +
         ggplot2::scale_x_continuous(
           limits = c(min(time_points), x_max + x_extension),
-          breaks = filter_timepoints(time_points),  
+          breaks = filter_timepoints(time_points),
           labels = function(x) {
             x
           }
         ) +
         ggplot2::labs(
-          x = paste0("Time ", time_unit_label), 
+          x = paste0("Time ", time_unit_label),
           y = plot_info$y_axis_label
         ) +
         ggplot2::guides(
-          color = ggplot2::guide_legend(title = NULL)  # Remove the legend title
+          color = ggplot2::guide_legend(title = NULL) # Remove the legend title
         ) +
         ggplot2::theme(
-          legend.position = "right", 
+          legend.position = "right",
           legend.justification = "center",
-          legend.box = "vertical",   
-          legend.background = ggplot2::element_blank(),  
-          legend.title = ggplot2::element_blank(),  
+          legend.box = "vertical",
+          legend.background = ggplot2::element_blank(),
+          legend.title = ggplot2::element_blank(),
           legend.text = ggplot2::element_text(
-            size = 6, 
+            size = 6,
             margin = ggplot2::margin(t = 4, b = 4)
           ),
           axis.text.x = ggplot2::element_text(
-            size = 8, 
-            angle = 45,   # Tilt labels by 45 degrees
-            hjust = 1     # Adjust horizontal justification
+            size = 8,
+            angle = 45, # Tilt labels by 45 degrees
+            hjust = 1 # Adjust horizontal justification
           ),
           axis.title.y = ggplot2::element_text(
-            size = 8, 
+            size = 8,
             margin = ggplot2::margin(t = 0, r = 2, b = 0, l = 0)
           ),
           axis.text.y = ggplot2::element_text(
             margin = ggplot2::margin(t = 0, r = 5, b = 0, l = 0)
           )
         )
-      
-      y_pos = max(
+
+      y_pos <- max(
         max(y_values, na.rm = TRUE),
         max(fitted_values, na.rm = TRUE)
-        )
-      
+      )
+
       result <- maybe_add_dashed_lines(
-        p = p, 
+        p = p,
         plot_info = plot_info,
         level = level,
         y_pos = y_pos
-        )
+      )
+
+      p <- result$p # Updated plot with dashed lines
+      treatment_colors <- result$treatment_colors # Colors used for treatments
 
-      p <- result$p  # Updated plot with dashed lines
-      treatment_colors <- result$treatment_colors  # Colors used for treatments
-      
       color_values <- c(color_values, treatment_colors)
-      
+
       # Add title and annotations
       matched_row <- dplyr::filter(
         titles,
         !!rlang::sym("FeatureID") == hit_index
       )
-      
+
       title <- as.character(matched_row$feature_name)
-      
+
       if (nchar(title) > 100) {
         title_before <- title
         title <- paste0(substr(title, 1, 100), " ...")
-        message(paste("The feature ID", title_before, "is > 100 characters.",
-                      "Truncating it to 100 chars:", title))
+        message(paste(
+          "The feature ID", title_before, "is > 100 characters.",
+          "Truncating it to 100 chars:", title
+        ))
       }
-      
+
       if (is.na(title)) {
         title <- paste("feature:", hit_index)
       }
@@ -1956,19 +1925,19 @@ plot_splines <- function(
           plot.title = ggplot2::element_text(size = 6),
           axis.title.x = ggplot2::element_text(size = 8),
           axis.title.y = ggplot2::element_text(size = 8),
-          legend.key.size = grid::unit(0.6, "cm"),  
+          legend.key.size = grid::unit(0.6, "cm"),
           legend.key.height = grid::unit(0.3, "cm"),
           legend.title = ggplot2::element_text(size = 8),
           legend.text = ggplot2::element_text(size = 6),
           axis.text.x = ggplot2::element_text(size = 6)
         )
-      
+
       p
     })
-    
+
     plot_list[[hit]] <- p
   }
-  
+
   return(plot_list)
 }
 
@@ -1976,11 +1945,11 @@ plot_splines <- function(
 #' Create spline comparison plots for two conditions
 #'
 #' @description
-#' This function generates comparison plots for spline fits of two conditions 
-#' over time. It compares the time effects of two conditions, plots the data 
-#' points, and overlays the fitted spline curves. The function checks if the 
-#' adjusted p-values for the average difference between conditions and the 
-#' interaction between condition and time are below the specified thresholds 
+#' This function generates comparison plots for spline fits of two conditions
+#' over time. It compares the time effects of two conditions, plots the data
+#' points, and overlays the fitted spline curves. The function checks if the
+#' adjusted p-values for the average difference between conditions and the
+#' interaction between condition and time are below the specified thresholds
 #' before generating plots.
 #'
 #' @param time_effect_1 A data frame containing the time effects for the first
@@ -1990,10 +1959,10 @@ plot_splines <- function(
 #'  condition.
 #' @param condition_2 The name of the second condition.
 #' @param avrg_diff_conditions A data frame with the adjusted p-values for the
-#'  average difference 
+#'  average difference
 #' between conditions.
 #' @param interaction_condition_time A data frame with the adjusted p-values
-#'  for the interaction between 
+#'  for the interaction between
 #' condition and time.
 #' @param data The data matrix containing the measurements.
 #' @param meta The metadata associated with the measurements.
@@ -2001,23 +1970,23 @@ plot_splines <- function(
 #' experiment.
 #' @param X_1 A matrix of spline basis values for the first condition.
 #' @param X_2 A matrix of spline basis values for the second condition.
-#' @param plot_info A list containing plotting information such as time unit 
+#' @param plot_info A list containing plotting information such as time unit
 #' and axis labels.
-#' @param adj_pthresh_avrg_diff_conditions The adjusted p-value threshold for 
-#' the average difference 
+#' @param adj_pthresh_avrg_diff_conditions The adjusted p-value threshold for
+#' the average difference
 #' between conditions.
-#' @param adj_pthresh_interaction The adjusted p-value threshold for the 
-#' interaction between 
+#' @param adj_pthresh_interaction The adjusted p-value threshold for the
+#' interaction between
 #' condition and time.
-#' 
+#'
 #' @return A list containing:
 #' \describe{
 #'   \item{plots}{A list of ggplot2 plots comparing the two conditions.}
 #'   \item{feature_names}{A list of feature names for the plotted features.}
 #' }
-#' 
+#'
 #' @importFrom rlang .data
-#' 
+#'
 plot_spline_comparisons <- function(
     time_effect_1,
     condition_1,
@@ -2032,15 +2001,13 @@ plot_spline_comparisons <- function(
     X_2,
     plot_info,
     adj_pthresh_avrg_diff_conditions,
-    adj_pthresh_interaction
-) {
-
+    adj_pthresh_interaction) {
   # Sort and prepare data (sorting based on feature name for easy navigation)
   time_effect_1 <- time_effect_1 |> dplyr::arrange(.data$feature_names)
   time_effect_2 <- time_effect_2 |> dplyr::arrange(.data$feature_names)
-  avrg_diff_conditions <- 
+  avrg_diff_conditions <-
     avrg_diff_conditions |> dplyr::arrange(.data$feature_names)
-  interaction_condition_time <- 
+  interaction_condition_time <-
     interaction_condition_time |> dplyr::arrange(.data$feature_names)
 
   # Get relevant parameters
@@ -2073,34 +2040,33 @@ plot_spline_comparisons <- function(
     avrg_diff_pval <- as.numeric(avrg_diff_conditions[hit, "adj.P.Val"])
     interaction_pval <- as.numeric(interaction_condition_time[hit, "adj.P.Val"])
 
-    if (avrg_diff_pval < adj_pthresh_avrg_diff_conditions
-        || interaction_pval < adj_pthresh_interaction) {
-      
+    if (avrg_diff_pval < adj_pthresh_avrg_diff_conditions ||
+      interaction_pval < adj_pthresh_interaction) {
       # Define the number of stars for avrg_diff_conditions
       avrg_diff_stars <- ifelse(
-        avrg_diff_pval < adj_pthresh_avrg_diff_conditions / 50, 
-        "***", 
+        avrg_diff_pval < adj_pthresh_avrg_diff_conditions / 50,
+        "***",
         ifelse(
-          avrg_diff_pval < adj_pthresh_avrg_diff_conditions / 5, 
-          "**", 
+          avrg_diff_pval < adj_pthresh_avrg_diff_conditions / 5,
+          "**",
           ifelse(
-            avrg_diff_pval < adj_pthresh_avrg_diff_conditions, 
-            "*", 
+            avrg_diff_pval < adj_pthresh_avrg_diff_conditions,
+            "*",
             ""
           )
         )
       )
-      
+
       # Define the number of stars for interaction_condition_time
       interaction_stars <- ifelse(
-        interaction_pval < adj_pthresh_interaction / 50, 
-        "***", 
+        interaction_pval < adj_pthresh_interaction / 50,
+        "***",
         ifelse(
-          interaction_pval < adj_pthresh_interaction / 5, 
-          "**", 
+          interaction_pval < adj_pthresh_interaction / 5,
+          "**",
           ifelse(
-            interaction_pval < adj_pthresh_interaction, 
-            "*", 
+            interaction_pval < adj_pthresh_interaction,
+            "*",
             ""
           )
         )
@@ -2112,17 +2078,17 @@ plot_spline_comparisons <- function(
         Y1 = ifelse(meta[[condition]] == condition_1, y_values_1, NA),
         Y2 = ifelse(meta[[condition]] == condition_2, y_values_2, NA)
       )
-      
+
       # Calculate average CV for Y1 and Y2 across all time points
       cv_1 <- calc_cv(
-        time_values = plot_data$Time, 
+        time_values = plot_data$Time,
         response_values = plot_data$Y1
-        )
-      
+      )
+
       cv_2 <- calc_cv(
         time_values = plot_data$Time,
         response_values = plot_data$Y2
-        )
+      )
 
       # Create the plot
       p <- ggplot2::ggplot() +
@@ -2132,20 +2098,20 @@ plot_spline_comparisons <- function(
             x = .data$Time,
             y = .data$Y1,
             color = paste("Data", condition_1)
-            ),
+          ),
           na.rm = TRUE,
-          alpha = 0.5  # Make data dots transparent
+          alpha = 0.5 # Make data dots transparent
         ) +
         ggplot2::geom_line(
           data = data.frame(
             Time = Time,
             Fitted = fitted_values_1
-            ),
+          ),
           ggplot2::aes(
             x = .data$Time,
             y = .data$Fitted,
             color = paste("Spline", condition_1)
-            )
+          )
         ) +
         ggplot2::geom_point(
           data = plot_data,
@@ -2153,20 +2119,20 @@ plot_spline_comparisons <- function(
             x = .data$Time,
             y = .data$Y2,
             color = paste("Data", condition_2)
-            ),
+          ),
           na.rm = TRUE,
-          alpha = 0.5  # Make data dots transparent
+          alpha = 0.5 # Make data dots transparent
         ) +
         ggplot2::geom_line(
           data = data.frame(
             Time = Time,
             Fitted = fitted_values_2
-            ),
+          ),
           ggplot2::aes(
             x = .data$Time,
             y = .data$Fitted,
             color = paste("Spline", condition_2)
-            )
+          )
         ) +
         ggplot2::scale_color_manual(values = setNames(
           c(
@@ -2174,27 +2140,28 @@ plot_spline_comparisons <- function(
             "orange",
             "purple",
             "purple"
+          ),
+          c(
+            paste(
+              "Data",
+              condition_1
             ),
-          c(paste(
-            "Data",
-            condition_1
-            ), 
             paste(
               "Spline",
               condition_1
-              ),
+            ),
             paste(
               "Data",
               condition_2
-              ),
+            ),
             paste(
               "Spline",
               condition_2
-              )
             )
+          )
         )) +
         ggplot2::scale_x_continuous(
-          breaks = filter_timepoints(time_points) 
+          breaks = filter_timepoints(time_points)
         ) +
         ggplot2::labs(
           title = paste(
@@ -2244,14 +2211,12 @@ plot_spline_comparisons <- function(
 #' dataframe with a `feature_nr` column. Some elements may be logical values.
 #' @param annotation A dataframe containing the annotation information.
 #'
-#' @return A list with updated `top_table` dataframes containing merged 
+#' @return A list with updated `top_table` dataframes containing merged
 #' annotation information.
 #'
 merge_annotation_all_levels_clustering <- function(
     all_levels_clustering,
-    annotation = NULL
-) {
-  
+    annotation = NULL) {
   all_levels_clustering <- lapply(
     all_levels_clustering,
     function(x) {
@@ -2265,7 +2230,7 @@ merge_annotation_all_levels_clustering <- function(
       return(x)
     }
   )
-  
+
   return(all_levels_clustering)
 }
 
@@ -2273,8 +2238,8 @@ merge_annotation_all_levels_clustering <- function(
 #' Prepare Gene Lists for Enrichr and Return as String
 #'
 #' @description
-#' This function processes the clustered hits in each element of 
-#' `all_levels_clustering`, formats the gene names for easy copy-pasting into 
+#' This function processes the clustered hits in each element of
+#' `all_levels_clustering`, formats the gene names for easy copy-pasting into
 #' Enrichr, and returns the formatted gene lists as a string.
 #'
 #' @param all_levels_clustering A list where each element contains a dataframe
@@ -2285,47 +2250,44 @@ merge_annotation_all_levels_clustering <- function(
 #'
 prepare_gene_lists_for_enrichr <- function(
     all_levels_clustering,
-    genes
-) {
-
+    genes) {
   formatted_gene_lists <- list()
-  
+
   for (i in seq_along(all_levels_clustering)) {
-    
     if (is.logical(all_levels_clustering[[i]])) next
-    
+
     level_name <- names(all_levels_clustering)[i]
     clustered_hits <- all_levels_clustering[[i]]$clustered_hits
-    
+
     # Process each cluster
     clusters <- split(
       clustered_hits$feature,
       clustered_hits$cluster
     )
-    
+
     level_gene_lists <- list()
-    
+
     for (cluster_id in names(clusters)) {
       cluster_genes <- clusters[[cluster_id]]
 
       gene_list <- genes[cluster_genes]
-      gene_list <- na.omit(gene_list)  # Remove NAs if any
-      
+      gene_list <- na.omit(gene_list) # Remove NAs if any
+
       if (length(gene_list) > 0) {
-        level_gene_lists[[paste0("Cluster ", cluster_id)]] <- 
+        level_gene_lists[[paste0("Cluster ", cluster_id)]] <-
           paste(gene_list, collapse = "\n")
       }
     }
-    
+
     formatted_gene_lists[[level_name]] <- level_gene_lists
   }
-  
+
   # Prepare the background genes list using preprocessed genes
   background_gene_list <- paste(
     na.omit(genes),
     collapse = "\n"
-    )
-  
+  )
+
   return(list(
     gene_lists = formatted_gene_lists,
     background = background_gene_list
@@ -2351,7 +2313,7 @@ prepare_gene_lists_for_enrichr <- function(
 #' @param level_headers_info A list of header information for each level.
 #' @param spline_params A list of spline parameters.
 #' @param adj_pthresholds Float vector with values for any level for adj.p.tresh
-#' @param adj_pthresh_avrg_diff_conditions Float 
+#' @param adj_pthresh_avrg_diff_conditions Float
 #' @param adj_pthresh_interaction_condition_time Float
 #' @param mode A character string specifying the mode
 #'            ('isolated' or 'integrated').
@@ -2377,13 +2339,11 @@ build_cluster_hits_report <- function(
     adj_pthresh_interaction_condition_time,
     mode,
     report_info,
-    output_file_path
-    ) {
-
+    output_file_path) {
   html_content <- paste(header_section, "<!--TOC-->", sep = "\n")
-  
+
   toc <- create_toc()
-  
+
   styles <- define_html_styles()
   section_header_style <- styles$section_header_style
   toc_style <- styles$toc_style
@@ -2392,12 +2352,12 @@ build_cluster_hits_report <- function(
   j <- 0
   level_headers_info <- Filter(Negate(is.null), level_headers_info)
 
-  
+
   pb <- create_progress_bar(plots)
 
   header_index <- 0
   level_index <- 0
-  
+
   # Generate the sections and plots
   for (index in seq_along(plots)) {
     header_index <- header_index + 1
@@ -2410,30 +2370,29 @@ build_cluster_hits_report <- function(
       # means this is the section of a new level
       # The very first level is also a new level
       if (names(plots)[index] == "new_level") {
-        
         level_index <- level_index + 1
-        
+
         time_effect_section_header <- paste(
           "Time Effect of Condition:",
           header_info$header_name
         )
-        
+
         section_header <- sprintf(
           "<h2 style='%s' id='section%d'>%s</h2>",
           section_header_style,
           header_index,
           time_effect_section_header
-          )
+        )
 
         html_content <- paste(
           html_content,
           section_header,
           sep = "\n"
-          )
+        )
 
         if (mode == "integrated") {
           j <- 1
-        } else {      # mode == "isolated" or mode == NA
+        } else { # mode == "isolated" or mode == NA
           j <- j + 1
         }
 
@@ -2441,13 +2400,13 @@ build_cluster_hits_report <- function(
           get_spline_params_info(
             spline_params = spline_params,
             j = j
-            )
+          )
 
         html_content <- paste(
           html_content,
           spline_params_info,
           sep = "\n"
-          )
+        )
 
         hits_info <- sprintf(
           paste0(
@@ -2465,19 +2424,19 @@ build_cluster_hits_report <- function(
           html_content,
           hits_info,
           sep = "\n"
-          )
+        )
 
         toc_entry <- sprintf(
           "<li style='%s'><a href='#section%d'>%s</a></li>",
           toc_style,
           header_index,
           time_effect_section_header
-          )
+        )
         toc <- paste(
           toc,
           toc_entry,
           sep = "\n"
-          )
+        )
 
         current_header_index <- current_header_index + 1
 
@@ -2496,14 +2455,13 @@ build_cluster_hits_report <- function(
     )
 
     if (element_name %in% header_levels) {
-      
       if (element_name == "dendrogram") {
         header_text <- "Overall Clustering"
       } else if (element_name == "cluster_mean_splines") {
         header_text <- "Min-max normalized individual and mean splines"
       } else if (element_name == "heatmap") {
         header_text <- "Z-Score of log2 Value Heatmap"
-        
+
         heatmap_description <- paste(
           "<div style='text-align: center; font-size: 1.5em;'>",
           "Rows = features (labels on the right, cluster labels on the left),",
@@ -2511,7 +2469,7 @@ build_cluster_hits_report <- function(
           of the row;",
           "</div>"
         )
-      } else {  # element_name == "individual_spline_plots"
+      } else { # element_name == "individual_spline_plots"
         adjusted_p_val <- adj_pthresholds[level_index]
         header_text <- "Individual Significant Features (Hits) Splines"
         asterisks_definition <- paste(
@@ -2523,8 +2481,8 @@ build_cluster_hits_report <- function(
           sep = "<br>"
         )
       }
-      
-      # Add the main title as a section title with an anchor 
+
+      # Add the main title as a section title with an anchor
       # before the first plot
       header <- paste0(
         "<h2 id='section",
@@ -2534,9 +2492,9 @@ build_cluster_hits_report <- function(
         "</h2>",
         if (exists("heatmap_description")) heatmap_description else ""
       )
-      
+
       if (exists("heatmap_description")) rm(heatmap_description)
-      
+
       # Add the asterisks definition if it exists
       if (exists("asterisks_definition")) {
         header <- paste0(
@@ -2544,31 +2502,32 @@ build_cluster_hits_report <- function(
           "<div style='text-align: center;",
           "font-size: 1.5em;'>",
           asterisks_definition,
-          "</div>")
-        
-        rm(asterisks_definition)  # Otherwise, the next level has it everywhere
+          "</div>"
+        )
+
+        rm(asterisks_definition) # Otherwise, the next level has it everywhere
       }
-      
+
       html_content <- paste(
         html_content,
         header,
         sep = "\n"
       )
-      
+
       toc_entry <- paste0(
         "<li style='margin-left: 30px; font-size: 30px;'>",
         "<a href='#section",
         header_index,
         "'>",
-        header_text, 
+        header_text,
         "</a></li>"
       )
-      
+
       toc <- paste(toc, toc_entry, sep = "\n")
     }
-    
+
     header_index <- header_index + 1
-    
+
     result <- process_plots(
       plots_element = plots[[index]],
       element_name = names(plots)[index],
@@ -2576,11 +2535,11 @@ build_cluster_hits_report <- function(
       html_content = html_content,
       toc = toc,
       header_index = header_index
-      )
-    
+    )
+
     html_content <- result$html_content
     toc <- result$toc
-    
+
     pb$tick()
   }
 
@@ -2588,7 +2547,7 @@ build_cluster_hits_report <- function(
   if (length(limma_result_2_and_3_plots) > 0) {
     # Create a new main header for the limma result plots
     header_index <- header_index + 1
-    
+
     # Add the main header and anchor it
     limma_main_header <- sprintf(
       "<h2 style='%s' id='section%d'>%s</h2>",
@@ -2596,14 +2555,14 @@ build_cluster_hits_report <- function(
       header_index,
       "Avrg diff conditions & interaction condition time"
     )
-    
+
     html_content <- paste(
       html_content,
       limma_main_header,
       sep = "\n"
     )
-    
-    # Define the asterisks definition for both adjusted p-values, 
+
+    # Define the asterisks definition for both adjusted p-values,
     # centered, with larger p-value text
     asterisks_definition_avrg_diff <- paste(
       "<div style='text-align:center; margin-bottom: 20px;'>",
@@ -2614,27 +2573,27 @@ build_cluster_hits_report <- function(
         adj_pthresh_avrg_diff_conditions,
         "--> *</span>",
         sep = " "
-        ),
+      ),
       "<br>",
       paste(
         "<span style='font-size:18pt;'>Adj. p-value <",
         adj_pthresh_avrg_diff_conditions / 5,
         "--> **</span>",
         sep = " "
-        ),
+      ),
       "<br>",
       paste(
         "<span style='font-size:18pt;'>Adj. p-value <",
         adj_pthresh_avrg_diff_conditions / 50,
         "--> ***</span>",
         sep = " "
-        ),
+      ),
       "</div>",
       sep = "\n"
     )
-    
+
     asterisks_definition_interaction <- paste(
-      "<div style='text-align:center; margin-bottom: 40px;'>",  
+      "<div style='text-align:center; margin-bottom: 40px;'>",
       "<b><span style='font-size:24pt;
       '>Asterisks definition (Interaction):</span></b><br>",
       paste(
@@ -2642,25 +2601,25 @@ build_cluster_hits_report <- function(
         adj_pthresh_interaction_condition_time,
         "--> *</span>",
         sep = " "
-        ),
+      ),
       "<br>",
       paste(
         "<span style='font-size:18pt;'>Adj. p-value <",
         adj_pthresh_interaction_condition_time / 5,
         "--> **</span>",
         sep = " "
-        ),
+      ),
       "<br>",
       paste(
         "<span style='font-size:18pt;'>Adj. p-value <",
         adj_pthresh_interaction_condition_time / 50,
         "--> ***</span>",
         sep = " "
-        ),
+      ),
       "</div>",
       sep = "\n"
     )
-    
+
     # Add the asterisks definitions to the HTML content
     html_content <- paste(
       html_content,
@@ -2668,7 +2627,7 @@ build_cluster_hits_report <- function(
       asterisks_definition_interaction,
       sep = "\n"
     )
-    
+
     # Add an entry in the table of contents for this new section
     toc_entry <- sprintf(
       "<li style='%s'><a href='#section%d'>%s</a></li>",
@@ -2681,10 +2640,9 @@ build_cluster_hits_report <- function(
       toc_entry,
       sep = "\n"
     )
-    
+
     # Loop over each element in limma_result_2_and_3_plots
     for (comparison_name in names(limma_result_2_and_3_plots)) {
-      
       # Create a subheader for each comparison
       header_index <- header_index + 1
       subheader <- sprintf(
@@ -2693,59 +2651,59 @@ build_cluster_hits_report <- function(
         header_index,
         comparison_name
       )
-      
+
       html_content <- paste(
         html_content,
         subheader,
         sep = "\n"
       )
-      
+
       # Add an entry in the TOC for this subheader
       toc_entry <- paste0(
         "<li style='margin-left: 30px; font-size: 30px;'>",
         "<a href='#section",
-        header_index,  
+        header_index,
         "'>",
-        comparison_name, 
+        comparison_name,
         "</a></li>"
       )
-      
+
       toc <- paste(
         toc,
         toc_entry,
         sep = "\n"
       )
-      
+
       # Extract plot_list and feature_names_list for the current comparison
       comparison <- limma_result_2_and_3_plots[[comparison_name]]
       comparison_plots <- comparison$plots
       comparison_feature_names <- comparison$feature_names
-      
+
       # Iterate through each plot and its corresponding feature name
       for (i in seq_along(comparison_plots)) {
         # Add the feature name as a copyable text above the plot
         feature_name_div <- sprintf(
-          '<div style="text-align: center; 
+          '<div style="text-align: center;
           font-size: 36px; margin-bottom: 10px;">%s</div>',
           comparison_feature_names[[i]]
         )
-        
+
         html_content <- paste(
           html_content,
-          feature_name_div,  # Add the feature name above the plot
+          feature_name_div, # Add the feature name above the plot
           sep = "\n"
         )
-        
+
         # Now add the plot itself
         result <- process_plots(
           plots_element = comparison_plots[[i]],
-          plots_size = 1.5,  
+          plots_size = 1.5,
           html_content = html_content,
           toc = toc,
           header_index = header_index,
-          element_name = ""  
+          element_name = ""
         )
-        
+
         html_content <- result$html_content
         toc <- result$toc
       }
@@ -2799,23 +2757,20 @@ get_curve_values <- function(
     meta,
     condition,
     spline_params,
-    mode
-    ) {
-
+    mode) {
   subset_meta <- meta[meta[[condition]] == level, ]
 
   if (mode == "isolated") {
     level_index <- match(level, unique(meta[[condition]]))
-  }
-  else if (mode == "integrated") {
-    level_index <- 1   # Different spline params not supported for this mode
+  } else if (mode == "integrated") {
+    level_index <- 1 # Different spline params not supported for this mode
   }
 
   smooth_timepoints <- seq(
     subset_meta$Time[1],
     subset_meta$Time[length(subset_meta$Time)],
-    length.out = 1000   # To ensure smoothness of the curve.
-    )
+    length.out = 1000 # To ensure smoothness of the curve.
+  )
 
   args <- list(x = smooth_timepoints, intercept = FALSE)
 
@@ -2833,7 +2788,7 @@ get_curve_values <- function(
   if (spline_params$spline_type[level_index] == "b") {
     args$degree <- spline_params$degree[level_index]
     X <- do.call(splines::bs, args)
-  } else {                                          # natural cubic splines
+  } else { # natural cubic splines
     X <- do.call(splines::ns, args)
   }
 
@@ -2848,26 +2803,26 @@ get_curve_values <- function(
   curve_values <- matrix(
     nrow = nrow(splineCoeffs),
     ncol = length(smooth_timepoints)
-    )
+  )
 
-  for(i in 1:nrow(splineCoeffs)) {
+  for (i in 1:nrow(splineCoeffs)) {
     current_coeffs <- matrix(
       splineCoeffs[i, ],
       ncol = ncol(splineCoeffs),
       byrow = TRUE
-      )
+    )
 
     curve_values[i, ] <- current_coeffs %*% t(X)
   }
 
   curve_values <- as.data.frame(curve_values)
   rownames(curve_values) <- rownames(splineCoeffs)
-  
+
   list(
     curve_values = curve_values,
     smooth_timepoints = smooth_timepoints,
     X = X
-    )
+  )
 }
 
 
@@ -2888,13 +2843,12 @@ get_curve_values <- function(
 #'         has been normalized.
 #'
 normalize_curves <- function(curve_values) {
-
   normalized_curves <- apply(curve_values, 1, function(row) {
     (row - min(row)) / (max(row) - min(row))
   })
 
   normalized_curves <- t(normalized_curves)
-  curve_values[,] <- normalized_curves
+  curve_values[, ] <- normalized_curves
   curve_values
 }
 
@@ -2918,9 +2872,7 @@ hierarchical_clustering <- function(
     curve_values,
     k,
     smooth_timepoints,
-    top_table
-    ) {
-
+    top_table) {
   distance_matrix <- stats::dist(curve_values, method = "euclidean")
   hc <- stats::hclust(distance_matrix, method = "complete")
 
@@ -2944,7 +2896,7 @@ hierarchical_clustering <- function(
     curve_values = curve_values,
     top_table = top_table,
     clusters = k
-    )
+  )
 }
 
 
@@ -2974,46 +2926,45 @@ hierarchical_clustering <- function(
 #'
 get_spline_params_info <- function(
     spline_params,
-    j
-    ) {
-
+    j) {
   if (!is.null(spline_params$spline_type) &&
-      length(spline_params$spline_type) >= j) {
+    length(spline_params$spline_type) >= j) {
     spline_params$spline_type[j] <- spline_params$spline_type[j]
   } else {
     spline_params$spline_type[j] <- NA
   }
 
   if (!is.null(spline_params$degree) &&
-      length(spline_params$degree) >= j) {
+    length(spline_params$degree) >= j) {
     spline_params$degree[j] <- spline_params$degree[j]
   } else {
     spline_params$degree[j] <- NA
   }
 
   if (!is.null(spline_params$dof) &&
-      length(spline_params$dof) >= j) {
+    length(spline_params$dof) >= j) {
     spline_params$dof[j] <- spline_params$dof[j]
   } else {
     spline_params$dof[j] <- NA
   }
 
   if (!is.null(spline_params$knots) &&
-      length(spline_params$knots) >= j) {
+    length(spline_params$knots) >= j) {
     spline_params$knots[j] <- spline_params$knots[j]
   } else {
     spline_params$knots[j] <- NA
   }
 
   if (!is.null(spline_params$bknots) &&
-      length(spline_params$bknots) >= j) {
+    length(spline_params$bknots) >= j) {
     spline_params$bknots[j] <- spline_params$bknots[j]
   } else {
     spline_params$bknots[j] <- NA
   }
 
   if (spline_params$spline_type[j] == "b") {
-    spline_params_info <- sprintf("
+    spline_params_info <- sprintf(
+      "
     <p style='text-align: center; font-size: 30px;'>
         <span style='color: blue;'>Spline-type:</span> B-spline<br>
         <span style='color: blue;'>Degree:</span> %s<br>
@@ -3021,18 +2972,21 @@ get_spline_params_info <- function(
         <span style='color: blue;'>Knots:</span> %s<br>
         <span style='color: blue;'>Boundary-knots:</span> %s
     </p>",
-    spline_params$degree[j], spline_params$dof[j],
-    spline_params$knots[j], spline_params$bknots[j])
-  } else {    # spline_type == "n"
-    spline_params_info <- sprintf("
+      spline_params$degree[j], spline_params$dof[j],
+      spline_params$knots[j], spline_params$bknots[j]
+    )
+  } else { # spline_type == "n"
+    spline_params_info <- sprintf(
+      "
     <p style='text-align: center; font-size: 30px;'>
         <span style='color: blue;'>Spline-type:</span> Natural cubic spline<br>
         <span style='color: blue;'>DoF:</span> %s<br>
         <span style='color: blue;'>Knots:</span> %s<br>
         <span style='color: blue;'>Boundary-knots:</span> %s
     </p>",
-    spline_params$dof[j], spline_params$knots[j],
-    spline_params$bknots[j])
+      spline_params$dof[j], spline_params$knots[j],
+      spline_params$bknots[j]
+    )
   }
   return(spline_params_info)
 }
@@ -3053,97 +3007,92 @@ get_spline_params_info <- function(
 #'
 truncate_row_names <- function(
     names,
-    max_length = 40
-    ) {
-  sapply(names, function(x) {
+    max_length = 40) {
+  vapply(names, function(x) {
     if (nchar(x) > max_length) {
       return(paste0(substr(x, 1, max_length - 3), " ..."))
     } else {
       return(x)
     }
-  })
+  }, character(1))
 }
 
 
 filter_timepoints <- function(
     time_points,
-    percentage_threshold = 0.05
-    ) {
-  
+    percentage_threshold = 0.05) {
   x_max <- as.numeric(max(time_points))
-  
+
   # Calculate the minimum spacing based on the threshold
-  min_spacing <- x_max * percentage_threshold  
-  
+  min_spacing <- x_max * percentage_threshold
+
   all_time_points <- unique(c(time_points))
-  
+
   # Calculate the differences between consecutive time points
   time_diffs <- diff(all_time_points)
-  
+
   # Keep labels that are more than the minimum spacing apart
   keep_labels <- c(TRUE, time_diffs > min_spacing)
   filtered_time_points <- all_time_points[keep_labels]
-  
+
   return(filtered_time_points)
 }
 
 
-
 #' Calculate average CV across unique time points
 #'
 #' @description
-#' This function calculates the coefficient of variation (CV) for each unique 
-#' time point based on the provided time values and response values. It then 
-#' returns the average CV across all time points. The CV is only calculated if 
-#' there are more than one valid (non-NA) values for a given time point and 
+#' This function calculates the coefficient of variation (CV) for each unique
+#' time point based on the provided time values and response values. It then
+#' returns the average CV across all time points. The CV is only calculated if
+#' there are more than one valid (non-NA) values for a given time point and
 #' the mean of the values is non-zero.
 #'
-#' @param time_values A numeric vector containing the time points. Time points 
+#' @param time_values A numeric vector containing the time points. Time points
 #' may repeat across replicates.
-#' @param response_values A numeric vector of response values corresponding to 
+#' @param response_values A numeric vector of response values corresponding to
 #' the time points.
 #'
-#' @return The average coefficient of variation (CV) across all time points. 
+#' @return The average coefficient of variation (CV) across all time points.
 #' Returns NA if all CVs are NA.
 #'
 calc_cv <- function(
-    time_values, 
-    response_values
-    ) {
-
+    time_values,
+    response_values) {
   time_data <- data.frame(
-    Time = time_values, 
+    Time = time_values,
     Response = response_values
   )
-  
+
   unique_times <- unique(time_data$Time)
-  
-  cvs <- sapply(
+
+  cvs <- vapply(
     unique_times,
-    function(t) 
-    {
+    function(t) {
       # Subset for the specific time point
       values_at_time <- time_data$Response[time_data$Time == t]
       # Calculate CV if the mean is not zero and there are enough data points
-      if (mean(values_at_time, na.rm = TRUE) != 0 
-          && sum(!is.na(values_at_time)) > 1) {
+      if (mean(values_at_time, na.rm = TRUE) != 0 &&
+        sum(!is.na(values_at_time)) > 1) {
         (sd(
-          values_at_time, 
+          values_at_time,
           na.rm = TRUE
-        ) / 
+        ) /
           mean(
-            values_at_time, 
+            values_at_time,
             na.rm = TRUE
           )) * 100
       } else {
-        NA  # Return NA for CV when mean is 0 or insufficient data points
+        NA # Return NA for CV when mean is 0 or insufficient data points
       }
-    })
+    },
+    numeric(1)
+  )
   # Return the average CV across time points
   return(mean(
     cvs,
     na.rm = TRUE
-    ))
+  ))
 }
 
 
@@ -3155,13 +3104,13 @@ calc_cv <- function(
 #'
 #' @param time_series_data A dataframe or matrix with time series data.
 #' @param title A character string specifying the title of the plot.
-#' @param plot_info List containing the elements y_axis_label (string), 
+#' @param plot_info List containing the elements y_axis_label (string),
 #'                  time_unit (string), treatment_labels (character vector),
-#'                  treatment_timepoints (integer vector). All can also be NA. 
-#'                  This list is used to add this info to the spline plots. 
+#'                  treatment_timepoints (integer vector). All can also be NA.
+#'                  This list is used to add this info to the spline plots.
 #'                  time_unit is used to label the x-axis, and treatment_labels
 #'                  and -timepoints are used to create vertical dashed lines,
-#'                  indicating the positions of the treatments (such as 
+#'                  indicating the positions of the treatments (such as
 #'                  feeding, temperature shift, etc.).
 #'
 #' @return A ggplot object representing the single and consensus shapes.
@@ -3181,12 +3130,10 @@ plot_single_and_mean_splines <- function(
     time_series_data,
     title,
     plot_info,
-    level
-) {
-  
+    level) {
   time_col <- rlang::sym("time")
   feature_col <- rlang::sym("feature")
-  
+
   # Convert data to long format
   df_long <- as.data.frame(t(time_series_data)) |>
     tibble::rownames_to_column(var = "time") |>
@@ -3197,32 +3144,33 @@ plot_single_and_mean_splines <- function(
     ) |>
     dplyr::arrange(!!feature_col) |>
     dplyr::mutate(time = as.numeric(.data$time))
-  
+
   # Compute consensus (mean of each column)
   consensus <- colMeans(time_series_data, na.rm = TRUE)
-  
+
   consensus_df <- data.frame(
     time = as.numeric(colnames(time_series_data)),
     consensus = consensus
   )
-  
-  time_unit_label = paste0("[", plot_info$time_unit, "]")
-  
+
+  time_unit_label <- paste0("[", plot_info$time_unit, "]")
+
   color_values <- c(
     "Mean" = "darkblue",
     "Spline" = "#6495ED"
   )
-  
+
   p <- ggplot2::ggplot() +
     ggplot2::geom_line(
-      data = df_long, 
+      data = df_long,
       ggplot2::aes(
         x = !!rlang::sym("time"),
         y = !!rlang::sym("intensity"),
         group = !!rlang::sym("feature"),
         colour = "Spline"
-      ), 
-      alpha = 0.3, linewidth = 0.5) +
+      ),
+      alpha = 0.3, linewidth = 0.5
+    ) +
     ggplot2::geom_line(
       data = consensus_df,
       ggplot2::aes(
@@ -3230,22 +3178,23 @@ plot_single_and_mean_splines <- function(
         y = consensus,
         colour = "Mean"
       ),
-      linewidth = 1.5)
-  
+      linewidth = 1.5
+    )
+
   treatment_labels <- NA
 
   result <- maybe_add_dashed_lines(
     p = p,
     plot_info = plot_info,
     level = level
-    )
-  
+  )
+
   p <- result$p
   treatment_colors <- result$treatment_colors
-  
+
   # Combine the original colors with the treatment colors
   color_values <- c(color_values, treatment_colors)
-  
+
   # Add the final scale for colors and adjust legend
   p <- p +
     ggplot2::scale_colour_manual(
@@ -3279,7 +3228,7 @@ plot_single_and_mean_splines <- function(
       legend.key.size = grid::unit(0.6, "cm"),
       legend.key.height = grid::unit(0.3, "cm")
     )
-  
+
   return(p)
 }
 
@@ -3287,21 +3236,21 @@ plot_single_and_mean_splines <- function(
 #' Conditionally add dashed lines for treatment timepoints
 #'
 #' @description
-#' This internal function checks whether there are valid treatment 
-#' timepoints and labels in the `plot_info` list. If found, it adds 
+#' This internal function checks whether there are valid treatment
+#' timepoints and labels in the `plot_info` list. If found, it adds
 #' dashed vertical lines and their corresponding x-axis values to the plot.
-#' The treatment timepoints and labels can either be named lists (for 
+#' The treatment timepoints and labels can either be named lists (for
 #' multiple levels) or unnamed single elements.
 #'
-#' @param p A ggplot object. The plot to which dashed lines and labels 
+#' @param p A ggplot object. The plot to which dashed lines and labels
 #' will be added.
-#' @param plot_info A list containing the treatment timepoints and 
-#' treatment labels. Treatment timepoints and labels can either be 
-#' unnamed elements or named lists where each element corresponds 
+#' @param plot_info A list containing the treatment timepoints and
+#' treatment labels. Treatment timepoints and labels can either be
+#' unnamed elements or named lists where each element corresponds
 #' to a different `level`.
-#' @param level A character string. Used to extract the treatment 
+#' @param level A character string. Used to extract the treatment
 #' timepoints and labels when they are stored in named lists.
-#' @param y_pos A numeric value specifying the y-axis position where 
+#' @param y_pos A numeric value specifying the y-axis position where
 #' the text labels should be placed. Defaults to 1.
 #'
 #' @return A list containing:
@@ -3309,68 +3258,60 @@ plot_single_and_mean_splines <- function(
 #' - `treatment_colors`: A named vector of colors used for the treatment labels.
 #'
 #' @importFrom scales hue_pal
-#' 
+#'
 maybe_add_dashed_lines <- function(
     p,
     plot_info,
     level,
-    y_pos = 1
-    ) {
-
+    y_pos = 1) {
   # Initialize an empty vector to store treatment colors
   treatment_colors <- c()
 
   # Check if there are treatment labels
   if (!all(is.na(plot_info$treatment_labels))) {
-    
     # Initialize variables to store treatment_timepoints and treatment_labels
     treatment_timepoints <- NULL
     treatment_labels <- NULL
-    
+
     # Case when there is a single unnamed element in the lists
     if (is.null(names(plot_info$treatment_labels))) {
-      
       # Take the single unnamed element
       treatment_timepoints <- plot_info$treatment_timepoints[[1]]
       treatment_labels <- plot_info$treatment_labels[[1]]
-      
     } else {
-      
       # Check if the key (level) is in the named lists
       if (level %in% names(plot_info$treatment_labels) &&
-          level %in% names(plot_info$treatment_timepoints)) {
-        
+        level %in% names(plot_info$treatment_timepoints)) {
         # Extract the corresponding named elements
         treatment_timepoints <- plot_info$treatment_timepoints[[level]]
         treatment_labels <- plot_info$treatment_labels[[level]]
       }
     }
-    
+
     # If we have valid treatment_timepoints and treatment_labels, add the dashed lines
-    if (!is.null(treatment_timepoints) && 
-        !is.null(treatment_labels) && 
-        all(!is.na(treatment_timepoints)) && 
-        all(!is.na(treatment_labels))) {
-      
+    if (!is.null(treatment_timepoints) &&
+      !is.null(treatment_labels) &&
+      all(!is.na(treatment_timepoints)) &&
+      all(!is.na(treatment_labels))) {
       # Generate colors for the treatment labels
       treatment_colors <- scales::hue_pal()(length(treatment_labels))
       names(treatment_colors) <- treatment_labels
-      
+
       # Call the function to add dashed lines
       p <- add_dashed_lines(
-        p = p, 
-        treatment_timepoints = treatment_timepoints, 
+        p = p,
+        treatment_timepoints = treatment_timepoints,
         treatment_labels = treatment_labels,
         y_pos = y_pos
       )
     }
   }
-  
+
   # Return both the updated plot and the treatment colors
   return(list(
     p = p,
     treatment_colors = treatment_colors
-    ))
+  ))
 }
 
 
@@ -3380,44 +3321,41 @@ maybe_add_dashed_lines <- function(
 #' Add dashed lines for treatment timepoints to a plot
 #'
 #' @description
-#' This internal function adds dashed vertical lines at specified 
-#' treatment timepoints to a plot, along with text labels that 
+#' This internal function adds dashed vertical lines at specified
+#' treatment timepoints to a plot, along with text labels that
 #' display the corresponding x-axis values.
 #'
-#' @param p A ggplot object. The plot to which dashed lines and labels 
+#' @param p A ggplot object. The plot to which dashed lines and labels
 #' will be added.
-#' @param treatment_timepoints A numeric vector of timepoints where 
+#' @param treatment_timepoints A numeric vector of timepoints where
 #' dashed lines should be drawn.
-#' @param treatment_labels A character vector of labels corresponding 
-#' to each treatment timepoint. These labels are used for coloring 
+#' @param treatment_labels A character vector of labels corresponding
+#' to each treatment timepoint. These labels are used for coloring
 #' the lines, but the x-axis coordinates are displayed as the labels.
-#' @param y_pos A numeric value specifying the y-axis position where 
+#' @param y_pos A numeric value specifying the y-axis position where
 #' the text labels should be placed.
 #'
 #' @return A ggplot object with added dashed lines and labels.
 #'
 #' @importFrom ggplot2 geom_vline geom_text aes
 #' @importFrom scales hue_pal
-#' 
+#'
 add_dashed_lines <- function(
-    p, 
-   treatment_timepoints, 
-   treatment_labels,
-   y_pos 
-   ) {
-  
+    p,
+    treatment_timepoints,
+    treatment_labels,
+    y_pos) {
   # Check if treatment labels and timepoints are valid
-  if (!is.null(treatment_timepoints) && 
-      !is.null(treatment_labels) && 
-      all(!is.na(treatment_timepoints)) && 
-      all(!is.na(treatment_labels))) {
-    
+  if (!is.null(treatment_timepoints) &&
+    !is.null(treatment_labels) &&
+    all(!is.na(treatment_timepoints)) &&
+    all(!is.na(treatment_labels))) {
     # Create a data frame for the treatment lines
     treatment_df <- data.frame(
       Time = treatment_timepoints,
       Label = treatment_labels
     )
-    
+
     # Generate distinct colors for the treatment labels
     treatment_colors <- scales::hue_pal()(length(treatment_labels))
     names(treatment_colors) <- treatment_labels
@@ -3436,18 +3374,18 @@ add_dashed_lines <- function(
       ggplot2::geom_text(
         data = treatment_df,
         ggplot2::aes(
-          x = Time - max(Time) * 0.005,  # Slight offset from the vertical line
-          y = y_pos, 
+          x = Time - max(Time) * 0.005, # Slight offset from the vertical line
+          y = y_pos,
           label = round(Time, 2),
           color = Label
         ),
-        angle = 90,  # Rotate the labels
+        angle = 90, # Rotate the labels
         vjust = 0,
         hjust = 1,
-        size = 3,  # Text size
-        show.legend = FALSE  # Prevent text labels from appearing in the legend
-      ) 
+        size = 3, # Text size
+        show.legend = FALSE # Prevent text labels from appearing in the legend
+      )
   }
-  
-  return(p)  # Return the updated plot object
+
+  return(p) # Return the updated plot object
 }
diff --git a/R/create_limma_report.R b/R/create_limma_report.R
index 898fc64..17fe6fa 100755
--- a/R/create_limma_report.R
+++ b/R/create_limma_report.R
@@ -1,6 +1,6 @@
-# The function create_limma_report() takes the top_tables of the three different 
-# categories (within level time diff, between level average diff, and 
-# between level average and time diff) and makes histogram and vulcano plots 
+# The function create_limma_report() takes the top_tables of the three different
+# categories (within level time diff, between level average diff, and
+# between level average and time diff) and makes histogram and vulcano plots
 # and places them into a nice HTML report.
 
 
@@ -11,13 +11,13 @@
 #' Create a limma report
 #'
 #' @description
-#' Generates an HTML report based on the results of a limma analysis with 
-#' splines. 
-#' The report includes various plots and sections summarizing the analysis 
-#' results for time effects, average differences between conditions, 
+#' Generates an HTML report based on the results of a limma analysis with
+#' splines.
+#' The report includes various plots and sections summarizing the analysis
+#' results for time effects, average differences between conditions,
 #' and interaction effects between condition and time.
 #'
-#' @param splineomics An S3 object of class `SplineOmics` that contains all the 
+#' @param splineomics An S3 object of class `SplineOmics` that contains all the
 #' necessary data and parameters for the analysis, including:
 #' \itemize{
 #'   \item \code{limma_splines_result}: A list containing top tables from
@@ -25,142 +25,139 @@
 #'   \item \code{meta}: A data frame with sample metadata. Must contain a column
 #'                      "Time".
 #'   \item \code{condition}: A character string specifying the column name in
-#'                          the metadata (\code{meta}) that defines groups 
+#'                          the metadata (\code{meta}) that defines groups
 #'                          for analysis. This column contains levels such as
-#'                           "exponential" and "stationary" for phases, or 
+#'                           "exponential" and "stationary" for phases, or
 #'                           "drug" and "no_drug" for treatments.
-#'   \item \code{annotation}: A data frame containing feature information, 
-#'                            such as gene and protein names, associated with 
+#'   \item \code{annotation}: A data frame containing feature information,
+#'                            such as gene and protein names, associated with
 #'                            the expression data.
-#'   \item \code{report_info}: A list containing metadata about the analysis 
+#'   \item \code{report_info}: A list containing metadata about the analysis
 #'                             for reporting purposes.
 #' }
-#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold 
+#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold
 #' for significance. Default is 0.05. Must be > 0 and < 1.
-#' @param report_dir A string specifying the directory where the report should 
+#' @param report_dir A string specifying the directory where the report should
 #' be saved. Default is the current working directory.
 #'
 #' @return A list of plots included in the generated HTML report.
 #'
 #' @importFrom here here
-#' 
+#'
 #' @export
-#' 
+#'
 create_limma_report <- function(
     splineomics,
     adj_pthresh = 0.05,
-    report_dir = here::here()
-    ) {
-  
+    report_dir = here::here()) {
   report_dir <- normalizePath(
     report_dir,
     mustWork = FALSE
   )
-  
+
   check_splineomics_elements(
     splineomics = splineomics,
     func_type = "create_limma_report"
   )
-  
+
   # Control the function arguments
   args <- lapply(as.list(match.call()[-1]), eval, parent.frame())
   check_null_elements(args)
   input_control <- InputControl$new(args)
   input_control$auto_validate()
-  
+
   limma_splines_result <- splineomics[["limma_splines_result"]]
   meta <- splineomics[["meta"]]
   condition <- splineomics[["condition"]]
   annotation <- splineomics[["annotation"]]
   report_info <- splineomics[["report_info"]]
-  
+
   # Get the top_tables of the three limma analysis categories
   time_effect <- limma_splines_result$time_effect
   avrg_diff_conditions <- limma_splines_result$avrg_diff_conditions
   interaction_condition_time <- limma_splines_result$interaction_condition_time
-  
+
   plots <- list()
   plots_sizes <- list()
   section_headers_info <- list()
 
-  
+
   result <- generate_time_effect_plots(
     time_effect,
     adj_pthresh
-    )
-  
+  )
+
   plots <- c(
     plots,
     result$plots
-    )
+  )
   plots_sizes <- c(
     plots_sizes,
     result$plots_sizes
-    )
+  )
   section_headers_info <- c(
     section_headers_info,
     result$section_headers_info
-    )
+  )
+
 
-  
   # length == 0 when there was just one level or no interaction effect
   if (length(avrg_diff_conditions) > 0) {
-    
     result <- generate_avrg_diff_plots(
       avrg_diff_conditions,
       adj_pthresh
-      )
-    
+    )
+
     plots <- c(
       plots,
       result$plots
-      )
+    )
     plots_sizes <- c(
       plots_sizes,
       result$plots_sizes
-      )
+    )
     section_headers_info <- c(
       section_headers_info,
       result$section_headers_info
-      )
+    )
   }
 
   # length == 0 when there was just one level or no interaction effect
   if (length(interaction_condition_time) > 0) {
-    
     result <- generate_interaction_plots(
       interaction_condition_time,
       adj_pthresh
-      )
-    
+    )
+
     plots <- c(
       plots,
       result$plots
-      )
+    )
     plots_sizes <- c(
       plots_sizes,
       result$plots_sizes
-      )
+    )
     section_headers_info <- c(
       section_headers_info,
       result$section_headers_info
-      )
+    )
   }
-  
+
   all_top_tables <- c(
     time_effect,
     avrg_diff_conditions,
     interaction_condition_time
-    )
-  
+  )
+
   unique_values <- unique(meta[[condition]])
-  new_names <- sapply(
+  new_names <- vapply(
     names(all_top_tables),
     shorten_names,
-    unique_values = unique_values
-    )
+    unique_values = unique_values,
+    FUN.VALUE = character(1)
+  )
   names(all_top_tables) <- new_names
-  
+
   if (!is.null(annotation)) {
     # Add annotation info into the top_tables
     for (index in seq_along(all_top_tables)) {
@@ -172,16 +169,16 @@ create_limma_report <- function(
   }
 
   generate_report_html(
-    plots, 
-    plots_sizes, 
+    plots,
+    plots_sizes,
     report_info,
     topTables = all_top_tables,
     level_headers_info = section_headers_info,
     report_type = "create_limma_report",
     filename = "create_limma_report",
     report_dir = report_dir
-    )
-  
+  )
+
   print_info_message(
     message_prefix = "Limma report generation",
     report_dir = report_dir
@@ -198,182 +195,174 @@ create_limma_report <- function(
 #' Generate Plots for Time Effect
 #'
 #' @description
-#' Creates p-value histograms for each time effect in the LIMMA analysis. This 
+#' Creates p-value histograms for each time effect in the LIMMA analysis. This
 #' function is used internally in the `create_limma_report` function.
 #'
-#' @param time_effect A list of top tables from the LIMMA analysis representing 
+#' @param time_effect A list of top tables from the LIMMA analysis representing
 #' the time effects.
-#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold 
+#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold
 #' for significance.
 #'
-#' @return A list containing the plots and their sizes, as well as the 
+#' @return A list containing the plots and their sizes, as well as the
 #' section header information.
 #'
 generate_time_effect_plots <- function(
     time_effect,
-    adj_pthresh
-    ) {
-  
+    adj_pthresh) {
   plots <- list("Time Effect")
   plots_sizes <- c(999)
-  
+
   header_info <- list(header_name = "Time Effect")
   section_headers_info <- list(header_info)
-  
+
   for (i in seq_along(time_effect)) {
     element_name <- names(time_effect)[i]
     top_table <- time_effect[[i]]
-    
+
     title <- paste("P-Value Histogram:", element_name)
-    
+
     p_value_hist <- create_p_value_histogram(
       top_table = top_table,
       title = title
-      )
-    
+    )
+
     plots <- c(
       plots,
       list(p_value_hist)
-      )
+    )
     plots_sizes <- c(plots_sizes, 1)
   }
-  
+
   list(
-    plots = plots, 
-    plots_sizes = plots_sizes, 
+    plots = plots,
+    plots_sizes = plots_sizes,
     section_headers_info = section_headers_info
-    )
+  )
 }
 
 
 #' Generate Plots for Average Difference Conditions
 #'
 #' @description
-#' Creates p-value histograms and volcano plots for each condition in the 
-#' average difference conditions. This function is used internally in the 
+#' Creates p-value histograms and volcano plots for each condition in the
+#' average difference conditions. This function is used internally in the
 #' `create_limma_report` function.
 #'
-#' @param avrg_diff_conditions A list of top tables from the LIMMA analysis 
+#' @param avrg_diff_conditions A list of top tables from the LIMMA analysis
 #' representing the average difference between conditions.
-#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold 
+#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold
 #' for significance.
 #'
-#' @return A list containing the plots and their sizes, as well as the 
+#' @return A list containing the plots and their sizes, as well as the
 #' section header information.
 #'
 generate_avrg_diff_plots <- function(
     avrg_diff_conditions,
-    adj_pthresh
-    ) {
-  
+    adj_pthresh) {
   plots <- list("Average Difference Conditions")
   plots_sizes <- c(999)
-  
+
   header_info <- list(header_name = "Average Difference Conditions")
   section_headers_info <- list(header_info)
-  
+
   for (i in seq_along(avrg_diff_conditions)) {
     element_name <- names(avrg_diff_conditions)[i]
     top_table <- avrg_diff_conditions[[i]]
-    
+
     comparison <- remove_prefix(element_name, "avrg_diff_")
     title <- paste("P-Value Histogram:", comparison)
-    
+
     p_value_hist <- create_p_value_histogram(
       top_table = top_table,
       title = title
-      )
-    
+    )
+
     compared_levels <- strsplit(comparison, "_vs_")[[1]]
-    
+
     volcano_plot <- create_volcano_plot(
       top_table = top_table,
       adj_pthresh = adj_pthresh,
       compared_levels
-      )
-    
+    )
+
     plots <- c(plots, list(p_value_hist), list(volcano_plot))
     plots_sizes <- c(plots_sizes, 1, 1.5)
   }
-  
+
   list(
-    plots = plots, 
-    plots_sizes = plots_sizes, 
+    plots = plots,
+    plots_sizes = plots_sizes,
     section_headers_info = section_headers_info
-    )
+  )
 }
 
 
 #' Generate Plots for Interaction of Condition and Time
 #'
 #' @description
-#' Creates p-value histograms for each interaction condition in the 
-#' interaction of condition and time. This function is used internally in the 
+#' Creates p-value histograms for each interaction condition in the
+#' interaction of condition and time. This function is used internally in the
 #' `create_limma_report` function.
 #'
-#' @param interaction_condition_time A list of top tables from the LIMMA 
-#' analysis 
+#' @param interaction_condition_time A list of top tables from the LIMMA
+#' analysis
 #' representing the interaction effects between condition and time.
-#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold 
+#' @param adj_pthresh A numeric value specifying the adjusted p-value threshold
 #' for significance.
 #'
-#' @return A list containing the plots and their sizes, as well as the 
+#' @return A list containing the plots and their sizes, as well as the
 #' section header information.
 #'
 generate_interaction_plots <- function(
     interaction_condition_time,
-    adj_pthresh
-    ) {
-  
+    adj_pthresh) {
   plots <- list("Interaction of Condition and Time")
   plots_sizes <- c(999)
-  
+
   header_info <- list(header_name = "Interaction of Condition and Time")
   section_headers_info <- list(header_info)
-  
+
   for (i in seq_along(interaction_condition_time)) {
     element_name <- names(interaction_condition_time)[i]
     title <- paste(element_name, ": Adj. p-value vs. F-statistic")
     top_table <- interaction_condition_time[[i]]
-    
+
     comparison <- remove_prefix(element_name, "time_interaction_")
     title <- paste("P-Value Histogram:", comparison)
-    
+
     p_value_hist <- create_p_value_histogram(
       top_table = top_table,
       title = title
-      )
-    
+    )
+
     plots <- c(plots, list(p_value_hist))
     plots_sizes <- c(plots_sizes, 1)
   }
-  
+
   list(
-    plots = plots, 
-    plots_sizes = plots_sizes, 
+    plots = plots,
+    plots_sizes = plots_sizes,
     section_headers_info = section_headers_info
-    )
+  )
 }
 
 
 #' Shorten Names
 #'
 #' @description
-#' Replaces occurrences of unique values within a name with their first three 
-#' characters. This function is useful for abbreviating long condition names 
+#' Replaces occurrences of unique values within a name with their first three
+#' characters. This function is useful for abbreviating long condition names
 #' in a dataset.
 #'
 #' @param name A string representing the name to be shortened.
-#' @param unique_values A vector of unique values whose abbreviations will 
+#' @param unique_values A vector of unique values whose abbreviations will
 #' replace their occurrences in the name.
 #'
 #' @return A string with the unique values replaced by their abbreviations.
 #'
 shorten_names <- function(
     name,
-    unique_values
-    ) {
-  
+    unique_values) {
   for (val in unique_values) {
     short_val <- substr(val, 1, 3)
     name <- gsub(val, short_val, name, fixed = TRUE)
@@ -385,7 +374,7 @@ shorten_names <- function(
 #' Build Cluster Hits Report
 #'
 #' @description
-#' Generates an HTML report for clustered hits, including plots and 
+#' Generates an HTML report for clustered hits, including plots and
 #' spline parameter details, with a table of contents.
 #'
 #' @param header_section A character string containing the HTML header section.
@@ -394,90 +383,86 @@ shorten_names <- function(
 #' @param level_headers_info A list of header information for each level.
 #' @param report_info A named list containg the report info fields. Here used
 #'                    for the email hotkey functionality.
-#' @param output_file_path A character string specifying the path to save the 
+#' @param output_file_path A character string specifying the path to save the
 #'                         HTML report.
 #'
 #' @return No return value, called for side effects.
 #'
 #' @seealso
 #' \code{\link{plot2base64}}, \code{\link{create_progress_bar}}
-#' 
+#'
 build_create_limma_report <- function(
-    header_section, 
-    plots, 
-    plots_sizes, 
+    header_section,
+    plots,
+    plots_sizes,
     level_headers_info,
     report_info,
-    output_file_path = here::here()
-    ) {  
-  
+    output_file_path = here::here()) {
   # Read the text file and split it into blocks
   descriptions_path <- system.file(
     "descriptions",
     "create_limma_report_html_plot_descriptions.txt",
     package = "SplineOmics"
-    )
+  )
   text_blocks <- readLines(descriptions_path)
   text_blocks <- split(
     text_blocks,
     cumsum(text_blocks == "")
-    ) # Split by empty lines
-  
+  ) # Split by empty lines
+
   # Remove empty elements created by split
   text_blocks <- Filter(function(x) length(x) > 0, text_blocks)
-  
-  
+
+
   html_content <- paste(
     header_section,
     "<!--TOC-->",
     sep = "\n"
-    )
-  
+  )
+
   toc <- create_toc()
-  
+
   styles <- define_html_styles()
   section_header_style <- styles$section_header_style
   toc_style <- styles$toc_style
-  
+
   current_header_index <- 1
   level_headers_info <- Filter(Negate(is.null), level_headers_info)
-  
+
   pb <- create_progress_bar(plots)
   # Generate the sections and plots
   for (index in seq_along(plots)) {
-    
     if (current_header_index <= length(level_headers_info)) {
       header_info <- level_headers_info[[current_header_index]]
 
       # means jump to next section
-      if (any(class(plots[[index]]) == "character")) {  
-        
+      if (any(is(plots[[index]], "character"))) {
         section_header <- sprintf(
-          "<h2 style='%s' id='section%d'>%s</h2>", 
-          section_header_style, 
-          index, 
+          "<h2 style='%s' id='section%d'>%s</h2>",
+          section_header_style,
+          index,
           header_info$header_name
-          )
-        
+        )
+
         html_content <- paste(
           html_content,
-          section_header, 
+          section_header,
           sep = "\n"
-          )
-        
+        )
+
         # Add text block after the main headers.
         if (current_header_index <= length(text_blocks)) {
           # Convert text block to a single string with HTML paragraph format
           text_block_html <- paste(
-            "<p style='font-size: 200%;'>", 
+            "<p style='font-size: 200%;'>",
             paste(
               text_blocks[[current_header_index]],
               collapse = " "
-              ),
+            ),
             "</p>",
             sep = ""
-            )
-          
+          )
+
           html_content <- paste(
             html_content,
             text_block_html,
@@ -486,33 +471,33 @@ build_create_limma_report <- function(
         }
 
         hits_info <- sprintf(
-            "<p style='text-align: center; font-size: 30px;'>"
+          "<p style='text-align: center; font-size: 30px;'>"
         )
-        
+
         html_content <- paste(
           html_content,
           hits_info,
           sep = "\n"
-          )
-        
+        )
+
         toc_entry <- sprintf(
-          "<li style='%s'><a href='#section%d'>%s</a></li>", 
+          "<li style='%s'><a href='#section%d'>%s</a></li>",
           toc_style,
           index,
           header_info[[1]]
-          )
-        
+        )
+
         toc <- paste(
           toc,
           toc_entry,
           sep = "\n"
-          )
-        
+        )
+
         current_header_index <- current_header_index + 1
-        
+
         pb$tick()
         next
-      } 
+      }
     }
 
     result <- process_plots(
@@ -524,10 +509,10 @@ build_create_limma_report <- function(
     )
     html_content <- result$html_content
     toc <- result$toc
-    
+
     pb$tick()
   }
-  
+
   generate_and_write_html(
     toc = toc,
     html_content = html_content,
@@ -558,9 +543,7 @@ build_create_limma_report <- function(
 #'
 create_p_value_histogram <- function(
     top_table,
-    title = "P-Value Histogram"
-) {
-
+    title = "P-Value Histogram") {
   # Check if the top_table has a P.Value column
   if (!"P.Value" %in% colnames(top_table)) {
     stop("The top_table must contain a column named 'P.Value'.")
@@ -591,110 +574,108 @@ create_p_value_histogram <- function(
 #' Create a Volcano Plot
 #'
 #' @description
-#' This function creates a volcano plot from a limma top table, plotting 
+#' This function creates a volcano plot from a limma top table, plotting
 #' log fold changes against the negative log10 of adjusted p-values.
 #'
-#' @param top_table A data frame from limma containing 'logFC' and 'adj.P.Val' 
+#' @param top_table A data frame from limma containing 'logFC' and 'adj.P.Val'
 #' columns.
 #' @param adj_pthresh A numeric value for the adjusted p-value threshold.
-#' @param compared_levels A character vector of length 2 specifying the 
+#' @param compared_levels A character vector of length 2 specifying the
 #' compared levels.
 #'
 #' @return A ggplot object representing the volcano plot.
 #'
-#' @importFrom ggplot2 ggplot aes geom_point theme_minimal labs geom_hline 
+#' @importFrom ggplot2 ggplot aes geom_point theme_minimal labs geom_hline
 #'                     annotate scale_color_manual
 #' @importFrom rlang .data
-#' 
+#'
 create_volcano_plot <- function(
-    top_table, 
-    adj_pthresh, 
-    compared_levels
-) {
-  
+    top_table,
+    adj_pthresh,
+    compared_levels) {
   logFC <- NULL
   adj.P.Val <- NULL
-  
+
   top_table <- top_table |>
     dplyr::mutate(
       Regulation = ifelse(
-        logFC > 0, 
-        compared_levels[2], 
+        logFC > 0,
+        compared_levels[2],
         compared_levels[1]
       ),
       Alpha = ifelse(
-        adj.P.Val < adj_pthresh, 
-        1, 
+        adj.P.Val < adj_pthresh,
+        1,
         0.5
       )
     )
-  
+
   # Create a named vector for the colors
   colors <- c("blue", "darkgrey") |>
     setNames(c(
       compared_levels[2],
       compared_levels[1]
     ))
-  
+
   # Calculate the number of hits
   num_hits <- sum(top_table$adj.P.Val < adj_pthresh)
   total_tests <- nrow(top_table)
   percent_hits <- (num_hits / total_tests) * 100
-  
+
   volcano_plot <- ggplot2::ggplot(
     data = top_table,
     mapping = ggplot2::aes(
-      x = logFC, 
-      y = -log10(adj.P.Val), 
+      x = logFC,
+      y = -log10(adj.P.Val),
       color = .data$Regulation,
       alpha = .data$Alpha
     )
   ) +
     # Add a shaded region below the adjusted p-value threshold
     ggplot2::annotate(
-      "rect", 
-      xmin = -Inf, 
-      xmax = Inf, 
-      ymin = 0, 
-      ymax = -log10(adj_pthresh), 
-      fill = "gray90"  # Light gray color for visual distinction
+      "rect",
+      xmin = -Inf,
+      xmax = Inf,
+      ymin = 0,
+      ymax = -log10(adj_pthresh),
+      fill = "gray90" # Light gray color for visual distinction
     ) +
     ggplot2::geom_point() +
     ggplot2::theme_minimal() +
     ggplot2::labs(
       title = paste(
-        "Volcano Plot:", 
-        compared_levels[1], 
-        "vs", 
+        "Volcano Plot:",
+        compared_levels[1],
+        "vs",
         compared_levels[2]
       ),
       x = paste(
-        "Log2 Fold Change (", 
-        compared_levels[2], 
-        " / ", 
-        compared_levels[1], 
-        ")", 
+        "Log2 Fold Change (",
+        compared_levels[2],
+        " / ",
+        compared_levels[1],
+        ")",
         sep = ""
       ),
       y = "-Log10 Adjusted P-value"
     ) +
     # Add a dashed red line for the adjusted p-value threshold
     ggplot2::geom_hline(
-      yintercept = -log10(adj_pthresh), 
-      linetype = "dashed", 
+      yintercept = -log10(adj_pthresh),
+      linetype = "dashed",
       color = "red"
     ) +
     # Add a label for the adjusted p-value threshold
     ggplot2::annotate(
-      geom = "text", 
-      x = Inf, 
-      y = -log10(adj_pthresh), 
+      geom = "text",
+      x = Inf,
+      y = -log10(adj_pthresh),
       label = paste(
-        "adj.p-thresh:", 
+        "adj.p-thresh:",
         adj_pthresh
-      ), 
-      hjust = 1.1, 
-      vjust = -1.5, 
+      ),
+      hjust = 1.1,
+      vjust = -1.5,
       color = "red"
     ) +
     ggplot2::scale_color_manual(
@@ -704,49 +685,49 @@ create_volcano_plot <- function(
       range = c(0.5, 1)
     ) +
     ggplot2::annotate(
-      geom = "text", 
-      x = max(top_table$logFC) * 0.8, 
-      y = Inf, 
+      geom = "text",
+      x = max(top_table$logFC) * 0.8,
+      y = Inf,
       label = paste(
-        compared_levels[2], 
+        compared_levels[2],
         "higher"
-      ), 
-      hjust = 1.1, 
-      vjust = 1.1, 
-      color = "blue", 
+      ),
+      hjust = 1.1,
+      vjust = 1.1,
+      color = "blue",
       size = 3
     ) +
     ggplot2::annotate(
-      geom = "text", 
-      x = min(top_table$logFC) * 0.8, 
-      y = Inf, 
+      geom = "text",
+      x = min(top_table$logFC) * 0.8,
+      y = Inf,
       label = paste(
-        compared_levels[1], 
+        compared_levels[1],
         "higher"
-      ), 
-      hjust = -0.1, 
-      vjust = 1.1, 
-      color = "darkgrey", 
+      ),
+      hjust = -0.1,
+      vjust = 1.1,
+      color = "darkgrey",
       size = 3
     ) +
     ggplot2::annotate(
-      geom = "text", 
-      x = 0, 
-      y = Inf, 
+      geom = "text",
+      x = 0,
+      y = Inf,
       label = paste(
-        "Hits:", 
-        num_hits, 
+        "Hits:",
+        num_hits,
         "(", round(percent_hits, 2), "%)"
-      ), 
-      hjust = 0.5, 
-      vjust = 3, 
-      color = "black", 
+      ),
+      hjust = 0.5,
+      vjust = 3,
+      color = "black",
       size = 3
     ) +
     ggplot2::theme(
       legend.position = "none"
     )
-  
+
   return(volcano_plot)
 }
 
@@ -754,7 +735,7 @@ create_volcano_plot <- function(
 #' Remove Prefix from String
 #'
 #' @description
-#' Removes a specified prefix from the beginning of a string. This function 
+#' Removes a specified prefix from the beginning of a string. This function
 #' is useful for cleaning or standardizing strings by removing known prefixes.
 #'
 #' @param string A string from which the prefix should be removed.
@@ -763,10 +744,8 @@ create_volcano_plot <- function(
 #' @return A string with the prefix removed.
 #'
 remove_prefix <- function(
-    string, 
-    prefix
-    ) {
-  
+    string,
+    prefix) {
   pattern <- paste0("^", prefix)
   result <- sub(pattern, "", string)
 }
diff --git a/R/download_enrichr_databases.R b/R/download_enrichr_databases.R
index 99b87f2..7790d38 100755
--- a/R/download_enrichr_databases.R
+++ b/R/download_enrichr_databases.R
@@ -5,10 +5,10 @@
 #'
 #' @description
 #' This function downloads gene sets from specified Enrichr databases and saves
-#'  them to a specified output directory as a .tsv file. The file is named with 
+#'  them to a specified output directory as a .tsv file. The file is named with
 #'  a timestamp to ensure uniqueness.
 #'
-#' @param gene_set_lib A character vector of database names to download from 
+#' @param gene_set_lib A character vector of database names to download from
 #'                     Enrichr.
 #' @param output_dir A character string specifying the output directory
 #'                   where the .tsv file will be saved. Defaults to the current
@@ -17,33 +17,31 @@
 #'                 present in some terms, .tsv is recommendet). When ommited,
 #'                 the file is named all_databases_{timestamp}.tsv.
 #'
-#' @return This function does not return a value but saves a .tsv file in the 
-#'         specified directory containing the gene sets from the specified 
+#' @return This function does not return a value but saves a .tsv file in the
+#'         specified directory containing the gene sets from the specified
 #'         Enrichr databases.
 #'
 #' @importFrom here here
 #' @importFrom rlang .data
-#' 
+#'
 #' @export
 #'
 download_enrichr_databases <- function(
     gene_set_lib,
     output_dir = here::here(),
-    filename = NULL
-    ) {
-  
+    filename = NULL) {
   # Control the user inputs
   if (!is.character(gene_set_lib) || length(gene_set_lib) == 0) {
     stop_call_false("gene_set_lib must be a character vector with length > 0")
   }
-  
+
   # Control the filename input (must be NULL or a valid string)
-  if (!is.null(filename) 
-      && (!is.character(filename) 
-          || length(filename) != 1)) {
+  if (!is.null(filename) &&
+    (!is.character(filename) ||
+      length(filename) != 1)) {
     stop_call_false("filename must be a single string or NULL.")
   }
-  
+
   # Control the inputs
   args <- lapply(as.list(match.call()[-1]), eval, parent.frame())
   check_null_elements(args)
@@ -51,7 +49,7 @@ download_enrichr_databases <- function(
   input_control$auto_validate()
 
   genesets <- enrichr_get_genesets(databases = gene_set_lib)
-  
+
   genesets <- do.call(rbind, lapply(names(genesets), function(db.nam) {
     do.call(rbind, lapply(names(genesets[[db.nam]]), function(set.nam) {
       tibble::tibble(
@@ -61,16 +59,16 @@ download_enrichr_databases <- function(
       )
     }))
   }))
-  
+
   genesets <- genesets |>
     mutate(Gene = gsub(",.+$", "", .data$Gene))
-  
+
   dir.create(
     output_dir,
     recursive = TRUE,
     showWarnings = FALSE
-    )
-  
+  )
+
   # Create filename if not specified
   if (is.null(filename)) {
     timestamp <- format(
@@ -82,23 +80,23 @@ download_enrichr_databases <- function(
       timestamp, ".tsv"
     )
   }
-  
+
   filename_path <- here::here(
     output_dir,
     filename
-    )
+  )
 
   utils::write.table(
     x = genesets,
     file = filename_path,
-    sep = "\t",  
-    row.names = FALSE,  
-    col.names = TRUE,   
-    quote = FALSE       # Do not quote strings
+    sep = "\t",
+    row.names = FALSE,
+    col.names = TRUE,
+    quote = FALSE # Do not quote strings
   )
-  
+
   message("Download complete! The file has been saved as: ", filename_path)
-  
+
   return(invisible(filename_path))
 }
 
@@ -113,48 +111,46 @@ download_enrichr_databases <- function(
 #' It returns a list where each element is a list corresponding to a database,
 #' with each element containing a vector of human gene symbols for a gene set.
 #'
-#' @param databases A character vector of database names to download from 
+#' @param databases A character vector of database names to download from
 #'                  Enrichr.
 #'
 #' @return A named list of gene sets from the specified Enrichr databases. Each
-#'         database is represented as a list, with gene set names as list 
+#'         database is represented as a list, with gene set names as list
 #'         names and vectors of human gene symbols as list elements.
 #'
 enrichr_get_genesets <- function(databases) {
-  
   pb <- create_progress_bar(
     databases,
     message = "Downloading"
-    )
-  
+  )
+
   setNames(lapply(databases, function(dbx) {
-    
     # Update the progress bar
     pb$tick()
-    
+
     fpath <- paste0(
-      "http://amp.pharm.mssm.edu/Enrichr/geneSetLibrary?", 
+      "http://amp.pharm.mssm.edu/Enrichr/geneSetLibrary?",
       "mode=text&libraryName=",
       dbx
-      )
-    
+    )
+
     fhandle <- file(fpath)
-    dblines <- tryCatch({
-      readLines(con = fhandle)
-    }, error = function(e){
-      message(e, "\nFailed reading database: ", dbx)
-      NULL
-    })
+    dblines <- tryCatch(
+      {
+        readLines(con = fhandle)
+      },
+      error = function(e) {
+        message(e, "\nFailed reading database: ", dbx)
+        NULL
+      }
+    )
     close(fhandle)
-    
+
     if (is.null(dblines)) {
-      
       return(list())
-      
     } else {
-      
       res <- strsplit(dblines, "\t")
-      names(res) <- sapply(res, function(x) x[1])
+      names(res) <- vapply(res, function(x) x[1], character(1))
       res <- lapply(res, function(x) x[3:length(x)])
       return(res)
     }
diff --git a/R/explore_data.R b/R/explore_data.R
index 424c475..b81b4d8 100755
--- a/R/explore_data.R
+++ b/R/explore_data.R
@@ -4,11 +4,11 @@
 #' Generate Exploratory Plots
 #'
 #' @description
-#' This function takes a data matrix, checks its validity, and generates a list 
-#' of exploratory plots including density plots, boxplots, PCA plots, MDS plots, 
+#' This function takes a data matrix, checks its validity, and generates a list
+#' of exploratory plots including density plots, boxplots, PCA plots, MDS plots,
 #' variance explained plots, and violin plots.
 #'
-#' @param splineomics A SplineOmics object, containing the data, meta, 
+#' @param splineomics A SplineOmics object, containing the data, meta,
 #'                    condition, report_info, meta_batch_column, and
 #'                    meta_batch2_column;
 #' @param report_dir A non-empty string specifying the report directory.
@@ -20,30 +20,28 @@
 #' @return A list of ggplot objects representing various exploratory plots.
 #'
 #' @export
-#' 
+#'
 explore_data <- function(
     splineomics,
     report_dir = here::here(),
-    report = TRUE
-    ) {
-  
+    report = TRUE) {
   report_dir <- normalizePath(
     report_dir,
     mustWork = FALSE
   )
-  
+
   check_splineomics_elements(
     splineomics = splineomics,
     func_type = "explore_data"
   )
-  
+
   # Control the function arguments
   args <- lapply(as.list(match.call()[-1]), eval, parent.frame())
   check_null_elements(args)
   input_control <- InputControl$new(args)
   input_control$auto_validate()
-  
-  
+
+
   data <- splineomics[["data"]]
   meta <- splineomics[["meta"]]
   annotation <- splineomics[["annotation"]]
@@ -54,9 +52,8 @@ explore_data <- function(
   meta_batch2_column <- splineomics[["meta_batch2_column"]]
 
   data_list <- list(data = data)
-  
+
   if (!is.null(meta_batch_column)) {
-    
     args <- list(
       x = data,
       batch = meta[[meta_batch_column]],
@@ -68,27 +65,26 @@ explore_data <- function(
     }
 
     batch_corrected_data <- do.call(removeBatchEffect, args)
-    
+
     data_list$batch_corrected_data <- batch_corrected_data
   }
-  
+
   all_plots <- list()
   report_info$meta_condition <- c(condition)
   report_info$meta_batch <- paste(
-    meta_batch_column, 
+    meta_batch_column,
     meta_batch2_column,
     sep = ", "
-    )
-  timestamp = format(Sys.time(), "%d_%m_%Y-%H_%M_%S")
+  )
+  timestamp <- format(Sys.time(), "%d_%m_%Y-%H_%M_%S")
 
   for (data_name in names(data_list)) {
-    
     current_data <- data_list[[data_name]]
     plots_and_plots_sizes <- generate_explore_plots(
-      current_data, 
-      meta, 
+      current_data,
+      meta,
       condition
-      )
+    )
 
     if (report) {
       generate_report_html(
@@ -100,12 +96,12 @@ explore_data <- function(
         filename = paste0("explore_", data_name),
         timestamp = timestamp,
         report_dir = report_dir
-        )
+      )
     }
-    
+
     all_plots[[data_name]] <- plots_and_plots_sizes$plots
   }
-  
+
   print_info_message(
     message_prefix = "Exploratory data analysis",
     report_dir = report_dir
@@ -121,30 +117,28 @@ explore_data <- function(
 #' Generate exploratory plots
 #'
 #' @description
-#' This function generates various exploratory plots including density plots, 
-#' box plots, violin plots, PCA plots, and correlation heatmaps based on the 
+#' This function generates various exploratory plots including density plots,
+#' box plots, violin plots, PCA plots, and correlation heatmaps based on the
 #' provided data and metadata.
 #'
 #' @param data A data frame or matrix containing the data to be plotted.
 #' @param meta A data frame containing metadata associated with the data.
-#' @param condition A string specifying the column in the metadata that contains 
+#' @param condition A string specifying the column in the metadata that contains
 #' the condition or grouping variable.
 #'
 #' @return A list containing two elements:
 #' \describe{
 #'   \item{plots}{A list of ggplot objects representing the generated plots.}
-#'   \item{plots_sizes}{A vector of numeric values indicating the sizes of the 
+#'   \item{plots_sizes}{A vector of numeric values indicating the sizes of the
 #'   corresponding plots.}
 #' }
-#' 
+#'
 generate_explore_plots <- function(
     data,
     meta,
-    condition
-    ) {
-  
+    condition) {
   meta[[condition]] <- as.factor(meta[[condition]])
-  
+
   plot_functions_and_sizes <- list(
     list(func = make_density_plots, size = 1),
     list(func = make_violin_box_plots, size = 1.5),
@@ -156,24 +150,25 @@ generate_explore_plots <- function(
     list(func = plot_first_lag_autocorrelation, size = 1.5),
     list(func = plot_cv, size = 1.5)
   )
-  
+
   apply_plot_function <- function(entry) {
     plot_result <- entry$func(data, meta, condition)
-    list(plots = plot_result, size = entry$size, 
-         flatten = if ("flatten" %in% names(entry)) entry$flatten else TRUE)
+    list(
+      plots = plot_result, size = entry$size,
+      flatten = if ("flatten" %in% names(entry)) entry$flatten else TRUE
+    )
   }
-  
+
   plot_results <- lapply(plot_functions_and_sizes, apply_plot_function)
 
   all_plots <- list()
   all_plots_sizes <- c()
-  
+
   # Flatten the results and sizes conditionally
   for (result in plot_results) {
-    
     all_plots <- c(all_plots, "section_break")
     all_plots_sizes <- c(all_plots_sizes, NA)
-    
+
     if (is.null(result$size)) {
       # Special handling for make_correlation_heatmaps
       all_plots <- c(all_plots, result$plots$heatmaps)
@@ -190,197 +185,192 @@ generate_explore_plots <- function(
         rep(
           result$size,
           length(result$plots)
-          )
         )
+      )
     }
   }
 
   list(
-    plots = all_plots, 
+    plots = all_plots,
     plots_sizes = all_plots_sizes
-    )
+  )
 }
 
 
 #' Build Explore Data Report
 #'
 #' @description
-#' This function generates an HTML report containing a header section, table of 
-#' contents, and a series of plots. Each plot is included in the report with 
+#' This function generates an HTML report containing a header section, table of
+#' contents, and a series of plots. Each plot is included in the report with
 #' specified sizes.
 #'
-#' @param header_section A string containing the HTML content for the header 
+#' @param header_section A string containing the HTML content for the header
 #' section of the report.
-#' @param plots A list of ggplot objects representing the plots to be included 
+#' @param plots A list of ggplot objects representing the plots to be included
 #' in the report.
-#' @param plots_sizes A list of sizes corresponding to each plot, defining the 
+#' @param plots_sizes A list of sizes corresponding to each plot, defining the
 #' dimensions to be used when rendering the plots.
 #' @param report_info A named list containg the report info fields. Here used
 #'                    for the email hotkey functionality.
-#' @param output_file_path A string specifying the file path where the HTML 
+#' @param output_file_path A string specifying the file path where the HTML
 #' report will be saved.
 #'
 #' @importFrom purrr discard
 #'
 #' @return None. This function writes the HTML content to the specified file.
-#' 
+#'
 build_explore_data_report <- function(
-    header_section, 
-    plots, 
-    plots_sizes, 
+    header_section,
+    plots,
+    plots_sizes,
     report_info,
-    output_file_path
-    ) {  
-
+    output_file_path) {
   html_content <- paste(header_section, "<!--TOC-->", sep = "\n")
-  
+
   toc <- create_toc()
-  
+
   styles <- define_html_styles()
   section_header_style <- styles$section_header_style
   toc_style <- styles$toc_style
-  
+
   just_plots <- plots |> purrr::discard(~ is.character(.))
   pb <- create_progress_bar(just_plots)
-  
+
   plot_names <- c(
-    "Density Plots", 
+    "Density Plots",
     "Violin Box Plots",
-    "PCA ", 
+    "PCA ",
     "MDS",
     "Correlation Heatmaps",
     "Mean Time Correlation",
     "Lag1 Differences",
     "First Lag Autocorrelation",
     "Coefficient of Variation"
-    )
-  
+  )
+
   plot_explanations <- get_explore_plots_explanations()
-  
+
   major_headers <- c(
-    "Distribution and Variability Analysis", 
+    "Distribution and Variability Analysis",
     "Dimensionality Reduction and Clustering",
     "Time Series Analysis"
-    )
+  )
 
-  major_header_style <- 
+  major_header_style <-
     "font-size: 6em; font-family: Arial, sans-serif; display: inline-block;"
-  
+
   toc_index <- 0
   toc_index_memory <- toc_index
   major_header_index <- 0
-  
+
   # Generate the sections and plots
   for (index in seq_along(plots)) {
-    
-    if (is.character(plots[[index]])) {    # Section break
-      
+    if (is.character(plots[[index]])) { # Section break
+
       toc_index <- toc_index + 1
-      
-      if (
-        toc_index == 1 ||   # positions of major headers.
-        toc_index == 3 ||
-        toc_index == 6
-        ) {
 
+      if (
+        toc_index == 1 || # positions of major headers.
+          toc_index == 3 ||
+          toc_index == 6
+      ) {
         major_header_index <- major_header_index + 1
-        
+
         section_id <- paste0(
           "section_major_",
           major_header_index
-          )
+        )
         toc <- paste(
-          toc, 
+          toc,
           sprintf(
-            '<li style="%s"><a href="#%s">%s</a></li>', 
-            toc_style, 
+            '<li style="%s"><a href="#%s">%s</a></li>',
+            toc_style,
             section_id,
             major_headers[major_header_index]
-           ), 
+          ),
           sep = "\n"
-          )
-        
-        group_header <- sprintf(
+        )
 
+        group_header <- sprintf(
           '<div style="text-align: center;"><h1 id="%s"
           style="%s">%s</h1></div>',
-          section_id, 
-          major_header_style, 
+          section_id,
+          major_header_style,
           major_headers[major_header_index]
-          )
-        
-        if (toc_index == 3) {  
+        )
+
+        if (toc_index == 3) {
           group_header <- paste(
-            group_header, 
-            '<p style="font-size: 40px;">If you are unsure 
-            which dimensionality reduction plot to consult, 
-            choose PCA.</p>', 
+            group_header,
+            '<p style="font-size: 40px;">If you are unsure
+            which dimensionality reduction plot to consult,
+            choose PCA.</p>',
             sep = "\n"
-            )
+          )
         }
-        
+
         html_content <- paste(
           html_content,
           group_header,
           sep = "\n"
-          )
+        )
       }
       next
     }
-  
-    
+
+
     if (toc_index != toc_index_memory) {
-      
       section_id <- paste0("section_", toc_index)
-      toc <- 
+      toc <-
         paste(
-          toc, 
+          toc,
           sprintf(
             paste0(
               '<li style="margin-left: 20px; font-size: 30px;">',
               '<a href="#%s">%s</a></li>'
-            ), 
+            ),
             section_id,
-            plot_names[toc_index]), 
+            plot_names[toc_index]
+          ),
           sep = "\n"
-          )
-      
+        )
+
       section_header <- sprintf(
-        '<h2 id="%s" style="%s">%s</h2>', 
-        section_id, 
-        section_header_style, 
+        '<h2 id="%s" style="%s">%s</h2>',
+        section_id,
+        section_header_style,
         plot_names[toc_index]
-        )
-      
+      )
+
       plot_description <- sprintf(
         '<p style="font-size: 2em;">%s</p>',
         plot_explanations[toc_index]
-        )
-      
+      )
+
       html_content <- paste(
-        html_content, 
-        section_header, 
-        plot_description, 
+        html_content,
+        section_header,
+        plot_description,
         sep = "\n"
-        )
-      
+      )
+
       toc_index_memory <- toc_index
     }
-    
+
     # Process each plot
     plot <- plots[[index]]
     plot_size <- plots_sizes[[index]]
     img_tag <- plot2base64(plot, plot_size)
-    
+
     html_content <- paste(
       html_content,
       img_tag,
-      "<hr>",  # Add horizontal line after each plot
+      "<hr>", # Add horizontal line after each plot
       sep = "\n"
-      )
+    )
     pb$tick()
   }
-  
+
   generate_and_write_html(
     toc = toc,
     html_content = html_content,
@@ -410,11 +400,9 @@ build_explore_data_report <- function(
 #' @importFrom dplyr everything
 #'
 make_density_plots <- function(
-    data, 
-    meta, 
-    condition
-    ) {
-  
+    data,
+    meta,
+    condition) {
   custom_theme <- ggplot2::theme(
     panel.background = ggplot2::element_rect(fill = "white", color = "white"),
     plot.background = ggplot2::element_rect(fill = "white", color = "white"),
@@ -422,7 +410,7 @@ make_density_plots <- function(
     panel.grid.major.y = ggplot2::element_line(color = "grey"),
     panel.grid.minor = ggplot2::element_blank()
   )
-  
+
   density_plots <- list()
 
   # Melt the data to long format using tidyr
@@ -432,61 +420,60 @@ make_density_plots <- function(
     names_to = "variable",
     values_to = "value"
   )
-  
-  
-  if (length(unique(meta[[condition]])) > 1) {    # Only when > 2 levels
+
+
+  if (length(unique(meta[[condition]])) > 1) { # Only when > 2 levels
     # Create the overall density plot for all data
     overall_plot <- ggplot2::ggplot(
-      data_long, 
+      data_long,
       ggplot2::aes(x = !!rlang::sym("value"))
-      ) +
+    ) +
       ggplot2::geom_density(
         fill = "blue",
         alpha = 0.5
-        ) +
+      ) +
       ggplot2::ggtitle("All Levels") +
       custom_theme
-    
+
     density_plots <- c(
       density_plots,
       list(overall_plot)
-      )
+    )
   }
-  
-  
+
+
   # Create density plots for each level of the condition
   levels <- unique(meta[[condition]])
-  
+
   for (level in levels) {
-    
     # Filter the data for the current level
     indices <- which(meta[[condition]] == level)
-    
+
     data_level <- data[, indices, drop = FALSE]
-    
+
     data_level_long <- tidyr::pivot_longer(
       as.data.frame(data_level),
       cols = everything(),
       names_to = "variable",
       values_to = "value"
     )
-    
+
     # Create the density plot for the current level
     level_plot <- ggplot2::ggplot(
-      data_level_long, 
+      data_level_long,
       ggplot2::aes(x = !!rlang::sym("value"))
-      ) +
+    ) +
       ggplot2::geom_density(fill = "blue", alpha = 0.5) +
-      ggplot2::ggtitle(paste("Level:", level)) + 
+      ggplot2::ggtitle(paste("Level:", level)) +
       custom_theme
-    
+
     # Add the level plot to the list
     density_plots <- c(
       density_plots,
       list(level_plot)
-      )
+    )
   }
-  
+
   return(density_plots)
 }
 
@@ -495,8 +482,8 @@ make_density_plots <- function(
 #' Generate Violin Box Plot
 #'
 #' @description
-#' This function generates a violin plot for a given data matrix. The violin 
-#' plot shows the distribution of the values in the data matrix across different 
+#' This function generates a violin plot for a given data matrix. The violin
+#' plot shows the distribution of the values in the data matrix across different
 #' variables, with each variable's distribution displayed as a separate violin.
 #'
 #' @param data A numeric matrix containing the data.
@@ -504,16 +491,14 @@ make_density_plots <- function(
 #' @param condition The name of the factor column of meta for the experiment
 #'
 #' @return A ggplot object representing the violin plot.
-#' 
+#'
 #' @importFrom ggplot2 ggplot aes geom_violin theme labs
 #' @importFrom grid unit
-#' 
+#'
 make_violin_box_plots <- function(
     data,
     meta,
-    condition
-    ) {
-  
+    condition) {
   custom_theme <- ggplot2::theme(
     panel.background = ggplot2::element_rect(fill = "white", color = "white"),
     plot.background = ggplot2::element_rect(fill = "white", color = "white"),
@@ -521,44 +506,55 @@ make_violin_box_plots <- function(
     panel.grid.major.y = ggplot2::element_line(color = "grey"),
     panel.grid.minor = ggplot2::element_blank()
   )
-  
+
   plots <- list()
-  
+
   # Create plots for each level of the condition
   levels <- unique(meta[[condition]])
-  
+
   for (level in levels) {
-    
     # Filter the data for the current level
     indices <- which(meta[[condition]] == level)
-    
+
     data_level <- data[, indices, drop = FALSE]
-    
+
     data_level_long <- tidyr::pivot_longer(
       as.data.frame(data_level),
       cols = everything(),
       names_to = "variable",
       values_to = "value"
     )
-    
+
     # Create the violin plot with boxplot overlay for the current level
-    level_plot <- ggplot2::ggplot(data_level_long, 
-                                  ggplot2::aes(x = !!rlang::sym("variable"),
-                                               y = !!rlang::sym("value"))) +
+    level_plot <- ggplot2::ggplot(
+      data_level_long,
+      ggplot2::aes(
+        x = !!rlang::sym("variable"),
+        y = !!rlang::sym("value")
+      )
+    ) +
       ggplot2::geom_violin(trim = FALSE, fill = "#77DD77", color = "black") +
-      ggplot2::geom_boxplot(width = 0.1, fill = "white", 
-                            color = "black", outlier.shape = NA) +
-      ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 60, hjust = 1,
-                                                         size = 6),
-                     plot.margin = grid::unit(c(0, 0, 0, 0), "cm")) +
-      ggplot2::labs(x = "Timepoint", y = "Value", 
-                    title = paste("Level:", level)) +
+      ggplot2::geom_boxplot(
+        width = 0.1, fill = "white",
+        color = "black", outlier.shape = NA
+      ) +
+      ggplot2::theme(
+        axis.text.x = ggplot2::element_text(
+          angle = 60, hjust = 1,
+          size = 6
+        ),
+        plot.margin = grid::unit(c(0, 0, 0, 0), "cm")
+      ) +
+      ggplot2::labs(
+        x = "Timepoint", y = "Value",
+        title = paste("Level:", level)
+      ) +
       custom_theme
-    
+
     # Add the level plot to the list
     plots <- c(plots, list(level_plot))
   }
-  
+
   return(plots)
 }
 
@@ -566,65 +562,67 @@ make_violin_box_plots <- function(
 #' Mean Correlation with Time Plot
 #'
 #' @description
-#' This function takes a data frame with time series data 
-#' (rows as features and columns as samples) 
-#' and a meta table with sample information including time points, computes 
-#' the correlation of each 
+#' This function takes a data frame with time series data
+#' (rows as features and columns as samples)
+#' and a meta table with sample information including time points, computes
+#' the correlation of each
 #' feature with time, and plots the distribution of these correlations.
 #'
 #' @param data A data frame where rows are features and columns are samples.
 #' @param meta A data frame with sample metadata. Must contain a column "Time".
-#' @param condition The column of the meta dataframe containign the levels that 
+#' @param condition The column of the meta dataframe containign the levels that
 #'                  separate the experiment.
 #'
 #' @return A ggplot2 object showing the distribution of mean correlations
 #'  with time.
-#'  
+#'
 #'  @importFrom rlang .data
-#'  
+#'
 plot_mean_correlation_with_time <- function(
     data,
     meta,
-    condition
-    ) {
-
+    condition) {
   plot_list <- list()
-  
+
   # Loop through each level of the condition
   for (cond in unique(meta[[condition]])) {
     # Subset the data and meta for the current condition
     condition_indices <- which(meta[[condition]] == cond)
     data_subset <- data[, condition_indices]
     time_subset <- meta$Time[condition_indices]
-    
+
     # Compute correlation of each feature with time
     correlations <- apply(data_subset, 1, function(feature) {
       cor(feature, time_subset, use = "complete.obs")
     })
-    
+
     # Create a data frame for plotting, ensuring row names are set
     if (is.null(rownames(data))) {
       rownames(data) <- paste0("Feature", 1:nrow(data))
     }
-    
+
     cor_data <- data.frame(
       Feature = rownames(data),
       Correlation = correlations
-      )
-    
+    )
+
     # Generate the plot
     p <- ggplot2::ggplot(cor_data, aes(x = .data$Correlation)) +
-      ggplot2::geom_histogram(binwidth = 0.05, fill = "#bcbd22", 
-                              color = "black") +
+      ggplot2::geom_histogram(
+        binwidth = 0.05, fill = "#bcbd22",
+        color = "black"
+      ) +
       ggplot2::theme_minimal() +
-      ggplot2::labs(title = paste("Level:", cond),
-           x = "Correlation with Time",
-           y = "Count of Features")
-    
+      ggplot2::labs(
+        title = paste("Level:", cond),
+        x = "Correlation with Time",
+        y = "Count of Features"
+      )
+
     # Add the plot to the list
     plot_list[[cond]] <- p
   }
-  
+
   return(plot_list)
 }
 
@@ -632,42 +630,40 @@ plot_mean_correlation_with_time <- function(
 #' First Lag Autocorrelation Coefficients Plot
 #'
 #' @description
-#' This function takes a data frame with time series data 
+#' This function takes a data frame with time series data
 #' (rows as features and columns as samples),
-#' a meta table with sample information including time points and conditions, 
+#' a meta table with sample information including time points and conditions,
 #' computes the first lag
-#' autocorrelation for each feature for each condition level, and plots the 
+#' autocorrelation for each feature for each condition level, and plots the
 #' distribution of these
 #' autocorrelation coefficients.
 #'
 #' @param data A data frame where rows are features and columns are samples.
-#' @param meta A data frame with sample metadata. Must contain a column "Time" 
+#' @param meta A data frame with sample metadata. Must contain a column "Time"
 #' and the condition column.
-#' @param condition The name of the column in the meta table that contains the 
+#' @param condition The name of the column in the meta table that contains the
 #' condition information.
 #'
-#' @return A list of ggplot2 objects, each showing the distribution of first 
+#' @return A list of ggplot2 objects, each showing the distribution of first
 #' lag autocorrelation coefficients for one condition.
-#' 
+#'
 #' @importFrom stats acf
 #' @importFrom rlang .data
 #'
 plot_first_lag_autocorrelation <- function(
     data,
-    meta, 
-    condition
-    ) {
-  
+    meta,
+    condition) {
   # Initialize a list to store the plots
   plot_list <- list()
-  
+
   # Loop through each level of the condition
   for (cond in unique(meta[[condition]])) {
     # Subset the data and meta for the current condition
     condition_indices <- which(meta[[condition]] == cond)
     data_subset <- data[, condition_indices]
     # time_subset <- meta$Time[condition_indices]
-    
+
     # Compute first lag autocorrelation of each feature
     autocorrelations <- apply(data_subset, 1, function(feature) {
       # Compute first lag difference
@@ -675,39 +671,45 @@ plot_first_lag_autocorrelation <- function(
       # Compute autocorrelation
       stats::acf(lag_diff, plot = FALSE)$acf[2]
     })
-    
+
     # Calculate mean and standard deviation of autocorrelations
     mean_autocorrelation <- mean(autocorrelations, na.rm = TRUE)
     std_autocorrelation <- sd(autocorrelations, na.rm = TRUE)
-    
+
     # Create a data frame for plotting
     cor_data <- data.frame(
       Feature = 1:nrow(data),
       Autocorrelation = autocorrelations
-      )
-    
+    )
+
     # Generate the plot
     p <- ggplot2::ggplot(cor_data, aes(x = .data$Autocorrelation)) +
-      ggplot2::geom_histogram(binwidth = 0.05, fill = "#9467bd",
-                              color = "black") +
+      ggplot2::geom_histogram(
+        binwidth = 0.05, fill = "#9467bd",
+        color = "black"
+      ) +
       ggplot2::theme_minimal() +
       ggplot2::theme(
-        plot.title = element_text(size = 13),         # Title text size
-        axis.title.x = element_text(size = 10),       # X-axis title text size
-        axis.title.y = element_text(size = 10),       # Y-axis title text size
-        axis.text.x = element_text(size = 7),        # X-axis text size
-        axis.text.y = element_text(size = 7)         # Y-axis text size
+        plot.title = element_text(size = 13), # Title text size
+        axis.title.x = element_text(size = 10), # X-axis title text size
+        axis.title.y = element_text(size = 10), # Y-axis title text size
+        axis.text.x = element_text(size = 7), # X-axis text size
+        axis.text.y = element_text(size = 7) # Y-axis text size
       ) +
-      ggplot2::labs(title = paste("Level:", cond),
-           x = "Autocorrelation Coefficient",
-           y = "Count of Features",
-           subtitle = paste("Mean:", round(mean_autocorrelation, 3), 
-                            "SD:", round(std_autocorrelation, 3)))
-    
+      ggplot2::labs(
+        title = paste("Level:", cond),
+        x = "Autocorrelation Coefficient",
+        y = "Count of Features",
+        subtitle = paste(
+          "Mean:", round(mean_autocorrelation, 3),
+          "SD:", round(std_autocorrelation, 3)
+        )
+      )
+
     # Add the plot to the list
     plot_list[[cond]] <- p
   }
-  
+
   return(plot_list)
 }
 
@@ -715,110 +717,110 @@ plot_first_lag_autocorrelation <- function(
 #' Lag-1 Differences Plot
 #'
 #' @description
-#' This function takes a data frame with time series data 
+#' This function takes a data frame with time series data
 #' (rows as features and columns as samples),
-#' a meta table with sample information including time points and conditions, 
+#' a meta table with sample information including time points and conditions,
 #' computes the lag-1
-#' differences for each feature for each condition level, and plots the 
+#' differences for each feature for each condition level, and plots the
 #' distribution of these
 #' differences.
 #'
 #' @param data A data frame where rows are features and columns are samples.
-#' @param meta A data frame with sample metadata. Must contain a column "Time" 
+#' @param meta A data frame with sample metadata. Must contain a column "Time"
 #' and the condition column.
-#' @param condition The name of the column in the meta table that contains the 
+#' @param condition The name of the column in the meta table that contains the
 #' condition information.
 #'
-#' @return A list of ggplot2 objects, each showing the distribution of lag-1 
+#' @return A list of ggplot2 objects, each showing the distribution of lag-1
 #' differences for one condition.
-#' 
+#'
 #' @importFrom stats sd
 #' @importFrom rlang .data
 #'
 plot_lag1_differences <- function(
-    data, 
-    meta, 
-    condition
-    ) {
-  
+    data,
+    meta,
+    condition) {
   plot_list <- list()
-  
+
   # Loop through each level of the condition
   for (cond in unique(meta[[condition]])) {
     # Subset the data and meta for the current condition
     condition_indices <- which(meta[[condition]] == cond)
     data_subset <- data[, condition_indices]
-    
+
     # Compute absolute lag-1 differences of each feature
-    lag1_differences <- t(apply(data_subset, 1, 
-                                function(feature) {
-                                  abs(diff(feature))
-                                }))
-    
+    lag1_differences <- t(apply(
+      data_subset, 1,
+      function(feature) {
+        abs(diff(feature))
+      }
+    ))
+
     # Normalize lag-1 differences by the mean of the feature values
     feature_means <- apply(
       data_subset,
       1,
       mean,
       na.rm = TRUE
-      )
-    
+    )
+
     normalized_lag1_differences <- lag1_differences / feature_means
-    
+
     # Calculate mean and stdev of normalized lag-1 differences for each feature
     mean_lag1_diff <- apply(
       normalized_lag1_differences,
       1,
       mean,
       na.rm = TRUE
-      )
-    
+    )
+
     std_lag1_diff <- apply(
       normalized_lag1_differences,
       1,
       stats::sd,
       na.rm = TRUE
-      )
-    
+    )
+
     # Create a data frame for plotting
     diff_data <- data.frame(
       Feature = 1:nrow(data),
       Mean_Lag1_Difference = mean_lag1_diff,
       Std_Lag1_Difference = std_lag1_diff
     )
-    
+
     # Generate the plot
     p <- ggplot2::ggplot(
       diff_data,
       aes(x = .data$Mean_Lag1_Difference)
-      ) +
+    ) +
       ggplot2::geom_histogram(
         binwidth = 0.005,
         fill = "#ff7f0e",
         color = "black"
-        ) +
+      ) +
       ggplot2::theme_minimal() +
       ggplot2::theme(
-        plot.title = ggplot2::element_text(size = 13),         
-        axis.title.x = ggplot2::element_text(size = 10),       
-        axis.title.y = ggplot2::element_text(size = 10),       
-        axis.text.x = ggplot2::element_text(size = 7),       
-        axis.text.y = ggplot2::element_text(size = 7)        
+        plot.title = ggplot2::element_text(size = 13),
+        axis.title.x = ggplot2::element_text(size = 10),
+        axis.title.y = ggplot2::element_text(size = 10),
+        axis.text.x = ggplot2::element_text(size = 7),
+        axis.text.y = ggplot2::element_text(size = 7)
       ) +
       ggplot2::labs(
         title = paste("Level:", cond),
         x = "Mean Normalized Absolute Lag-1 Difference",
         y = "Count of Features",
         subtitle = paste(
-          "Mean:", 
-          round(mean(mean_lag1_diff, na.rm = TRUE), 3), 
+          "Mean:",
+          round(mean(mean_lag1_diff, na.rm = TRUE), 3),
           "SD:", round(stats::sd(mean_lag1_diff, na.rm = TRUE), 3)
-          )
         )
-    
+      )
+
     plot_list[[cond]] <- p
   }
-  
+
   return(plot_list)
 }
 
@@ -827,63 +829,61 @@ plot_lag1_differences <- function(
 #' Coefficient of Variation (CV) Plot
 #'
 #' @description
-#' This function takes a data frame with time series data 
+#' This function takes a data frame with time series data
 #' (rows as features and columns as samples),
-#' a meta table with sample information including time points and conditions, 
+#' a meta table with sample information including time points and conditions,
 #' computes the coefficient
-#' of variation (CV) for each feature for each condition level, and plots the 
+#' of variation (CV) for each feature for each condition level, and plots the
 #' distribution of these
 #' CVs.
 #'
 #' @param data A data frame where rows are features and columns are samples.
 #' @param meta A data frame with sample metadata. Must contain a column "Time"
 #'  and the condition column.
-#' @param condition The name of the column in the meta table that contains the 
+#' @param condition The name of the column in the meta table that contains the
 #' condition information.
 #'
 #' @return A list of ggplot2 objects, each showing the distribution of CVs for
 #'  one condition.
 #'
 plot_cv <- function(
-    data, 
-    meta, 
-    condition
-    ) {
-  
+    data,
+    meta,
+    condition) {
   plot_list <- list()
-  
+
   for (cond in unique(meta[[condition]])) {
     condition_indices <- which(meta[[condition]] == cond)
     data_subset <- data[, condition_indices]
-    
+
     # Compute CV of each feature
     cvs <- apply(data_subset, 1, function(feature) {
       sd(feature) / mean(feature)
     })
-    
+
     # Calculate mean and standard deviation of CVs
     mean_cv <- mean(cvs, na.rm = TRUE)
     std_cv <- stats::sd(cvs, na.rm = TRUE)
-    
+
     # Create a data frame for plotting
     cv_data <- data.frame(
       Feature = seq_len(nrow(data)),
       CV = cvs
     )
-    
+
     p <- ggplot2::ggplot(cv_data, aes(x = .data$CV)) +
       ggplot2::geom_histogram(
-        binwidth = 0.01, 
+        binwidth = 0.01,
         fill = "#e377c2",
         color = "black"
-        ) +
+      ) +
       ggplot2::theme_minimal() +
       ggplot2::theme(
-        plot.title = element_text(size = 13),         
-        axis.title.x = element_text(size = 10),       
-        axis.title.y = element_text(size = 10),       
-        axis.text.x = element_text(size = 7),        
-        axis.text.y = element_text(size = 7)        
+        plot.title = element_text(size = 13),
+        axis.title.x = element_text(size = 10),
+        axis.title.y = element_text(size = 10),
+        axis.text.x = element_text(size = 7),
+        axis.text.y = element_text(size = 7)
       ) +
       ggplot2::labs(
         title = paste("Level:", cond),
@@ -891,15 +891,15 @@ plot_cv <- function(
         y = "Count of Features",
         subtitle = paste(
           "Mean CV:",
-          round(mean_cv, 3), 
+          round(mean_cv, 3),
           "SD CV:",
           round(std_cv, 3)
-          )
         )
-    
+      )
+
     plot_list[[cond]] <- p
   }
-  
+
   return(plot_list)
 }
 
@@ -916,60 +916,60 @@ plot_cv <- function(
 #' factor levels for coloring the PCA plot.
 #'
 #' @return A ggplot object representing the PCA plot.
-#' 
+#'
 #' @importFrom stats prcomp
 #' @importFrom ggplot2 ggplot geom_point xlim xlab ylab ggtitle theme_minimal
 #' theme
 #' @importFrom ggrepel geom_text_repel
-#' 
+#'
 make_pca_plot <- function(
-    data, 
-    meta, 
-    condition
-) {
-  
+    data,
+    meta,
+    condition) {
   # Perform PCA
   pc <- stats::prcomp(t(data))
   pca_df <- data.frame(PC1 = pc$x[, 1], PC2 = pc$x[, 2])
-  
+
   # Add labels and levels from the metadata
   pca_df$Labels <- colnames(data)
   pca_df$Levels <- meta[[condition]]
-  
+
   # Add time column for alpha transparency
   pca_df$Time <- meta$Time
-  
+
   # Normalize the Time column to a 0-1 range for alpha values
   pca_df$Alpha <- scales::rescale(pca_df$Time, to = c(0.3, 1))
-  
+
   # Calculate the variance explained
   variance_explained <- pc$sdev^2 / sum(pc$sdev^2)
   percent_variance_explained <- round(variance_explained * 100, digits = 1)
-  
+
   # Extend the x-axis range
   x_range <- range(pc$x[, 1])
   extended_x_max <- x_range[2] + (x_range[2] - x_range[1]) * 0.2
-  
+
   # Create the PCA plot
   pca_plot <- ggplot2::ggplot(pca_df, aes(
-    x = !!rlang::sym("PC1"), 
-    y = !!rlang::sym("PC2"), 
+    x = !!rlang::sym("PC1"),
+    y = !!rlang::sym("PC2"),
     color = !!rlang::sym("Levels"),
-    alpha = !!rlang::sym("Alpha"))) +
+    alpha = !!rlang::sym("Alpha")
+  )) +
     ggplot2::geom_point() +
-    ggrepel::geom_text_repel(aes(label = !!rlang::sym("Labels")), 
-                             box.padding = 0.35, 
-                             point.padding = 0.5, 
-                             max.overlaps = Inf,
-                             size = 2) +
+    ggrepel::geom_text_repel(aes(label = !!rlang::sym("Labels")),
+      box.padding = 0.35,
+      point.padding = 0.5,
+      max.overlaps = Inf,
+      size = 2
+    ) +
     ggplot2::xlim(x_range[1], extended_x_max) +
     ggplot2::xlab(paste("PC1 -", percent_variance_explained[1], "% variance")) +
     ggplot2::ylab(paste("PC2 -", percent_variance_explained[2], "% variance")) +
     ggplot2::labs(color = condition) +
-    ggplot2::scale_alpha(range = c(0.3, 1), guide = "none") + # Hide alpha 
+    ggplot2::scale_alpha(range = c(0.3, 1), guide = "none") + # Hide alpha
     ggplot2::theme_minimal() +
     ggplot2::theme(plot.title = element_text(hjust = 0.5))
-  
+
   return(pca_plot)
 }
 
@@ -978,66 +978,64 @@ make_pca_plot <- function(
 #' Generate MDS Plot
 #'
 #' @description
-#' This function generates a multidimensional scaling (MDS) plot for a given 
-#' data matrix. The MDS plot visualizes the similarities or dissimilarities 
+#' This function generates a multidimensional scaling (MDS) plot for a given
+#' data matrix. The MDS plot visualizes the similarities or dissimilarities
 #' between samples in the data matrix.
 #'
 #' @param data A numeric matrix containing the data.
 #' @param meta A dataframe, containign the meta information of data.
-#' @param condition The column of the meta dataframe containign the levels that 
+#' @param condition The column of the meta dataframe containign the levels that
 #'                  separate the experiment.
 #'
 #' @return A ggplot object representing the MDS plot.
-#' 
+#'
 #' @importFrom limma plotMDS
 #' @importFrom ggplot2 ggplot geom_point ggtitle theme_minimal
 #' @importFrom ggrepel geom_text_repel
-#' 
+#'
 make_mds_plot <- function(
     data,
     meta,
-    condition
-) {
-  
+    condition) {
   # Perform MDS using limma's plotMDS function
   mds <- limma::plotMDS(
     x = data,
     plot = FALSE
   )
-  
+
   # Extract MDS coordinates
   mds_df <- data.frame(
-    Dim1 = mds$x, 
-    Dim2 = mds$y, 
+    Dim1 = mds$x,
+    Dim2 = mds$y,
     Labels = colnames(data)
   )
-  
+
   # Add condition levels and time information from metadata
   mds_df$Levels <- meta[[condition]]
   mds_df$Time <- meta$Time
-  
+
   # Normalize the Time column to a 0-1 range for alpha values
   mds_df$Alpha <- scales::rescale(mds_df$Time, to = c(0.3, 1))
-  
+
   # Generate the MDS plot using ggplot2 and ggrepel
   mds_plot <- ggplot2::ggplot(
-    mds_df, 
+    mds_df,
     ggplot2::aes(
-      x = .data$Dim1, 
-      y = .data$Dim2, 
+      x = .data$Dim1,
+      y = .data$Dim2,
       label = .data$Labels,
       color = .data$Levels,
-      alpha = .data$Alpha  # Use alpha for transparency
+      alpha = .data$Alpha # Use alpha for transparency
     )
   ) +
     ggplot2::geom_point() +
     ggrepel::geom_text_repel(
-      box.padding = 0.35, 
-      point.padding = 0.5, 
+      box.padding = 0.35,
+      point.padding = 0.5,
       max.overlaps = Inf,
       size = 2
     ) +
-    ggplot2::scale_alpha(range = c(0.3, 1), guide = "none") + # Hide alpha 
+    ggplot2::scale_alpha(range = c(0.3, 1), guide = "none") + # Hide alpha
     ggplot2::theme_minimal() +
     ggplot2::labs(
       x = "Dimension 1",
@@ -1045,7 +1043,7 @@ make_mds_plot <- function(
       color = condition
     ) +
     ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5))
-  
+
   return(mds_plot)
 }
 
@@ -1053,46 +1051,48 @@ make_mds_plot <- function(
 #' Generate Correlation Heatmaps
 #'
 #' @description
-#' This function generates correlation heatmaps using Spearman correlation for 
-#' a given data matrix. It creates a combined heatmap for all levels and 
-#' individual heatmaps for each level specified in the condition column of the 
+#' This function generates correlation heatmaps using Spearman correlation for
+#' a given data matrix. It creates a combined heatmap for all levels and
+#' individual heatmaps for each level specified in the condition column of the
 #' metadata.
 #'
 #' @param data A numeric matrix containing the data.
 #' @param meta A dataframe containing the metadata.
-#' @param condition The column name in the metadata dataframe that contains the 
+#' @param condition The column name in the metadata dataframe that contains the
 #' factor levels for generating individual heatmaps.
 #'
-#' @return A list of `ComplexHeatmap` heatmap objects representing the 
-#' correlation 
+#' @return A list of `ComplexHeatmap` heatmap objects representing the
+#' correlation
 #' heatmaps.
 #'
 #' @importFrom stats cor
 #' @importFrom ComplexHeatmap Heatmap
 #' @importFrom grDevices colorRampPalette
-#' 
+#'
 make_correlation_heatmaps <- function(
-    data, 
-    meta, 
-    condition
-    ) {
-  
+    data,
+    meta,
+    condition) {
   heatmaps <- list()
   heatmaps_sizes <- c()
-  
-  if (length(unique(meta[[condition]])) > 1) {    # Only when > 2 levels
+
+  if (length(unique(meta[[condition]])) > 1) { # Only when > 2 levels
     # Create combined correlation heatmap
-    corr_all <- stats::cor(data, method = "spearman", 
-                           use = "pairwise.complete.obs")
+    corr_all <- stats::cor(data,
+      method = "spearman",
+      use = "pairwise.complete.obs"
+    )
     # Remove perfect correlations for better visualization
     diag(corr_all) <- NA
-    
+
     # Define the color function for the heatmap based on the range of corr_all
-    breaks <- seq(min(corr_all, na.rm = TRUE), 
-                  max(corr_all, na.rm = TRUE), length.out = 100)
+    breaks <- seq(min(corr_all, na.rm = TRUE),
+      max(corr_all, na.rm = TRUE),
+      length.out = 100
+    )
 
     col_fun <- colorRampPalette(c("blue", "white", "red"))
-    
+
     heatmap_all <- ComplexHeatmap::Heatmap(
       corr_all,
       col = col_fun(100),
@@ -1100,9 +1100,9 @@ make_correlation_heatmaps <- function(
       column_title = "All Levels",
       heatmap_legend_param = list(
         title = "Spearman Correlation",
-        title_gp = gpar(fontsize = 6),  
-        labels_gp = gpar(fontsize = 6),  
-        title_position = "leftcenter-rot" 
+        title_gp = gpar(fontsize = 6),
+        labels_gp = gpar(fontsize = 6),
+        title_position = "leftcenter-rot"
       ),
       na_col = "grey",
       row_names_gp = gpar(fontsize = 6),
@@ -1111,31 +1111,37 @@ make_correlation_heatmaps <- function(
     )
     heatmaps <- c(heatmaps, list(heatmap_all))
   }
-  
+
   # Custom scaling logic for the HTML report
-  heatmap_all_size <- max(1.5 * length(meta[[condition]]) / 25,
-                          1)
+  heatmap_all_size <- max(
+    1.5 * length(meta[[condition]]) / 25,
+    1
+  )
   heatmaps_sizes <- c(heatmaps_sizes, heatmap_all_size)
-  
+
   # Create correlation heatmaps for each level of the condition
   levels <- unique(meta[[condition]])
   for (level in levels) {
     # Filter the data for the current level
     indices <- which(meta[[condition]] == level)
     data_level <- data[, indices, drop = FALSE]
-    
+
     # Compute Spearman correlation
-    corr_level <- stats::cor(data_level, method = "spearman", 
-                             use = "pairwise.complete.obs")
+    corr_level <- stats::cor(data_level,
+      method = "spearman",
+      use = "pairwise.complete.obs"
+    )
     # Remove perfect correlations for better visualization
     diag(corr_level) <- NA
-    
+
     # Define the color function for the heatmap based on the range of corr_level
-    breaks_level <- seq(min(corr_level, na.rm = TRUE), 
-                        max(corr_level, na.rm = TRUE), length.out = 100)
-    
+    breaks_level <- seq(min(corr_level, na.rm = TRUE),
+      max(corr_level, na.rm = TRUE),
+      length.out = 100
+    )
+
     col_fun_level <- colorRampPalette(c("blue", "white", "red"))
-    
+
     # Create the correlation heatmap for the current level
     heatmap_level <- ComplexHeatmap::Heatmap(
       corr_level,
@@ -1144,27 +1150,31 @@ make_correlation_heatmaps <- function(
       column_title = paste("Level:", level),
       heatmap_legend_param = list(
         title = "Spearman Correlation",
-        title_gp = gpar(fontsize = 6),  
-        labels_gp = gpar(fontsize = 6), 
-        title_position = "leftcenter-rot"  
+        title_gp = gpar(fontsize = 6),
+        labels_gp = gpar(fontsize = 6),
+        title_position = "leftcenter-rot"
       ),
       na_col = "grey",
       row_names_gp = gpar(fontsize = 6),
       column_names_gp = gpar(fontsize = 6),
       column_names_rot = 60
     )
-    
+
     heatmaps <- c(heatmaps, list(heatmap_level))
-    
+
     # Custom scaling logic for the HTML report
     nr_level_timepoints <- sum(meta[[condition]] == level)
-    heatmap_level_size <- max(1.5 * nr_level_timepoints / 17,
-                              1)
+    heatmap_level_size <- max(
+      1.5 * nr_level_timepoints / 17,
+      1
+    )
     heatmaps_sizes <- c(heatmaps_sizes, heatmap_level_size)
   }
-  
-  list(heatmaps = heatmaps,
-       heatmaps_sizes = heatmaps_sizes)
+
+  list(
+    heatmaps = heatmaps,
+    heatmaps_sizes = heatmaps_sizes
+  )
 }
 
 
@@ -1182,13 +1192,12 @@ make_correlation_heatmaps <- function(
 #' autocorrelation plots, coefficient of variation (CV) plots, PCA plots, PCA
 #' variance explained plots, MDS plots, and correlation heatmaps. Each
 #' explanation provides insights on what the plot shows and how to interpret it.
-#' 
+#'
 get_explore_plots_explanations <- function() {
-  
   plot_explanations_file <- system.file(
     "descriptions",
     "explore_plot_explanations.txt",
     package = "SplineOmics"
-    )
+  )
   plot_explanations <- readLines(plot_explanations_file)
 }
diff --git a/R/extract_data.R b/R/extract_data.R
index c9c86ff..da304b1 100755
--- a/R/extract_data.R
+++ b/R/extract_data.R
@@ -1,6 +1,6 @@
-#' extract_data.R contains the exported package function extract_data. This 
+#' extract_data.R contains the exported package function extract_data. This
 #' function automatically recognises the data field in a table and returns the
-#' data matrix, that serves as input for the other functions of this package. 
+#' data matrix, that serves as input for the other functions of this package.
 #' This is for convenience only.
 
 
@@ -9,20 +9,20 @@
 #' Extract Numeric Matrix from Dataframe
 #'
 #' @description
-#' This function takes a dataframe and identifies a rectangular or quadratic 
-#' area containing numeric data, starting from the first occurrence of a 
-#' 6x6 block of numeric values. It then extracts this area into a matrix, 
-#' ensuring that each row contains only numeric values. Rows with any NA values 
+#' This function takes a dataframe and identifies a rectangular or quadratic
+#' area containing numeric data, starting from the first occurrence of a
+#' 6x6 block of numeric values. It then extracts this area into a matrix,
+#' ensuring that each row contains only numeric values. Rows with any NA values
 #' are removed from the resulting matrix.
 #'
-#' @param data A dataframe loaded from a tabular file, potentially containing a 
+#' @param data A dataframe loaded from a tabular file, potentially containing a
 #' rectangular or quadratic area with numeric data amidst other values.
 #' @param feature_name_columns (Optional) A character vector, specifying the
-#'                             columns of the dataframe data, that should be 
+#'                             columns of the dataframe data, that should be
 #'                             used to construct the feature names. If ommited,
 #'                             the feature names are just numbers (stored as
 #'                             characters) starting from 1 (1, 2, 3, etc.)
-#' @param user_prompt Boolean specifying whether the user prompt about the 
+#' @param user_prompt Boolean specifying whether the user prompt about the
 #' correct format of the input data should be shown.
 #'
 #' @return A numeric matrix with row headers and appropriate column names.
@@ -30,90 +30,88 @@
 #' @importFrom stats complete.cases
 #'
 #' @export
-#' 
+#'
 extract_data <- function(
     data,
     feature_name_columns = NA,
-    user_prompt = TRUE
-    ) {
-  
+    user_prompt = TRUE) {
   control_inputs_extract_data(
     data = data,
     feature_name_columns = feature_name_columns
-    )
-  
+  )
+
   if (user_prompt) {
     ask_user(paste(
       "Is the data matrix on the left, the annotation info on the right,",
       "separated by an empty column? "
-      ))
+    ))
   }
-  
+
   data <- as.data.frame(data)
-  
+
   numeric_block_finder <- NumericBlockFinder$new(data)
   upper_left_cell <- numeric_block_finder$find_upper_left_cell()
   lower_right_cell <- numeric_block_finder$find_lower_right_cell()
-  
+
   upper_left_row <- upper_left_cell$upper_left_row
   upper_left_col <- upper_left_cell$upper_left_col
-  
+
   lower_right_row <- lower_right_cell$lower_right_row
   lower_right_col <- lower_right_cell$lower_right_col
 
-  
+
   # Extract the numeric data block
   numeric_data <- data[
     upper_left_row:lower_right_row,
     upper_left_col:lower_right_col
-    ]
+  ]
 
   numeric_data[] <-
-    lapply(numeric_data, function(col) suppressWarnings(
-      as.numeric(as.character(col))))
+    lapply(numeric_data, function(col) {
+      suppressWarnings(
+        as.numeric(as.character(col))
+      )
+    })
 
   # Check if every element of numeric_data is numeric
-  if (any(sapply(numeric_data, function(col) all(is.na(col))))) {
-    stop(
-      paste(
+  if (any(vapply(numeric_data, function(col) all(is.na(col)), logical(1)))) {
+    stop_call_false(paste(
       "All elements of the data field must be numeric. Please",
       "ensure there is an empty column between the numeric data and",
       "the annotation information, which, if present, must be on the",
       "right of the numeric data, not on the left."
-      ), 
-      call. = FALSE
-      )
+    ))
   }
 
   # Remove rows and columns that are entirely NA
   numeric_data <- numeric_data[
-    rowSums(is.na(numeric_data)) != ncol(numeric_data), 
-    ]
+    rowSums(is.na(numeric_data)) != ncol(numeric_data),
+  ]
   numeric_data <- numeric_data[
     , colSums(is.na(numeric_data)) != nrow(numeric_data)
-    ]
+  ]
 
   # Remove rows with any NA values
   clean_data <- numeric_data[stats::complete.cases(numeric_data), ]
-  
+
   # Extract headers for each column above the identified block
-  headers <- sapply(upper_left_col:lower_right_col, function(col_idx) {
+  headers <- vapply(upper_left_col:lower_right_col, function(col_idx) {
     header_values <- data[1:(upper_left_row - 1), col_idx]
     header_values <- header_values[!is.na(header_values)]
     paste(header_values, collapse = "_")
-  })
-  
+  }, character(1))
+
   colnames(clean_data) <- headers
-  
+
   clean_data <- add_feature_names(
     data = data,
     clean_data = clean_data,
     feature_name_columns = feature_name_columns
-    )
-  
+  )
+
   clean_matrix <- as.matrix(clean_data)
   rownames(clean_matrix) <- rownames(clean_data)
-  
+
   clean_matrix
 }
 
@@ -124,7 +122,7 @@ extract_data <- function(
 
 #' NumericBlockFinder: A class for finding numeric blocks in data
 #'
-#' This class provides methods to identify the upper-left and lower-right 
+#' This class provides methods to identify the upper-left and lower-right
 #' cells of a numeric block within a dataframe.
 #'
 #' @field data A dataframe containing the input data.
@@ -135,34 +133,32 @@ NumericBlockFinder <- R6::R6Class("NumericBlockFinder",
   public = list(
     data = NULL,
     upper_left_cell = NULL,
-    
-    
+
+
     #' Initialize a NumericBlockFinder object
     #'
     #' @param data A dataframe containing the input data.
     #' @return A new instance of the NumericBlockFinder class.
-    #' 
+    #'
     initialize = function(data) {
-      
       self$data <- as.data.frame(data)
     },
-    
-    
+
+
     #' Find the upper-left cell of the first 6x6 block of numeric values
     #'
-    #' This method identifies the upper-left cell of the first 6x6 block of 
+    #' This method identifies the upper-left cell of the first 6x6 block of
     #' numeric values in the dataframe.
     #'
-    #' @return A list containing the row and column indices of the upper-left 
+    #' @return A list containing the row and column indices of the upper-left
     #'         cell.
-    #'         
+    #'
     find_upper_left_cell = function() {
-      
       upper_left_row <- NA
       upper_left_col <- NA
       num_rows <- nrow(self$data)
       num_cols <- ncol(self$data)
-      
+
       for (i in 1:(num_rows - 5)) {
         for (j in 1:(num_cols - 5)) {
           block <- self$data[i:(i + 5), j:(j + 5)]
@@ -175,18 +171,21 @@ NumericBlockFinder <- R6::R6Class("NumericBlockFinder",
         }
         if (!is.na(upper_left_row)) break
       }
-      
+
       if (is.na(upper_left_row) || is.na(upper_left_col)) {
         stop("No at least 6x6 block of numeric values found.",
-             call. = FALSE)
+          call. = FALSE
+        )
       }
-      
-      self$upper_left_cell <- list(upper_left_row = upper_left_row,
-                                   upper_left_col = upper_left_col)
+
+      self$upper_left_cell <- list(
+        upper_left_row = upper_left_row,
+        upper_left_col = upper_left_col
+      )
       return(self$upper_left_cell)
     },
-    
-    
+
+
     #' Find the lower-right cell of a block of contiguous non-NA values
     #'
     #' This method identifies the lower-right cell of a block of contiguous
@@ -194,19 +193,20 @@ NumericBlockFinder <- R6::R6Class("NumericBlockFinder",
     #'
     #' @return A list containing the row and column indices of the lower-right
     #'         cell.
-    #' 
+    #'
     find_lower_right_cell = function() {
-      
       if (is.null(self$upper_left_cell)) {
-        stop(paste("Upper-left cell has not been identified.", 
-                   "Call find_upper_left_cell first."), call. = FALSE)
+        stop(paste(
+          "Upper-left cell has not been identified.",
+          "Call find_upper_left_cell first."
+        ), call. = FALSE)
       }
-      
+
       upper_left_row <- self$upper_left_cell$upper_left_row
       upper_left_col <- self$upper_left_cell$upper_left_col
       num_rows <- nrow(self$data)
       num_cols <- ncol(self$data)
-      
+
       # Expand the block vertically
       lower_right_row <- upper_left_row
       for (i in (upper_left_row + 1):num_rows) {
@@ -215,18 +215,20 @@ NumericBlockFinder <- R6::R6Class("NumericBlockFinder",
         }
         lower_right_row <- i
       }
-      
+
       # Expand the block horizontally
       lower_right_col <- upper_left_col
-      for (j in (upper_left_col+1):num_cols) {
+      for (j in (upper_left_col + 1):num_cols) {
         if (is.na(self$data[upper_left_row, j])) {
           break
         }
         lower_right_col <- j
       }
-      
-      list(lower_right_row = lower_right_row,
-           lower_right_col = lower_right_col)
+
+      list(
+        lower_right_row = lower_right_row,
+        lower_right_col = lower_right_col
+      )
     }
   )
 )
@@ -239,60 +241,63 @@ NumericBlockFinder <- R6::R6Class("NumericBlockFinder",
 #'
 #' @description
 #' This function checks the validity of input data and the feature name column.
-#' It ensures that the input data is a dataframe, the feature name column is 
+#' It ensures that the input data is a dataframe, the feature name column is
 #' specified correctly, and contains valid data.
 #'
 #' @param data A dataframe containing the input data.
-#' @param feature_name_columns A character vector specifying the names of the 
+#' @param feature_name_columns A character vector specifying the names of the
 #'                             feature name columns. The columns must be present
-#'                             in the dataframe data. If `NA`, no column is 
+#'                             in the dataframe data. If `NA`, no column is
 #'                             checked.
 #'
 #' @details
 #' The function performs the following checks:
 #' - Ensures the input data is a dataframe.
-#' - Checks if the feature name column is a single string and exists in the 
+#' - Checks if the feature name column is a single string and exists in the
 #' data.
-#' - Ensures the specified feature name column does not contain only `NA` 
+#' - Ensures the specified feature name column does not contain only `NA`
 #' values.
 #' - Checks if the input dataframe is not empty.
 #'
 #' If any of these checks fail, the function stops with an error message.
-#' 
+#'
 control_inputs_extract_data <- function(
     data,
-    feature_name_columns
-    ) {
-  
+    feature_name_columns) {
   if (!is.data.frame(data)) {
     stop("Input data must be a dataframe.", call. = FALSE)
   }
-  
+
   if (!any(is.na(feature_name_columns))) {
-    
     if (!is.character(feature_name_columns)) {
       stop("feature_name_columns should be a character vector.", call. = FALSE)
     }
-    
+
     missing_columns <- setdiff(feature_name_columns, colnames(data))
     if (length(missing_columns) > 0) {
-      stop(paste(
-        "The following feature_name_columns are not present in the data:",
-        paste(missing_columns, collapse = ", ")
+      stop(
+        paste(
+          "The following feature_name_columns are not present in the data:",
+          paste(missing_columns, collapse = ", ")
         ),
-        call. = FALSE)
+        call. = FALSE
+      )
     }
-    
-    
+
+
     if (!any(is.na(feature_name_columns))) {
       if (all(is.na(data[feature_name_columns]))) {
-        stop(paste("Columns '", paste(feature_name_columns, collapse = ", "),
-                   "' contain only NA values.", sep = ""),
-             call. = FALSE)
+        stop(
+          paste("Columns '", paste(feature_name_columns, collapse = ", "),
+            "' contain only NA values.",
+            sep = ""
+          ),
+          call. = FALSE
+        )
       }
     }
   }
-  
+
   if (nrow(data) == 0) {
     stop("Input dataframe is empty.", call. = FALSE)
   }
@@ -302,14 +307,14 @@ control_inputs_extract_data <- function(
 #' Prompt the user with a yes/no question
 #'
 #' @description
-#' This function prompts the user with a yes/no question. If the user answers 
-#' "yes" (case insensitive), the code proceeds. If the user answers "no" or 
+#' This function prompts the user with a yes/no question. If the user answers
+#' "yes" (case insensitive), the code proceeds. If the user answers "no" or
 #' anything else, the code stops.
 #'
 #' @param question A string of the question to ask the user.
-#' 
+#'
 #' @return None.
-#'  
+#'
 ask_user <- function(question) {
   message(question, " (yes/no):")
   response <- readline()
@@ -324,70 +329,78 @@ ask_user <- function(question) {
 #' Add Feature Names to Data
 #'
 #' @description
-#' This function assigns feature names to the rows of a dataframe based on a 
-#' specified column from another dataframe. If no column is specified, it 
+#' This function assigns feature names to the rows of a dataframe based on a
+#' specified column from another dataframe. If no column is specified, it
 #' assigns sequential numbers as feature names.
 #'
 #' @param data A dataframe containing the original data with feature names.
 #' @param clean_data A dataframe to which the feature names will be added.
-#' @param feature_name_columns A string specifying the name of the feature 
-#'                             columns in `data`. If `NA`, sequential numbers 
+#' @param feature_name_columns A string specifying the name of the feature
+#'                             columns in `data`. If `NA`, sequential numbers
 #'                             will be used as feature names.
 #'
 #' @details
 #' The function performs the following operations:
 #' - Extracts feature names from the specified column in `data`, ignoring
 #'  `NA` values.
-#' - Ensures the feature names are unique and match the number of rows in 
+#' - Ensures the feature names are unique and match the number of rows in
 #' `clean_data`.
 #' - Assigns the feature names to the rows of `clean_data`.
-#' - If `feature_name_column` is `NA`, assigns sequential numbers 
-#' (1, 2, 3, etc.) 
+#' - If `feature_name_column` is `NA`, assigns sequential numbers
+#' (1, 2, 3, etc.)
 #'   as feature names and issues a message.
 #'
 #' @return The `clean_data` dataframe with updated row names.
-#'         
-add_feature_names <- function(data, 
-                              clean_data, 
+#'
+add_feature_names <- function(data,
+                              clean_data,
                               feature_name_columns) {
-  
   if (!any(is.na(feature_name_columns))) {
-    
-    non_na_index <- which(apply(data[feature_name_columns], 1, 
-                                function(row) all(!is.na(row))))[1]
+    non_na_index <- which(apply(
+      data[feature_name_columns], 1,
+      function(row) all(!is.na(row))
+    ))[1]
     data_filtered <- data[non_na_index:nrow(data), , drop = FALSE]
     clean_data_filtered <- clean_data[non_na_index:nrow(clean_data), ,
-                                      drop = FALSE]
-    
+      drop = FALSE
+    ]
+
     # Extract and combine the feature names from specified columns
-    feature_names <- apply(data_filtered[feature_name_columns], 1, 
-                           function(row) paste(row, collapse = "_"))
-    
+    feature_names <- apply(
+      data_filtered[feature_name_columns], 1,
+      function(row) paste(row, collapse = "_")
+    )
+
     # Check for NA values in combined feature names
     feature_names <- as.character(feature_names)
     feature_names <- feature_names[!is.na(feature_names)]
 
     # Ensure unique feature names
     if (length(feature_names) != length(unique(feature_names))) {
-      stop("Combined feature names must be unique, ignoring NA values.", 
-           call. = FALSE)
+      stop("Combined feature names must be unique, ignoring NA values.",
+        call. = FALSE
+      )
     }
-    
+
     # Ensure the length matches the number of rows in clean_data
     if (length(feature_names) != nrow(clean_data)) {
-      stop(paste("Length of combined feature names does not match the number of",
-                 "rows in clean_data."), 
-           call. = FALSE)
+      stop(
+        paste(
+          "Length of combined feature names does not match the number of",
+          "rows in clean_data."
+        ),
+        call. = FALSE
+      )
     }
-    
+
     # Assign combined feature names as row names
     rownames(clean_data) <- feature_names
-    
   } else {
-    
     rownames(clean_data) <- as.character(seq_len(nrow(clean_data)))
-    message(paste("No feature_name column specified. Setting numbers 1, 2, 3,", 
-                  "etc. as the feature names"))
+    message(paste(
+      "No feature_name column specified. Setting numbers 1, 2, 3,",
+      "etc. as the feature names"
+    ))
   }
   return(clean_data)
 }
diff --git a/R/open_tutorial_and_template.R b/R/open_tutorial_and_template.R
index 90179b7..9801850 100755
--- a/R/open_tutorial_and_template.R
+++ b/R/open_tutorial_and_template.R
@@ -1,64 +1,38 @@
-# This function is exported, but not part of the functionality of the 
-# SplineOmics package. Rather, it provides a convenient way of opening the 
-# tutorial for the SplineOmics package in a R Markdown file, which
-# provides an interactive experience.
-
-
 #' Interactive Tutorial for Getting Started
 #'
 #' @description
 #' This function opens the `tutorial.Rmd` file in RStudio for
 #' interactive use. Users can then run each code chunk step by step.
-#' 
+#'
+#' @return
+#' If successful, opens the `tutorial.Rmd` file in RStudio for the user to
+#' interact with.
+#' If `rstudioapi` is not installed or available, or the tutorial file is
+#' not found,
+#' an error is thrown with a corresponding message.
+#'
 #' @export
-#' 
+#'
 open_tutorial <- function() {
-  
   # Check if rstudioapi is installed
-  if (!requireNamespace(
-    "rstudioapi",
-    quietly = TRUE
-  )) {
-    repeat {
-      # Prompt the user for action
-      cat("The 'rstudioapi' package is not installed.\n")
-      cat("1: Install 'rstudioapi'\n")
-      cat("2: Do not install and quit\n")
-      cat("3: Resolve manually and retry\n")
-      choice <- readline(prompt = "Please enter your choice (1, 2, or 3): ")
-      
-      # Check user input and take appropriate action
-      if (choice == "1") {
-        utils::install.packages("rstudioapi")
-        break
-      } else if (choice == "2") {
-        stop(
-          "User chose not to install 'rstudioapi'. Exiting function.",
-          call. = FALSE
-          )
-      } else if (choice == "3") {
-        stop(
-          "Please install 'rstudioapi' manually and retry.",
-          call. = FALSE)
-      } else {
-        cat("Invalid choice. Please enter 1, 2, or 3.\n")
-      }
-    }
-  }
-  
-  file <- system.file(
-    "tutorial",
-    "tutorial.Rmd",
-    package = "SplineOmics"
+  if (!requireNamespace("rstudioapi", quietly = TRUE)) {
+    stop_call_false(
+      "The 'rstudioapi' package is not installed. ",
+      "Please install it manually with: install.packages('rstudioapi')."
     )
+  }
+
+  # Find the tutorial file
+  file <- system.file("tutorial", "tutorial.Rmd", package = "SplineOmics")
+
   if (file != "") {
     if (rstudioapi::isAvailable()) {
       rstudioapi::navigateToFile(file)
     } else {
-      stop("RStudio API not available. Cannot open tutorial.")
+      stop_call_false("RStudio API not available. Cannot open tutorial.")
     }
   } else {
-    stop("tutorial.Rmd file not found under inst/tutorial")
+    stop_call_false("tutorial.Rmd file not found under inst/tutorial")
   }
 }
 
@@ -67,59 +41,38 @@ open_tutorial <- function() {
 #'
 #' @description
 #' This function opens the `template.Rmd` file in RStudio for
-#' interactive use. The template file provides a structure for users 
+#' interactive use. The template file provides a structure for users
 #' to quickly set up their personal analysis.
-#' 
+#'
+#' @return
+#' If successful, opens the `template.Rmd` file in RStudio for the user to
+#' interact with.
+#' If `rstudioapi` is not installed or available, or the template file is
+#' not found,
+#' an error is thrown with a corresponding message.
+#'
 #' @export
-#' 
+#'
 open_template <- function() {
-  
   # Check if rstudioapi is installed
-  if (!requireNamespace(
-    "rstudioapi",
-    quietly = TRUE
-    )) {
-    repeat {
-      # Prompt the user for action
-      cat("The 'rstudioapi' package is not installed.\n")
-      cat("1: Install 'rstudioapi'\n")
-      cat("2: Do not install and quit\n")
-      cat("3: Resolve manually and retry\n")
-      choice <- readline(prompt = "Please enter your choice (1, 2, or 3): ")
-      
-      # Check user input and take appropriate action
-      if (choice == "1") {
-        utils::install.packages("rstudioapi")
-        break
-      } else if (choice == "2") {
-        stop(
-          "User chose not to install 'rstudioapi'. Exiting function.",
-          call. = FALSE
-        )
-      } else if (choice == "3") {
-        stop(
-          "Please install 'rstudioapi' manually and retry.",
-          call. = FALSE)
-      } else {
-        cat("Invalid choice. Please enter 1, 2, or 3.\n")
-      }
-    }
+  if (!requireNamespace("rstudioapi", quietly = TRUE)) {
+    stop(
+      "The 'rstudioapi' package is not installed. ",
+      "Please install it manually with: install.packages('rstudioapi').",
+      call. = FALSE
+    )
   }
-  
-  file <- system.file(
-    "template",
-    "template.Rmd",
-    package = "SplineOmics"
-  )
+
+  # Find the template file
+  file <- system.file("template", "template.Rmd", package = "SplineOmics")
+
   if (file != "") {
     if (rstudioapi::isAvailable()) {
       rstudioapi::navigateToFile(file)
     } else {
-      stop("RStudio API not available. Cannot open template.")
+      stop("RStudio API not available. Cannot open template.", call. = FALSE)
     }
   } else {
-    stop("template.Rmd file not found under inst/template")
+    stop("template.Rmd file not found under inst/template", call. = FALSE)
   }
 }
-
-
diff --git a/R/preprocess_rna_seq_data.R b/R/preprocess_rna_seq_data.R
index 503689a..c2c6fb8 100755
--- a/R/preprocess_rna_seq_data.R
+++ b/R/preprocess_rna_seq_data.R
@@ -6,7 +6,7 @@
 #' @description
 #' The `preprocess_rna_seq_data()` function performs essential preprocessing
 #' steps for raw RNA-seq counts. This includes creating a `DGEList` object,
-#' normalizing the counts using the default TMM (Trimmed Mean of M-values) 
+#' normalizing the counts using the default TMM (Trimmed Mean of M-values)
 #' normalization via the `edgeR::calcNormFactors` function, and applying the
 #' `voom` transformation from the `limma` package to obtain log-transformed
 #' counts per million (logCPM) with associated precision weights. If you
@@ -19,106 +19,65 @@
 #' @param spline_params Parameters for spline functions (optional). Must contain
 #' the named elements spline_type, which must contain either the string "n" for
 #' natural cubic splines, or "b", for B-splines, the named element degree in the
-#' case of B-splines, that must contain only an integer, and the named element 
+#' case of B-splines, that must contain only an integer, and the named element
 #' dof, specifying the degree of freedom, containing an integer and required
 #' both for natural and B-splines.
-#' @param design A design formula for the limma analysis, such as 
+#' @param design A design formula for the limma analysis, such as
 #' '~ 1 + Phase*X + Reactor'.
-#' @param normalize_func An optional normalization function. If provided, this 
+#' @param normalize_func An optional normalization function. If provided, this
 #' function will be used to normalize the `DGEList` object. If not provided,
 #' TMM normalization (via `edgeR::calcNormFactors`) will be used by default.
 #' Must take as
-#' input the y of: y <- edgeR::DGEList(counts = raw_counts) and output the y 
+#' input the y of: y <- edgeR::DGEList(counts = raw_counts) and output the y
 #' with the normalized counts.
 #' @return A `voom` object, which includes the log2-counts per million (logCPM)
 #'  matrix and observation-specific weights.
-#' 
+#'
 #' @importFrom limma voom
-#' 
+#'
 #' @export
-#'   
+#'
 preprocess_rna_seq_data <- function(
     raw_counts,
     meta,
     spline_params,
     design,
-    normalize_func = NULL
-) {
+    normalize_func = NULL) {
   
   message("Preprocessing RNA-seq data (normalization + voom)...")
-  
-  # Check if edgeR is installed; if not, prompt the user
+
+  # Check if edgeR is installed; if not, inform the user
   if (!requireNamespace("edgeR", quietly = TRUE)) {
-    message("The 'edgeR' package is not installed.")
-    
-    # Prompt user for action
-    repeat {
-      user_input <- readline(
-        prompt = 
-          "What would you like to do?\n
-        1: Automatically install edgeR\n
-        2: Manually install edgeR\n
-        3: Cancel\n
-        Please enter 1, 2, or 3: "
-      )
-      
-      if (user_input == "1") {
-        # Try to install edgeR automatically from Bioconductor
-        message("Attempting to install 'edgeR' automatically 
-                from Bioconductor...")
-        if (!requireNamespace("BiocManager", quietly = TRUE)) {
-          utils::install.packages("BiocManager")
-        }
-        tryCatch(
-          {
-            BiocManager::install("edgeR", update = FALSE)
-          },
-          error = function(e) {
-            stop(
-              "Automatic installation of 'edgeR' failed.
-            Please install it manually and try again.",
-              call. = FALSE
-            )
-          }
-        )
-        break  # Exit the loop if installation is successful
-      } else if (user_input == "2") {
-        stop(
-          "Please install 'edgeR' manually using 
-         BiocManager::install('edgeR') and then re-run the function.",
-          call. = FALSE
-        )
-      } else if (user_input == "3") {
-        stop("Operation canceled by the user.", call. = FALSE)
-      } else {
-        message("Invalid input. Please enter 1, 2, or 3.")
-      }
-    }
+    stop(
+      "The 'edgeR' package is not installed. ",
+      "Please install it manually using BiocManager::install('edgeR') ",
+      "and re-run the function."
+    )
   }
-  
+
   design_matrix <- design2design_matrix(
     meta = meta,
     spline_params = spline_params,
     level_index = 1,
     design = design
   )
-  
+
   # Step 1: Create DGEList object from raw counts
   y <- edgeR::DGEList(counts = raw_counts)
-  
+
   # Step 2: Apply the normalization function (either user-provided or default)
   if (!is.null(normalize_func) && is.function(normalize_func)) {
-    y <- normalize_func(y)   # user provided normalisation function
+    y <- normalize_func(y) # user provided normalisation function
   } else {
     # Default: Normalize the counts using TMM normalization
     y <- edgeR::calcNormFactors(y)
   }
-  
+
   # Step 3: Apply voom transformation to get logCPM values and weights
   voom_obj <- limma::voom(
     y,
     design_matrix
   )
-  
+
   return(voom_obj)
-}
\ No newline at end of file
+}
diff --git a/R/run_gsea.R b/R/run_gsea.R
index 4203300..7c409e2 100755
--- a/R/run_gsea.R
+++ b/R/run_gsea.R
@@ -34,9 +34,7 @@ run_gsea <- function(
     clusterProfiler_params = NA,
     plot_titles = NA,
     universe = NULL,
-    report_dir = here::here()
-    ) {
-
+    report_dir = here::here()) {
   report_dir <- normalizePath(
     report_dir,
     mustWork = FALSE
@@ -45,21 +43,22 @@ run_gsea <- function(
   # Check report_info and report_dir
   args <- lapply(
     as.list(
-      match.call()[-1]),
+      match.call()[-1]
+    ),
     eval,
     parent.frame()
-    )
+  )
 
   input_control <- InputControl$new(args)
   input_control$auto_validate()
 
-  # Remove levels that
   levels_clustered_hits <- levels_clustered_hits[
-    !sapply(
+    !vapply(
       levels_clustered_hits,
-      is.character
-      )
-    ]
+      is.character,
+      logical(1)
+    )
+  ]
 
   # Control the test not covered by the InputControl class
   control_inputs_create_gsea_report(
@@ -68,9 +67,9 @@ run_gsea <- function(
     params = clusterProfiler_params,
     plot_titles = plot_titles,
     background = universe
-    )
+  )
 
-  ensure_clusterProfiler()  # Deals with clusterProfiler installation.
+  ensure_clusterProfiler() # Deals with clusterProfiler installation.
 
   all_results <- map2(
     levels_clustered_hits,
@@ -81,7 +80,7 @@ run_gsea <- function(
       databases,
       clusterProfiler_params,
       universe
-      )
+    )
   )
 
   names(all_results) <- names(levels_clustered_hits)
@@ -95,14 +94,14 @@ run_gsea <- function(
   # Extract the plots, plot sizes, and header info from the processed results
   plots <- purrr::flatten(map(processed_results, "plot"))
   plots_sizes <- unlist(map(processed_results, "plot_size"))
-  
+
   insert_after_each <- function(lst, value) {
-    result <- vector("list", 2 * length(lst))  # Create a list twice the size
-    result[seq(1, length(result), by = 2)] <- lst  # Insert original elements at odd positions
-    result[seq(2, length(result), by = 2)] <- value  # Insert value at even positions
+    result <- vector("list", 2 * length(lst))
+    result[seq(1, length(result), by = 2)] <- lst
+    result[seq(2, length(result), by = 2)] <- value
     return(result)
   }
-  
+
   plots <- insert_after_each(plots, "section_break")
   plots_sizes <- insert_after_each(plots_sizes, 999)
 
@@ -121,7 +120,7 @@ run_gsea <- function(
     report_type = "create_gsea_report",
     filename = "create_gsea_report",
     report_dir = report_dir
-    )
+  )
 
   print_info_message(
     message_prefix = "Gene set enrichment analysis",
@@ -155,9 +154,7 @@ control_inputs_create_gsea_report <- function(
     databases,
     params,
     plot_titles,
-    background
-    ) {
-
+    background) {
   check_clustered_hits(levels_clustered_hits)
 
   check_databases(databases)
@@ -166,11 +163,12 @@ control_inputs_create_gsea_report <- function(
 
 
   if (!is.na(plot_titles)) {
-
     if (!is.character(plot_titles) ||
-        length(plot_titles) != length(levels_clustered_hits)) {
-      stop(paste("plot_titles must be a character vector with length == length",
-                 "length levels_clustered_hits"), call. = FALSE)
+      length(plot_titles) != length(levels_clustered_hits)) {
+      stop(paste(
+        "plot_titles must be a character vector with length == length",
+        "length levels_clustered_hits"
+      ), call. = FALSE)
     }
   }
 
@@ -194,64 +192,19 @@ control_inputs_create_gsea_report <- function(
 #' is loaded for use.
 #'
 ensure_clusterProfiler <- function() {
-
-  # Check if clusterProfiler is installed; if not, prompt the user
+  # Check if clusterProfiler is installed; if not, inform the user
   if (!requireNamespace("clusterProfiler", quietly = TRUE)) {
-    message("The 'clusterProfiler' package is not installed.")
-
-    # Prompt user for action
-    repeat {
-      user_input <- readline(
-        prompt = paste0(
-          "What would you like to do?\n",
-          "1: Automatically install clusterProfiler\n",
-          "2: Manually install clusterProfiler\n",
-          "3: Cancel\n",
-          "Please enter 1, 2, or 3: "
-        )
-      )
-
-      if (user_input == "1") {
-        # Try to install clusterProfiler automatically from Bioconductor
-        message(
-          "Attempting to install 'clusterProfiler' automatically
-          from Bioconductor..."
-          )
-
-        if (!requireNamespace("BiocManager", quietly = TRUE)) {
-          utils::install.packages("BiocManager")
-        }
-
-        tryCatch(
-          {
-            BiocManager::install("clusterProfiler", update = FALSE, ask = FALSE)
-          },
-          error = function(e) {
-            stop(
-              "Automatic installation of 'clusterProfiler' failed.
-              Please install it manually and try again.",
-              call. = FALSE
-              )
-          }
-        )
-        break  # Exit the loop if installation is successful
-      } else if (user_input == "2") {
-        stop(
-          "Please install 'clusterProfiler' manually
-          using BiocManager::install('clusterProfiler') and
-          then re-run the function.",
-          call. = FALSE
-          )
-      } else if (user_input == "3") {
-        stop("Operation canceled by the user.", call. = FALSE)
-      } else {
-        message("Invalid input. Please enter 1, 2, or 3.")
-      }
-    }
+    stop(
+      "The 'clusterProfiler' package is not installed. ",
+      "Please install it manually using", 
+      "BiocManager::install('clusterProfiler') ",
+      "and re-run the function."
+    )
   }
 }
 
 
+
 #' Manage GSEA Analysis for a Specific Level
 #'
 #' @description
@@ -277,15 +230,13 @@ manage_gsea_level <- function(
     level_name,
     databases,
     clusterProfiler_params,
-    universe
-    ) {
-
+    universe) {
   clustered_hits <- na.omit(clustered_hits)
 
   message(paste(
     "\n\n Running clusterProfiler for the level:",
     level_name
-    ))
+  ))
 
   result <- create_gsea_report_level(
     clustered_genes = clustered_hits,
@@ -293,7 +244,7 @@ manage_gsea_level <- function(
     params = clusterProfiler_params,
     plot_title = level_name,
     universe = universe
-    )
+  )
 }
 
 
@@ -318,9 +269,7 @@ manage_gsea_level <- function(
 #'
 process_result <- function(
     level_result,
-    level_name
-    ) {
-
+    level_name) {
   result <- list()
 
   if (any(is.na(level_result))) {
@@ -379,14 +328,12 @@ build_create_gsea_report <- function(
     plots_sizes,
     level_headers_info,
     report_info,
-    output_file_path
-    ) {
-
+    output_file_path) {
   html_content <- paste(
     header_section,
     "<!--TOC-->",
     sep = "\n"
-    )
+  )
 
   toc <- create_toc()
 
@@ -398,15 +345,13 @@ build_create_gsea_report <- function(
   level_headers_info <- Filter(
     Negate(is.null),
     level_headers_info
-    )
+  )
 
   pb <- create_progress_bar(plots)
   # Generate the sections and plots
   for (index in seq_along(plots)) {
-
     # means jump to next level
-    if (any(class(plots[[index]]) == "character")) {
-
+    if (any(is(plots[[index]], "character"))) {
       section_info <- level_headers_info[[current_header_index]]
 
       section_content <- generate_section_content(
@@ -426,7 +371,7 @@ build_create_gsea_report <- function(
       pb$tick()
       next
     }
-    
+
     # Add the section header and horizontal line just before the plot
     section_info <- level_headers_info[[current_header_index]]
     section_header <- sprintf(
@@ -435,13 +380,13 @@ build_create_gsea_report <- function(
       index,
       section_info$header_name
     )
-    
+
     horizontal_line <- ""
-    
+
     if (current_header_index > 1) {
       horizontal_line <- "<hr>"
     }
-    
+
     # Update the HTML content with the section header and horizontal line
     html_content <- paste(
       html_content,
@@ -449,19 +394,19 @@ build_create_gsea_report <- function(
       section_header,
       sep = "\n"
     )
-    
+
     toc_entry <- sprintf(
       "<li style='%s'><a href='#section%d'>%s</a></li>",
       toc_style,
       index,
       section_info$header_name
     )
-    
+
     toc <- paste(
       toc,
       toc_entry,
       sep = "\n"
-      )
+    )
 
     result <- process_plots(
       plots_element = plots[[index]],
@@ -505,38 +450,42 @@ build_create_gsea_report <- function(
 #'         if the conditions are not met.
 #'
 check_clustered_hits <- function(levels_clustered_hits) {
-
   if (!is.list(levels_clustered_hits)) {
     stop(paste("levels_clustered_hits must be a list"), call. = FALSE)
   }
 
   for (i in seq_along(levels_clustered_hits)) {
-
     clustered_hits <- levels_clustered_hits[[i]]
 
     # Check if clustered_hits is a dataframe
     if (!is.data.frame(clustered_hits)) {
-      stop(paste("Element", i ,"of levels_clustered_hits is not a dataframe",
-                 "but must be one."), call. = FALSE)
+      stop(paste(
+        "Element", i, "of levels_clustered_hits is not a dataframe",
+        "but must be one."
+      ), call. = FALSE)
     }
 
     # Check if the dataframe contains the columns 'gene' and 'cluster'
     required_columns <- c("feature", "cluster")
     if (!all(required_columns %in% colnames(clustered_hits))) {
-      stop(paste("The dataframe must contain the columns 'feature' and",
-                 "'cluster'."),
-           call. = FALSE)
+      stop(
+        paste(
+          "The dataframe must contain the columns 'feature' and",
+          "'cluster'."
+        ),
+        call. = FALSE
+      )
     }
 
     # Check if the 'feature' column contains only integers
     if (!is.integer(clustered_hits$feature) &&
-        !all(clustered_hits$feature == as.integer(clustered_hits$feature))) {
+      !all(clustered_hits$feature == as.integer(clustered_hits$feature))) {
       stop("The 'feature' column must contain only integers.", call. = FALSE)
     }
 
     # Check if the 'cluster' column contains only integers
     if (!is.integer(clustered_hits$cluster) &&
-        !all(clustered_hits$cluster == as.integer(clustered_hits$cluster))) {
+      !all(clustered_hits$cluster == as.integer(clustered_hits$cluster))) {
       stop("The 'cluster' column must contain only integers.", call. = FALSE)
     }
   }
@@ -560,14 +509,16 @@ check_clustered_hits <- function(levels_clustered_hits) {
 #'
 check_genes <- function(
     genes,
-    max_index_overall = NA
-    ) {
-
+    max_index_overall = NA) {
   if (!is.na(max_index_overall)) {
     if (length(genes) < max_index_overall) {
-      stop(paste("genes must at least have over", max_index_overall,
-                 "elements"),
-           call. = FALSE)
+      stop(
+        paste(
+          "genes must at least have over", max_index_overall,
+          "elements"
+        ),
+        call. = FALSE
+      )
     }
   }
 
@@ -581,10 +532,16 @@ check_genes <- function(
     first_invalid_index <- which(!valid)[1]
     first_invalid_value <- genes[first_invalid_index]
     num_invalid <- sum(!valid) - 1
-    stop(sprintf(paste("Invalid gene found at index %d: '%s'.",
-                 "There are %d more invalid elements."),
-                 first_invalid_index, first_invalid_value, num_invalid),
-         call. = FALSE)
+    stop(
+      sprintf(
+        paste(
+          "Invalid gene found at index %d: '%s'.",
+          "There are %d more invalid elements."
+        ),
+        first_invalid_index, first_invalid_value, num_invalid
+      ),
+      call. = FALSE
+    )
   }
 }
 
@@ -602,7 +559,6 @@ check_genes <- function(
 #'         error message if the dataframe is not valid.
 #'
 check_databases <- function(databases) {
-
   if (!is.data.frame(databases)) {
     stop("The input must be a dataframe.", call. = FALSE)
   }
@@ -614,12 +570,12 @@ check_databases <- function(databases) {
   expected_colnames <- c("DB", "Geneset", "Gene")
   if (!all(colnames(databases) == expected_colnames)) {
     stop("The dataframe must have columns named DB, Geneset, and Gene.",
-         call. = FALSE)
+      call. = FALSE
+    )
   }
 
-  if (!all(sapply(databases, is.character))) {
-    stop("All columns in the dataframe must be of type character.",
-         call. = FALSE)
+  if (!all(vapply(databases, is.character, logical(1)))) {
+    stop_call_false("All columns in the dataframe must be of type character.")
   }
 }
 
@@ -640,11 +596,10 @@ check_databases <- function(databases) {
 #'
 #' @return This function does not return a value. It stops with an error message
 #'         if the conditions are not met.
-#' 
+#'
 #' @importFrom stats p.adjust
 #'
 check_params <- function(params) {
-
   required_params <- list(
     pvalueCutoff = "numeric",
     pAdjustMethod = "character",
@@ -675,9 +630,7 @@ check_params <- function(params) {
 
   # Check for required elements and their data types
   for (param in names(params)) {
-
     if (param %in% names(required_params)) {
-
       actual_value <- params[[param]]
       expected_type <- required_params[[param]]
       actual_type <- class(params[[param]])
@@ -687,18 +640,17 @@ check_params <- function(params) {
       }
 
       if (expected_type == "integer" && !is.integer(params[[param]])) {
-
         # Check if the value can be coerced to integer
         if (is.numeric(params[[param]]) &&
-            all(params[[param]] == as.integer(params[[param]]))) {
-
+          all(params[[param]] == as.integer(params[[param]]))) {
           actual_type <- "integer"
         }
       }
       if (expected_type != actual_type) {
-
         stop("The element '", param, "' must be of type ",
-             expected_type, ".", call. = FALSE)
+          expected_type, ".",
+          call. = FALSE
+        )
       }
     } else {
       stop(
@@ -706,18 +658,20 @@ check_params <- function(params) {
         param,
         "' in the list.",
         call. = FALSE
-        )
+      )
     }
 
-    if (param == 'pAdjustMethod') {
+    if (param == "pAdjustMethod") {
       if (!(actual_value %in% valid_adj_p_value_methods)) {
-        stop(paste("pAdjustMethod must be one of",
-                   valid_adj_p_value_methods, collapse = ", "),
-             call. = FALSE)
-
+        stop(
+          paste("pAdjustMethod must be one of",
+            valid_adj_p_value_methods,
+            collapse = ", "
+          ),
+          call. = FALSE
+        )
       }
     }
-
   }
 }
 
@@ -751,9 +705,7 @@ create_gsea_report_level <- function(
     databases,
     params = NA,
     plot_title = "",
-    universe = NULL
-    ) {
-
+    universe = NULL) {
   set_default_params(params)
 
   all_term2genes <- dbs_to_term2genes(databases)
@@ -795,7 +747,7 @@ create_gsea_report_level <- function(
     gene_list <- as.list(cluster_genes)
     gene_list <- unlist(gene_list)
 
-    at_least_one_result = FALSE
+    at_least_one_result <- FALSE
 
     # Run clusterProfiler and process output
     for (database_name in names(all_term2genes)) {
@@ -804,30 +756,30 @@ create_gsea_report_level <- function(
       message(paste(
         "\nDatabase:",
         database_name
-        ))
+      ))
 
       enrichment <-
         clusterProfiler::enricher(
           gene = gene_list,
-          pvalueCutoff  = params$pvalueCutoff,
+          pvalueCutoff = params$pvalueCutoff,
           pAdjustMethod = params$pAdjustMethod,
-          universe      = universe,
-          minGSSize     = params$minGSSize,
-          maxGSSize     = params$maxGSSize,
-          qvalueCutoff  = params$qvalueCutoff,
-          gson          = NULL,
-          TERM2GENE     = term2gene,
-          TERM2NAME     = NA
-          )
+          universe = universe,
+          minGSSize = params$minGSSize,
+          maxGSSize = params$maxGSSize,
+          qvalueCutoff = params$qvalueCutoff,
+          gson = NULL,
+          TERM2GENE = term2gene,
+          TERM2NAME = NA
+        )
 
       enrichment <- as.data.frame(enrichment)
 
       if (is.null(enrichment) || (nrow(enrichment) == 0 &
-                                  ncol(enrichment) == 0)) {
+        ncol(enrichment) == 0)) {
         next
       }
 
-      at_least_one_result = TRUE
+      at_least_one_result <- TRUE
 
       enrichment_results[[length(enrichment_results) + 1]] <- enrichment
 
@@ -836,15 +788,15 @@ create_gsea_report_level <- function(
         "cluster: %s, database: %s",
         cluster,
         database_name
-        )
+      )
 
       raw_results[[name]] <- enrichment
     }
 
     if (is.null(universe)) {
-      use_background = TRUE
+      use_background <- TRUE
     } else {
-      use_background = FALSE
+      use_background <- FALSE
     }
 
     if (at_least_one_result) {
@@ -862,7 +814,12 @@ create_gsea_report_level <- function(
   }
 
   # Make dotplot
-  any_result <- sapply(all_db_results, function(df) nrow(df) > 0)
+  any_result <- vapply(
+    all_db_results,
+    function(df) nrow(df) > 0,
+    logical(1)
+  )
+
   has_true <- any(any_result)
 
   if (has_true) {
@@ -870,7 +827,7 @@ create_gsea_report_level <- function(
       all_db_results,
       names(all_term2genes),
       plot_title
-      )
+    )
   } else {
     message("No database led to an enrichment result!")
     return(NA)
@@ -881,7 +838,7 @@ create_gsea_report_level <- function(
     dotplot_nrows = result[["dotplot_height"]],
     full_enrich_results = result[["full_enrich_results"]],
     raw_results = raw_results
-    )
+  )
 }
 
 
@@ -905,11 +862,8 @@ generate_section_content <- function(
     toc,
     html_content,
     section_header_style,
-    toc_style
-) {
-
+    toc_style) {
   if (any(is.na(section_info$full_enrich_results))) {
-
     no_results_message <- paste0(
       "<p style='font-size: 40px; color: #FF0000;'>",
       "No database specified led to identification of any enrichment ",
@@ -931,7 +885,7 @@ generate_section_content <- function(
   full_enrich_results_header <- paste0(
     "<h3 style='font-size: 30px; font-weight: bold; color: #333;",
     "'>Enrichment Results</h3>"
-    )
+  )
 
   df <- section_info$full_enrich_results
 
@@ -960,7 +914,7 @@ generate_section_content <- function(
   raw_enrich_results_header <- paste0(
     "<h3 style='font-size: 30px; font-weight: bold; color: #333;",
     "'>Count smaller 2 Enrichment Results</h3>"
-    )
+  )
 
   base64_df <- sprintf(
     '<a href="%s" download="count2small_results.xlsx">
@@ -1004,7 +958,6 @@ generate_section_content <- function(
 #'         input `params` or with added default values for any missing elements.
 #'
 set_default_params <- function(params) {
-
   default_params <- list(
     pvalueCutoff = 0.05,
     pAdjustMethod = "BH",
@@ -1046,12 +999,10 @@ set_default_params <- function(params) {
 #'         contain gene names ('Gene') associated with each gene set.
 #'
 dbs_to_term2genes <- function(databases) {
-
   db_split <- split(databases, databases$DB)
 
   # Transform into long format
   all_term2genes <- lapply(db_split, function(db_df) {
-
     df_with_renamed_columns <- db_df[, c("Geneset", "Gene")]
     colnames(df_with_renamed_columns) <- c("term", "gene")
     return(df_with_renamed_columns)
@@ -1084,9 +1035,7 @@ process_enrichment_results <- function(
     adjP_threshold,
     column_name,
     count_column_name,
-    background = FALSE
-    ) {
-
+    background = FALSE) {
   column_indices <- list(2, 6, 3, 4, 9)
 
   # Process results for all databases.
@@ -1100,11 +1049,21 @@ process_enrichment_results <- function(
 
     term_list <- as.list(df[[column_indices[[1]]]])
     adjP_list <- as.list(df[[column_indices[[2]]]])
+
     odds_ratio <- as.list(df[[column_indices[[3]]]])
+    odds_ratio <- vapply(
+      odds_ratio,
+      function(x) eval(parse(text = x)),
+      numeric(1)
+    )
 
-    odds_ratio <- sapply(odds_ratio, function(x) eval(parse(text = x)))
     bg_ratio <- as.list(df[[column_indices[[4]]]])
-    bg_ratio <- sapply(bg_ratio, function(x) eval(parse(text = x)))
+    bg_ratio <- vapply(
+      bg_ratio,
+      function(x) eval(parse(text = x)),
+      numeric(1)
+    )
+
     odds_ratio <- mapply("/", odds_ratio, bg_ratio)
 
     gene_count_list <- as.list(df[[column_indices[[5]]]])
@@ -1112,7 +1071,7 @@ process_enrichment_results <- function(
     named_list <- list()
 
     # Loop through the terms
-    for(j in seq_along(term_list)) {
+    for (j in seq_along(term_list)) {
       # Create a sublist for each term with its adjP value and gene count
 
       # Skip terms that are just supported by one gene.
@@ -1128,7 +1087,6 @@ process_enrichment_results <- function(
     }
 
     for (name in names(named_list)) {
-
       if (!name %in% all_db_results[[i]]$BioProcess) {
         # Create a list with the same structure as your DataFrame
         row_index <- nrow(all_db_results[[i]]) + 1
@@ -1136,7 +1094,6 @@ process_enrichment_results <- function(
         all_db_results[[i]][row_index, column_name] <- named_list[[name]][[1]]
         all_db_results[[i]][row_index, count_column_name] <-
           named_list[[name]][[2]]
-
       } else {
         row_index <- which(all_db_results[[i]]$BioProcess == name)
         all_db_results[[i]][row_index, column_name] <- named_list[[name]][[1]]
@@ -1264,9 +1221,7 @@ process_enrichment_results <- function(
 make_enrich_dotplot <- function(
     enrichments_list,
     databases,
-    title = "Title"
-) {
-
+    title = "Title") {
   results <- prepare_plot_data(
     enrichments_list,
     databases
@@ -1280,7 +1235,7 @@ make_enrich_dotplot <- function(
   num_labels <- length(unique(top_plot_data$term))
   plot_height <- num_labels * height_per_label
 
-  if (plot_height < 0.70) {  # to always have a minimum size.
+  if (plot_height < 0.70) { # to always have a minimum size.
     plot_height <- 0.70
   }
 
@@ -1389,9 +1344,7 @@ make_enrich_dotplot <- function(
 #'
 prepare_plot_data <- function(
     enrichments_list,
-    databases
-    ) {
-
+    databases) {
   plot_data <-
     enrichments_list |>
     purrr::set_names(databases) |>
@@ -1413,7 +1366,7 @@ prepare_plot_data <- function(
     dplyr::arrange(
       dplyr::desc(.data$avg_odds_ratio),
       .data$db, .data$BioProcess
-      )
+    )
 
   # Initialize the cluster counts
   cluster_counts <-
@@ -1463,7 +1416,7 @@ prepare_plot_data <- function(
       # threshold. This step might seem redundant given the current logic but
       # could be adjusted for more complex conditions
       if (any(temp_cluster_counts <= min_threshold |
-              temp_cluster_counts > min_threshold)) {
+        temp_cluster_counts > min_threshold)) {
         # Commit the update if the combination is still eligible
         cluster_counts <- temp_cluster_counts
         selected_combos[[length(selected_combos) + 1]] <- combo
@@ -1474,18 +1427,18 @@ prepare_plot_data <- function(
     # Stop if all combos have been evaluated or the sum of cluster_counts
     # exceeds 5 times the number of clusters
     if (i == nrow(plot_data) || sum(cluster_counts) > 5 *
-        length(cluster_counts)) {
+      length(cluster_counts)) {
       break
     }
 
-    i <- i + length(cluster_counts)   # Jump to next combo
+    i <- i + length(cluster_counts) # Jump to next combo
   }
 
   # Combine selected combos into a dataframe
   top_combos <- do.call(
     rbind,
     selected_combos
-    )
+  )
 
   # Filter the original data to keep only rows matching the top 5 combinations
   top_plot_data <- plot_data |>
@@ -1494,8 +1447,8 @@ prepare_plot_data <- function(
       by = c(
         "db",
         "BioProcess"
-        )
       )
+    )
 
   full_enrich_results <- stats::na.omit(plot_data)
 
@@ -1505,15 +1458,15 @@ prepare_plot_data <- function(
       .data$BioProcess,
       col = "term",
       sep = ": "
-      )
+    )
 
   top_plot_data$term <- factor(
     top_plot_data$term,
     levels = rev(unique(top_plot_data$term))
-    )
+  )
 
   list(
     top_plot_data = top_plot_data,
     full_enrich_results = full_enrich_results
-    )
-}
\ No newline at end of file
+  )
+}
diff --git a/R/run_limma_splines.R b/R/run_limma_splines.R
index 77ccb40..2198b27 100755
--- a/R/run_limma_splines.R
+++ b/R/run_limma_splines.R
@@ -1,34 +1,34 @@
 # Exported function: run_limma_splines() ---------------------------------------
 
- 
+
 #' Run limma analysis with splines
-#' 
+#'
 #' @description
 #' This function performs a limma spline analysis to identify significant
-#' time-dependent changes in features (e.g., proteins) within an omics 
-#' time-series dataset. It evaluates features within each condition level 
-#' and between levels by comparing average differences and interactions 
+#' time-dependent changes in features (e.g., proteins) within an omics
+#' time-series dataset. It evaluates features within each condition level
+#' and between levels by comparing average differences and interactions
 #' between time and condition.
 #'
-#' @param splineomics An S3 object of class `SplineOmics` that contains the 
+#' @param splineomics An S3 object of class `SplineOmics` that contains the
 #' following elements:
 #' \itemize{
 #'   \item \code{data}: The matrix of the omics dataset, with the feature
 #'   names optionally as row headers.
-#'   \item \code{rna_seq_data}: An object containing the preprocessed 
-#'   RNA-seq data, 
+#'   \item \code{rna_seq_data}: An object containing the preprocessed
+#'   RNA-seq data,
 #'   such as the output from `limma::voom` or a similar preprocessing pipeline.
-#'   \item \code{meta}: A dataframe containing metadata corresponding to the 
-#'   \code{data}, must include a 'Time' column and the column specified by 
+#'   \item \code{meta}: A dataframe containing metadata corresponding to the
+#'   \code{data}, must include a 'Time' column and the column specified by
 #'   \code{condition}.
-#'   \item \code{design}: A character string representing the limma design 
+#'   \item \code{design}: A character string representing the limma design
 #'   formula.
-#'   \item \code{condition}: A character string specifying the column name 
+#'   \item \code{condition}: A character string specifying the column name
 #'   in \code{meta} used to define groups for analysis.
-#'   \item \code{spline_params}: A list of spline parameters used in the 
+#'   \item \code{spline_params}: A list of spline parameters used in the
 #'   analysis, including:
 #'     \itemize{
-#'       \item \code{spline_type}: The type of spline (e.g., "n" for natural 
+#'       \item \code{spline_type}: The type of spline (e.g., "n" for natural
 #'       splines or "b" for B-splines).
 #'       \item \code{dof}: Degrees of freedom for the spline.
 #'       \item \code{knots}: Positions of the internal knots (for B-splines).
@@ -37,137 +37,138 @@
 #'     }
 #' }
 #'
-#' @return The SplineOmics object, updated with a list with three elements: 
+#' @return The SplineOmics object, updated with a list with three elements:
 #'         - `time_effect`: A list of top tables for each level with the time
 #'                          effect.
 #'         - `avrg_diff_conditions`: A list of top tables for each comparison
-#'                                  between the levels. The comparison is the 
+#'                                  between the levels. The comparison is the
 #'                                  average difference of the values.
-#'         - `interaction_condition_time`: A list of top tables for each 
-#'                                         comparison between levels. The 
+#'         - `interaction_condition_time`: A list of top tables for each
+#'                                         comparison between levels. The
 #'                                         comparison is the interaction between
 #'                                         the condition and the time.
-#' 
+#'
 #' @importFrom purrr partial map map_chr map2
 #' @importFrom stats setNames
 #' @importFrom utils combn
-#' 
+#'
 #' @export
-#' 
+#'
 run_limma_splines <- function(
-    splineomics
-    ) {
-
+    splineomics) {
   check_splineomics_elements(
     splineomics = splineomics,
     func_type = "run_limma_splines"
   )
-  
+
   args <- lapply(
     as.list(match.call()[-1]),
     eval,
     parent.frame()
-    )
-  
+  )
+
   check_null_elements(args)
   input_control <- InputControl$new(args)
   input_control$auto_validate()
-  
+
   data <- splineomics[["data"]]
   rna_seq_data <- splineomics[["rna_seq_data"]]
   meta <- splineomics[["meta"]]
   spline_params <- splineomics[["spline_params"]]
   padjust_method <- splineomics[["padjust_method"]]
   design <- splineomics[["design"]]
+  dream_params <- splineomics[["dream_params"]]
   mode <- splineomics[["mode"]]
   condition <- splineomics[["condition"]]
-  
+
   feature_names <- rownames(data)
-  
-  rownames(data) <- NULL   # To just have numbers describing the rows
+
+  rownames(data) <- NULL # To just have numbers describing the rows
 
   meta[[condition]] <- factor(meta[[condition]])
   levels <- levels(meta[[condition]])
 
-  # Get hits for level (within level analysis) 
+  # Get hits for level (within level analysis)
   process_level_with_params <- purrr::partial(
-    within_level, 
+    within_level,
     spline_params = spline_params,
-    data = data, 
+    data = data,
     rna_seq_data = rna_seq_data,
-    meta = meta, 
-    design = design, 
-    condition = condition, 
-    feature_names = feature_names, 
-    padjust_method = padjust_method, 
+    meta = meta,
+    design = design,
+    dream_params = dream_params,
+    condition = condition,
+    feature_names = feature_names,
+    padjust_method = padjust_method,
     mode = mode
-    )
-  
+  )
+
   results_list <- purrr::imap(
     levels,
     process_level_with_params
-    )
-  
-  within_level_top_table <- 
+  )
+
+  within_level_top_table <-
     stats::setNames(
-      purrr::map(results_list, "top_table"), 
+      purrr::map(results_list, "top_table"),
       purrr::map_chr(results_list, "name")
-      )
+    )
+
+  # Factor and Factor:Time comparisons between levels
+  between_level_condition_only <- list()
+  between_level_condition_time <- list() # Factor AND time
 
-  # Factor and Factor:Time comparisons between levels 
-  between_level_condition_only <- list()        
-  between_level_condition_time <- list()        # Factor AND time
-  
   if (mode == "integrated") {
     level_combinations <- utils::combn(levels, 2, simplify = FALSE)
     for (lev_combo in level_combinations) {
       result <- between_level(
-        data = data, 
+        data = data,
         rna_seq_data = rna_seq_data,
-        meta = meta, 
-        design = design, 
+        meta = meta,
+        design = design,
+        dream_params = dream_params,
         spline_params = spline_params,
-        condition = condition, 
-        compared_levels = lev_combo, 
-        padjust_method = padjust_method, 
+        condition = condition,
+        compared_levels = lev_combo,
+        padjust_method = padjust_method,
         feature_names = feature_names
-        )
-      
+      )
+
       between_level_condition_only[[
         paste0(
-          "avrg_diff_" ,lev_combo[1],
+          "avrg_diff_", lev_combo[1],
           "_vs_", lev_combo[2]
-          )
-        ]] <- result$condition_only
-      
+        )
+      ]] <- result$condition_only
+
       between_level_condition_time[[
         paste0(
-          "time_interaction_" ,
+          "time_interaction_",
           lev_combo[1],
           "_vs_", lev_combo[2]
-          )
-        ]] <- result$condition_time
+        )
+      ]] <- result$condition_time
     }
   } else { # mode == "isolated"
     message(paste(
       "mode == 'integrated' necessary for between level",
-      "comparisons. Returning emtpy lists the limma result categories 2 and 3 
+      "comparisons. Returning emtpy lists the limma result categories 2 and 3
       (avrg diff conditions, and interaction condition time)."
-      ))
+    ))
   }
-  
+
   message("\033[32mInfo\033[0m limma spline analysis completed successfully")
-  
+
   limma_splines_result <- list(
-   time_effect = within_level_top_table, 
-   avrg_diff_conditions = between_level_condition_only,
-   interaction_condition_time = between_level_condition_time
-   )
+    time_effect = within_level_top_table,
+    avrg_diff_conditions = between_level_condition_only,
+    interaction_condition_time = between_level_condition_time
+  )
 
   splineomics <- update_splineomics(
     splineomics = splineomics,
     limma_splines_result = limma_splines_result
- )
+  )
 }
 
 
@@ -178,173 +179,223 @@ run_limma_splines <- function(
 #' Between Level Analysis
 #'
 #' @description
-#' Performs a between-level analysis using LIMMA to compare specified levels 
+#' Performs a between-level analysis using LIMMA to compare specified levels
 #' within a condition.
 #'
 #' @param data A matrix of data values.
-#' @param rna_seq_data An object containing the preprocessed RNA-seq data, 
+#' @param rna_seq_data An object containing the preprocessed RNA-seq data,
 #' such as the output from `limma::voom` or a similar preprocessing pipeline.
 #' @param meta A dataframe containing metadata, including a 'Time' column.
 #' @param design A design formula or matrix for the LIMMA analysis.
+#' @param dream_params A named list or NULL. When not NULL, it must at least 
+#' contain the named element 'random_effects', which must contain a string that
+#' is a formula for the random effects of the mixed models by dream. 
+#' Additionally, it can contain the named elements dof, which must be a int
+#' bigger than 1, which is the degree of freedom for the dream topTable, and
+#' the named element KenwardRoger, which must be a bool, specifying whether
+#' to use that method or not.
 #' @param spline_params A list of spline parameters for the analysis.
 #' @param condition A character string specifying the condition.
 #' @param compared_levels A vector of levels within the condition to compare.
 #' @param padjust_method A character string specifying the p-adjustment method.
 #' @param feature_names A non-empty character vector of feature names.
 #'
-#' @return A list containing top tables for the factor only and factor-time 
+#' @return A list containing top tables for the factor only and factor-time
 #' contrast.
 #'
 #' @seealso
-#' \code{\link[splines]{bs}}, \code{\link[splines]{ns}}, 
-#' \code{\link[limma]{lmFit}}, \code{\link[limma]{eBayes}}, 
+#' \code{\link[splines]{bs}}, \code{\link[splines]{ns}},
+#' \code{\link[limma]{lmFit}}, \code{\link[limma]{eBayes}},
 #' \code{\link[limma]{topTable}}, \code{\link{modify_limma_top_table}}
-#' 
-#' @importFrom splines bs
-#' @importFrom splines ns
-#' @importFrom stats as.formula
-#' @importFrom stats model.matrix
-#' @importFrom limma lmFit
-#' @importFrom limma eBayes
-#' @importFrom limma topTable
-#' 
+#'
+#' @importFrom splines bs ns
+#' @importFrom stats as.formula model.matrix
+#' @importFrom limma lmFit eBayes topTable
+#' @importFrom variancePartition dream eBayes topTable
+#'
 between_level <- function(
-    data, 
+    data,
     rna_seq_data,
-    meta, 
-    design, 
-    spline_params, 
-    condition, 
+    meta,
+    design,
+    dream_params,
+    spline_params,
+    condition,
     compared_levels,
-    padjust_method, 
+    padjust_method,
     feature_names
     ) {
   
   samples <- which(meta[[condition]] %in% compared_levels)
   data <- data[, samples]
 
-  # meta <- subset(meta, meta[[condition]] %in% compared_levels)
   meta <- meta[meta[[condition]] %in% compared_levels, ]
-  
-  design_matrix <- design2design_matrix(
+
+  result <- design2design_matrix(
     meta = meta,
     spline_params = spline_params,
     level_index = 1,
     design = design
-    )
+  )
+  
+  design_matrix <- result$design_matrix
 
   if (!is.null(rna_seq_data)) {
     data <- rna_seq_data
   }
   
-  fit <- limma::lmFit(
-    data,
-    design_matrix
-    )
-  fit <- limma::eBayes(fit)
-
-  factor_only_contrast_coeff <- paste0(
+  condition_only_contrast_coeff <- paste0(
     condition,
     compared_levels[2]
-    )
-  
-  condition_only <- limma::topTable(
-    fit,
-    coef = factor_only_contrast_coeff,
-    adjust.method = padjust_method,
-    number = Inf
-    )
-  
-  condition_only_resuls <- list(
-    top_table = condition_only,
-    fit = fit
-    )
-  
-  top_table_condition_only <- process_top_table(
-    condition_only_resuls, 
-    feature_names
-    )
-  
+  )
   
   num_matching_columns <- sum(
     grepl(
       "^X\\d+$",
       colnames(design_matrix)
-      )
     )
+  )
   
-  factor_time_contrast_coeffs <- paste0(
+  interaction_condition_time_contrast_coeffs <- paste0(
     condition,
     compared_levels[2],
-    ":X", 
+    ":X",
     seq_len(num_matching_columns)
-    )
+  )
 
-  condition_time <- limma::topTable(
-    fit,
-    coef = factor_time_contrast_coeffs,
-    adjust.method = padjust_method,
-    number = Inf
+  if (!is.null(dream_params)) {
+    colnames(data) <- rownames(meta)  # dream requires this format
+    meta <- result$meta  # Only do it after, new meta has more columns
+    
+    # Apply the Kenward-Roger method if specified
+    if (isTRUE(dream_params[["KenwardRoger"]])) {
+      method <- "Kenward-Roger"
+    } else {
+      method <- NULL
+    }
+
+    fit <- variancePartition::dream(
+      exprObj = data,
+      formula = stats::as.formula(design),
+      data = meta,
+      random.formula = stats::as.formula(dream_params[["random_effects"]]),
+      ddf = method
+    )
+    
+    fit <- variancePartition::eBayes(fit)
+
+    condition_only <- variancePartition::topTable(
+      fit,
+      coef = condition_only_contrast_coeff,
+      adjust.method = padjust_method,
+      number = Inf
+    )
+    
+    condition_time <- variancePartition::topTable(
+      fit,
+      coef = interaction_condition_time_contrast_coeffs,
+      adjust.method = padjust_method,
+      number = Inf,
+      sort.by = "F"
+    )
+    
+  } else {
+    fit <- limma::lmFit(
+      data,
+      design_matrix
+    )
+    
+    fit <- limma::eBayes(fit)
+  
+    condition_only <- limma::topTable(
+      fit,
+      coef = condition_only_contrast_coeff,
+      adjust.method = padjust_method,
+      number = Inf
     )
   
+    condition_time <- limma::topTable(
+      fit,
+      coef = interaction_condition_time_contrast_coeffs,
+      adjust.method = padjust_method,
+      number = Inf
+    )
+  }
+  
+  condition_only_resuls <- list(
+    top_table = condition_only,
+    fit = fit
+  )
+  
+  top_table_condition_only <- process_top_table(
+    condition_only_resuls,
+    feature_names
+  )
+  
   condition_and_time_results <- list(
     top_table = condition_time,
     fit = fit
-    )
+  )
   top_table_condition_and_time <- process_top_table(
-    condition_and_time_results, 
+    condition_and_time_results,
     feature_names
-    )
-  
+  )
+
   list(
     condition_only = top_table_condition_only,
     condition_time = top_table_condition_and_time
-    )
+  )
 }
 
 
 #' Within level analysis
 #'
 #' @description
-#' Processes a single level within a condition, performing limma analysis 
+#' Processes a single level within a condition, performing limma analysis
 #' and generating the top table of results.
 #'
 #' @param level The level within the condition to process.
 #' @param level_index The index of the level within the condition.
-#' @param spline_params A list of spline parameters for the analysis. 
+#' @param spline_params A list of spline parameters for the analysis.
 #' @param data A matrix of data values.
-#' @param rna_seq_data An object containing the preprocessed RNA-seq data, 
+#' @param rna_seq_data An object containing the preprocessed RNA-seq data,
 #' such as the output from `limma::voom` or a similar preprocessing pipeline.
 #' @param meta A dataframe containing the metadata for data.
 #' @param design A design formula or matrix for the limma analysis.
+#' @param dream_params A named list or NULL. When not NULL, it must at least 
+#' contain the named element 'random_effects', which must contain a string that
+#' is a formula for the random effects of the mixed models by dream. 
+#' Additionally, it can contain the named elements dof, which must be a int
+#' bigger than 1, which is the degree of freedom for the dream topTable, and
+#' the named element KenwardRoger, which must be a bool, specifying whether
+#' to use that method or not.
 #' @param condition A character string specifying the condition.
 #' @param feature_names A non-empty character vector of feature names.
 #' @param padjust_method A character string specifying the p-adjustment method.
-#' @param mode A character string specifying the mode 
+#' @param mode A character string specifying the mode
 #'            ('isolated' or 'integrated').
 #'
-#' @return A list containing the name of the results and the top table of 
+#' @return A list containing the name of the results and the top table of
 #'          results.
 #'
 #' @seealso
 #' \code{\link{within_level}}, \code{\link{process_top_table}}
-#' 
+#'
 #' @importFrom stats relevel
-#' 
+#'
 within_level <- function(
-    level, 
+    level,
     level_index,
     spline_params,
-    data, 
+    data,
     rna_seq_data,
-    meta, 
-    design, 
-    condition, 
-    feature_names, 
-    padjust_method, 
-    mode
-    ) {
-
+    meta,
+    design,
+    dream_params,
+    condition,
+    feature_names,
+    padjust_method,
+    mode) {
   if (mode == "isolated") {
     samples <- which(meta[[condition]] == level)
     data_copy <- data[, samples]
@@ -353,38 +404,39 @@ within_level <- function(
     data_copy <- data
     meta_copy <- meta
     meta_copy[[condition]] <- stats::relevel(
-      meta_copy[[condition]], 
+      meta_copy[[condition]],
       ref = level
-      )
+    )
     # spline_params must be uniform across all levels for integrated mode.
-    level_index <- 1L   
+    level_index <- 1L
   }
-  
+
   result <- process_within_level(
-    data = data_copy, 
+    data = data_copy,
     rna_seq_data = rna_seq_data,
-    meta = meta_copy, 
-    design = design, 
+    meta = meta_copy,
+    design = design,
+    dream_params = dream_params,
     spline_params = spline_params,
-    level_index = level_index, 
+    level_index = level_index,
     padjust_method = padjust_method
-    )
+  )
 
   top_table <- process_top_table(
-    result, 
+    result,
     feature_names
-    )
-  
+  )
+
   results_name <- paste(
     condition,
     level,
     sep = "_"
-    )
+  )
 
   list(
     name = results_name,
     top_table = top_table
-    )
+  )
 }
 
 
@@ -394,11 +446,11 @@ within_level <- function(
 #' Process Top Table
 #'
 #' @description
-#' Processes the top table from a LIMMA analysis, adding feature names and 
+#' Processes the top table from a LIMMA analysis, adding feature names and
 #' intercepts.
 #'
-#' @param process_within_level_result List of lists containing the limma 
-#'                                    topTable, and fit. All of this is from 
+#' @param process_within_level_result List of lists containing the limma
+#'                                    topTable, and fit. All of this is from
 #'                                    one specific level.
 #' @param feature_names A non-empty character vector of feature names.
 #'
@@ -406,21 +458,19 @@ within_level <- function(
 #'
 #' @seealso
 #' \link{modify_limma_top_table}, \link[limma]{lmFit}
-#' 
+#'
 #' @importFrom stats coef
-#' 
+#'
 process_top_table <- function(
-    process_within_level_result, 
-    feature_names
-    ) {
-
+    process_within_level_result,
+    feature_names) {
   top_table <- process_within_level_result$top_table
   fit <- process_within_level_result$fit
 
   top_table <- modify_limma_top_table(
     top_table,
     feature_names
-    )
+  )
 
   intercepts <- as.data.frame(stats::coef(fit)[, "(Intercept)", drop = FALSE])
   intercepts_ordered <- intercepts[top_table$feature_nr, , drop = FALSE]
@@ -433,76 +483,152 @@ process_top_table <- function(
 #' Process Within Level
 #'
 #' @description
-#' Performs a within-level analysis using limma to generate top tables and fit 
-#' objects based on the specified spline parameters. Performs the limma spline 
+#' Performs a within-level analysis using limma to generate top tables and fit
+#' objects based on the specified spline parameters. Performs the limma spline
 #' analysis for a selected level of a factor
 #'
 #' @param data A matrix of data values.
-#' @param rna_seq_data An object containing the preprocessed RNA-seq data, 
+#' @param rna_seq_data An object containing the preprocessed RNA-seq data,
 #' such as the output from `limma::voom` or a similar preprocessing pipeline.
 #' @param meta A dataframe containing metadata, including a 'Time' column.
 #' @param design A design formula or matrix for the limma analysis.
+#' @param dream_params A named list or NULL. When not NULL, it must at least 
+#' contain the named element 'random_effects', which must contain a string that
+#' is a formula for the random effects of the mixed models by dream. 
+#' Additionally, it can contain the named elements dof, which must be a int
+#' bigger than 1, which is the degree of freedom for the dream topTable, and
+#' the named element KenwardRoger, which must be a bool, specifying whether
+#' to use that method or not.
 #' @param spline_params A list of spline parameters for the analysis.
 #' @param level_index The index of the level within the factor.
 #' @param padjust_method A character string specifying the p-adjustment method.
 #'
-#' @return A list containing the top table and the fit object from the limma 
+#' @return A list containing the top table and the fit object from the limma
 #' analysis.
 #'
 #' @seealso
-#' \link[splines]{bs}, \link[splines]{ns}, \link[limma]{lmFit}, 
+#' \link[splines]{bs}, \link[splines]{ns}, \link[limma]{lmFit},
 #' \link[limma]{eBayes}, \link[limma]{topTable}
-#' 
+#'
 #' @importFrom splines bs ns
 #' @importFrom stats as.formula model.matrix
 #' @importFrom limma lmFit eBayes topTable
-#' 
+#' @importFrom variancePartition dream eBayes topTable
+#'
 process_within_level <- function(
     data,
     rna_seq_data,
     meta,
     design,
+    dream_params,
     spline_params,
     level_index,
     padjust_method
     ) {
-
-  design_matrix <- design2design_matrix(
+  
+  result <- design2design_matrix(
     meta,
     spline_params,
     level_index,
     design
-    )
+  )
+  
+  design_matrix <- result$design_matrix
 
   if (!is.null(rna_seq_data)) {
     data <- rna_seq_data
   }
 
-  fit <- limma::lmFit(
-    data,
-    design_matrix
+  if (!is.null(dream_params)) {
+    colnames(data) <- rownames(meta)  # dream wants it like this.
+    meta <- result$meta  # Only do it after, new meta has more columns
+
+    if (isTRUE(dream_params[["KenwardRoger"]])) {
+      method <- "Kenward-Roger"
+    } else {
+      method = NULL
+    }
+    
+    fit <- variancePartition::dream(
+      exprObj = data,
+      formula = stats::as.formula(design),
+      data = meta,
+      random.formula = stats::as.formula(dream_params[["random_effects"]]),
+      ddf = method
     )
-  fit <- limma::eBayes(fit)
+    
+    fit <- variancePartition::eBayes(fit)
+    
+    num_matching_columns <- sum(grepl("^X\\d+$", colnames(design_matrix)))
+    coeffs <- paste0("X", seq_len(num_matching_columns))
+    
+    if (!is.null(dream_params[["dof"]])) {
+      dof <- dream_params[["dof"]]
+    } else {
+      dof = Inf
+    }
 
-  num_matching_columns <- sum(grepl(
-    "^X\\d+$",
-    colnames(design_matrix)
-    ))
-  coeffs <- paste0("X", seq_len(num_matching_columns))
-  
-  top_table <- limma::topTable(
-    fit,
-    adjust.method = padjust_method, 
-    number = Inf,
-    coef = coeffs
+    top_table <- variancePartition::topTable(
+      fit,
+      adjust.method = padjust_method,
+      number = dof,
+      coef = coeffs,
+      sort.by = "F"
+    )
+  } else {
+    fit <- limma::lmFit(
+      data,
+      design_matrix
+    )
+    fit <- limma::eBayes(fit)
+    
+    # Extract the top table based on coefficients
+    num_matching_columns <- sum(grepl("^X\\d+$", colnames(design_matrix)))
+    coeffs <- paste0("X", seq_len(num_matching_columns))
+    
+    top_table <- limma::topTable(
+      fit,
+      adjust.method = padjust_method,
+      number = Inf,
+      coef = coeffs
     )
+  }
 
   attr(top_table, "adjust.method") <- padjust_method
 
   list(
     top_table = top_table,
     fit = fit
-    )
+  )
+}
+
+
+#' Remove intercept from a formula
+#'
+#' @description
+#' This function modifies a given formula by replacing the first occurrence
+#' of a standalone intercept (`1`) with `0`. It works even if the `1` is
+#' preceded by a tilde (`~`), ensuring that the intercept is removed while
+#' leaving other parts of the formula intact.
+#'
+#' @param formula A formula object. The formula can include an intercept (`1`)
+#'   and other terms. If a `1` is found, it is replaced with `0`.
+#'
+#' @return A modified formula with the intercept removed. The first standalone
+#'   occurrence of `1` will be replaced by `0`.
+#'
+remove_intercept <- function(formula) {
+  # Deparse the formula into a single string
+  formula_str <- paste(deparse(formula), collapse = " ")
+  
+  # Regular expression to match the first standalone 1
+  # (with optional spaces around it)
+  pattern <- "(~\\s*|\\s+)(1)(\\s|$)"
+  
+  # Replace the first occurrence of "1" with "0"
+  formula_str <- sub(pattern, "\\10\\3", formula_str)
+  
+  new_formula <- as.formula(formula_str)
 }
 
 
@@ -518,47 +644,51 @@ process_within_level <- function(
 #' @param feature_names A character vector of feature names.
 #'
 #' @return A tibble with feature indices and names included.
-#' 
+#'
 #' @importFrom tibble as_tibble
 #' @importFrom dplyr relocate last_col mutate
 #' @importFrom rlang .data
-#' 
+#'
 modify_limma_top_table <- function(
-    top_table, 
-    feature_names
-    ) {
-  
+    top_table,
+    feature_names) {
   is_integer_string <- function(x) {
-    return(grepl("^[0-9]+$", x))  
+    return(grepl("^[0-9]+$", x))
   }
-  
-  # Because the row headers of a potential rna_seq_data object were not 
+
+  # Because the row headers of a potential rna_seq_data object were not
   # converted to ints (written as strings) beforehand. This is run only when
   # the row headers are still "real" strings.
-  if (!all(sapply(rownames(top_table), is_integer_string))) {
-    rownames(top_table) <- sapply(
-      rownames(top_table), 
+  if (!all(vapply(
+    rownames(top_table),
+    is_integer_string,
+    logical(1)
+  ))
+  ) {
+    rownames(top_table) <- vapply(
+      rownames(top_table),
       function(id) {
         # Find the index of the current row name in feature_names
         index <- which(feature_names == id)
         # Return the index as a string
         return(as.character(index))
-      }
+      },
+      character(1)
     )
   }
-  
+
   top_table <- tibble::as_tibble(
-    top_table, 
+    top_table,
     rownames = "feature_nr"
-    )
-  
+  )
+
   # feature_nr <- NULL  # dummy declaration for the lintr and R CMD.
 
   # Convert feature_nr to integer
-  top_table <- top_table |> 
+  top_table <- top_table |>
     dplyr::mutate(feature_nr = as.integer(.data$feature_nr)) |>
     dplyr::relocate(.data$feature_nr, .after = dplyr::last_col())
-  
+
   # Sort and add feature names based on the feature_nr
   sorted_feature_names <- feature_names[top_table$feature_nr]
   top_table <- top_table |> dplyr::mutate(feature_names = sorted_feature_names)
diff --git a/R/screen_limma_hyperparams.R b/R/screen_limma_hyperparams.R
index 7af2914..28a8a9b 100755
--- a/R/screen_limma_hyperparams.R
+++ b/R/screen_limma_hyperparams.R
@@ -3,82 +3,80 @@
 
 #' Limma Hyperparameters Screening
 #'
-#' This function screens through various combinations of hyperparameters for 
+#' This function screens through various combinations of hyperparameters for
 #' limma analysis,
-#' including designs, modes, and degrees of freedom. It validates inputs, 
+#' including designs, modes, and degrees of freedom. It validates inputs,
 #' generates results for all
-#' combinations, and plots the outcomes. Finally, it may also be involved in 
+#' combinations, and plots the outcomes. Finally, it may also be involved in
 #' generating an HTML report
 #' as part of a larger analysis workflow.
 #'
-#' @param splineomics An S3 object of class `SplineOmics` that contains all the 
+#' @param splineomics An S3 object of class `SplineOmics` that contains all the
 #' necessary data and parameters for the analysis, including:
 #' \itemize{
 #'   \item \code{condition}: A string specifying the column name of the meta
 #'                           dataframe, that contains the levels that separate
 #'                           the experiment ('treatment' can be a condition, and
-#'                           'drug' and 'no drug' can be the levels of such a 
+#'                           'drug' and 'no drug' can be the levels of such a
 #'                           condition).
-#'   \item \code{report_info}: 
-#'   \item \code{meta_batch_column}: A character string specifying the meta 
+#'   \item \code{report_info}:
+#'   \item \code{meta_batch_column}: A character string specifying the meta
 #'                                   batch column.
-#'   \item \code{meta_batch2_column}: A character string specifying the second 
-#'                                    meta batch column (the limma function 
-#'                                    removeBatchEffect supports a maximum of 
+#'   \item \code{meta_batch2_column}: A character string specifying the second
+#'                                    meta batch column (the limma function
+#'                                    removeBatchEffect supports a maximum of
 #'                                    two batch columns.)
 #' }
 #' @param datas A list of matrices containing the datasets to be analyzed.
 #' @param datas_descr A description object for the data.
-#' @param metas A list of data frames containing metadata for each dataset in 
+#' @param metas A list of data frames containing metadata for each dataset in
 #' `datas`.
 #' @param designs A character vector of design formulas for the limma analysis.
 #' @param modes A character vector that must have the same length as 'designs'.
 #' For each design formula, you must specify either 'isolated' or 'integrated'.
-#' Isolated means limma determines the results for each level using only the 
+#' Isolated means limma determines the results for each level using only the
 #' data from that level. Integrated means limma determines the results for all
 #' levels using the full dataset (from all levels).
 #' @param spline_test_configs A configuration object for spline tests.
 #' @param report_dir A non-empty string specifying the report directory.
-#' @param adj_pthresholds A numeric vector of p-value thresholds for 
+#' @param adj_pthresholds A numeric vector of p-value thresholds for
 #' significance determination.
 #' @param rna_seq_datas A list of RNA-seq data objects, such as the voom object
 #' derived from the limma::voom function.
 #' @param time_unit A character string specifying the time unit label for plots.
-#' @param padjust_method A character string specifying the method for p-value 
+#' @param padjust_method A character string specifying the method for p-value
 #' adjustment.
 #'
 #' @return Returns a list of plots generated from the limma analysis results.
-#'         Each element in the list corresponds to a different combination of 
+#'         Each element in the list corresponds to a different combination of
 #'         hyperparameters.
-#' 
+#'
 #' @importFrom here here
 #'
 #' @export
 #'
 screen_limma_hyperparams <- function(
-    splineomics,  # SplineOmics object
-    datas, 
+    splineomics, # SplineOmics object
+    datas,
     datas_descr,
-    metas, 
-    designs, 
+    metas,
+    designs,
     modes,
     spline_test_configs,
     report_dir = here::here(),
     adj_pthresholds = c(0.05),
     rna_seq_datas = NULL,
-    time_unit = "min",    # For the plot labels
-    padjust_method = "BH"
-    ) {
-  
-  if (is.null(rna_seq_datas)) {  # Set the default value.
-    rna_seq_datas <- vector("list", length(datas)) 
+    time_unit = "min", # For the plot labels
+    padjust_method = "BH") {
+  if (is.null(rna_seq_datas)) { # Set the default value.
+    rna_seq_datas <- vector("list", length(datas))
   }
 
   report_dir <- normalizePath(
     report_dir,
     mustWork = FALSE
   )
-  
+
   check_splineomics_elements(
     splineomics = splineomics,
     func_type = "screen_limma_hyperparams"
@@ -88,7 +86,7 @@ screen_limma_hyperparams <- function(
   check_null_elements(args)
   input_control <- InputControl$new(args)
   input_control$auto_validate()
-  
+
   report_info <- splineomics[["report_info"]]
   meta_batch_column <- splineomics[["meta_batch_column"]]
   meta_batch2_column <- splineomics[["meta_batch2_column"]]
@@ -96,59 +94,59 @@ screen_limma_hyperparams <- function(
 
   feature_names <- rownames(datas[[1]])
 
-  top_tables_combos <- 
+  top_tables_combos <-
     get_limma_combos_results(
-      datas = datas, 
+      datas = datas,
       rna_seq_datas = rna_seq_datas,
-      metas = metas, 
-      designs = designs, 
-      modes = modes, 
-      condition = condition, 
+      metas = metas,
+      designs = designs,
+      modes = modes,
+      condition = condition,
       spline_test_configs = spline_test_configs,
-      feature_names = feature_names, 
-      adj_pthresholds = adj_pthresholds, 
+      feature_names = feature_names,
+      adj_pthresholds = adj_pthresholds,
       padjust_method = padjust_method
-      )
+    )
 
-  combo_pair_plots <- 
+  combo_pair_plots <-
     plot_limma_combos_results(
-      top_tables_combos = top_tables_combos, 
-      datas = datas, 
+      top_tables_combos = top_tables_combos,
+      datas = datas,
       metas = metas,
       condition = condition,
       spline_test_configs = spline_test_configs,
       meta_batch_column = meta_batch_column,
       meta_batch2_column = meta_batch2_column,
       time_unit = time_unit
-      )
+    )
 
   timestamp <- format(Sys.time(), "%d_%m_%Y-%H_%M_%S")
-  
+
   report_info$meta_condition <- c(condition)
   report_info$meta_batch <- paste(
-    meta_batch_column, 
+    meta_batch_column,
     meta_batch2_column,
     sep = ", "
-    )
-  
+  )
+
   generate_reports(
-    combo_pair_plots = combo_pair_plots, 
+    combo_pair_plots = combo_pair_plots,
     report_info = report_info,
     report_dir = report_dir,
     timestamp = timestamp
-    )
-  
+  )
+
   # Generates a HTML which shows the overview of the hyperparameters, which
   # are explored in the HTML reports generated with the function above.
   generate_reports_meta(
-    datas_descr = datas_descr, 
-    designs = designs, 
-    modes = modes, 
+    datas_descr = datas_descr,
+    designs = designs,
+    modes = modes,
     spline_test_configs = spline_test_configs,
     report_dir = report_dir,
     timestamp = timestamp
-    )
-  
+  )
+
   print_info_message(
     message_prefix = "limma hyperparameter screening",
     report_dir = report_dir
@@ -162,7 +160,7 @@ screen_limma_hyperparams <- function(
 #' Generate LIMMA Combination Results
 #'
 #' @description
-#' Computes results for various combinations of data, design matrices, and 
+#' Computes results for various combinations of data, design matrices, and
 #' spline configurations using the LIMMA method.
 #'
 #' @param datas A list of matrices.
@@ -175,57 +173,55 @@ screen_limma_hyperparams <- function(
 #' @param spline_test_configs A configuration object for spline tests.
 #' @param feature_names A character vector of feature names.
 #' @param adj_pthresholds A numeric vector with elements > 0 and < 1.
-#' @param padjust_method A single character string specifying the p-adjustment 
+#' @param padjust_method A single character string specifying the p-adjustment
 #' method.
 #'
-#' @return A list of results for each combination of data, design, and spline 
+#' @return A list of results for each combination of data, design, and spline
 #' configuration.
-#'                          
+#'
 #' @importFrom tidyr expand_grid
 #' @importFrom dplyr mutate
 #' @importFrom purrr pmap
 #' @importFrom purrr set_names
 #' @importFrom rlang sym
-#'                          
+#'
 get_limma_combos_results <- function(
-    datas, 
+    datas,
     rna_seq_datas,
-    metas, 
-    designs, 
-    modes, 
-    condition, 
+    metas,
+    designs,
+    modes,
+    condition,
     spline_test_configs,
-    feature_names, 
-    adj_pthresholds, 
-    padjust_method
-    ) {
-
+    feature_names,
+    adj_pthresholds,
+    padjust_method) {
   combos <- tidyr::expand_grid(
     data_index = seq_along(datas),
     design_index = seq_along(designs),
     spline_config_index = seq_along(spline_test_configs$spline_type),
     pthreshold = adj_pthresholds
-  ) |> 
+  ) |>
     dplyr::mutate(id = paste0(
-      "Data_", !!rlang::sym("data_index"), 
-      "_Design_", !!rlang::sym("design_index"), 
-      "_SConfig_", !!rlang::sym("spline_config_index"), 
+      "Data_", !!rlang::sym("data_index"),
+      "_Design_", !!rlang::sym("design_index"),
+      "_SConfig_", !!rlang::sym("spline_config_index"),
       "_PThresh_", !!rlang::sym("pthreshold")
-      ))
-
-    purrr::pmap(
-      combos, 
-      process_combo,
-      datas = datas,
-      rna_seq_datas = rna_seq_datas,
-      metas = metas,
-      designs = designs,
-      modes = modes,
-      condition = condition, 
-      spline_test_configs = spline_test_configs,
-      feature_names = feature_names, 
-      padjust_method = padjust_method
-      ) |> 
+    ))
+
+  purrr::pmap(
+    combos,
+    process_combo,
+    datas = datas,
+    rna_seq_datas = rna_seq_datas,
+    metas = metas,
+    designs = designs,
+    modes = modes,
+    condition = condition,
+    spline_test_configs = spline_test_configs,
+    feature_names = feature_names,
+    padjust_method = padjust_method
+  ) |>
     purrr::set_names(combos$id)
 }
 
@@ -233,7 +229,7 @@ get_limma_combos_results <- function(
 #' Plot limma Combination Results
 #'
 #' @description
-#' Generates plots for pairwise comparisons of hyperparameter combinations 
+#' Generates plots for pairwise comparisons of hyperparameter combinations
 #' using limma results.
 #'
 #' @param top_tables_combos A list of top tables for each combination.
@@ -246,16 +242,16 @@ get_limma_combos_results <- function(
 #'                           column.
 #' @param time_unit A single character, such as s, m, h, or d, specifying the
 #' time_unit that should be used for the plots (s = seconds, m = minutes,
-#' h = hours, d = days). This single character will be converted to a string 
+#' h = hours, d = days). This single character will be converted to a string
 #' that is a little bit more verbose, such as sec in square brackets for s.
 #'
-#' @return A list of results including hit comparison plots and composite 
+#' @return A list of results including hit comparison plots and composite
 #' spline plots for each pair of combinations.
-#'                           
+#'
 #' @importFrom progress progress_bar
 #' @importFrom purrr set_names
 #' @importFrom purrr map
-#'                           
+#'
 plot_limma_combos_results <- function(
     top_tables_combos,
     datas,
@@ -264,56 +260,53 @@ plot_limma_combos_results <- function(
     spline_test_configs,
     meta_batch_column,
     meta_batch2_column,
-    time_unit = time_unit
-    ) {
-
+    time_unit = time_unit) {
   names_extracted <- regmatches(
     names(top_tables_combos),
-    regexpr("Data_\\d+_Design_\\d+",
-            names(top_tables_combos)
-            )
+    regexpr(
+      "Data_\\d+_Design_\\d+",
+      names(top_tables_combos)
     )
-  
+  )
+
   combos_separated <- lapply(unique(names_extracted), function(id) {
     top_tables_combos[names_extracted == id]
   })
-  
+
   names(combos_separated) <- unique(names_extracted)
-  
+
   combos <- names(combos_separated)
   combo_pairs <- combn(combos, 2, simplify = FALSE)
 
-  print("Generating the plots for all pairwise hyperparams-combo comparisons")
+  message("Generating the plots for all pairwise hyperparams-combo comparisons")
   progress_ticks <- length(combo_pairs)
   pb <- progress::progress_bar$new(
-    total = progress_ticks, 
+    total = progress_ticks,
     format = "[:bar] :percent"
-    )
-  
+  )
+
   pb$tick(0)
-  
+
   time_unit_label <- paste0("[", time_unit, "]")
-  
+
   if (!is.null(meta_batch_column)) {
-    
     # Takes the shortcut approach without the specific design_matrix
     datas <- remove_batch_effect(
-      datas = datas, 
+      datas = datas,
       metas = metas,
       condition = condition,
       meta_batch_column = meta_batch_column,
       meta_batch2_column = meta_batch2_column
-      )
+    )
   }
-  
-  
+
+
   combo_pair_results <- purrr::set_names(
     purrr::map(combo_pairs, function(pair) {
-
       combo_pair <- combos_separated[pair]
 
       hitcomp <- gen_hitcomp_plots(combo_pair)
-      
+
       composites <- purrr::map(combo_pair, function(combo) {
         composite <- gen_composite_spline_plots(
           combo,
@@ -321,23 +314,24 @@ plot_limma_combos_results <- function(
           metas,
           spline_test_configs,
           time_unit_label
-          )
+        )
       })
       pb$tick()
       list(
         hitcomp = hitcomp,
         composites = composites
-        )
-    }
-    ), purrr::map(
-        combo_pairs,
-        function(pair) paste(
+      )
+    }), purrr::map(
+      combo_pairs,
+      function(pair) {
+        paste(
           pair[1],
           "vs",
           pair[2],
           sep = "_"
-          )
-      )
+        )
+      }
+    )
   )
   return(combo_pair_results)
 }
@@ -354,25 +348,27 @@ plot_limma_combos_results <- function(
 #' @param timestamp A timestamp to include in the reports.
 #'
 #' @return No return value, called for side effects.
-#'                  
+#'
 #' @importFrom progress progress_bar
 #' @importFrom purrr imap
-#'                  
+#'
 generate_reports <- function(
-    combo_pair_plots, 
+    combo_pair_plots,
     report_info,
     report_dir,
-    timestamp
-    ) {
-  
-  print("Building .html reports for all pairwise hyperparams-combo comparisons")
+    timestamp) {
+  message(
+    "Building .html reports for all pairwise hyperparams-combo comparisons"
+  )
   progress_ticks <- length(combo_pair_plots)
-  pb <- progress::progress_bar$new(total = progress_ticks, 
-                                   format = "[:bar] :percent")
-  
-  result <- purrr::imap(combo_pair_plots, ~{
+  pb <- progress::progress_bar$new(
+    total = progress_ticks,
+    format = "[:bar] :percent"
+  )
+
+  result <- purrr::imap(combo_pair_plots, ~ {
     process_combo_pair(.x, .y, report_info, report_dir, timestamp)
-    pb$tick()  
+    pb$tick()
   })
 }
 
@@ -380,7 +376,7 @@ generate_reports <- function(
 #' Generate Reports Metadata
 #'
 #' @description
-#' Generates a metadata table for the LIMMA hyperparameter screen reports and 
+#' Generates a metadata table for the LIMMA hyperparameter screen reports and
 #' saves it as an HTML file with custom styling.
 #'
 #' @param datas_descr A description object for the data.
@@ -391,51 +387,49 @@ generate_reports <- function(
 #' @param timestamp A timestamp to include in the report filename.
 #'
 #' @return No return value, called for side effects.
-#'                       
+#'
 #' @importFrom here here
-#'                       
+#'
 generate_reports_meta <- function(
-    datas_descr, 
-    designs, 
-    modes, 
+    datas_descr,
+    designs,
+    modes,
     spline_test_configs,
     report_dir,
-    timestamp
-    ) {
-  
+    timestamp) {
   formatted_spline_configs <- flatten_spline_configs(spline_test_configs)
-  
+
   # Combine the hyperparameters and their descriptions into two vectors
   hyperparameters <- c(
-    paste0("Data_", seq_along(datas_descr)), 
+    paste0("Data_", seq_along(datas_descr)),
     paste0("Design_", seq_along(designs)),
     paste0("SConfig_", seq_along(formatted_spline_configs))
-    )
+  )
   descriptions <- c(
     datas_descr,
-    paste(designs, "(mode:", modes, ")"), 
+    paste(designs, "(mode:", modes, ")"),
     unlist(formatted_spline_configs)
-    )
-  
+  )
+
   table_df <- data.frame(
-    hyperparameter = hyperparameters, 
-    description = descriptions, 
+    hyperparameter = hyperparameters,
+    description = descriptions,
     stringsAsFactors = FALSE
-    )
-  
+  )
+
   filename <- sprintf("hyperparams_screen_meta_table_%s.html", timestamp)
   file_path <- here::here(report_dir, filename)
-  
+
   custom_css <- "
     <style>
     table {
       font-size: 32px;
-      margin-left: auto; 
+      margin-left: auto;
       margin-right: auto;
     }
     th, td {
       border: 1px solid #cccccc;
-      padding: 12px; 
+      padding: 12px;
       text-align: left;
     }
     th {
@@ -463,17 +457,17 @@ generate_reports_meta <- function(
       }
     </style>
     "
-  
+
   # Start HTML table with the header
   html_table <- "<table>"
   html_table <- paste0(html_table, "<thead><tr>")
-  
+
   # Add column headers
   for (header in colnames(table_df)) {
     html_table <- paste0(html_table, "<th>", header, "</th>")
   }
   html_table <- paste0(html_table, "</tr></thead><tbody>")
-  
+
   # Add table rows
   for (i in 1:nrow(table_df)) {
     html_table <- paste0(html_table, "<tr>")
@@ -482,21 +476,21 @@ generate_reports_meta <- function(
     }
     html_table <- paste0(html_table, "</tr>")
   }
-  
+
   # Close the table body and the table tag
   html_table <- paste0(html_table, "</tbody></table>")
-  
+
   html_table <- paste0(custom_css, html_table)
-  
+
   writeLines(
     html_table,
     con = file_path
-    )
-  
-  cat(
+  )
+
+  message(
     "Meta table for the limma hyperparameter screen reports saved to:",
     file_path, "\n"
-    )
+  )
 }
 
 
@@ -507,12 +501,12 @@ generate_reports_meta <- function(
 #' Process Combination
 #'
 #' @description
-#' Processes a single combination of data, design, spline configuration, and 
+#' Processes a single combination of data, design, spline configuration, and
 #' p-threshold to generate LIMMA spline results.
 #'
 #' @param data_index Index of the data in the datas list.
 #' @param design_index Index of the design in the designs list.
-#' @param spline_config_index Index of the spline configuration in the 
+#' @param spline_config_index Index of the spline configuration in the
 #' spline_test_configs list.
 #' @param pthreshold The p-value threshold for significance.
 #' @param datas A list of data matrices
@@ -524,21 +518,21 @@ generate_reports_meta <- function(
 #' @param condition A single character string specifying the condition.
 #' @param spline_test_configs A configuration object for spline tests.
 #' @param feature_names A character vector of feature names.
-#' @param padjust_method A single character string specifying the p-adjustment 
+#' @param padjust_method A single character string specifying the p-adjustment
 #' method.
 #' @param ... Additional arguments.
 #'
 #' @return A list of top tables from the LIMMA spline analysis.
 #'
 #' @seealso
-#' \code{\link{create_spline_params}}, 
+#' \code{\link{create_spline_params}},
 #' \code{\link{run_limma_splines}}
-#' 
+#'
 process_combo <- function(
-    data_index, 
-    design_index, 
-    spline_config_index, 
-    pthreshold, 
+    data_index,
+    design_index,
+    spline_config_index,
+    pthreshold,
     datas,
     rna_seq_datas,
     metas,
@@ -548,53 +542,51 @@ process_combo <- function(
     spline_test_configs,
     feature_names,
     padjust_method,
-    ...
-    ) {
-
+    ...) {
   data <- datas[[data_index]]
   rna_seq_data <- rna_seq_datas[[data_index]]
   meta <- metas[[data_index]]
   design <- designs[[design_index]]
   mode <- modes[[design_index]]
-  
+
   spline_params <- create_spline_params(
-    spline_test_configs = spline_test_configs, 
-    index = spline_config_index, 
-    meta = meta, 
-    condition = condition, 
+    spline_test_configs = spline_test_configs,
+    index = spline_config_index,
+    meta = meta,
+    condition = condition,
     mode = mode
-    )
+  )
 
   # Because either DoF or knots are specified, and only optionally bknots
   # If they are not specified, their value is NA.
   spline_params <- Filter(
     is_not_na,
     spline_params
-    )
-  
+  )
+
   rownames(data) <- feature_names
-  
+
   splineomics <- create_splineomics(
     data = data,
     rna_seq_data = rna_seq_data,
     meta = meta,
     design = design,
     mode = mode,
-    spline_params = spline_params, 
+    spline_params = spline_params,
     condition = condition,
   )
 
   # suppressMessages will not affect warnings and error messages!
   result <- suppressMessages(run_limma_splines(splineomics))
 
-  result[['limma_splines_result']][['time_effect']]
+  result[["limma_splines_result"]][["time_effect"]]
 }
 
 
 #' Remove Batch Effect
 #'
 #' @description
-#' Removes batch effects from the data matrices using the specified batch 
+#' Removes batch effects from the data matrices using the specified batch
 #' column in the metadata.
 #'
 #' @param datas A list of matrices.
@@ -603,42 +595,40 @@ process_combo <- function(
 #' @param meta_batch2_column A character string specifying the second meta batch
 #'                           column.
 #' @param condition A character vector of length 1, specifying the column name
-#'                  of the meta dataframe, that contains the levels that 
+#'                  of the meta dataframe, that contains the levels that
 #'                  separate the experiment.
 #'
 #' @return A list of matrices with batch effects removed where applicable.
 #'
 #' @seealso
 #' \link[limma]{removeBatchEffect}
-#' 
+#'
 #' @importFrom limma removeBatchEffect
 #'
 remove_batch_effect <- function(
-    datas, 
+    datas,
     metas,
     meta_batch_column,
     meta_batch2_column,
-    condition
-    ) {
-  
+    condition) {
   results <- list()
   for (i in seq_along(datas)) {
     data <- datas[[i]]
     meta <- metas[[i]]
-    
+
     # This is the shortcut approach. It would be better to remove the batch
     # effect using the design_matrix, but it is challenging to program this here
-    
+
     args <- list(
       x = data,
       batch = meta[[meta_batch_column]],
       group = meta[[condition]]
     )
-    
+
     if (!is.null(meta_batch2_column)) {
       args$batch2 <- meta[[meta_batch2_column]]
     }
-    
+
     batch_corrected_data <- do.call(removeBatchEffect, args)
     results[[i]] <- batch_corrected_data
   }
@@ -651,24 +641,24 @@ remove_batch_effect <- function(
 #' @description
 #' Creates a new hit comparison object with specified condition names.
 #'
-#' @param cond1name A character string for the first condition name 
+#' @param cond1name A character string for the first condition name
 #' (max length 25).
-#' @param cond2name A character string for the second condition name 
+#' @param cond2name A character string for the second condition name
 #' (max length 25).
 #'
-#' @return An object of class "hitcomp" containing empty data lists 
+#' @return An object of class "hitcomp" containing empty data lists
 #' and condition names.
-#' 
+#'
 hc_new <- function(
-    cond1name = "Condition 1", 
-    cond2name = "Condition 2"
-    ) {
-  
-  if (!is.character(cond1name) || nchar(cond1name) > 25) 
+    cond1name = "Condition 1",
+    cond2name = "Condition 2") {
+  if (!is.character(cond1name) || nchar(cond1name) > 25) {
     stop("cond1name max len = 25")
-  if (!is.character(cond2name) || nchar(cond2name) > 25) 
+  }
+  if (!is.character(cond2name) || nchar(cond2name) > 25) {
     stop("cond2name max len = 25")
-  
+  }
+
   res <- list(
     data = list(
       list(),
@@ -688,30 +678,29 @@ hc_new <- function(
 #'
 #' @param hc_obj An object of class "hitcomp".
 #' @param top_table A dataframe containing the top table data.
-#' @param params_id A character string identifying the parameters 
+#' @param params_id A character string identifying the parameters
 #' (max length 70).
-#' @param condition An integer (1 or 2) specifying the condition to which the 
+#' @param condition An integer (1 or 2) specifying the condition to which the
 #' data belongs.
 #' @param threshold A numeric value specifying the adjusted p-value threshold.
 #'
 #' @return The updated hit comparison object.
-#'              
+#'
 hc_add <- function(
-    hc_obj, 
-    top_table, 
-    params_id, condition = 1, 
-    threshold = 0.05
-    ){
-  
+    hc_obj,
+    top_table,
+    params_id, condition = 1,
+    threshold = 0.05) {
   # Validate input
   if (!is.data.frame(top_table)) stop("top_table must be a dataframe.")
   if (!is.character(params_id) || nchar(params_id) > 70) {
-    stop(paste("max len = 70. params_id '", params_id, "' is too long.", 
-               sep = ""))
+    stop(paste("max len = 70. params_id '", params_id, "' is too long.",
+      sep = ""
+    ))
   }
   if (!(condition %in% c(1, 2))) stop("condition must be either 1 or 2.")
   if (!is.numeric(threshold)) stop("threshold must be numeric.")
-  
+
   # Create the list to append
   new_entry <- list(
     DataFrame = top_table,
@@ -720,12 +709,12 @@ hc_add <- function(
       adj_p_value_threshold = threshold
     )
   )
-  
+
   # Append to the appropriate global list in the package environment
   hc_obj$data[[condition]] <- append(
     hc_obj$data[[condition]],
     list(new_entry)
-    )
+  )
   return(hc_obj)
 }
 
@@ -733,54 +722,54 @@ hc_add <- function(
 #' Generate Venn Heatmap
 #'
 #' @description
-#' Creates a Venn heatmap to visualize the overlap of hits between two 
+#' Creates a Venn heatmap to visualize the overlap of hits between two
 #' conditions stored in a hit comparison object.
 #'
-#' @param hc_obj An object of class "hitcomp" containing hit data for two 
+#' @param hc_obj An object of class "hitcomp" containing hit data for two
 #' conditions.
 #'
 #' @return A list containing the Venn heatmap plot and the number of hits.
 #'
 #' @seealso
 #' \code{\link{store_hits}}, \link[pheatmap]{pheatmap}
-#' 
+#'
 #' @importFrom tidyr expand_grid unnest_longer replace_na pivot_wider
 #' @importFrom tibble enframe column_to_rownames
 #' @importFrom dplyr mutate select left_join
 #' @importFrom pheatmap pheatmap
 #' @importFrom purrr flatten_chr
-#' 
+#'
 hc_vennheatmap <- function(hc_obj) {
-
   hits_1 <- store_hits(hc_obj$data[[1]])
   hits_2 <- store_hits(hc_obj$data[[2]])
 
   color_palette <- c("white", "blue", "yellow", "green")
   breaks <- c(-0.5, 0.5, 1.5, 2.5, 3.5)
-  
+
   # Check if all elements in hits_1 and hits_2 are character(0)
-  no_hits_1 <- all(sapply(hits_1, function(x) length(x) == 0))
-  no_hits_2 <- all(sapply(hits_2, function(x) length(x) == 0))
-  
+  no_hits_1 <- all(vapply(hits_1, function(x) length(x) == 0, logical(1)))
+  no_hits_2 <- all(vapply(hits_2, function(x) length(x) == 0, logical(1)))
+
   # If both have no hits, create a placeholder plot for no hits
   if (no_hits_1 && no_hits_2) {
     # Create a simple empty matrix for the plot
     venn_matrix <- matrix(
       0,
       nrow = 1,
-      ncol = 1, 
+      ncol = 1,
       dimnames = list("No Hits", "No Hits")
-      )
-    
+    )
+
     plot_title <- sprintf(
-      "No hits found for %s and %s", 
-      hc_obj$condition_names[[1]], 
+      "No hits found for %s and %s",
+      hc_obj$condition_names[[1]],
       hc_obj$condition_names[[2]]
-      )
+    )
 
     # Continue with your plotting code
     vennheatmap_plot <- pheatmap::pheatmap(
-      venn_matrix, color = color_palette,
+      venn_matrix,
+      color = color_palette,
       breaks = breaks,
       cluster_cols = FALSE,
       cluster_rows = FALSE,
@@ -791,7 +780,7 @@ hc_vennheatmap <- function(hc_obj) {
       silent = TRUE,
       fontsize = 6
     )
-    
+
     return(list(vennheatmap = vennheatmap_plot, nrhits = 0))
   }
 
@@ -805,39 +794,44 @@ hc_vennheatmap <- function(hc_obj) {
       names(hits_2)
     )
   )
-  
+
   df_1 <-
-    hits_1 |> 
-    tibble::enframe("params", "features") |> 
+    hits_1 |>
+    tibble::enframe("params", "features") |>
     tidyr::unnest_longer(!!rlang::sym("features")) |>
     dplyr::mutate(x1 = 1)
-  
+
   df_2 <-
-    hits_2 |> 
-    tibble::enframe("params", "features") |> 
+    hits_2 |>
+    tibble::enframe("params", "features") |>
     tidyr::unnest_longer(!!rlang::sym("features")) |>
     dplyr::mutate(x2 = 2)
-  
-  venn_matrix <- 
-    df |> 
-    dplyr::left_join(df_1, by = c("features", "params")) |> 
-    dplyr::left_join(df_2, by = c("features", "params")) |> 
-    tidyr::replace_na(list(x1 = 0, x2 = 0)) |> 
-    dplyr::mutate(x = !!rlang::sym("x1") + !!rlang::sym("x2")) |> 
+
+  venn_matrix <-
+    df |>
+    dplyr::left_join(df_1, by = c("features", "params")) |>
+    dplyr::left_join(df_2, by = c("features", "params")) |>
+    tidyr::replace_na(list(x1 = 0, x2 = 0)) |>
+    dplyr::mutate(x = !!rlang::sym("x1") + !!rlang::sym("x2")) |>
     dplyr::select(!c(!!rlang::sym("x1"), !!rlang::sym("x2"))) |>
-    tidyr::pivot_wider(names_from = !!rlang::sym("params"), 
-                       values_from = !!rlang::sym("x")) |> 
-    tibble::column_to_rownames("features") |> 
+    tidyr::pivot_wider(
+      names_from = !!rlang::sym("params"),
+      values_from = !!rlang::sym("x")
+    ) |>
+    tibble::column_to_rownames("features") |>
     as.matrix()
 
   venn_matrix <- venn_matrix[, order(colnames(venn_matrix))]
-  
-  plot_title <- sprintf("0 -> none, 1 -> %s, 2 -> %s, 3 -> both", 
-                        hc_obj$condition_names[[1]],
-                        hc_obj$condition_names[[2]])
-  
+
+  plot_title <- sprintf(
+    "0 -> none, 1 -> %s, 2 -> %s, 3 -> both",
+    hc_obj$condition_names[[1]],
+    hc_obj$condition_names[[2]]
+  )
+
   vennheatmap_plot <- pheatmap::pheatmap(
-    venn_matrix, color = color_palette,
+    venn_matrix,
+    color = color_palette,
     breaks = breaks,
     cluster_cols = FALSE,
     cluster_rows = TRUE,
@@ -847,64 +841,62 @@ hc_vennheatmap <- function(hc_obj) {
     main = plot_title,
     silent = TRUE,
     fontsize = 6
-    )
-  
+  )
+
   return(
     list(
-      vennheatmap = vennheatmap_plot, 
+      vennheatmap = vennheatmap_plot,
       nrhits = nrow(venn_matrix)
-      )
     )
+  )
 }
 
 
 #' Generate Barplot for Hit Comparison Object
 #'
 #' @description
-#' Creates a barplot to visualize the number of significant features for each 
+#' Creates a barplot to visualize the number of significant features for each
 #' parameter set in the hit comparison object.
 #'
-#' @param hc_obj An object of class "hitcomp" containing hit data for two 
+#' @param hc_obj An object of class "hitcomp" containing hit data for two
 #' conditions.
 #'
 #' @return A ggplot2 object representing the barplot.
 #'
 #' @seealso
 #' \code{\link{store_hits}}, \code{\link{ggplot2}}
-#' 
+#'
 #' @importFrom ggplot2 geom_col geom_text facet_wrap scale_y_continuous aes
 #' @importFrom ggplot2 theme_minimal element_text element_blank expansion xlab
 #' @importFrom ggplot2 theme
-#' @importFrom purrr map_int set_names 
+#' @importFrom purrr map_int set_names
 #' @importFrom tibble enframe
 #' @importFrom dplyr bind_rows vars
-#' 
+#'
 hc_barplot <- function(hc_obj) {
-  
-  plot_data <- 
+  plot_data <-
     list(
-      store_hits(hc_obj$data[[1]]) |> 
-        purrr::map_int(length) |> 
+      store_hits(hc_obj$data[[1]]) |>
+        purrr::map_int(length) |>
         tibble::enframe("params", "n_hits"),
-      store_hits(hc_obj$data[[2]]) |> 
-        purrr::map_int(length) |> 
+      store_hits(hc_obj$data[[2]]) |>
+        purrr::map_int(length) |>
         tibble::enframe("params", "n_hits")
-    ) |> 
-    purrr::set_names(hc_obj$condition_names) |> 
+    ) |>
+    purrr::set_names(hc_obj$condition_names) |>
     dplyr::bind_rows(.id = "condition")
-  
+
   ggplot2::ggplot(
     plot_data,
     aes(
-      x = !!rlang::sym("params"), 
+      x = !!rlang::sym("params"),
       y = !!rlang::sym("n_hits")
-      )
-    ) +
+    )
+  ) +
     geom_col() +
     geom_text(
       aes(label = !!rlang::sym("n_hits")),
       vjust = -0.5,
-      
     ) +
     xlab("Parameters") +
     scale_y_continuous(
@@ -919,7 +911,7 @@ hc_barplot <- function(hc_obj) {
         vjust = 1,
         hjust = 1,
         size = 4
-        ),
+      ),
       panel.grid.major.x = element_blank()
     ) +
     NULL
@@ -929,133 +921,129 @@ hc_barplot <- function(hc_obj) {
 #' Generate Hit Comparison Plots
 #'
 #' @description
-#' Generates Venn heatmap and barplot for a given combination pair of top 
+#' Generates Venn heatmap and barplot for a given combination pair of top
 #' tables.
 #'
 #' @param combo_pair A list containing two combinations of top tables.
 #'
-#' @return A list containing the Venn heatmap plot, the number of hits divided 
+#' @return A list containing the Venn heatmap plot, the number of hits divided
 #' by 16, the barplot, and a length indicator for the barplot.
 #'
 #' @seealso
-#' \code{\link{hc_new}}, \code{\link{hc_add}}, \code{\link{hc_vennheatmap}}, 
+#' \code{\link{hc_new}}, \code{\link{hc_add}}, \code{\link{hc_vennheatmap}},
 #' \code{\link{hc_barplot}}
-#' 
+#'
 gen_hitcomp_plots <- function(combo_pair) {
-  
   combo_pair_combined <- c(
     combo_pair[[1]],
     combo_pair[[2]]
-    )
-  
+  )
+
   hitcomp <- hc_new(
     names(combo_pair)[1],
     names(combo_pair)[2]
-    )
-  
-  combo_names <- sapply(names(combo_pair_combined), function(name) {
+  )
+
+  combo_names <- vapply(names(combo_pair_combined), function(name) {
     # Using sub to extract everything from 'DoF' onwards
     match <- sub(".*(SConfig.*)$", "\\1", name)
     return(match)
-  })
-  
+  }, character(1))
+
   condition_nr <- 1L
   for (i in 1:length(combo_pair_combined)) {
     combo_top_tables <- combo_pair_combined[[i]]
     combo_name <- combo_names[i]
     # Extract the part where DoF and p-value threshold are written.
     pthreshold <- as.numeric(sub(".*_([^_]+)$", "\\1", combo_name))
-    
-    if (i == length(combo_pair_combined)/2 + 1) {
+
+    if (i == length(combo_pair_combined) / 2 + 1) {
       condition_nr <- 2L
     }
-    
+
     for (top_table_name in names(combo_top_tables)) {
       top_table <- combo_top_tables[[top_table_name]]
       id <- paste(
         top_table_name,
         combo_name,
         sep = "_"
-        )
+      )
       hitcomp <- hc_add(
         hitcomp,
         top_table,
         id,
         condition_nr,
         pthreshold
-        )
+      )
     }
   }
 
   result <- hc_vennheatmap(hitcomp)
   barplot <- hc_barplot(hitcomp)
-  
+
   list(
-    vennheatmap = result$vennheatmap, 
-    vennheatmap_len = c(as.integer(result$nrhits/16)),
+    vennheatmap = result$vennheatmap,
+    vennheatmap_len = c(as.integer(result$nrhits / 16)),
     barplot = barplot,
     barplot_len = c(2L)
   )
 }
 
- 
+
 #' Generate Composite Spline Plots
 #'
 #' @description
-#' Creates composite spline plots for significant and non-significant features 
+#' Creates composite spline plots for significant and non-significant features
 #' across multiple levels within a condition.
-#' One half of one condition comparison HTML 
+#' One half of one condition comparison HTML
 #' (composite spline plots for one 'condition' inside one condition comparison)
 #'
 #' @param internal_combos A list containing combinations of top tables.
 #' @param datas A list of matrices.
 #' @param metas A list of metadata corresponding to the data matrices.
 #' @param spline_test_configs A configuration object for spline tests.
-#' @param time_unit_label A character string specifying the time unit label 
+#' @param time_unit_label A character string specifying the time unit label
 #' for plots.
 #'
 #' @return A list containing the composite spline plots and their lengths.
 #'
 #' @seealso
 #' \code{\link{plot_composite_splines}}
-#' 
+#'
 #' @importFrom utils tail
-#' 
+#'
 gen_composite_spline_plots <- function(
-    internal_combos, 
-    datas, 
+    internal_combos,
+    datas,
     metas,
     spline_test_configs,
-    time_unit_label
-    ) {
-  
+    time_unit_label) {
   plots <- list()
   plots_len <- integer(0)
-  
+
   # all the combos of DoF and adj. p-value threshold for one condition
   for (combo_name in names(internal_combos)) {
     top_tables_levels <- internal_combos[[combo_name]]
-    
+
     data <- datas[[as.integer(strsplit(combo_name, "_")[[1]][2])]]
     meta <- metas[[as.integer(strsplit(combo_name, "_")[[1]][2])]]
-    
-    pthresh <- as.numeric(utils::tail(strsplit(combo_name, "_")[[1]], 1)) 
-    
-    # for one given combo of DoF and adj. p-value threshold, within one 
+
+    pthresh <- as.numeric(utils::tail(strsplit(combo_name, "_")[[1]], 1))
+
+    # for one given combo of DoF and adj. p-value threshold, within one
     # condition, there are multiple levels (for example exp and stat)
     for (top_table_name in names(top_tables_levels)) {
       top_table <- top_tables_levels[[top_table_name]]
-      
+
       parts <- strsplit(top_table_name, "_")[[1]]
       condition <- parts[1]
       level <- parts[2]
       meta_level <- meta[meta[[condition]] == level, ]
       data_level <- data[, which(meta[[condition]] == level)]
-      
-      # Show 6 significant and 6 non significant splines, each within a 
+
+      # Show 6 significant and 6 non significant splines, each within a
       # composite plot (the 6 individual plots combined with patchwork)
-      for (type in c('significant', 'not_significant')) {
-        
+      for (type in c("significant", "not_significant")) {
         if (type == "significant") {
           filtered_rows <- top_table[top_table$adj.P.Val < pthresh, ]
           selected_rows <- if (nrow(filtered_rows) > 6) {
@@ -1073,49 +1061,49 @@ gen_composite_spline_plots <- function(
           }
           indices <- as.integer(selected_rows$feature_nr)
         }
-        
-        # One composite spline plot for each unique combo between DoF and 
+
+        # One composite spline plot for each unique combo between DoF and
         # adj. p-value threshold (for one level within one condition)
         # This fun just generates a single composite plot
         result <- plot_composite_splines(
-          data_level, 
+          data_level,
           meta_level,
           spline_test_configs,
-          top_table, 
-          combo_name, 
+          top_table,
+          combo_name,
           indices,
           type,
           time_unit_label
-          )
-        
+        )
+
         if (is.list(result)) {
           plot_name <- paste(
             combo_name,
             top_table_name,
             type,
             sep = "_"
-            )
+          )
           plots[[plot_name]] <- result$composite_plot
           plots_len <- c(plots_len, result$composite_plot_len)
         }
       }
     }
   }
-  
+
   list(
-    composite_plots = plots, 
+    composite_plots = plots,
     composite_plots_len = plots_len
-    )
+  )
 }
 
 
 #' Process Combination Pair
 #'
 #' @description
-#' Processes a combination pair to generate plots and compile them into an 
+#' Processes a combination pair to generate plots and compile them into an
 #' HTML report.
 #'
-#' @param combo_pair A list containing hit comparison and composite spline 
+#' @param combo_pair A list containing hit comparison and composite spline
 #' plots.
 #' @param combo_pair_name A character string for naming the combination pair.
 #' @param report_info An object containing report information.
@@ -1126,60 +1114,58 @@ gen_composite_spline_plots <- function(
 #'
 #' @seealso
 #' \code{\link{generate_report_html}}
-#' 
+#'
 process_combo_pair <- function(
-    combo_pair, 
-    combo_pair_name, 
+    combo_pair,
+    combo_pair_name,
     report_info,
     report_dir,
-    timestamp
-    ) {
-
+    timestamp) {
   plots <- list()
   plots_len <- integer(0)
-  
+
   hitcomp <- combo_pair$hitcomp
-  
+
   plots[[1]] <- hitcomp$vennheatmap
   plots[[2]] <- hitcomp$vennheatmap
   plots[[3]] <- hitcomp$barplot
-  
+
   plots_len <- c(
-    plots_len, 
-    2, 
-    hitcomp$vennheatmap_len, 
+    plots_len,
+    2,
+    hitcomp$vennheatmap_len,
     hitcomp$barplot_len
-    )
-  
+  )
+
   composites <- combo_pair$composites
-  
+
   for (composite in composites) {
     for (plot in composite$composite_plots) {
       plots[[length(plots) + 1]] <- plot
     }
-    
+
     for (len in composite$composite_plots_len) {
       plots_len <- c(plots_len, len)
     }
   }
-  
+
   # Function is in splinetime_general_fun.R
   generate_report_html(
-    plots = plots, 
-    plots_sizes = plots_len, 
+    plots = plots,
+    plots_sizes = plots_len,
     report_info = report_info,
     report_type = "screen_limma_hyperparams",
     filename = combo_pair_name,
     timestamp = timestamp,
     report_dir = report_dir
-    )
+  )
 }
 
 
 #' Create Spline Parameters
 #'
 #' @description
-#' Generates spline parameters based on the configuration, metadata, condition, 
+#' Generates spline parameters based on the configuration, metadata, condition,
 #' and mode.
 #'
 #' @param spline_test_configs A configuration object for spline tests.
@@ -1192,24 +1178,22 @@ process_combo_pair <- function(
 #'
 #' @seealso
 #' \code{\link{process_config_column}}
-#' 
+#'
 create_spline_params <- function(
-    spline_test_configs, 
-    index, 
-    meta, 
-    condition, 
-    mode
-    ) {
-  
-  num_levels <- length(unique(meta[[condition]]))  
-  
+    spline_test_configs,
+    index,
+    meta,
+    condition,
+    mode) {
+  num_levels <- length(unique(meta[[condition]]))
+
   result <- lapply(
-    spline_test_configs, 
-    process_config_column, 
-    index, 
-    num_levels, 
+    spline_test_configs,
+    process_config_column,
+    index,
+    num_levels,
     mode
-    )
+  )
   return(result)
 }
 
@@ -1222,34 +1206,32 @@ create_spline_params <- function(
 #' @param spline_configs A list of spline configuration objects.
 #'
 #' @return A list of formatted strings representing each spline configuration.
-#' 
+#'
 flatten_spline_configs <- function(spline_configs) {
-  
   formatted_layers <- list()
-  
+
   names_of_spline_configs <- names(spline_configs)
   for (i in 1:length(spline_configs$spline_type)) {
     ith_elements <- lapply(spline_configs, function(x) x[[i]])
-    
+
     formatted_strings <- list()
-    
+
     Map(function(name, element) {
-      formatted_strings <<- c(
+      formatted_strings <- c(
         formatted_strings,
         paste0(
           name,
-          " = ", 
+          " = ",
           paste(
             element,
-            collapse = ", ")
+            collapse = ", "
           )
         )
-      
+      )
     }, names_of_spline_configs, ith_elements)
-    
+
     final_string <- paste(formatted_strings, collapse = ", ")
-    formatted_layers[[length(formatted_layers) + 1]] <- final_string 
-    
+    formatted_layers[[length(formatted_layers) + 1]] <- final_string
   }
   formatted_layers
 }
@@ -1265,11 +1247,10 @@ flatten_spline_configs <- function(spline_configs) {
 #'
 #' @param x An atomic vector or any other object.
 #'
-#' @return TRUE if the vector contains at least one non-NA value or if the 
+#' @return TRUE if the vector contains at least one non-NA value or if the
 #' object is not atomic; FALSE otherwise.
-#' 
+#'
 is_not_na <- function(x) {
-  
   if (is.atomic(x)) {
     return(!all(is.na(x)))
   } else {
@@ -1281,32 +1262,30 @@ is_not_na <- function(x) {
 #' Process Configuration Column
 #'
 #' @description
-#' Processes a configuration column based on the given mode and number of 
+#' Processes a configuration column based on the given mode and number of
 #' levels.
 #'
-#' @param config_column A configuration column from the spline test 
+#' @param config_column A configuration column from the spline test
 #' configurations.
 #' @param index Index of the configuration to process.
 #' @param num_levels Number of unique levels in the metadata condition.
-#' @param mode A character string specifying the mode 
+#' @param mode A character string specifying the mode
 #' ('integrated' or 'isolated').
 #'
 #' @return A vector or list with the processed configuration values.
-#' 
+#'
 process_config_column <- function(
     config_column,
     index,
     num_levels,
-    mode
-    ) {
-
+    mode) {
   if (mode == "integrated") {
     if (is.list(config_column)) {
       config_column[[index]]
     } else {
       config_column[index]
     }
-  } else {     # mode = 'isolated'
+  } else { # mode = 'isolated'
     if (is.list(config_column)) {
       rep(config_column[[index]], num_levels)
     } else {
@@ -1319,21 +1298,20 @@ process_config_column <- function(
 #' Store Hits
 #'
 #' @description
-#' Stores the feature indices for significant hits based on the adjusted p-value 
+#' Stores the feature indices for significant hits based on the adjusted p-value
 #' threshold for each condition.
 #'
-#' @param condition A list containing dataframes and parameters for each 
+#' @param condition A list containing dataframes and parameters for each
 #' condition.
 #'
-#' @return A list where each element is a vector of feature indices that meet 
+#' @return A list where each element is a vector of feature indices that meet
 #' the significance threshold.
-#' 
+#'
 #' @importFrom dplyr pull
-#' 
+#'
 store_hits <- function(condition) {
-  
   hits_cond <- list()
-  
+
   for (item in condition) {
     df <- item$DataFrame
     adj_p_value_treshold <- item$Parameters$adj_p_value_threshold
@@ -1344,7 +1322,7 @@ store_hits <- function(condition) {
       pull(!!sym("feature_nr")) |>
       as.character()
   }
-  
+
   return(hits_cond)
 }
 
@@ -1352,129 +1330,148 @@ store_hits <- function(condition) {
 #' Plot Composite Splines
 #'
 #' @description
-#' Generates composite spline plots for significant and non-significant 
+#' Generates composite spline plots for significant and non-significant
 #' features based on the specified indices.
 #'
 #' @param data A matrix of data values.
 #' @param meta A dataframe containing metadata.
 #' @param spline_test_configs A configuration object for spline tests.
 #' @param top_table A dataframe containing the top table results.
-#' @param top_table_name A character string specifying the name of the 
+#' @param top_table_name A character string specifying the name of the
 #' top table.
 #' @param indices A vector of indices specifying which features to plot.
-#' @param type A character string specifying the type of features ('significant' 
+#' @param type A character string specifying the type of features ('significant'
 #' or 'not_significant').
 #' @param time_unit_label A string shown in the plots as the unit for the time,
 #' such as min or hours.
 #'
-#' @return A list containing the composite plot and its length if plots are 
+#' @return A list containing the composite plot and its length if plots are
 #' generated, FALSE otherwise.
 #'
 #' @seealso
-#' \link[splines]{bs}, \link[splines]{ns}, \link[ggplot2]{ggplot2}, 
+#' \link[splines]{bs}, \link[splines]{ns}, \link[ggplot2]{ggplot2},
 #' \link[patchwork]{wrap_plots}
-#' 
+#'
 #' @importFrom splines ns
-#' @importFrom ggplot2 ggplot geom_point geom_line theme_minimal 
+#' @importFrom ggplot2 ggplot geom_point geom_line theme_minimal
 #' @importFrom ggplot2 scale_x_continuous labs annotate theme
 #' @importFrom patchwork wrap_plots plot_annotation
-#' 
+#'
 plot_composite_splines <- function(
-    data, 
-    meta, 
+    data,
+    meta,
     spline_test_configs,
-    top_table, 
-    top_table_name, 
+    top_table,
+    top_table_name,
     indices,
     type,
-    time_unit_label
-    ) {
-  
+    time_unit_label) {
   plot_list <- list()
-  config_index <- 
-    as.integer(sub(".*SConfig_([0-9]+)_.*", "\\1", top_table_name)) 
+  config_index <-
+    as.integer(sub(".*SConfig_([0-9]+)_.*", "\\1", top_table_name))
+
+  smooth_timepoints <- seq(meta$Time[1],
+    meta$Time[length(meta$Time)],
+    length.out = 100
+  )
 
-  smooth_timepoints <- seq(meta$Time[1], 
-                           meta$Time[length(meta$Time)], 
-                           length.out = 100)
-  
   args <- list(x = smooth_timepoints, intercept = FALSE)
   args$df <- spline_test_configs$dof[[config_index]]
 
   if (spline_test_configs$spline_type[config_index] == "b") {
     args$degree <- spline_test_configs$degree[[config_index]]
     X <- do.call(splines::bs, args)
-  } else {                                          # natural cubic splines
+  } else { # natural cubic splines
     X <- do.call(splines::ns, args)
   }
-  
+
   # Generate all the individual plots
   for (index in indices) {
-    
     DoF <- which(names(top_table) == "AveExpr") - 1
-    spline_coeffs <- 
-      as.numeric(top_table[top_table$feature_nr == 
-                             index, paste0("X", 1:DoF)])
-    
-    intercept <- 
+    spline_coeffs <-
+      as.numeric(top_table[top_table$feature_nr ==
+        index, paste0("X", 1:DoF)])
+
+    intercept <-
       as.numeric(top_table$intercept[top_table$feature_nr == index])
-    
+
     fitted_values <- X %*% spline_coeffs + intercept
-    
-    plot_data <- data.frame(Time = meta$Time, 
-                            Intensity = as.vector(t(data[index, ])))
-    
+
+    plot_data <- data.frame(
+      Time = meta$Time,
+      Intensity = as.vector(t(data[index, ]))
+    )
+
     plot_spline <- data.frame(Time = smooth_timepoints, Fitted = fitted_values)
-    
+
     # Calculate the extension for the x-axis
     x_max <- max(meta$Time)
-    x_extension <- x_max * 0.05  # Extend the x-axis by 5% of its maximum value
-    
+    x_extension <- x_max * 0.05 # Extend the x-axis by 5% of its maximum value
+
     p <- ggplot2::ggplot() +
-      geom_point(data = plot_data, aes(x = !!rlang::sym("Time"),
-                                       y = !!rlang::sym("Intensity")), 
-                 color = 'blue') +
-      geom_line(data = plot_spline, aes(x = !!rlang::sym("Time"),
-                                        y = !!rlang::sym("Fitted")), 
-                color = 'red') +
+      geom_point(
+        data = plot_data, aes(
+          x = !!rlang::sym("Time"),
+          y = !!rlang::sym("Intensity")
+        ),
+        color = "blue"
+      ) +
+      geom_line(
+        data = plot_spline, aes(
+          x = !!rlang::sym("Time"),
+          y = !!rlang::sym("Fitted")
+        ),
+        color = "red"
+      ) +
       theme_minimal() +
       scale_x_continuous(limits = c(min(meta$Time), x_max + x_extension))
     labs(x = paste0("Time ", time_unit_label), y = "Intensity")
-    
-    title <- top_table$feature_names[index]  
+
+    title <- top_table$feature_names[index]
     if (is.na(title)) {
       title <- paste("Feature:", index)
     }
-    
-    p <- p + labs(title = title, 
-                  x = paste0("Time ", time_unit_label), y = "Intensity") +
-      theme(plot.title = element_text(size = 4),
-            axis.title.x = element_text(size = 8), 
-            axis.title.y = element_text(size = 8)) +
-      annotate("text", x = x_max + (x_extension / 2), y = 
-                 max(fitted_values, na.rm = TRUE),
-               label = "",
-               hjust = 0.5, vjust = 1, size = 3.5, angle = 0, color = "black")
+
+    p <- p + labs(
+      title = title,
+      x = paste0("Time ", time_unit_label), y = "Intensity"
+    ) +
+      theme(
+        plot.title = element_text(size = 4),
+        axis.title.x = element_text(size = 8),
+        axis.title.y = element_text(size = 8)
+      ) +
+      annotate("text",
+        x = x_max + (x_extension / 2), y =
+          max(fitted_values, na.rm = TRUE),
+        label = "",
+        hjust = 0.5, vjust = 1, size = 3.5, angle = 0, color = "black"
+      )
 
     plot_list[[length(plot_list) + 1]] <- p
   }
-  
+
   if (length(plot_list) > 0) {
     # Generate the combined plot
     num_plots <- length(plot_list)
     ncol <- 3
     composite_plot_len <- as.integer(ceiling(num_plots / ncol))
-    
-    composite_plot <- patchwork::wrap_plots(plot_list, ncol = 3) + 
-      patchwork::plot_annotation(title = paste(top_table_name, type, 
-                                               sep = " | "), 
-                      theme = theme(plot.title = element_text(hjust = 0.5, 
-                                                              size = 14)))
-    
-    return(list(
-      composite_plot = composite_plot, 
-      composite_plot_len = composite_plot_len)
+
+    composite_plot <- patchwork::wrap_plots(plot_list, ncol = 3) +
+      patchwork::plot_annotation(
+        title = paste(top_table_name, type,
+          sep = " | "
+        ),
+        theme = theme(plot.title = element_text(
+          hjust = 0.5,
+          size = 14
+        ))
       )
+
+    return(list(
+      composite_plot = composite_plot,
+      composite_plot_len = composite_plot_len
+    ))
   } else {
     return(FALSE)
   }
@@ -1484,76 +1481,76 @@ plot_composite_splines <- function(
 #' Build Hyperparameters Screening Report
 #'
 #' @description
-#' Constructs an HTML report for hyperparameter screening by embedding plots 
+#' Constructs an HTML report for hyperparameter screening by embedding plots
 #' and their respective sizes into the provided header section.
 #'
 #' @param header_section A character string containing the HTML header section.
 #' @param plots A list of ggplot2 plot objects.
-#' @param plots_sizes A list of integers specifying the number of rows for each 
+#' @param plots_sizes A list of integers specifying the number of rows for each
 #' plot.
 #' @param report_info A named list containg the report info fields. Here used
 #'                    for the email hotkey functionality.
-#' @param output_file_path A character string specifying the path to save the 
+#' @param output_file_path A character string specifying the path to save the
 #' HTML report.
 #'
 #' @return No return value, called for side effects.
 #'
 #' @seealso
 #' \code{\link{plot2base64}}
-#' 
+#'
 build_hyperparams_screen_report <- function(
-    header_section, 
-    plots, 
-    plots_sizes, 
+    header_section,
+    plots,
+    plots_sizes,
     report_info,
-    output_file_path
-    ) {
-
+    output_file_path) {
   html_content <- paste(header_section, "<!--TOC-->", sep = "\n")
-  
+
   toc <- create_toc()
-  
+
   styles <- define_html_styles()
   section_header_style <- styles$section_header_style
   toc_style <- styles$toc_style
-  
+
   headers <- c(
     "Venn-Heatmap",
     "Venn-Heatmap long",
     "Nr. Hits Barplots",
     "Spline Curves"
-    )
-  
+  )
+
   # section_texts <- get_hyperparams_screen_plots_explanations()
   section_texts <- read_section_texts(
     "screen_hyperparams_plot_explanations.txt"
-    )
-  
+  )
+
   nr_of_sections <- length(headers)
-  
+
   for (index in seq_along(plots)) {
-    
     if (index <= nr_of_sections) {
-      
       section_header <- sprintf(
         "<h2 style='%s' id='section%d'>%s</h2>",
         section_header_style,
         index,
         headers[index]
-        )
-      
-      section_text <- sprintf('<p style="font-size: 2em;">%s</p>',
-                                  section_texts[index])
-      
+      )
+
+      section_text <- sprintf(
+        '<p style="font-size: 2em;">%s</p>',
+        section_texts[index]
+      )
+
       html_content <- paste(
         html_content,
         section_header,
         section_text,
         sep = "\n"
-        )
-      
-      toc_entry <- sprintf("<li style='%s'><a href='#section%d'>%s</a></li>",
-                           toc_style, index, headers[index])
+      )
+
+      toc_entry <- sprintf(
+        "<li style='%s'><a href='#section%d'>%s</a></li>",
+        toc_style, index, headers[index]
+      )
       toc <- paste(toc, toc_entry, sep = "\n")
     }
 
@@ -1567,7 +1564,7 @@ build_hyperparams_screen_report <- function(
     html_content <- result$html_content
     toc <- result$toc
   }
-  
+
   generate_and_write_html(
     toc = toc,
     html_content = html_content,
diff --git a/R/splineomics_object.R b/R/splineomics_object.R
index b7c1757..ddaa5a2 100755
--- a/R/splineomics_object.R
+++ b/R/splineomics_object.R
@@ -4,56 +4,56 @@
 #' Create a SplineOmics object
 #'
 #' @description
-#' Creates a SplineOmics object containing variables that are commonly used 
+#' Creates a SplineOmics object containing variables that are commonly used
 #' across multiple functions in the package.
-#' 
+#'
 #' @param data The actual omics data. In the case the rna_seq_data argument is
-#' used, still provide this argument. In that case, input the data matrix in 
+#' used, still provide this argument. In that case, input the data matrix in
 #' here (for example the $E part of the voom object). Assign your feature names
 #' as row headers (otherwise, just numbers will be your feature names).
 #' @param meta Metadata associated with the omics data.
 #' @param condition A condition variable.
-#' @param rna_seq_data An object containing the preprocessed RNA-seq data, 
-#' such as the output from `limma::voom` or a similar preprocessing pipeline. 
+#' @param rna_seq_data An object containing the preprocessed RNA-seq data,
+#' such as the output from `limma::voom` or a similar preprocessing pipeline.
 #' This argument is not controlled by any function of the `SplineOmics` package.
 #' Rather, in that regard it relies on the input control from the `limma::lmfit`
 #' function.
-#' @param annotation A dataframe with the feature descriptions of data 
+#' @param annotation A dataframe with the feature descriptions of data
 #' (optional).
-#' @param report_info A list containing report information such as omics data 
-#' type, data description, data collection date, analyst name, contact info, 
-#' and project name (optional). 
+#' @param report_info A list containing report information such as omics data
+#' type, data description, data collection date, analyst name, contact info,
+#' and project name (optional).
 #' @param meta_batch_column Column for meta batch information (optional).
-#' @param meta_batch2_column Column for secondary meta batch information 
+#' @param meta_batch2_column Column for secondary meta batch information
 #' (optional).
-#' @param feature_name_columns Character vector containing the column names of 
+#' @param feature_name_columns Character vector containing the column names of
 #'                             the annotation info that describe the features.
-#'                             This argument is used to specify in the HTML 
+#'                             This argument is used to specify in the HTML
 #'                             report how exactly the feature names displayed
 #'                             above each individual spline plot have been
-#'                             created. Use the same vector that was used to 
+#'                             created. Use the same vector that was used to
 #'                             create the row headers for the data matrix!
 #' @param design A design matrix or similar object (optional).
-#' @param mode For the design formula, you must specify either 'isolated' or 
-#' 'integrated'. Isolated means limma determines the results for each level 
+#' @param mode For the design formula, you must specify either 'isolated' or
+#' 'integrated'. Isolated means limma determines the results for each level
 #' using only the data from that level. Integrated means limma determines the
 #'  results for all levels using the full dataset (from all levels).
 #' @param spline_params Parameters for spline functions (optional). Must contain
 #' the named elements spline_type, which must contain either the string "n" for
 #' natural cubic splines, or "b", for B-splines, the named element degree in the
-#' case of B-splines, that must contain only an integer, and the named element 
+#' case of B-splines, that must contain only an integer, and the named element
 #' dof, specifying the degree of freedom, containing an integer and required
 #' both for natural and B-splines.
-#' @param padjust_method Method for p-value adjustment, one of "none", "BH", 
-#' "BY", "holm", "bonferroni", "hochberg", or "hommel". 
+#' @param padjust_method Method for p-value adjustment, one of "none", "BH",
+#' "BY", "holm", "bonferroni", "hochberg", or "hommel".
 #' Defaults to "BH" (Benjamini-Hochberg).
 #'
 #' @return A SplineOmics object.
 #'
 #' @export
-#' 
+#'
 create_splineomics <- function(
-    data,  
+    data,
     meta,
     condition,
     rna_seq_data = NULL,
@@ -63,11 +63,12 @@ create_splineomics <- function(
     meta_batch2_column = NULL,
     feature_name_columns = NULL,
     design = NULL,
+    dream_params = NULL,
     mode = NULL,
     spline_params = NULL,
     padjust_method = "BH"
     ) {
-
+  
   splineomics <- list(
     data = data,
     rna_seq_data = rna_seq_data,
@@ -79,11 +80,12 @@ create_splineomics <- function(
     meta_batch2_column = meta_batch2_column,
     feature_name_columns = feature_name_columns,
     design = design,
+    dream_params = dream_params,
     mode = mode,
     spline_params = spline_params,
     padjust_method = padjust_method
   )
-  
+
   class(splineomics) <- "SplineOmics"
   return(splineomics)
 }
@@ -100,7 +102,7 @@ create_splineomics <- function(
 #' @return The updated SplineOmics object.
 #'
 #' @export
-#' 
+#'
 update_splineomics <- function(
     splineomics,
     ...
@@ -109,7 +111,7 @@ update_splineomics <- function(
   if (!inherits(splineomics, "SplineOmics")) {
     stop("The passed object must be of class 'SplineOmics'")
   }
-  
+
   allowed_fields <- c(
     "data",
     "rna_seq_data",
@@ -121,11 +123,12 @@ update_splineomics <- function(
     "meta_batch2_column",
     "feature_name_columns",
     "design",
+    "dream_params",
     "mode",
     "spline_params",
     "limma_splines_result"
-    )
-  
+  )
+
   args <- list(...)
 
   for (name in names(args)) {
@@ -134,7 +137,7 @@ update_splineomics <- function(
     }
     splineomics[[name]] <- args[[name]]
   }
-  
+
   return(splineomics)
 }
 
@@ -143,59 +146,59 @@ update_splineomics <- function(
 #'
 #' @description
 #' This function provides a summary print of the SplineOmics object, showing
-#' relevant information such as the number of features, samples, metadata, 
+#' relevant information such as the number of features, samples, metadata,
 #' RNA-seq data, annotation, and spline parameters.
 #'
 #' @param x A SplineOmics object created by the `create_splineomics` function.
 #' @param ... Additional arguments passed to or from other methods.
 #'
 #' @details
-#' This function is automatically called when a SplineOmics object is printed. 
-#' It provides a concise overview of the object's contents and attributes, 
-#' including the dimensions of the data, available metadata, and other relevant 
+#' This function is automatically called when a SplineOmics object is printed.
+#' It provides a concise overview of the object's contents and attributes,
+#' including the dimensions of the data, available metadata, and other relevant
 #' information such as annotations and spline parameters.
 #'
 #' @return
-#' The function does not return a value. It prints a summary of 
+#' The function does not return a value. It prints a summary of
 #' the SplineOmics object.
-#' 
+#'
 #' @importFrom utils head
 #'
 #' @export
-#' 
+#'
 print.SplineOmics <- function(x, ...) {
   cat("data:")
   cat("SplineOmics Object\n")
   cat("-------------------\n")
-  
+
   # Print summary information
   cat("Number of features (rows):", nrow(x$data), "\n")
   cat("Number of samples (columns):", ncol(x$data), "\n")
-  
+
   cat("Meta data columns:", ncol(x$meta), "\n")
   cat("First few meta columns:\n")
   print(utils::head(x$meta, 3))
-  
+
   cat("Condition:", x$condition, "\n")
-  
+
   if (!is.null(x$rna_seq_data)) {
     cat("RNA-seq data is provided.\n")
   } else {
     cat("No RNA-seq data provided.\n")
   }
-  
+
   if (!is.null(x$annotation)) {
     cat("Annotation provided with", nrow(x$annotation), "entries.\n")
   } else {
     cat("No annotation provided.\n")
   }
-  
+
   if (!is.null(x$spline_params)) {
     cat("Spline parameters are set:\n")
-    print(x$spline_params)  
+    print(x$spline_params)
   } else {
     cat("No spline parameters set.\n")
   }
-  
+
   cat("P-value adjustment method:", x$padjust_method, "\n")
 }
diff --git a/R/utils_general.R b/R/utils_general.R
index 1caab3c..6302921 100755
--- a/R/utils_general.R
+++ b/R/utils_general.R
@@ -1,4 +1,4 @@
-#' utils scripts contains shared functions that are used by at least two package 
+#' utils scripts contains shared functions that are used by at least two package
 #' functions of the SplineOmics package.
 
 # Level 1 internal functions ---------------------------------------------------
@@ -9,9 +9,9 @@
 #' @description
 #' Creates a progress bar for tracking the progress of an iterable task.
 #'
-#' @param iterable An iterable object (e.g., list or vector) whose length 
+#' @param iterable An iterable object (e.g., list or vector) whose length
 #' determines the total number of steps.
-#' @param message A message to display with the progress bar 
+#' @param message A message to display with the progress bar
 #' (default is "Processing").
 #'
 #' @return A progress bar object from the 'progress' package.
@@ -20,12 +20,10 @@
 #'
 #' @seealso
 #' \code{\link{progress_bar}}
-#' 
+#'
 create_progress_bar <- function(
     iterable,
-    message = "Processing"
-) {
-  
+    message = "Processing") {
   # Create and return the progress bar
   pb <- progress::progress_bar$new(
     format = paste(" ", message, " [:bar] :percent :elapsed"),
@@ -33,7 +31,7 @@ create_progress_bar <- function(
     width = 60,
     clear = FALSE
   )
-  
+
   return(pb)
 }
 
@@ -42,20 +40,20 @@ create_progress_bar <- function(
 #' Create Design Matrix for Splines
 #'
 #' @description
-#' This function generates a design matrix using spline parameters and metadata. 
-#' It accommodates both B-splines and natural cubic splines based on the provided 
+#' This function generates a design matrix using spline parameters and metadata.
+#' It accommodates both B-splines and natural cubic splines based on the provided
 #' spline type and parameters.
 #'
 #' @param meta A dataframe containing the metadata, including the time column.
-#' @param spline_params A list containing the spline parameters. This list can 
-#' include `dof` (degrees of freedom), `knots`, `bknots` (boundary knots), 
+#' @param spline_params A list containing the spline parameters. This list can
+#' include `dof` (degrees of freedom), `knots`, `bknots` (boundary knots),
 #' `spline_type`, and `degree`.
-#' @param level_index An integer representing the current level index for which 
+#' @param level_index An integer representing the current level index for which
 #' the design matrix is being generated.
-#' @param design A character string representing the design formula to be used 
+#' @param design A character string representing the design formula to be used
 #' for generating the model matrix.
 #'
-#' @return A design matrix constructed using the specified spline parameters and 
+#' @return A design matrix constructed using the specified spline parameters and
 #' design formula.
 #'
 #' @importFrom splines bs ns
@@ -67,18 +65,18 @@ design2design_matrix <- function(
     level_index,
     design
     ) {
-
+  
   args <- list(
     x = meta$Time,
     intercept = FALSE
-    )   # Time column is mandatory
-  
+  ) # Time column is mandatory
+
   if (!is.null(spline_params$dof)) {
     args$df <- spline_params$dof[level_index]
   } else {
     args$knots <- spline_params$knots[[level_index]]
   }
-  
+
   if (!is.null(spline_params$bknots)) {
     args$Boundary.knots <- spline_params$bknots[[level_index]]
   }
@@ -86,14 +84,19 @@ design2design_matrix <- function(
   if (spline_params$spline_type[level_index] == "b") {
     args$degree <- spline_params$degree[level_index]
     meta$X <- do.call(splines::bs, args)
-  } else {                                          # natural cubic splines
+  } else { # natural cubic splines
     meta$X <- do.call(splines::ns, args)
   }
-  
+
   design_matrix <- stats::model.matrix(
     stats::as.formula(design),
     data = meta
-    )
+  )
+  
+  result <- list(
+    design_matrix = design_matrix,
+    meta = meta
+  )
 }
 
 
@@ -110,9 +113,7 @@ design2design_matrix <- function(
 #'
 merge_top_table_with_annotation <- function(
     top_table,
-    annotation
-) {
-  
+    annotation) {
   top_table$feature_nr <- as.numeric(as.character(top_table$feature_nr))
   annotation_rows <- annotation[top_table$feature_nr, ]
   top_table <- cbind(top_table, annotation_rows)
@@ -122,7 +123,7 @@ merge_top_table_with_annotation <- function(
 #' Bind Data with Annotation
 #'
 #' @description
-#' This function converts a matrix to a dataframe, adds row names as the first 
+#' This function converts a matrix to a dataframe, adds row names as the first
 #' column,
 #' and binds it with annotation data.
 #'
@@ -135,28 +136,27 @@ merge_top_table_with_annotation <- function(
 #'
 bind_data_with_annotation <- function(
     data,
-    annotation = NULL
-) {
-  
+    annotation = NULL) {
   data_df <- as.data.frame(data)
-  
+
   # Add row names as the first column named feature_names
   combined_df <- cbind(
     feature_name = rownames(data_df),
     data_df
   )
-  
+
   # If annotation is not NULL, check row count and bind with annotation
   if (!is.null(annotation)) {
     if (nrow(data_df) != nrow(annotation)) {
       stop("The number of rows in data and annotation must be the same.",
-           call. = FALSE)
+        call. = FALSE
+      )
     }
-    
+
     # Bind the annotation with the data
     combined_df <- cbind(combined_df, annotation)
   }
-  
+
   return(combined_df)
 }
 
@@ -164,53 +164,51 @@ bind_data_with_annotation <- function(
 #' Print Informational Message
 #'
 #' @description
-#' This function prints a nicely formatted informational message with a green "Info" label.
+#' This function prints a nicely formatted informational message with a green
+#'  "Info" label.
 #'
-#' @param message_prefix A custom message prefix to be displayed before the success message.
+#' @param message_prefix A custom message prefix to be displayed before the
+#' success message.
 #' @param report_dir The directory where the HTML reports are located.
 #'
 #' @return NULL
 #'
 print_info_message <- function(
     message_prefix,
-    report_dir
-    ) {
-  
+    report_dir) {
   # Green color code for "Info"
   green_info <- "\033[32mInfo\033[0m"
-  
+
   full_message <- paste(
     green_info, message_prefix, "completed successfully.\n",
     "Your HTML reports are located in the directory: ", report_dir, ".\n",
     "Please note that due to embedded files, the reports might be flagged as\n",
     "harmful by other software. Rest assured that they provide no harm.\n"
   )
-  
-  cat(full_message)
+
+  message(full_message)
 }
 
 
 #' Stop with custom message without call.
 #'
 #' @description
-#' A helper function that triggers an error with the specified message and 
-#' suppresses the function call in the error output. This function behaves 
-#' similarly to the base `stop()` function but automatically concatenates 
+#' A helper function that triggers an error with the specified message and
+#' suppresses the function call in the error output. This function behaves
+#' similarly to the base `stop()` function but automatically concatenates
 #' multiple message strings if provided.
 #'
-#' @param ... One or more character strings specifying the error message. 
-#'            If multiple strings are provided, they will be concatenated 
+#' @param ... One or more character strings specifying the error message.
+#'            If multiple strings are provided, they will be concatenated
 #'            with a space between them.
 #'
-#' @return This function does not return a value; it stops execution and 
+#' @return This function does not return a value; it stops execution and
 #'         throws an error.
 #'
 stop_call_false <- function(...) {
   # Concatenate all arguments into a single string
   message_text <- paste(..., sep = " ")
-  
+
   # Call stop with the concatenated message and call. = FALSE
   stop(message_text, call. = FALSE)
 }
-
-
diff --git a/R/utils_input_validation.R b/R/utils_input_validation.R
index 091bd49..e663345 100755
--- a/R/utils_input_validation.R
+++ b/R/utils_input_validation.R
@@ -1,5 +1,3 @@
-
-
 # InputControl class -----------------------------------------------------------
 
 
@@ -11,32 +9,30 @@
 #'
 InputControl <- R6::R6Class("InputControl",
   inherit = Level2Functions,
-  
   public = list(
     args = NULL,
-    
+
     #' Initialize an InputControl object
     #'
     #' @param args A list of arguments to be validated.
     #' @return A new instance of the InputControl class.
-    #' 
+    #'
     initialize = function(args) {
-      
       if (!is.null(args$splineomics) &&
-          inherits(args$splineomics, "SplineOmics")) {
+        inherits(args$splineomics, "SplineOmics")) {
         args <- c(args, args$splineomics)
-        args$splineomics <- NULL 
+        args$splineomics <- NULL
       }
-      
+
       self$args <- args
     },
-    
-    
+
+
     #' Automatically Validate All Arguments
     #'
-    #' This method automatically validates all arguments by sequentially 
+    #' This method automatically validates all arguments by sequentially
     #' calling
-    #' various validation methods defined within the class. Each validation 
+    #' various validation methods defined within the class. Each validation
     #' method
     #' checks specific aspects of the input arguments and raises an error if the
     #' validation fails.
@@ -60,7 +56,7 @@ InputControl <- R6::R6Class("InputControl",
     #' - \code{self$check_report()}
     #' - \code{self$check_feature_name_columns()}
     #'
-    #' @return NULL. The function is used for its side effects of validating 
+    #' @return NULL. The function is used for its side effects of validating
     #' input
     #' arguments and raising errors if any validation fails.
     #'
@@ -71,6 +67,7 @@ InputControl <- R6::R6Class("InputControl",
       self$check_datas_descr()
       self$check_top_tables()
       self$check_design_formula()
+      self$check_dream_params()
       self$check_mode()
       self$check_modes()
       self$check_designs_and_metas()
@@ -88,22 +85,22 @@ InputControl <- R6::R6Class("InputControl",
       self$check_report()
       self$check_feature_name_columns()
     },
-    
+
 
     #' Check Data and Meta
     #'
     #' @description
-    #' This function checks the validity of the data and meta objects, 
+    #' This function checks the validity of the data and meta objects,
     #' ensuring that
-    #' data is a matrix with numeric values and that meta is a dataframe 
+    #' data is a matrix with numeric values and that meta is a dataframe
     #' containing
-    #' the specified condition column. Additionally, it verifies that the 
+    #' the specified condition column. Additionally, it verifies that the
     #' number of
-    #' columns in the data matrix matches the number of rows in the meta 
+    #' columns in the data matrix matches the number of rows in the meta
     #' dataframe.
     #'
     #' @param data A matrix containing numeric values.
-    #' @param meta A dataframe containing the metadata, including the 'Time' 
+    #' @param meta A dataframe containing the metadata, including the 'Time'
     #' column
     #' and the specified condition column.
     #' @param condition A single character string specifying the column name in
@@ -117,7 +114,6 @@ InputControl <- R6::R6Class("InputControl",
     #' error message if any check fails.
     #'
     check_data_and_meta = function() {
-      
       data <- self$args[["data"]]
       meta <- self$args[["meta"]]
       condition <- self$args[["condition"]]
@@ -126,126 +122,130 @@ InputControl <- R6::R6Class("InputControl",
       data_meta_index <- self$args[["data_meta_index"]]
 
       required_args <- list(data, meta, condition)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       self$check_data(
         data,
         data_meta_index
-        )
-      
+      )
+
       self$check_meta(
         meta = meta,
         condition = condition,
         meta_batch_column = meta_batch_column,
         meta_batch2_column = meta_batch2_column,
         data_meta_index = data_meta_index
-        )
-      
+      )
+
       if (!(nrow(meta) == ncol(data))) {
         if (!is.null(data_meta_index)) {
-          stop(paste0("For index ", data_meta_index,
-                      "data column number must be equal to ",
-                      "meta row number"),
-               call. = FALSE)
+          stop(
+            paste0(
+              "For index ", data_meta_index,
+              "data column number must be equal to ",
+              "meta row number"
+            ),
+            call. = FALSE
+          )
         } else {
           stop(paste0("data column number must be equal to meta row number"),
-               call. = FALSE)
+            call. = FALSE
+          )
         }
       }
     },
-    
-    
+
+
     #' Check Annotation Consistency
     #'
     #' @description
-    #' This method checks the consistency of the annotation with the data. 
+    #' This method checks the consistency of the annotation with the data.
     #' It ensures
-    #' that the annotation is a dataframe and that it has the same number 
+    #' that the annotation is a dataframe and that it has the same number
     #' of rows as the data.
     #'
     #' @details
     #' The method performs the following checks:
-    #' 
+    #'
     #' * Ensures that both `annotation` and `data` are provided.
     #' * Confirms that `annotation` is a dataframe.
     #' * Verifies that `annotation` and `data` have the same number of rows.
-    #' 
+    #'
     #' If any of these checks fail, an informative error message is returned.
     #'
-    #' @return NULL if any required arguments are missing. Otherwise, performs 
+    #' @return NULL if any required arguments are missing. Otherwise, performs
     #' checks and potentially raises errors if checks fail.
     #'
     check_annotation = function() {
-      
       annotation <- self$args[["annotation"]]
       data <- self$args[["data"]]
 
       required_args <- list(annotation, data)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       if (!is.data.frame(annotation)) {
         stop(
           "annotation is not a dataframe but must be one!",
           call. = FALSE
         )
       }
-      
+
       if (nrow(annotation) != nrow(data)) {
         stop(
           "annotation and data don't have the same nr. of rows but must have!",
           call. = FALSE
-          )
+        )
       }
     },
-    
-    
+
+
     #' Check Multiple Data and Meta Pairs
     #'
     #' @description
-    #' Iterates over multiple data and meta pairs to validate each pair using 
+    #' Iterates over multiple data and meta pairs to validate each pair using
     #' the `check_data_and_meta` function.
     #'
     #' @param datas A list of matrices containing numeric values.
     #' @param metas A list of data frames containing metadata.
-    #' @param condition A character string specifying the column name in the 
+    #' @param condition A character string specifying the column name in the
     #' meta dataframe to be checked.
-    #' @param meta_batch_column An optional parameter specifying the column name 
+    #' @param meta_batch_column An optional parameter specifying the column name
     #' in the meta dataframe used to remove the batch effect. Default is NA.
     #' @param meta_batch2_column An optional parameter specifying the column
-    #'  name 
-    #' in the meta dataframe used to remove the second batch effect. Default 
+    #'  name
+    #' in the meta dataframe used to remove the second batch effect. Default
     #' is NA.
     #'
     #' @return NULL if any check fails, otherwise returns TRUE.
     #'
     check_datas_and_metas = function() {
-      
       datas <- self$args$datas
       metas <- self$args$metas
       condition <- self$args$condition
       meta_batch_column <- self$args$meta_batch_column
       meta_batch2_column <- self$args$meta_batch2_column
-      
+
       required_args <- list(datas, metas, condition)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       if (length(datas) != length(metas)) {
         stop(paste0("datas and metas must have the same length."),
-             call. = FALSE)
+          call. = FALSE
+        )
       }
-      
+
       data_storage <- self$args$data
       meta_storage <- self$args$meta
-      
+
       for (i in seq_along(datas)) {
         self$args$data <- datas[[i]]
         self$args$meta <- metas[[i]]
@@ -253,22 +253,22 @@ InputControl <- R6::R6Class("InputControl",
         self$args$condition <- condition
         self$args$meta_batch_column <- meta_batch_column
         self$args$meta_batch2_column <- meta_batch2_column
-        
+
         self$check_data_and_meta()
       }
-      
+
       self$args$data <- data_storage
       self$args$meta <- meta_storage
-      
+
       return(TRUE)
     },
-    
-    
+
+
     #' Check Data Descriptions
     #'
     #' @description
-    #' Validates that the data descriptions are character vectors with each 
-    #' element 
+    #' Validates that the data descriptions are character vectors with each
+    #' element
     #' not exceeding 80 characters in length.
     #'
     #' @param datas_descr A character vector of data descriptions.
@@ -277,22 +277,21 @@ InputControl <- R6::R6Class("InputControl",
     #'
     #' @seealso
     #' \code{\link{stop}} for error handling.
-    #' 
+    #'
     check_datas_descr = function() {
-      
       datas_descr <- self$args$datas_descr
-      
+
       required_args <- list(datas_descr)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       if (!is.character(datas_descr) || any(nchar(datas_descr) > 80)) {
         long_elements_indices <- which(nchar(datas_descr) > 80)
         long_elements <- datas_descr[long_elements_indices]
         error_message <- sprintf(
-          "'datas_descr' must be a character vector with no element over 80 
+          "'datas_descr' must be a character vector with no element over 80
       characters. Offending element(s) at indices %s: '%s'. Please shorten
       the description.",
           paste(long_elements_indices, collapse = ", "),
@@ -301,8 +300,8 @@ InputControl <- R6::R6Class("InputControl",
         stop(error_message)
       }
     },
-    
-    
+
+
     #' Check Top Tables
     #'
     #' @description
@@ -314,100 +313,107 @@ InputControl <- R6::R6Class("InputControl",
     #' @return No return value, called for side effects.
     #'
     check_top_tables = function() {
-      
       top_tables <- self$args$top_tables
 
       required_args <- list(top_tables)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       # Helper function to check data frames in a list
       check_list_of_dataframes <- function(df_list) {
-        
-        if (!is.list(df_list) || !all(sapply(df_list, is.data.frame))) {
-          
-          stop("Expected a list of dataframes", call. = FALSE)
-          
+        if (!is.list(df_list) ||
+          !all(vapply(df_list, is.data.frame, logical(1)))) {
+          stop_call_false("Expected a list of dataframes")
         } else {
-          
           if (length(df_list) != 2) {
-            stop(paste("top_tables must be a list of two lists if you want", 
-                       "to cluster the hits of the limma results of", 
-                       "avrg_diff_conditions or interaction_condition_time.", 
-                       "The list must contain one of those two plus", 
-                       "the time_effect limma result, in any order"),
-                 call. = FALSE)
+            stop_call_false(paste(
+              "top_tables must be a list of two lists if you want",
+              "to cluster the hits of the limma results of",
+              "avrg_diff_conditions or interaction_condition_time.",
+              "The list must contain one of those two plus",
+              "the time_effect limma result, in any order"
+            ))
           }
-          
-          underscore_count <- sapply(names(df_list), 
-                                     function(name) sum(grepl("_", name)))
+
+          underscore_count <- vapply(
+            names(df_list),
+            function(name) sum(grepl("_", name)),
+            integer(1)
+          )
           if (sum(underscore_count == 1) != 1 ||
-              sum(underscore_count == 4) != 1) {
-            stop(paste("top_tables must be a list of two lists if you want", 
-                       "to cluster the hits of the limma results of", 
-                       "avrg_diff_conditions or interaction_condition_time.", 
-                       "The list must contain one of those two plus", 
-                       "the time_effect limma result, in any order"),
-                 call. = FALSE)
+            sum(underscore_count == 4) != 1) {
+            stop_call_false(paste(
+              "top_tables must be a list of two lists if you want",
+              "to cluster the hits of the limma results of",
+              "avrg_diff_conditions or interaction_condition_time.",
+              "The list must contain one of those two plus",
+              "the time_effect limma result, in any order"
+            ))
           }
-          
+
           for (df in df_list) {
             self$check_dataframe(df)
           }
         }
       }
-      
+
       # Check if top_tables is a list
       if (!is.list(top_tables)) {
-        stop("top_tables must be a list", call. = FALSE)
+        stop_call_false("top_tables must be a list")
       }
-      
+
       for (i in seq_along(top_tables)) {
-        
         element <- top_tables[[i]]
         element_name <- names(top_tables)[i]
-        
-        # Means it is a list of lists (so the user wants to cluster the hits of 
-        # avrg_diff_conditions or interaction_condition_time with the help of 
+
+        # Means it is a list of lists (so the user wants to cluster the hits of
+        # avrg_diff_conditions or interaction_condition_time with the help of
         # the spline coeffs in time_effect)
         if (!tibble::is_tibble(element) && is.list(element)) {
-          
           check_list_of_dataframes(element)
-          
         } else if (tibble::is_tibble(element)) {
-
           matches <- gregexpr("_", element_name)
-          underscore_count <- sum(sapply(matches,
-                              function(x) if (x[1] == -1) 0 else length(x)))
-          
+          underscore_count <- sum(vapply(
+            matches,
+            function(x) if (x[1] == -1) 0 else length(x),
+            integer(1)
+          ))
+
           if (underscore_count != 1) {
-            stop(paste("Very likely you did not pass the time_effect result", 
-                 "of limma but rather one of avrg_diff_conditions or", 
-                 "interaction_condition_time, which cannot be passed alone", 
-                 "(to cluster the hits of one of those, put only one of them", 
-                 "at a time into a list with the time_effect result. Further", 
-                 "note: Please do not edit those list element names by hand."),
-                 call. = FALSE)
+            stop(
+              paste(
+                "Very likely you did not pass the time_effect result",
+                "of limma but rather one of avrg_diff_conditions or",
+                "interaction_condition_time, which cannot be passed alone",
+                "(to cluster the hits of one of those, put only one of them",
+                "at a time into a list with the time_effect result. Further",
+                "note: Please do not edit those list element names by hand."
+              ),
+              call. = FALSE
+            )
           }
-          
+
           self$check_dataframe(element)
-          
         } else {
-          stop(paste("top_tables must contain either data frames or lists of", 
-                     "data frames"),
-               call. = FALSE)
+          stop(
+            paste(
+              "top_tables must contain either data frames or lists of",
+              "data frames"
+            ),
+            call. = FALSE
+          )
         }
       }
     },
 
-    
+
     #' Check Design Formula
     #'
     #' @description
     #' Validates the design formula ensuring it is a valid character string,
-    #' contains allowed characters, includes the intercept term 'X', and 
+    #' contains allowed characters, includes the intercept term 'X', and
     #' references
     #' columns present in the metadata.
     #'
@@ -415,55 +421,57 @@ InputControl <- R6::R6Class("InputControl",
     #' @param meta A data frame containing metadata.
     #' @param meta_index An optional index for the data/meta pair.
     #'
-    #' @return TRUE if the design formula is valid, otherwise an error is 
+    #' @return TRUE if the design formula is valid, otherwise an error is
     #' thrown.
     #'
     #' @seealso \code{\link[stats]{model.matrix}}
     #'
     check_design_formula = function() {
-      
       formula <- self$args[["design"]]
       meta <- self$args[["meta"]]
       meta_index <- self$args[["meta_index"]]
-      
+
       # Not strictly required
       meta_batch_column <- self$args[["meta_batch_column"]]
       meta_batch2_column <- self$args[["meta_batch2_column"]]
-      
+
       required_args <- list(
         formula,
         meta
-        )
-      
-      if (any(sapply(required_args, is.null))) {
+      )
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
 
       # Check if the formula is a valid character string
       if (!is.character(formula) || length(formula) != 1) {
         stop("The design formula must be a valid character string.",
-             call. = FALSE)
+          call. = FALSE
+        )
       }
-      
+
       # Ensure the formula contains allowed characters only
       allowed_chars <- "^[~ 1A-Za-z0-9_+*:()-]*$"
       if (!grepl(allowed_chars, formula)) {
         stop("The design formula contains invalid characters.",
-             call. = FALSE)
+          call. = FALSE
+        )
       }
-      
+
       # Ensure that the formula begins with an intercept (~ 1)
       # Ignore whitespace, check the start of the string
       if (!grepl("^\\s*~\\s*1", formula)) {
         stop(
           paste(
             "The design formula must start with an intercept term '~ 1'.",
-            "This is because spline curves are plotted onto the data", 
+            "This is because spline curves are plotted onto the data",
             "which is not possible without an intercept"
-            ),
-             call. = FALSE)
+          ),
+          call. = FALSE
+        )
       }
-      
+
       # Ensure the formula contains the intercept term 'X'
       if (!grepl("\\bX\\b", formula)) {
         stop_call_false(
@@ -471,125 +479,210 @@ InputControl <- R6::R6Class("InputControl",
           "for the meta Time column"
         )
       }
-      
+
       # Extract terms from the formula (removing interactions and functions)
       formula_terms <- unlist(strsplit(gsub("[~+*:()]", " ", formula), " "))
       formula_terms <- formula_terms[formula_terms != ""]
-      
+
       # Remove '1' and 'X' from terms since they are not columns
       formula_terms <- setdiff(formula_terms, c("1", "X"))
-      
+
       # Check if the terms are present in the dataframe
       missing_columns <- setdiff(formula_terms, names(meta))
       if (length(missing_columns) > 0) {
         if (!is.null(meta_index)) {
-          stop_call_false(sprintf("%s (data/meta pair index: %s): %s",
-                       "The following design columns are missing in meta",
-                       meta_index,
-                       paste(missing_columns, collapse = ", ")))
-          
+          stop_call_false(sprintf(
+            "%s (data/meta pair index: %s): %s",
+            "The following design columns are missing in meta",
+            meta_index,
+            paste(missing_columns, collapse = ", ")
+          ))
         } else {
-          stop_call_false(paste("The following design columns are missing in meta:",
-                     paste(missing_columns, collapse = ", ")))
+          stop_call_false(paste(
+            "The following design columns are missing in meta:",
+            paste(missing_columns, collapse = ", ")
+          ))
         }
       }
-      
+
       # Convert formula to string for regex checking
       formula_str <- as.character(formula)
-      
+
       # Check if batch column is provided and validate its presence in the formula
       if (!is.null(meta_batch_column)) {
         if (!grepl(meta_batch_column, formula_str)) {
           stop_call_false(
-            paste("The batch effect column", meta_batch_column, 
-                  "is provided but not present in the design formula. ",
-                  "Please ensure that if you specify a batch column, ",
-                  "it is included in the design formula to", 
-                  "remove batch effects.")
+            paste(
+              "The batch effect column", meta_batch_column,
+              "is provided in the SplineOmics object as the field",
+              "meta_batch_column but not present in the design formula. ",
+              "Please ensure that if you specify a batch column, ",
+              "it is included in the design formula to",
+              "remove batch effects."
+            )
           )
         }
       }
-      
+
       # Check if the second batch column is provided and validate its presence
       if (!is.null(meta_batch2_column)) {
         if (!grepl(meta_batch2_column, formula_str)) {
           stop_call_false(
-            paste("The second batch effect column", meta_batch2_column, 
-                  "is provided but not present in the design formula.",
-                  "Please ensure that if you specify a second batch column,",
-                  "it is included in the design formula", 
-                  "to remove batch effects.")
+            paste(
+              "The second batch effect column", meta_batch2_column,
+              "is provided but not present in the design formula.",
+              "Please ensure that if you specify a second batch column,",
+              "it is included in the design formula",
+              "to remove batch effects."
+            )
           )
         }
       }
-      
+
       return(TRUE)
     },
     
     
+    #' Validate the `dream_params` argument
+    #'
+    #' @description
+    #' This function checks the validity of the `dream_params` argument provided 
+    #' in the class. If `dream_params` is present, it ensures that it contains  
+    #' the required and optional elements in the correct format. 
+    #' Specifically, `dream_params` must contain a named element 
+    #' `random_effects`, 
+    #' which is required and must be a string. It may also optionally contain 
+    #' the 
+    #' elements `dof`, which must be an integer greater than 1, and 
+    #' `KenwardRoger`, 
+    #' which must be a boolean. Unnamed elements or elements other than these 
+    #' three are not allowed.
+    #'
+    #' @return
+    #' Returns `TRUE` if `dream_params` passes all checks. Otherwise, stops the 
+    #' function and returns an error message using `stop_call_false`.
+    #'
+    check_dream_params = function() {
+      dream_params <- self$args[["dream_params"]]
+      
+      required_args <- list(dream_params)
+      
+      if (any(vapply(required_args, is.null, logical(1)))) {
+        return(NULL)
+      }
+      
+      # Check that dream_params is a named list
+      if (!is.list(dream_params) || is.null(names(dream_params))) {
+        stop_call_false("dream_params must be a named list.")
+      }
+      
+      # Define allowed elements and check for unexpected elements
+      allowed_elements <- c("random_effects", "dof", "KenwardRoger")
+      if (!all(names(dream_params) %in% allowed_elements)) {
+        stop_call_false(
+          "dream_params contains invalid elements.
+          Only 'random_effects', 'dof', and 'KenwardRoger'
+          are allowed."
+          )
+      }
+      
+      # Check that random_effects is present and is a string
+      if (!"random_effects" %in% names(dream_params) 
+          || !is.character(dream_params[["random_effects"]]) 
+          || length(dream_params[["random_effects"]]) != 1) {
+        stop_call_false(
+          "'random_effects' must be a string and must be present in
+          dream_params."
+          )
+      }
+      
+      # If 'dof' is provided, check that it is an integer greater than 1
+      if ("dof" %in% names(dream_params)) {
+        if (!is.numeric(dream_params[["dof"]]) 
+            || dream_params[["dof"]] <= 1 
+            || dream_params[["dof"]] != as.integer(dream_params[["dof"]])) {
+          stop_call_false("'dof' must be an integer greater than 1.")
+        }
+      }
+      
+      # If 'KenwardRoger' is provided, check that it is a boolean
+      if ("KenwardRoger" %in% names(dream_params)) {
+        if (!is.logical(dream_params[["KenwardRoger"]]) 
+            || length(dream_params[["KenwardRoger"]]) != 1) {
+          stop_call_false("'KenwardRoger' must be a boolean.")
+        }
+      }
+      
+      # No unnamed elements should be present
+      if (any(names(dream_params) == "")) {
+        stop_call_false("Unnamed elements are not allowed in dream_params.")
+      }
+      
+      return(TRUE)  
+    },
+
+
     #' Validate and check all modes
     #'
     #' @description
-    #' This function iterates over the `modes` argument, sets each `mode` in 
-    #' `self$args`, and calls `check_mode()` to validate each mode. After each 
+    #' This function iterates over the `modes` argument, sets each `mode` in
+    #' `self$args`, and calls `check_mode()` to validate each mode. After each
     #' validation, the `mode` is removed from `self$args`.
     #'
     #' @return NULL if `modes` is missing; otherwise, checks all modes.
     #'
     check_modes = function() {
-      
       modes <- self$args[["modes"]]
-      
+
       required_args <- list(modes)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       for (mode in modes) {
         self$args$mode <- mode
 
         self$check_mode()
-        
+
         self$args$mode <- NULL
       }
     },
-    
-    
+
+
     #' Check the mode argument for validity
     #'
     #' @description
-    #' This function checks if the `mode` argument is provided and validates 
-    #' that it is either "isolated" or "integrated". If `mode` is missing or 
+    #' This function checks if the `mode` argument is provided and validates
+    #' that it is either "isolated" or "integrated". If `mode` is missing or
     #' invalid, an error is thrown.
     #'
     #' @return NULL if `mode` is missing; otherwise, validates the mode.
     #'
     check_mode = function() {
-      
       mode <- self$args[["mode"]]
-      
+
       required_args <- list(mode)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
 
       if (mode != "isolated" && mode != "integrated") {
         stop_call_false(
           "mode must be either 'isolated' or 'integrated' and not '", mode, "'!"
-          )
+        )
       }
     },
-    
-    
+
+
     #' Check Multiple Designs and Metas
     #'
     #' @description
     #' Iterates over multiple design formulas and corresponding metadata
     #' to validate each pair using the `check_design_formula` function.
     #'
-    #' @param designs A vector of character strings representing design 
+    #' @param designs A vector of character strings representing design
     #' formulas.
     #' @param metas A list of data frames containing metadata.
     #' @param meta_indices A vector of optional indices for the data/meta pairs.
@@ -597,27 +690,26 @@ InputControl <- R6::R6Class("InputControl",
     #' @return NULL if any check fails, otherwise returns TRUE.
     #'
     check_designs_and_metas = function() {
-      
       designs <- self$args$designs
       metas <- self$args$metas
       meta_indices <- self$args$meta_indices
-      
+
       if (is.null(designs) || is.null(metas)) {
         return(NULL)
       }
-      
+
       for (i in seq_along(designs)) {
         self$args$design <- designs[i]
         self$args$meta <- metas[[i]]
-        self$args$meta_index <- 
+        self$args$meta_index <-
           ifelse(!is.null(meta_indices), meta_indices[i], NA)
         self$check_design_formula()
       }
-      
+
       return(TRUE)
     },
-    
-    
+
+
     #' Check Spline Parameters
     #'
     #' @description
@@ -634,127 +726,130 @@ InputControl <- R6::R6Class("InputControl",
     #'         called for side effects.
     #'
     check_spline_params = function() {
-      
       spline_params <- self$args$spline_params
       mode <- self$args[["mode"]]
       meta <- self$args$meta
       condition <- self$args$condition
-      
+
       required_args <- list(
         spline_params,
         mode,
         meta,
         condition
-        )
-      
-      if (any(sapply(required_args, is.null))) {
+      )
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       self$check_spline_params_generally(spline_params)
       self$check_spline_params_mode_dependent(
         spline_params,
         mode,
         meta,
         condition
-        )
+      )
     },
-    
-    
+
+
     #' Check Spline Test Configurations
     #'
     #' @describeIn InputControl
-    #' This method verifies the spline test configurations and associated 
+    #' This method verifies the spline test configurations and associated
     #' metadata
-    #' within the object's arguments. It performs a series of checks on the 
-    #' configurations, including column verification, spline type validation, 
-    #' and ensuring that the degrees of freedom (dof) are within acceptable 
+    #' within the object's arguments. It performs a series of checks on the
+    #' configurations, including column verification, spline type validation,
+    #' and ensuring that the degrees of freedom (dof) are within acceptable
     #' ranges.
-    #' 
+    #'
     #' @param spline_test_configs A configuration object for spline tests.
     #' @param metas A list of metadata corresponding to the data matrices.
-    #' 
+    #'
     #' @return Returns `NULL` if any required arguments are mising, otherwise,
     #'         called for side effects.
     #'
     check_spline_test_configs = function() {
-      
       spline_test_configs <- self$args$spline_test_configs
       metas <- self$args$metas
-      
+
       required_args <- list(spline_test_configs, metas)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
 
       self$check_columns_spline_test_configs(spline_test_configs)
-      
+
       self$check_spline_type_column(spline_test_configs)
-      
+
       self$check_spline_type_params(spline_test_configs)
-      
+
       self$check_max_and_min_dof(
         spline_test_configs,
         metas
-        )
+      )
     },
-    
-    
+
+
     #' Check Limma Top Tables Structure
     #'
-    #' This function checks if the provided limma top tables data structure 
-    #' is correctly formatted. It ensures that the data structure contains 
-    #' exactly three named elements ('time_effect', 'avrg_diff_conditions', 
-    #' and 'interaction_condition_time') and that each element contains 
+    #' This function checks if the provided limma top tables data structure
+    #' is correctly formatted. It ensures that the data structure contains
+    #' exactly three named elements ('time_effect', 'avrg_diff_conditions',
+    #' and 'interaction_condition_time') and that each element contains
     #' dataframes with the correct columns and data types.
     #'
     #' @param self An object containing the data structure to check.
     #'
-    #' @return This function does not return a value. It stops execution 
+    #' @return This function does not return a value. It stops execution
     #' if the data structure does not match the expected format.
-    #' 
+    #'
     check_limma_top_tables = function() {
-      
       top_tables <- self$args$run_limma_splines_result
-      
-      required_names <- c("time_effect",
-                          "avrg_diff_conditions", 
-                          "interaction_condition_time")
-      
+
+      required_names <- c(
+        "time_effect",
+        "avrg_diff_conditions",
+        "interaction_condition_time"
+      )
+
       if (!all(names(top_tables) %in% required_names) ||
-          length(top_tables) != 3) {
-        stop("The list must contain exactly three named elements: 
-         'time_effect', 'avrg_diff_conditions', 
+        length(top_tables) != 3) {
+        stop("The list must contain exactly three named elements:
+         'time_effect', 'avrg_diff_conditions',
          'interaction_condition_time'", call. = FALSE)
       }
-      
-      expected_cols1_3 <- c("X1", "X2", "AveExpr", "F", "P.Value", "adj.P.Val",
-                            "feature_nr", "feature_names", "intercept")
-      
-      expected_cols2 <- c("logFC", "AveExpr", "t", "P.Value", "adj.P.Val",
-                          "B", "feature_nr", "feature_names", "intercept")
-      
+
+      expected_cols1_3 <- c(
+        "X1", "X2", "AveExpr", "F", "P.Value", "adj.P.Val",
+        "feature_nr", "feature_names", "intercept"
+      )
+
+      expected_cols2 <- c(
+        "logFC", "AveExpr", "t", "P.Value", "adj.P.Val",
+        "B", "feature_nr", "feature_names", "intercept"
+      )
+
       for (df in top_tables$time_effect) {
         check_columns(df, expected_cols1_3)
       }
-      
+
       for (df in top_tables$avrg_diff_conditions) {
         check_columns(df, expected_cols2)
       }
-      
+
       for (df in top_tables$interaction_condition_time) {
         check_columns(df, expected_cols1_3)
       }
     },
 
-    
+
     #' Check Adjusted p-Thresholds
     #'
     #' @description
     #' This function checks the validity of the adjusted p-thresholds vector,
     #' ensuring that
-    #' all elements are numeric, greater than 0, and less than 1. If any of 
+    #' all elements are numeric, greater than 0, and less than 1. If any of
     #' these
     #' conditions
     #' are not met, the function stops execution and returns an error message
@@ -767,272 +862,271 @@ InputControl <- R6::R6Class("InputControl",
     #' error message if any check fails.
     #'
     check_adj_pthresholds = function() {
-      
       # Exploited argument slicing.
       adj_pthresholds <- self$args[["adj_pthresh"]]
 
       required_args <- list(adj_pthresholds)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       if (!is.numeric(adj_pthresholds)) {
         stop("'adj_pthresholds' must be a numeric vector.",
-             call. = FALSE)
+          call. = FALSE
+        )
       }
-      
+
       # Check for elements <= 0
       if (any(adj_pthresholds <= 0)) {
         offending_elements <- which(adj_pthresholds <= 0)
-        stop(paste0("'adj_pthresholds' must have all elements > 0. ",
-                    "Offending elements at indices: ",
-                    paste(offending_elements, collapse = ", "),
-                    ". Values: ",
-                    paste(adj_pthresholds[offending_elements], collapse = ", "),
-                    "."),
-             call. = FALSE)
+        stop(
+          paste0(
+            "'adj_pthresholds' must have all elements > 0. ",
+            "Offending elements at indices: ",
+            paste(offending_elements, collapse = ", "),
+            ". Values: ",
+            paste(adj_pthresholds[offending_elements], collapse = ", "),
+            "."
+          ),
+          call. = FALSE
+        )
       }
-      
+
       # Check for elements >= 1
       if (any(adj_pthresholds >= 1)) {
         offending_elements <- which(adj_pthresholds >= 1)
-        stop(paste0("'adj_pthresholds' must have all elements < 1. ",
-                    "Offending elements at indices: ",
-                    paste(offending_elements, collapse = ", "),
-                    ". Values: ",
-                    paste(adj_pthresholds[offending_elements], collapse = ", "),
-                    "."),
-             call. = FALSE)
+        stop(
+          paste0(
+            "'adj_pthresholds' must have all elements < 1. ",
+            "Offending elements at indices: ",
+            paste(offending_elements, collapse = ", "),
+            ". Values: ",
+            paste(adj_pthresholds[offending_elements], collapse = ", "),
+            "."
+          ),
+          call. = FALSE
+        )
       }
-      
+
       return(TRUE)
     },
-    
-    
+
+
     #' Check adjusted p-value thresholds for limma category 2 and 3
     #'
     #' @description
-    #' This function checks that both adjusted p-value thresholds for 
-    #' average difference conditions and interaction condition time are 
+    #' This function checks that both adjusted p-value thresholds for
+    #' average difference conditions and interaction condition time are
     #' non-null, floats, and in the range [0, 1].
     #'
-    #' @return 
-    #' `NULL` if either argument is `NULL` or invalid. 
+    #' @return
+    #' `NULL` if either argument is `NULL` or invalid.
     #' Otherwise, no return value (assumed valid inputs).
     #'
     check_adj_pthresh_limma_category_2_3 = function() {
-      
-      adj_pthresh_avrg_diff_conditions <- 
+      adj_pthresh_avrg_diff_conditions <-
         self$args[["adj_pthresh_avrg_diff_conditions"]]
-      
-      adj_pthresh_interaction_condition_time <- 
+
+      adj_pthresh_interaction_condition_time <-
         self$args[["adj_pthresh_interaction_condition_time"]]
-      
+
       required_args <- list(
         adj_pthresh_avrg_diff_conditions,
         adj_pthresh_interaction_condition_time
-        )
-      
-      if (any(sapply(required_args, is.null))) {
+      )
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       # Check that both arguments are numeric and in the range [0, 1]
-      if (!all(sapply(required_args, function(arg) {
+      if (!all(vapply(required_args, function(arg) {
         is.numeric(arg) && arg >= 0 && arg <= 1
-      }))) {
+      }, logical(1)))) {
         stop_call_false(
-          "Both adj_pthresh_avrg_diff_conditions and", 
-          "adj_pthresh_interaction_condition_time must", 
+          "Both adj_pthresh_avrg_diff_conditions and",
+          "adj_pthresh_interaction_condition_time must",
           "be floats between 0 and 1."
-          )
+        )
       }
     },
-    
-    
+
+
     #' Check Clusters
     #'
     #' @description
-    #' This function verifies the cluster configurations within the object's 
+    #' This function verifies the cluster configurations within the object's
     #' arguments.
-    #' It checks if the clusters argument is present and performs validation 
-    #' on its 
-    #' content. If no clusters are specified, it defaults to automatic cluster 
+    #' It checks if the clusters argument is present and performs validation
+    #' on its
+    #' content. If no clusters are specified, it defaults to automatic cluster
     #' estimation.
     #'
     #' @details
     #' The function performs the following checks:
-    #' - If `clusters` is an integer or a vector of integers. Otherwise, it 
+    #' - If `clusters` is an integer or a vector of integers. Otherwise, it
     #'   gives an error.
     #'
     check_clusters = function() {
-      
       clusters <- self$args[["clusters"]]
       meta <- self$args[["meta"]]
       condition <- self$args[["condition"]]
-      
+
       required_args <- list(
         clusters,
         meta,
         condition
       )
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       # Get the unique number of elements in the condition column
       unique_conditions <- unique(meta[[condition]])
       num_unique_conditions <- length(unique_conditions)
-      
+
       # Check if clusters is a single integer or a vector of integers
       if (is.numeric(clusters) && all(clusters == as.integer(clusters))) {
-        
         # Ensure clusters has as many elements as unique conditions
         if (length(clusters) != num_unique_conditions) {
           stop_call_false(
-            "The number of elements in 'clusters' must match the number", 
+            "The number of elements in 'clusters' must match the number",
             "of unique elements in the '",
             condition, "' column of the meta dataframe ( There are",
             num_unique_conditions, "unique elements = levels)"
           )
         }
-        
+
         # If clusters is a single integer, ensure it is positive
         if (length(clusters) == 1 && clusters <= 0) {
           stop_call_false("clusters must be a positive integer.")
         }
-        
+
         # If clusters is a vector of integers, ensure all are positive
         if (length(clusters) > 1 && any(clusters <= 0)) {
           stop_call_false("All elements in clusters must be positive integers.")
         }
-        
       } else {
         stop_call_false(
           "clusters must be a single integer or a vector of integers."
-          )
+        )
       }
-      
     },
-    
-    
+
+
     #' Check Plot Info
     #'
     #' @description
-    #' This method checks the validity of the `plot_info` list. It ensures that 
-    #' `y_axis_label` and `time_unit` meet the length constraints, 
-    #' `treatment_labels` 
-    #' is either `NA` or a character vector with elements meeting the length 
-    #' constraint, 
-    #' and `treatment_timepoints` is either `NA` or a numeric vector with the 
-    #' same length 
+    #' This method checks the validity of the `plot_info` list. It ensures that
+    #' `y_axis_label` and `time_unit` meet the length constraints,
+    #' `treatment_labels`
+    #' is either `NA` or a character vector with elements meeting the length
+    #' constraint,
+    #' and `treatment_timepoints` is either `NA` or a numeric vector with the
+    #' same length
     #' as `treatment_labels`.
     #'
     #' @details
     #' The method performs the following checks:
-    #' 
+    #'
     #' * Ensures that `plot_info` is provided and not NULL.
     #' * Confirms that `y_axis_label` is a character vector with maximally 30
     #'  characters.
-    #' * Confirms that `time_unit` is a character vector with maximally 15 
+    #' * Confirms that `time_unit` is a character vector with maximally 15
     #' characters.
     #' * Validates that `treatment_labels` is either `NA` or a character vector
-    #'  with each 
+    #'  with each
     #'   element being maximally 15 characters long.
-    #' * Validates that `treatment_timepoints` is either `NA` or a numeric 
-    #' vector with the 
+    #' * Validates that `treatment_timepoints` is either `NA` or a numeric
+    #' vector with the
     #'   same length as `treatment_labels` if `treatment_labels` is not `NA`.
     #'
     #' If any of these checks fail, an informative error message is returned.
     #'
-    #' @return NULL if `plot_info` is not provided or invalid. Otherwise, 
+    #' @return NULL if `plot_info` is not provided or invalid. Otherwise,
     #' performs checks
     #' and potentially raises errors if checks fail.
     #'
     check_plot_info = function() {
-      
       plot_info <- self$args$plot_info
       meta <- self$args$meta
-      condition_column <- self$args[["condition"]] 
-      
+      condition_column <- self$args[["condition"]]
+
       required_args <- list(
         plot_info,
         meta,
         condition_column
       )
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       # Check y_axis_label
       if (!is.character(plot_info$y_axis_label) ||
-          nchar(plot_info$y_axis_label) > 40) {
+        nchar(plot_info$y_axis_label) > 40) {
         stop(
           "y_axis_label must be a string with maximally 40 characters",
           call. = FALSE
         )
       }
-      
+
       # Check time_unit
       if (!is.character(plot_info$time_unit) ||
-          nchar(plot_info$time_unit) > 15) {
+        nchar(plot_info$time_unit) > 15) {
         stop(
           "time_unit must be a string with maximally 15 characters",
           call. = FALSE
         )
       }
-      
+
       # Ensure treatment_labels and treatment_timepoints are lists
-      if (!is.list(plot_info$treatment_labels) || 
-          !is.list(plot_info$treatment_timepoints)) {
+      if (!is.list(plot_info$treatment_labels) ||
+        !is.list(plot_info$treatment_timepoints)) {
         stop(
           "treatment_labels and treatment_timepoints must be lists",
           call. = FALSE
         )
       }
-      
+
       # Check if the lists are named or not
       label_names <- names(plot_info$treatment_labels)
       timepoint_names <- names(plot_info$treatment_timepoints)
-      
+
       if (!is.null(label_names) || !is.null(timepoint_names)) {
-        
         # If one has names, both must have names
         if (is.null(label_names) || is.null(timepoint_names)) {
           stop(
-            "Both treatment_labels and treatment_timepoints must 
+            "Both treatment_labels and treatment_timepoints must
             be either fully named or not named",
             call. = FALSE
           )
         }
-        
+
         # Check if the names are present in the condition column of meta
         if (!all(label_names %in% meta[[condition_column]]) ||
-            !all(timepoint_names %in% meta[[condition_column]])) {
+          !all(timepoint_names %in% meta[[condition_column]])) {
           stop(
             "All names in treatment_labels and treatment_timepoints must
             be present in the condition column of the meta data",
             call. = FALSE
           )
         }
-        
+
         # Ensure that both lists have the same names
         if (!identical(label_names, timepoint_names)) {
           stop(
-            "treatment_labels and treatment_timepoints must have 
+            "treatment_labels and treatment_timepoints must have
             identical names",
             call. = FALSE
           )
         }
-        
       } else {
-        
         # If unnamed, ensure there's only one element
-        if (length(plot_info$treatment_labels) != 1 
-            || length(plot_info$treatment_timepoints) != 1) {
+        if (length(plot_info$treatment_labels) != 1 ||
+          length(plot_info$treatment_timepoints) != 1) {
           stop(
             "If treatment_labels and treatment_timepoints are unnamed,
             they must contain only a single element",
@@ -1053,7 +1147,7 @@ InputControl <- R6::R6Class("InputControl",
           }
         }
       }
-      
+
       # Check elements of treatment_timepoints
       for (timepoint in plot_info$treatment_timepoints) {
         if (!any(!is.na(timepoint))) {
@@ -1065,20 +1159,20 @@ InputControl <- R6::R6Class("InputControl",
           }
         }
       }
-      
+
       # Ensure that the lengths match if both are non-NA
-      if (!any(is.na(plot_info$treatment_labels)) 
-          && !any(is.na(plot_info$treatment_timepoints))) {
-        if (length(plot_info$treatment_labels) 
-            != length(plot_info$treatment_timepoints)) {
+      if (!any(is.na(plot_info$treatment_labels)) &&
+        !any(is.na(plot_info$treatment_timepoints))) {
+        if (length(plot_info$treatment_labels)
+        != length(plot_info$treatment_timepoints)) {
           stop(
-            "treatment_labels and treatment_timepoints must have the 
+            "treatment_labels and treatment_timepoints must have the
             same number of elements",
             call. = FALSE
           )
         }
       }
-      
+
       # Ensure treatment_timepoints are within valid range
       max_time <- max(meta$Time, na.rm = TRUE)
       for (timepoint in plot_info$treatment_timepoints) {
@@ -1087,67 +1181,68 @@ InputControl <- R6::R6Class("InputControl",
             paste(
               "All treatment_timepoints must be before the last timepoint:",
               max_time
-              ),
+            ),
             call. = FALSE
           )
         }
       }
     },
-    
-    
+
+
     #' Check plot options
     #'
     #' @description
-    #' This method checks if the `plot_options` list contains the required 
-    #' elements 
-    #' `meta_replicate_column` and `cluster_heatmap_columns`. It validates that 
-    #' `cluster_heatmap_columns` is either TRUE or FALSE, and that 
+    #' This method checks if the `plot_options` list contains the required
+    #' elements
+    #' `meta_replicate_column` and `cluster_heatmap_columns`. It validates that
+    #' `cluster_heatmap_columns` is either TRUE or FALSE, and that
     #' `meta_replicate_column` is a valid column name in the `meta` dataframe.
     #' If the checks fail, the script stops with an error message.
     #'
     check_plot_options = function() {
-      
       plot_options <- self$args[["plot_options"]]
       meta <- self$args[["meta"]]
-      
+
       required_args <- list(
         plot_options,
         meta
       )
-      
+
       # Check if any required arguments are NULL
-      if (any(sapply(required_args, is.null))) {
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       # Ensure at least one of the required elements is present in plot_options
       if (!any(c("meta_replicate_column", "cluster_heatmap_columns") %in% names(plot_options))) {
         stop_call_false("At least one of 'meta_replicate_column' or 'cluster_heatmap_columns' must be present in plot_options")
       }
-      
+
       # Check if meta_replicate_column is present, and if so, validate it
       if ("meta_replicate_column" %in% names(plot_options)) {
-        if (!is.character(plot_options[["meta_replicate_column"]]) || 
-            length(plot_options[["meta_replicate_column"]]) != 1) {
+        if (!is.character(plot_options[["meta_replicate_column"]]) ||
+          length(plot_options[["meta_replicate_column"]]) != 1) {
           stop_call_false("'meta_replicate_column' must be a single string")
         }
-        
+
         if (!plot_options[["meta_replicate_column"]] %in% colnames(meta)) {
-          stop_call_false("The value of 'meta_replicate_column' does not exist in",
-                          "the meta dataframe")
+          stop_call_false(
+            "The value of 'meta_replicate_column' does not exist in",
+            "the meta dataframe"
+          )
         }
       }
-      
+
       # Check if cluster_heatmap_columns is present, and if so, validate it
       if ("cluster_heatmap_columns" %in% names(plot_options)) {
-        if (!is.logical(plot_options[["cluster_heatmap_columns"]]) || 
-            length(plot_options[["cluster_heatmap_columns"]]) != 1) {
+        if (!is.logical(plot_options[["cluster_heatmap_columns"]]) ||
+          length(plot_options[["cluster_heatmap_columns"]]) != 1) {
           stop_call_false("'cluster_heatmap_columns' must be TRUE or FALSE")
         }
       }
     },
-    
-    
+
+
     #' Check and Create Report Directory
     #'
     #' @description
@@ -1156,7 +1251,7 @@ InputControl <- R6::R6Class("InputControl",
     #' If the directory does not exist, it attempts to create it. If there are
     #'  any
     #' warnings or
-    #' errors during directory creation, the function stops execution and 
+    #' errors during directory creation, the function stops execution and
     #' returns
     #' an error message.
     #'
@@ -1169,97 +1264,105 @@ InputControl <- R6::R6Class("InputControl",
     #' valid.
     #'
     check_report_dir = function() {
-      
       report_dir <- self$args[["report_dir"]]
-      
+
       if (is.null(report_dir)) {
         # some functions just have a different name.
-        report_dir <- self$args$output_dir  
+        report_dir <- self$args$output_dir
       }
-      
+
       required_args <- list(report_dir)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       # Attempt to create the directory if it does not exist
       if (!file.exists(report_dir)) {
-        tryCatch({
-          dir.create(report_dir, recursive = TRUE)
-        }, warning = function(w) {
-          stop_call_false(
-            sprintf("Warning occurred while creating the directory: %s", 
-                    w$message)
+        tryCatch(
+          {
+            dir.create(report_dir, recursive = TRUE)
+          },
+          warning = function(w) {
+            stop_call_false(
+              sprintf(
+                "Warning occurred while creating the directory: %s",
+                w$message
+              )
             )
-        }, error = function(e) {
-          stop_call_false(
-            sprintf("Error occurred while creating the directory: %s", 
-                    e$message)
+          },
+          error = function(e) {
+            stop_call_false(
+              sprintf(
+                "Error occurred while creating the directory: %s",
+                e$message
+              )
             )
-        })
+          }
+        )
       }
-      
+
       # Verify that the directory exists and is a directory
       if (!file.exists(report_dir) || !file.info(report_dir)$isdir) {
         stop_call_false(
-          sprintf("The specified path is not a valid directory: %s", 
-                  report_dir)
+          sprintf(
+            "The specified path is not a valid directory: %s",
+            report_dir
           )
+        )
       }
-      
+
       return(TRUE)
     },
-    
-    
+
+
     #' Check Genes Validity
     #'
     #' @description
-    #' This function checks the validity of the `data` and `genes` arguments 
-    #' within the `self$args` list. It ensures that `genes` is a character 
-    #' vector, 
-    #' that neither `data` nor `genes` is `NULL`, and that the length of `genes` 
+    #' This function checks the validity of the `data` and `genes` arguments
+    #' within the `self$args` list. It ensures that `genes` is a character
+    #' vector,
+    #' that neither `data` nor `genes` is `NULL`, and that the length of `genes`
     #' matches the number of rows in `data`.
     #'
-    #' @return Returns `TRUE` if all checks pass. Returns `NULL` if any required 
-    #' arguments are `NULL`. Throws an error if `genes` is not a character 
-    #' vector 
+    #' @return Returns `TRUE` if all checks pass. Returns `NULL` if any required
+    #' arguments are `NULL`. Throws an error if `genes` is not a character
+    #' vector
     #' or if the length of `genes` does not match the number of rows in `data`.
-    #' 
+    #'
     check_genes = function() {
-
       data <- self$args$data
       genes <- self$args$genes
 
       required_args <- list(data, genes)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       if (!is.character(genes)) {
         stop(paste0("genes must be a character vector"), call. = FALSE)
       }
-      
+
       if (length(genes) != nrow(data)) {
         stop(paste0("length(genes) must be equal to nrow(data)"), call. = FALSE)
       }
     },
-    
-    
+
+
     #' Check p-Adjustment Method
     #'
     #' @description
-    #' This function checks if the provided p-adjustment method is valid. The 
+    #' This function checks if the provided p-adjustment method is valid. The
     #' valid
     #' methods are:
-    #' "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", and 
+    #' "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", and
     #' "none".
     #' If the method
     #' is not one of these, the function stops execution and returns an error
     #'  message.
     #'
-    #' @param padjust_method A character string specifying the p-adjustment 
+    #' @param padjust_method A character string specifying the p-adjustment
     #' method.
     #' Valid options
     #' are "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", and
@@ -1270,30 +1373,33 @@ InputControl <- R6::R6Class("InputControl",
     #' returns an error message if the method is invalid.
     #'
     check_padjust_method = function() {
-      
       padjust_method <- self$args$padjust_method
-      
+
       required_args <- list(padjust_method)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       supported_methods <- stats::p.adjust.methods
       if (!(is.character(padjust_method) &&
-            padjust_method %in% supported_methods)) {
-        stop(sprintf(paste("padjust_method must be a character and one of the",
-                           "supported methods (%s).",
-                           paste(supported_methods, collapse = ", "))),
-             call. = FALSE)
+        padjust_method %in% supported_methods)) {
+        stop(
+          sprintf(paste(
+            "padjust_method must be a character and one of the",
+            "supported methods (%s).",
+            paste(supported_methods, collapse = ", ")
+          )),
+          call. = FALSE
+        )
       }
     },
-    
-    
+
+
     #' Check Report Information
     #'
     #' @description
-    #' Validates the report information to ensure it contains all mandatory 
+    #' Validates the report information to ensure it contains all mandatory
     #' fields
     #' and adheres to the required formats.
     #'
@@ -1303,15 +1409,14 @@ InputControl <- R6::R6Class("InputControl",
     #' thrown.
     #'
     check_report_info = function() {
-      
       report_info <- self$args[["report_info"]]
-      
+
       required_args <- list(report_info)
-      
-      if (any(sapply(required_args, is.null))) {
+
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
-      
+
       mandatory_fields <- c(
         "omics_data_type",
         "data_description",
@@ -1319,93 +1424,101 @@ InputControl <- R6::R6Class("InputControl",
         "analyst_name",
         "contact_info",
         "project_name"
-        )
-      
+      )
+
       all_fields <- c(
         mandatory_fields,
         "method_description",
         "results_summary",
         "conclusions"
-        )
-      
+      )
+
       # Check if report_info is a named list
       if (!is.list(report_info) || is.null(names(report_info))) {
-        stop("report_info must be a named list.",
-             call. = FALSE)
+        stop_call_false("report_info must be a named list.")
       }
-      
+
       # Check if all values in report_info are strings
-      non_string_fields <- sapply(report_info, function(x) !is.character(x))
+      non_string_fields <- vapply(
+        report_info,
+        function(x) !is.character(x),
+        logical(1)
+      )
+
       if (any(non_string_fields)) {
         invalid_fields <- names(report_info)[non_string_fields]
-        stop(paste("The following fields in report_info must be strings:", 
-                   paste(invalid_fields, collapse = ", ")),
-             call. = FALSE)
+        stop_call_false(paste(
+          "The following fields in report_info must be strings:",
+          paste(invalid_fields, collapse = ", ")
+        ))
       }
-      
+
       # Check if all mandatory fields are present
       missing_fields <- setdiff(mandatory_fields, names(report_info))
       if (length(missing_fields) > 0) {
-        stop(paste("Missing mandatory fields in report_info:",
-                   paste(missing_fields, collapse = ", ")),
-             call. = FALSE)
+        stop_call_false(paste(
+          "Missing mandatory fields in report_info:",
+          paste(missing_fields, collapse = ", ")
+        ))
       }
-      
+
       # Check if there are any extra fields not in all_fields
       extra_fields <- setdiff(names(report_info), all_fields)
       if (length(extra_fields) > 0) {
-        stop(paste("The following fields in report_info are not recognized:",
-                   paste(extra_fields, collapse = ", ")),
-             call. = FALSE)
+        stop_call_false(paste(
+          "The following fields in report_info are not recognized:",
+          paste(extra_fields, collapse = ", ")
+        ))
       }
-      
+
       # Check omics_data_type format
       if (!grepl("^[a-zA-Z_]+$", report_info[["omics_data_type"]])) {
-        stop(paste("The 'omics_data_type' field must contain only alphabetic",
-                   "letters and underscores."),
-             call. = FALSE)
+        stop_call_false(paste(
+          "The 'omics_data_type' field must contain only alphabetic",
+          "letters and underscores."
+        ))
       }
-      
+
       excluded_fields <- c(
         "data_description",
         "method_description",
         "results summary",
         "conclusions"
-        )  
-      excluded_limit <- 700  
-      
+      )
+      excluded_limit <- 700
+
       check_long_fields <- function(data,
                                     excluded_fields,
                                     excluded_limit) {
-        
-        long_fields <- sapply(data, function(x) {
+        long_fields <- vapply(data, function(x) {
           if (any(names(data) %in% excluded_fields)) {
             any(nchar(x) > excluded_limit)
           } else {
             any(nchar(x) > 70)
           }
-        })
+        }, logical(1))
         return(long_fields)
       }
-      
+
       # Check if any field exceeds 70 characters
       long_fields <- check_long_fields(
-        report_info, 
-        excluded_fields, 
+        report_info,
+        excluded_fields,
         excluded_limit
-        )
-      
+      )
+
       if (any(long_fields)) {
         too_long_fields <- names(report_info)[long_fields]
         stop(paste("The following fields have strings exceeding 70 characters:",
-                   paste(too_long_fields, collapse = ", "),
-                   sep = "\n"), call. = FALSE)
+          paste(too_long_fields, collapse = ", "),
+          sep = "\n"
+        ), call. = FALSE)
       }
-      
+
       return(TRUE)
     },
-    
-    
+
+
     #' Check Feature Name Columns
     #'
     #' @description
@@ -1431,44 +1544,43 @@ InputControl <- R6::R6Class("InputControl",
     #' names in the `annotation` data frame.
     #'
     check_feature_name_columns = function() {
-
       feature_name_columns <- self$args[["feature_name_columns"]]
       annotation <- self$args[["annotation"]]
 
       required_args <- list(
         feature_name_columns,
         annotation
-        )
+      )
 
-      if (any(sapply(required_args, is.null))) {
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
 
       # Check if every element in feature_name_columns is a character
       # of length 1
-      if (
-        !all(
-          sapply(
-            feature_name_columns,
-            function(x) is.character(x) && length(x) == 1)
-          )
-        ) {
-        stop(
-          paste("All elements of feature_name_columns must be characters",
-                "with length 1."),
-          call. = FALSE
+      if (!all(vapply(
+        feature_name_columns,
+        function(x) is.character(x) && length(x) == 1,
+        logical(1)
+      ))
+      ) {
+        stop_call_false(
+          paste(
+            "All elements of feature_name_columns must be characters",
+            "with length 1."
           )
+        )
       }
 
       # Check if all elements of feature_name_columns are column names
       # in annotation
       if (!all(feature_name_columns %in% colnames(annotation))) {
-        stop(
+        stop_call_false(
           paste(
             "All elements of feature_name_columns must be column names",
-            "in annotation."),
-          call. = FALSE
+            "in annotation."
           )
+        )
       }
     },
 
@@ -1488,12 +1600,11 @@ InputControl <- R6::R6Class("InputControl",
     #' an error.
     #'
     check_report = function() {
-
       report <- self$args[["report"]]
 
       required_args <- list(report)
 
-      if (any(sapply(required_args, is.null))) {
+      if (any(vapply(required_args, is.null, logical(1)))) {
         return(NULL)
       }
 
@@ -1517,956 +1628,1005 @@ InputControl <- R6::R6Class("InputControl",
 #' @seealso \code{\link{InputControl}}
 #'
 Level2Functions <- R6::R6Class("Level2Functions",
- inherit = Level3Functions,
-
- public = list(
-
-   #' Check Data Matrix
-   #'
-   #' @description
-   #' This function checks the validity of the data matrix, ensuring that it
-   #' is a
-   #' matrix, contains only numeric values,
-   #' has no missing values, and all elements are non-negative. Additionally, it
-   #' verifies that no rows or columns are
-   #' entirely zeros.
-   #'
-   #' @param data A dataframe containing numeric values.
-   #' @param data_meta_index An optional parameter specifying the index of the
-   #'  data
-   #' for error messages. Default is NA.
-   #'
-   #' @return Returns TRUE if all checks pass. Stops execution and returns an
-   #' error
-   #' message if any check fails.
-   #'
-   check_data = function(
-    data,
-    data_meta_index = NULL
-    ) {
-
-     if (!is.matrix(data) || !is.numeric(data)) {
-       stop(
-         self$create_error_message(
-           "data must be a numeric matrix.",
-           data_meta_index
-           ),
-         call. = FALSE
-         )
-     }
-
-     # Check for missing values
-     if (any(is.na(data))) {
-       stop(self$create_error_message(
-         "data must not contain missing values.",
-         data_meta_index
-         ),
-            call. = FALSE)
-     }
-
-     # Check for non-negative values
-     if (any(data < 0)) {
-       stop(
-         self$create_error_message(
-           paste(
-             "All elements of data must be non-negative. The elements should",
-             "represent concentrations, abundances, or",
-             "intensities (which are inherently non-negative)."
-             ),
-            data_meta_index),
-            call. = FALSE)
-     }
-
-     # Check for rows with all zeros
-     if (any(rowSums(data) == 0)) {
-       stop(
-         self$create_error_message(
-           "data must not contain rows with all zeros!",
-           data_meta_index),
-            call. = FALSE)
-     }
-
-     # Check for columns with all zeros
-     if (any(colSums(data) == 0)) {
-       stop(self$create_error_message(paste(
-         "data must not contain columns with all zeros!"),
-                                      data_meta_index),
-            call. = FALSE)
-     }
-
-     # Check if row headers (rownames) are present and non-null
-     row_headers <- rownames(data)
-     if (is.null(row_headers)) {
-       stop(self$create_error_message(
-         "The data matrix must have row headers!",
-         data_meta_index),
-         call. = FALSE)
-     }
-
-     return(TRUE)
-   },
-
-
-   #' Check Metadata
-   #'
-   #' @description
-   #' This function checks the validity of the metadata dataframe, ensuring it
-   #' contains the 'Time' column,
-   #' does not contain missing values, and that the specified condition column
-   #'  is
-   #' valid and of the appropriate type.
-   #' Additionally, it checks for an optional batch effect column and prints
-   #' messages regarding its use.
-   #'
-   #' @param meta A dataframe containing the metadata, including the 'Time'
-   #' column.
-   #' @param condition A single character string specifying the column name
-   #' in the
-   #' meta dataframe to be checked.
-   #' @param meta_batch_column An optional parameter specifying the column
-   #' name in
-   #'  the meta dataframe used to remove the batch effect. Default is NA.
-   #' @param meta_batch2_column An optional parameter specifying the column
-   #'  name in
-   #'  the meta dataframe used to remove the batch effect. Default is NA.
-   #' @param data_meta_index An optional parameter specifying the index of the
-   #' data/meta pair for error messages. Default is NA.
-   #'
-   #' @return Returns TRUE if all checks pass. Stops execution and returns an
-   #' error message if any check fails.
-   #'
-   check_meta = function(
-    meta,
-    condition,
-    meta_batch_column = NULL,
-    meta_batch2_column = NULL,
-    data_meta_index = NULL
-    ) {
-
-     if (!is.data.frame(meta) ||
-         !"Time" %in% names(meta) ||
-         !is.numeric(meta[["Time"]])) {
-       stop(self$create_error_message(
-         paste("meta must be a dataframe with the numeric column Time"),
-         data_meta_index
-         ), 
-         call. = FALSE)
-     }
-
-     if (any(is.na(meta))) {
-       stop(self$create_error_message(
-         "meta must not contain missing values.",
-         data_meta_index
-         ),
-         call. = FALSE)
-     }
-
-     # Check if condition is a single character
-     if (!is.character(condition) || length(condition) != 1) {
-       stop("'condition' must be a single character",
-            call. = FALSE)
-     }
-
-     # Check if condition is a column in the meta dataframe
-     if (!condition %in% colnames(meta)) {
-       stop(self$create_error_message(
-         sprintf(
-           "The condition '%s' is not a %s",
-           condition,
-           paste("column in meta")
-           ),
-         data_meta_index), call. = FALSE)
-     }
-
-     # Check if the factor column is of appropriate type
-     if (!is.factor(meta[[condition]]) &&
-         !is.character(meta[[condition]])) {
-       stop(self$create_error_message(
-       sprintf("The factor column '%s' must be of type
-                 factor or character.", condition),
-                                      data_meta_index),
-            call. = FALSE)
-     }
-
-     # Check condition and time pattern consistency
-     self$check_condition_time_consistency(meta, condition)
-
-     if (!is.character(meta_batch2_column)) {
-       meta_batch2_column <- NULL
-     }
-
-     if (is.null(meta_batch_column) && !is.null(meta_batch2_column)) {
-       stop(paste("For removing the batch effect, batch2 can only be used when",
-                  "batch is used!"), call. = FALSE)
-     }
-
-     if (!is.null(meta_batch_column)) {
-       if (is.character(meta_batch_column)) {
-
-         if (meta_batch_column == "Time" || meta_batch_column == condition) {
-           stop(paste("meta_batch_column must not be == 'Time' or", condition),
-                call. = FALSE)
-         }
-
-         self$check_batch_column(
-           meta,
-           meta_batch_column,
-           data_meta_index
-           )
-       } else {
-         stop(
-           "meta_batch_column must be a character",
-           call. = FALSE
-           )
-       }
-     }
-
-     if (!is.null(meta_batch2_column)) {
-       if (is.character(meta_batch2_column)) {
-
-       if (meta_batch2_column == "Time" || meta_batch2_column == condition) {
-         stop(paste("meta_batch2_column must not be == 'Time' or", condition),
-              call. = FALSE)
-       }
-
-       if (meta_batch_column == meta_batch2_column) {
-         stop(paste("meta_batch_column must not be equal to",
-                    "meta_batch2_column"),
-              call. = FALSE)
-       }
-
-       self$check_batch_column(meta,
-                               meta_batch2_column,
-                               data_meta_index)
-       } else {
-         stop(
-           "meta_batch2_column must be a character",
-           call. = FALSE
-         )
-       }
-     }
-
-     return(TRUE)
-   },
-
-
-   #' Check Dataframe
-   #'
-   #' @description
-   #' Validates that the dataframe contains all required columns with the
-   #' correct data types.
-   #'
-   #' @param df A dataframe to check.
-   #'
-   #' @return TRUE if the dataframe is valid, otherwise an error is thrown.
-   #'
-   check_dataframe = function(df) {
-
-     # Define the required columns and their expected types
-     required_columns <- list(
-       AveExpr = "numeric",
-       P.Value = "numeric",
-       adj.P.Val = "numeric",
-       feature_nr = "integer",
-       feature_names = "character",
-       intercept = "numeric"
-     )
-
-     # Check if all required columns are present
-     missing_columns <- setdiff(names(required_columns), names(df))
-     if (length(missing_columns) > 0) {
-       stop(paste("Missing columns in top_table:",
-                  paste(missing_columns, collapse = ", ")),
-            call. = FALSE)
-     }
-
-     # Check if columns have the correct type
-     for (col in names(required_columns)) {
-       if (!inherits(df[[col]], required_columns[[col]])) {
-         stop(paste("top_table column", col, "must be of type",
-                    required_columns[[col]]),
-              call. = FALSE)
-       }
-     }
-
-     return(TRUE)
-   },
-
-
-   #' Check Spline Parameters Generally
-   #'
-   #' @description
-   #' Validates the general structure and contents of spline parameters.
-   #'
-   #' @param spline_params A list of spline parameters.
-   #'
-   #' @return No return value, called for side effects.
-   #'
-   check_spline_params_generally = function(spline_params) {
-
-     allowed_fields <- c("spline_type", "degree", "dof")
-
-     if (!all(names(spline_params) %in% allowed_fields)) {
-       stop(
-         paste(
-           "spline_params contains invalid fields. Only 'spline_type',",
-           "'degree', and 'dof' are allowed."
-         ), call. = FALSE
-       )
-     }
-
-     # Check if spline_type exists and contains valid values
-     if ("spline_type" %in% names(spline_params)) {
-       if (!all(spline_params$spline_type %in% c("b", "n"))) {
-         stop(
-           paste(
-            "Elements of spline_type must be either 'b' for B-splines",
-            "or 'n' for natural cubic splines."),
-           call. = FALSE
-         )
-       }
-     } else {
-       stop("spline_type is missing in spline_params.", call. = FALSE)
-     }
-
-     # Check if degree exists and is an integer vector for B-splines,
-     # and NA for natural splines
-     if ("degree" %in% names(spline_params)) {
-       for (i in seq_along(spline_params$spline_type)) {
-         if (spline_params$spline_type[i] == "b" &&
-             (!is.integer(spline_params$degree[i])
-              || is.na(spline_params$degree[i]))) {
-           stop(
-             paste(
-               "Degree must be specified as an integer for",
-               "B-splines in spline_params."
-               ),
-             call. = FALSE)
-         }
-         if (spline_params$spline_type[i] == "n"
-             && !is.na(spline_params$degree[i])) {
-           stop(
-             paste(
-               "Degree must be NA for natural cubic",
-               "splines in spline_params."
-               ),
-             call. = FALSE)
-         }
-       }
-     } else if (all(spline_params$spline_type == 'b')) {
-       stop("degree is missing in spline_params.", call. = FALSE)
-     }
-
-     # Check if dof exists and is an integer vector
-     if ("dof" %in% names(spline_params)) {
-       if (!all(spline_params$dof == as.integer(spline_params$dof))) {
-         stop("dof must be an integer vector in spline_params.", call. = FALSE)
-       }
-       # Check for B-splines that dof is greater than 2
-       for (i in seq_along(spline_params$spline_type)) {
-         if (spline_params$spline_type[i] == "b"
-             && spline_params$dof[i] < 3) {
-           stop(
-             paste("B-splines require DoF > 2 for spline_type at index", i),
-             call. = FALSE
-             )
-         }
-       }
-     } else {
-       stop("dof is missing in spline_params.", call. = FALSE)
-     }
-   },
-
-
-   #' Check Spline Parameters Mode Dependent
-   #'
-   #' @description
-   #' Validates the spline parameters depending on the specified mode.
-   #'
-   #' @param spline_params A list of spline parameters.
-   #' @param mode A character string specifying the mode
-   #'            ('integrated' or 'isolated').
-   #' @param meta A dataframe containing metadata.
-   #' @param condition A character string specifying the condition.
-   #'
-   #' @return No return value, called for side effects.
-   #'
-   check_spline_params_mode_dependent = function(
-    spline_params,
-    mode,
-    meta,
-    condition
-    ) {
-     if (mode == "integrated") {
-       # Check that all parameters in spline_params have exactly
-       # one "logical" element
-       if (any(sapply(spline_params, function(x) {
-         # Atomic vectors (like numeric or character vectors)
-         # should count as 1 element
-         !is.atomic(x) && length(x) != 1
-       }))) {
-         stop(paste(
-           "All parameters in spline_params must have exactly one element",
-           "when mode is 'integrated'.",
-           "Different spline parameters for the different levels is not",
-           "supported for this mode."
-         ), call. = FALSE)
-       }
-
-       # # Additional check for 'knots' and 'bknots' if they exist
-       # if ("knots" %in% names(spline_params)) {
-       #   # Check if 'knots' is atomic (i.e., treat vectors as a single unit) or NA
-       #   if (!(is.atomic(spline_params$knots) || all(is.na(spline_params$knots)))) {
-       #     stop(
-       #       paste(
-       #         "All elements in 'knots' in spline_params must be atomic",
-       #         "or NA when mode is 'integrated'.",
-       #         "Different spline parameters for different levels are not",
-       #         "supported for this mode."
-       #       ),
-       #       call. = FALSE
-       #     )
-       #   }
-       # }
-       #
-       # if ("bknots" %in% names(spline_params)) {
-       #   # Check if 'bknots' is atomic (i.e., treat vectors as a single unit) or NA
-       #   if (!(is.atomic(spline_params$bknots) ||
-       #         all(is.na(spline_params$bknots)))) {
-       #     stop(
-       #       paste(
-       #         "All elements in 'bknots' in spline_params must be atomic or",
-       #         "NA when mode is 'integrated'.",
-       #         "Different spline parameters for different levels are not",
-       #         "supported for this mode."
-       #       ),
-       #       call. = FALSE
-       #     )
-       #   }
-       # }
-
-
-     } else if (mode == "isolated") {
-       num_levels <- length(unique(meta[[condition]]))
-         if (any(sapply(spline_params, length) != num_levels)) {
-           stop(paste(
-             "Each vector or list in spline_params must have as many",
-             "elements as there are unique elements in the ", condition,
-             "column of meta when mode is 'isolated'."
-             ),
-                call. = FALSE)
-         }
-       # if ("knots" %in% names(spline_params)) {
-       #   if (length(spline_params$knots) != num_levels) {
-       #     stop(
-       #       paste("'knots' in spline_params must have the same number of",
-       #             "elements as there are unique elements in the ", condition,
-       #             "column of meta when mode is 'isolated'."),
-       #          call. = FALSE)
-       #   }
-       # }
-       # if ("bknots" %in% names(spline_params)) {
-       #   if (length(spline_params$bknots) != num_levels) {
-       #     stop(
-       #       paste("'bknots' in spline_params must have the same number of",
-       #             "elements as there are unique elements in the ", condition,
-       #             "column of meta when mode is 'isolated'."),
-       #          call. = FALSE)
-       #   }
-       # }
-     }
-   },
-
-
-   #' Check Columns in Spline Test Configurations
-   #'
-   #' @description
-   #' Validates that the spline test configurations contain the required columns
-   #' in the correct order.
-   #'
-   #' @param spline_test_configs A dataframe containing spline test
-   #'  configurations.
-   #'
-   #' @return No return value, called for side effects.
-   #'
-   #' @keywords internal
-   #'
-   check_columns_spline_test_configs = function(spline_test_configs) {
-
-     required_columns <- c(
-       "spline_type",
-       "degree",
-       "dof"
-       # "knots",
-       # "bknots"
-       )
-
-     # Check for exact match of column names and order
-     if (!identical(names(spline_test_configs), required_columns)) {
-       # Find the missing or extra columns
-       missing_columns <- setdiff(required_columns, names(spline_test_configs))
-       extra_columns <- setdiff(names(spline_test_configs), required_columns)
-       error_message <- "Error: Incorrect columns in dataframe. "
-
-       # Append specific issues to the error message
-       if (length(missing_columns) > 0) {
-         error_message <- paste0(error_message, "Missing columns: ",
-                                 paste(missing_columns, collapse = ", "), ". ")
-       }
-       if (length(extra_columns) > 0) {
-         error_message <- paste0(error_message, "Extra columns: ",
-                                 paste(extra_columns, collapse = ", "), ". ")
-       }
-       error_message <- paste0(error_message,
-                               "Expected columns in order: ",
-                               paste(required_columns, collapse = ", "), ".")
-
-       stop(error_message)
-     }
-   },
-
-
-   #' Check Spline Type Column
-   #'
-   #' @description
-   #' Validates that the 'spline_type' column in the spline test configurations
-   #' contains only 'n' or 'b'.
-   #'
-   #' @param spline_test_configs A dataframe containing spline test
-   #' configurations.
-   #'
-   #' @return No return value, called for side effects.
-   #'
-   #' @keywords internal
-   #'
-   check_spline_type_column = function(spline_test_configs) {
-
-     if (!all(spline_test_configs$spline_type %in% c("n", "b"))) {
-       # Identify invalid entries
-       invalid_entries <- spline_test_configs$spline_type[
-         !spline_test_configs$spline_type %in% c("n", "b")
-       ]
-       error_message <- sprintf(
-         "Error: 'spline_type' contains invalid entries.
-        Only 'n' or 'b' are allowed. Invalid entries found: %s",
-         paste(unique(invalid_entries), collapse=", ")
-       )
-
-       stop(error_message)
-     }
-   },
-
-
-   #' Check Spline Type Parameters
-   #'
-   #' @description
-   #' Validates the parameters for each row in the spline test configurations
-   #' based on the spline type.
-   #'
-   #' @param spline_test_configs A dataframe containing spline test
-   #' configurations.
-   #'
-   #' @return TRUE if all checks pass, otherwise an error is thrown.
-   #'
-   #' @keywords internal
-   #'
-   check_spline_type_params = function(spline_test_configs) {
-
-     for (i in seq_len(nrow(spline_test_configs))) {
-       row <- spline_test_configs[i,]
-       switch(as.character(row$spline_type),
-              "n" = {
-                if (!is.na(row$degree))
-                  stop("degree must be NA for spline_type n")
-
-                # if (!((is.na(row$dof) && !is.na(row$knots)) ||
-                #       (!is.na(row$dof) && is.na(row$knots)))) {
-                #   stop("Either dof or knots must be NA, but not both, for
-                #     spline_type n")
-                # }
-
-                if (!is.integer(row$dof)) {
-                  stop("dof must be an integer when it is not NA for
-                    spline_type n")
-                }
-
-                # if (!is.na(row$knots) && !is.numeric(row$knots)) {
-                #   stop("knots must be a numeric vector when it is not NA for
-                #     spline_type n")
-                # }
-                # if (!is.na(row$bknots) && (!is.numeric(row$bknots) ||
-                #                            length(row$bknots) != 2)) {
-                #   stop("bknots must be a numeric vector of exactly two elements
-                #     or NA for spline_type n")
-                # }
-              },
-              "b" = {
-                if (!is.integer(row$degree)) stop("degree must be an integer for
-                                               spline_type b")
-                if (!is.na(row$dof) && (!is.integer(row$dof) ||
-                                        row$dof < row$degree)) {
-                  stop("dof must be an integer at least as big as degree for
-                    spline_type b")
-                }
-
-                # if (!is.na(row$knots) && !is.numeric(row$knots)) {
-                #   stop("knots must be a numeric vector when it is not NA for
-                #     spline_type b")
-                # }
-                # if (!is.na(row$bknots) && (!is.numeric(row$bknots) ||
-                #                            length(row$bknots) != 2)) {
-                #   stop("bknots must be a numeric vector of exactly two elements
-                #     or NA for spline_type b")
-                # }
-              },
-              stop("spline_type must be either 'n' or 'b'")
-       )
-     }
-     return(TRUE)
-   },
-
-
-   #' Check Maximum and Minimum Degrees of Freedom
-   #'
-   #' @description
-   #' Validates the degrees of freedom (DoF) for each row in the spline test
-   #' configurations based on the metadata.
-   #'
-   #' @param spline_test_configs A dataframe containing spline test
-   #' configurations.
-   #' @param metas A list of metadata corresponding to the data matrices.
-   #'
-   #' @return No return value, called for side effects.
-   #'
-   #' @keywords internal
-   #'
-   check_max_and_min_dof = function(
-    spline_test_configs,
-    metas
-    ) {
-
-     for (i in seq_len(nrow(spline_test_configs))) {
-       row <- spline_test_configs[i, ]
-       spline_type <- row[["spline_type"]]
-       dof <- row[["dof"]]
-       degree <- row[["degree"]]
-       knots <- row[["knots"]]
-
-       # Calculate k and DoF if dof is NA
-       if (is.na(dof)) {
-         k <- length(knots)
-         if (spline_type == "b") {
-           dof <- k + degree
-         } else if (spline_type == "n") {
-           dof <- k + 1
-         } else {
-           stop("Unknown spline type '", spline_type, "' at row ", i)
-         }
-       }
-
-       # Check if calculated or provided DoF is valid
-       if (dof < 2) {
-         stop("DoF must be at least 2, found DoF of ", dof, " at row ", i)
-       }
-
-       for (j in seq_along(metas)) {
-         meta <- metas[[j]]
-         nr_timepoints <- length(unique(meta$Time))
-         if (dof > nr_timepoints) {
-           stop("DoF (", dof, ") cannot exceed the number of unique time points
-           (", nr_timepoints, ") in meta", j, " at row ", i)
-         }
-       }
-
-     }
-
-     invisible(NULL)
-  },
-
-
-  #' Check Dataframe Columns
-  #'
-  #' This function checks if the columns of a dataframe match the expected
-  #' column names and their respective data types.
-  #'
-  #' @param df A dataframe to check.
-  #' @param expected_cols A character vector of expected column names.
-  #'
-  #' @return This function does not return a value. It stops execution if the
-  #' dataframe columns or their classes do not match the expected structure.
-  #'
-  check_columns = function(
-    df,
-    expected_cols
-    ) {
-
-    actual_cols <- names(df)
-    if (!all(expected_cols %in% actual_cols)) {
-      stop("Dataframe columns do not match expected structure",
-           call. = FALSE)
-    }
-    expected_classes <- c("numeric", "numeric", "numeric", "numeric",
-                          "numeric", "numeric", "integer", "character",
-                          "numeric")
-    actual_classes <- sapply(df, class)
-    if (!all(actual_classes == expected_classes)) {
-      stop("Dataframe column classes do not match expected classes",
-           call. = FALSE)
-    }
-  }
- )
-)
-
-
+  inherit = Level3Functions,
+  public = list(
 
-# Level3Functions class --------------------------------------------------------
+    #' Check Data Matrix
+    #'
+    #' @description
+    #' This function checks the validity of the data matrix, ensuring that it
+    #' is a
+    #' matrix, contains only numeric values,
+    #' has no missing values, and all elements are non-negative. Additionally, it
+    #' verifies that no rows or columns are
+    #' entirely zeros.
+    #'
+    #' @param data A dataframe containing numeric values.
+    #' @param data_meta_index An optional parameter specifying the index of the
+    #'  data
+    #' for error messages. Default is NA.
+    #'
+    #' @return Returns TRUE if all checks pass. Stops execution and returns an
+    #' error
+    #' message if any check fails.
+    #'
+    check_data = function(
+        data,
+        data_meta_index = NULL) {
+      if (!is.matrix(data) || !is.numeric(data)) {
+        stop(
+          self$create_error_message(
+            "data must be a numeric matrix.",
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
 
+      # Check for missing values
+      if (any(is.na(data))) {
+        stop(
+          self$create_error_message(
+            "data must not contain missing values.",
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
 
-#' Level3Functions: A class for level 3 utility functions
-#'
-#' This class provides methods for creating error messages and checking
+      # Check for non-negative values
+      if (any(data < 0)) {
+        stop(
+          self$create_error_message(
+            paste(
+              "All elements of data must be non-negative. The elements should",
+              "represent concentrations, abundances, or",
+              "intensities (which are inherently non-negative)."
+            ),
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
+
+      # Check for rows with all zeros
+      if (any(rowSums(data) == 0)) {
+        stop(
+          self$create_error_message(
+            "data must not contain rows with all zeros!",
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
+
+      # Check for columns with all zeros
+      if (any(colSums(data) == 0)) {
+        stop(
+          self$create_error_message(
+            paste(
+              "data must not contain columns with all zeros!"
+            ),
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
+
+      # Check if row headers (rownames) are present and non-null
+      row_headers <- rownames(data)
+      if (is.null(row_headers)) {
+        stop(
+          self$create_error_message(
+            "The data matrix must have row headers!",
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
+
+      return(TRUE)
+    },
+
+
+    #' Check Metadata
+    #'
+    #' @description
+    #' This function checks the validity of the metadata dataframe, ensuring it
+    #' contains the 'Time' column,
+    #' does not contain missing values, and that the specified condition column
+    #'  is
+    #' valid and of the appropriate type.
+    #' Additionally, it checks for an optional batch effect column and prints
+    #' messages regarding its use.
+    #'
+    #' @param meta A dataframe containing the metadata, including the 'Time'
+    #' column.
+    #' @param condition A single character string specifying the column name
+    #' in the
+    #' meta dataframe to be checked.
+    #' @param meta_batch_column An optional parameter specifying the column
+    #' name in
+    #'  the meta dataframe used to remove the batch effect. Default is NA.
+    #' @param meta_batch2_column An optional parameter specifying the column
+    #'  name in
+    #'  the meta dataframe used to remove the batch effect. Default is NA.
+    #' @param data_meta_index An optional parameter specifying the index of the
+    #' data/meta pair for error messages. Default is NA.
+    #'
+    #' @return Returns TRUE if all checks pass. Stops execution and returns an
+    #' error message if any check fails.
+    #'
+    check_meta = function(
+        meta,
+        condition,
+        meta_batch_column = NULL,
+        meta_batch2_column = NULL,
+        data_meta_index = NULL) {
+      if (!is.data.frame(meta) ||
+        !"Time" %in% names(meta) ||
+        !is.numeric(meta[["Time"]])) {
+        stop(
+          self$create_error_message(
+            paste("meta must be a dataframe with the numeric column Time"),
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
+
+      if (any(is.na(meta))) {
+        stop(
+          self$create_error_message(
+            "meta must not contain missing values.",
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
+
+      # Check if condition is a single character
+      if (!is.character(condition) || length(condition) != 1) {
+        stop("'condition' must be a single character",
+          call. = FALSE
+        )
+      }
+
+      # Check if condition is a column in the meta dataframe
+      if (!condition %in% colnames(meta)) {
+        stop(self$create_error_message(
+          sprintf(
+            "The condition '%s' is not a %s",
+            condition,
+            paste("column in meta")
+          ),
+          data_meta_index
+        ), call. = FALSE)
+      }
+
+      # Check if the factor column is of appropriate type
+      if (!is.factor(meta[[condition]]) &&
+        !is.character(meta[[condition]])) {
+        stop(
+          self$create_error_message(
+            sprintf("The factor column '%s' must be of type
+                 factor or character.", condition),
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      }
+
+      # Check condition and time pattern consistency
+      self$check_condition_time_consistency(meta, condition)
+
+      if (!is.character(meta_batch2_column)) {
+        meta_batch2_column <- NULL
+      }
+
+      if (is.null(meta_batch_column) && !is.null(meta_batch2_column)) {
+        stop(paste(
+          "For removing the batch effect, batch2 can only be used when",
+          "batch is used!"
+        ), call. = FALSE)
+      }
+
+      if (!is.null(meta_batch_column)) {
+        if (is.character(meta_batch_column)) {
+          if (meta_batch_column == "Time" || meta_batch_column == condition) {
+            stop(paste("meta_batch_column must not be == 'Time' or", condition),
+              call. = FALSE
+            )
+          }
+
+          self$check_batch_column(
+            meta,
+            meta_batch_column,
+            data_meta_index
+          )
+        } else {
+          stop(
+            "meta_batch_column must be a character",
+            call. = FALSE
+          )
+        }
+      }
+
+      if (!is.null(meta_batch2_column)) {
+        if (is.character(meta_batch2_column)) {
+          if (meta_batch2_column == "Time" || meta_batch2_column == condition) {
+            stop(paste("meta_batch2_column must not be == 'Time' or", condition),
+              call. = FALSE
+            )
+          }
+
+          if (meta_batch_column == meta_batch2_column) {
+            stop(
+              paste(
+                "meta_batch_column must not be equal to",
+                "meta_batch2_column"
+              ),
+              call. = FALSE
+            )
+          }
+
+          self$check_batch_column(
+            meta,
+            meta_batch2_column,
+            data_meta_index
+          )
+        } else {
+          stop(
+            "meta_batch2_column must be a character",
+            call. = FALSE
+          )
+        }
+      }
+
+      return(TRUE)
+    },
+
+
+    #' Check Dataframe
+    #'
+    #' @description
+    #' Validates that the dataframe contains all required columns with the
+    #' correct data types.
+    #'
+    #' @param df A dataframe to check.
+    #'
+    #' @return TRUE if the dataframe is valid, otherwise an error is thrown.
+    #'
+    check_dataframe = function(df) {
+      # Define the required columns and their expected types
+      required_columns <- list(
+        AveExpr = "numeric",
+        P.Value = "numeric",
+        adj.P.Val = "numeric",
+        feature_nr = "integer",
+        feature_names = "character",
+        intercept = "numeric"
+      )
+
+      # Check if all required columns are present
+      missing_columns <- setdiff(names(required_columns), names(df))
+      if (length(missing_columns) > 0) {
+        stop(
+          paste(
+            "Missing columns in top_table:",
+            paste(missing_columns, collapse = ", ")
+          ),
+          call. = FALSE
+        )
+      }
+
+      # Check if columns have the correct type
+      for (col in names(required_columns)) {
+        if (!inherits(df[[col]], required_columns[[col]])) {
+          stop(
+            paste(
+              "top_table column", col, "must be of type",
+              required_columns[[col]]
+            ),
+            call. = FALSE
+          )
+        }
+      }
+
+      return(TRUE)
+    },
+
+
+    #' Check Spline Parameters Generally
+    #'
+    #' @description
+    #' Validates the general structure and contents of spline parameters.
+    #'
+    #' @param spline_params A list of spline parameters.
+    #'
+    #' @return No return value, called for side effects.
+    #'
+    check_spline_params_generally = function(spline_params) {
+      allowed_fields <- c("spline_type", "degree", "dof")
+
+      if (!all(names(spline_params) %in% allowed_fields)) {
+        stop(
+          paste(
+            "spline_params contains invalid fields. Only 'spline_type',",
+            "'degree', and 'dof' are allowed."
+          ),
+          call. = FALSE
+        )
+      }
+
+      # Check if spline_type exists and contains valid values
+      if ("spline_type" %in% names(spline_params)) {
+        if (!all(spline_params$spline_type %in% c("b", "n"))) {
+          stop(
+            paste(
+              "Elements of spline_type must be either 'b' for B-splines",
+              "or 'n' for natural cubic splines."
+            ),
+            call. = FALSE
+          )
+        }
+      } else {
+        stop("spline_type is missing in spline_params.", call. = FALSE)
+      }
+
+      # Check if degree exists and is an integer vector for B-splines,
+      # and NA for natural splines
+      if ("degree" %in% names(spline_params)) {
+        for (i in seq_along(spline_params$spline_type)) {
+          if (spline_params$spline_type[i] == "b" &&
+            (!is.integer(spline_params$degree[i]) ||
+              is.na(spline_params$degree[i]))) {
+            stop(
+              paste(
+                "Degree must be specified as an integer for",
+                "B-splines in spline_params."
+              ),
+              call. = FALSE
+            )
+          }
+          if (spline_params$spline_type[i] == "n" &&
+            !is.na(spline_params$degree[i])) {
+            stop(
+              paste(
+                "Degree must be NA for natural cubic",
+                "splines in spline_params."
+              ),
+              call. = FALSE
+            )
+          }
+        }
+      } else if (all(spline_params$spline_type == "b")) {
+        stop("degree is missing in spline_params.", call. = FALSE)
+      }
+
+      # Check if dof exists and is an integer vector
+      if ("dof" %in% names(spline_params)) {
+        if (!all(spline_params$dof == as.integer(spline_params$dof))) {
+          stop("dof must be an integer vector in spline_params.", call. = FALSE)
+        }
+        # Check for B-splines that dof is greater than 2
+        for (i in seq_along(spline_params$spline_type)) {
+          if (spline_params$spline_type[i] == "b" &&
+            spline_params$dof[i] < 3) {
+            stop(
+              paste("B-splines require DoF > 2 for spline_type at index", i),
+              call. = FALSE
+            )
+          }
+        }
+      } else {
+        stop("dof is missing in spline_params.", call. = FALSE)
+      }
+    },
+
+
+    #' Check Spline Parameters Mode Dependent
+    #'
+    #' @description
+    #' Validates the spline parameters depending on the specified mode.
+    #'
+    #' @param spline_params A list of spline parameters.
+    #' @param mode A character string specifying the mode
+    #'            ('integrated' or 'isolated').
+    #' @param meta A dataframe containing metadata.
+    #' @param condition A character string specifying the condition.
+    #'
+    #' @return No return value, called for side effects.
+    #'
+    check_spline_params_mode_dependent = function(
+        spline_params,
+        mode,
+        meta,
+        condition) {
+      if (mode == "integrated") {
+        # Check that all parameters in spline_params have exactly
+        # one "logical" element
+        if (any(vapply(spline_params, function(x) {
+          # Atomic vectors (like numeric or character vectors)
+          # should count as 1 element
+          !is.atomic(x) && length(x) != 1
+        }, logical(1)))) {
+          stop(paste(
+            "All parameters in spline_params must have exactly one element",
+            "when mode is 'integrated'.",
+            "Different spline parameters for the different levels is not",
+            "supported for this mode."
+          ), call. = FALSE)
+        }
+
+        # # Additional check for 'knots' and 'bknots' if they exist
+        # if ("knots" %in% names(spline_params)) {
+        #   # Check if 'knots' is atomic (i.e., treat vectors as a single unit) or NA
+        #   if (!(is.atomic(spline_params$knots) || all(is.na(spline_params$knots)))) {
+        #     stop(
+        #       paste(
+        #         "All elements in 'knots' in spline_params must be atomic",
+        #         "or NA when mode is 'integrated'.",
+        #         "Different spline parameters for different levels are not",
+        #         "supported for this mode."
+        #       ),
+        #       call. = FALSE
+        #     )
+        #   }
+        # }
+        #
+        # if ("bknots" %in% names(spline_params)) {
+        #   # Check if 'bknots' is atomic (i.e., treat vectors as a single unit) or NA
+        #   if (!(is.atomic(spline_params$bknots) ||
+        #         all(is.na(spline_params$bknots)))) {
+        #     stop(
+        #       paste(
+        #         "All elements in 'bknots' in spline_params must be atomic or",
+        #         "NA when mode is 'integrated'.",
+        #         "Different spline parameters for different levels are not",
+        #         "supported for this mode."
+        #       ),
+        #       call. = FALSE
+        #     )
+        #   }
+        # }
+      } else if (mode == "isolated") {
+        num_levels <- length(unique(meta[[condition]]))
+        if (any(vapply(spline_params, length, integer(1)) != num_levels)) {
+          stop_call_false(paste(
+            "Each vector or list in spline_params must have as many",
+            "elements as there are unique elements in the ", condition,
+            "column of meta when mode is 'isolated'."
+          ))
+        }
+        # if ("knots" %in% names(spline_params)) {
+        #   if (length(spline_params$knots) != num_levels) {
+        #     stop(
+        #       paste("'knots' in spline_params must have the same number of",
+        #             "elements as there are unique elements in the ", condition,
+        #             "column of meta when mode is 'isolated'."),
+        #          call. = FALSE)
+        #   }
+        # }
+        # if ("bknots" %in% names(spline_params)) {
+        #   if (length(spline_params$bknots) != num_levels) {
+        #     stop(
+        #       paste("'bknots' in spline_params must have the same number of",
+        #             "elements as there are unique elements in the ", condition,
+        #             "column of meta when mode is 'isolated'."),
+        #          call. = FALSE)
+        #   }
+        # }
+      }
+    },
+
+
+    #' Check Columns in Spline Test Configurations
+    #'
+    #' @description
+    #' Validates that the spline test configurations contain the required columns
+    #' in the correct order.
+    #'
+    #' @param spline_test_configs A dataframe containing spline test
+    #'  configurations.
+    #'
+    #' @return No return value, called for side effects.
+    #'
+    #' @keywords internal
+    #'
+    check_columns_spline_test_configs = function(spline_test_configs) {
+      required_columns <- c(
+        "spline_type",
+        "degree",
+        "dof"
+        # "knots",
+        # "bknots"
+      )
+
+      # Check for exact match of column names and order
+      if (!identical(names(spline_test_configs), required_columns)) {
+        # Find the missing or extra columns
+        missing_columns <- setdiff(required_columns, names(spline_test_configs))
+        extra_columns <- setdiff(names(spline_test_configs), required_columns)
+        error_message <- "Error: Incorrect columns in dataframe. "
+
+        # Append specific issues to the error message
+        if (length(missing_columns) > 0) {
+          error_message <- paste0(
+            error_message, "Missing columns: ",
+            paste(missing_columns, collapse = ", "), ". "
+          )
+        }
+        if (length(extra_columns) > 0) {
+          error_message <- paste0(
+            error_message, "Extra columns: ",
+            paste(extra_columns, collapse = ", "), ". "
+          )
+        }
+        error_message <- paste0(
+          error_message,
+          "Expected columns in order: ",
+          paste(required_columns, collapse = ", "), "."
+        )
+
+        stop(error_message)
+      }
+    },
+
+
+    #' Check Spline Type Column
+    #'
+    #' @description
+    #' Validates that the 'spline_type' column in the spline test configurations
+    #' contains only 'n' or 'b'.
+    #'
+    #' @param spline_test_configs A dataframe containing spline test
+    #' configurations.
+    #'
+    #' @return No return value, called for side effects.
+    #'
+    #' @keywords internal
+    #'
+    check_spline_type_column = function(spline_test_configs) {
+      if (!all(spline_test_configs$spline_type %in% c("n", "b"))) {
+        # Identify invalid entries
+        invalid_entries <- spline_test_configs$spline_type[
+          !spline_test_configs$spline_type %in% c("n", "b")
+        ]
+        error_message <- sprintf(
+          "Error: 'spline_type' contains invalid entries.
+        Only 'n' or 'b' are allowed. Invalid entries found: %s",
+          paste(unique(invalid_entries), collapse = ", ")
+        )
+
+        stop(error_message)
+      }
+    },
+
+
+    #' Check Spline Type Parameters
+    #'
+    #' @description
+    #' Validates the parameters for each row in the spline test configurations
+    #' based on the spline type.
+    #'
+    #' @param spline_test_configs A dataframe containing spline test
+    #' configurations.
+    #'
+    #' @return TRUE if all checks pass, otherwise an error is thrown.
+    #'
+    #' @keywords internal
+    #'
+    check_spline_type_params = function(spline_test_configs) {
+      for (i in seq_len(nrow(spline_test_configs))) {
+        row <- spline_test_configs[i, ]
+        switch(as.character(row$spline_type),
+          "n" = {
+            if (!is.na(row$degree)) {
+              stop("degree must be NA for spline_type n")
+            }
+
+            # if (!((is.na(row$dof) && !is.na(row$knots)) ||
+            #       (!is.na(row$dof) && is.na(row$knots)))) {
+            #   stop("Either dof or knots must be NA, but not both, for
+            #     spline_type n")
+            # }
+
+            if (!is.integer(row$dof)) {
+              stop("dof must be an integer when it is not NA for
+                    spline_type n")
+            }
+
+            # if (!is.na(row$knots) && !is.numeric(row$knots)) {
+            #   stop("knots must be a numeric vector when it is not NA for
+            #     spline_type n")
+            # }
+            # if (!is.na(row$bknots) && (!is.numeric(row$bknots) ||
+            #                            length(row$bknots) != 2)) {
+            #   stop("bknots must be a numeric vector of exactly two elements
+            #     or NA for spline_type n")
+            # }
+          },
+          "b" = {
+            if (!is.integer(row$degree)) stop("degree must be an integer for
+                                               spline_type b")
+            if (!is.na(row$dof) && (!is.integer(row$dof) ||
+              row$dof < row$degree)) {
+              stop("dof must be an integer at least as big as degree for
+                    spline_type b")
+            }
+
+            # if (!is.na(row$knots) && !is.numeric(row$knots)) {
+            #   stop("knots must be a numeric vector when it is not NA for
+            #     spline_type b")
+            # }
+            # if (!is.na(row$bknots) && (!is.numeric(row$bknots) ||
+            #                            length(row$bknots) != 2)) {
+            #   stop("bknots must be a numeric vector of exactly two elements
+            #     or NA for spline_type b")
+            # }
+          },
+          stop("spline_type must be either 'n' or 'b'")
+        )
+      }
+      return(TRUE)
+    },
+
+
+    #' Check Maximum and Minimum Degrees of Freedom
+    #'
+    #' @description
+    #' Validates the degrees of freedom (DoF) for each row in the spline test
+    #' configurations based on the metadata.
+    #'
+    #' @param spline_test_configs A dataframe containing spline test
+    #' configurations.
+    #' @param metas A list of metadata corresponding to the data matrices.
+    #'
+    #' @return No return value, called for side effects.
+    #'
+    #' @keywords internal
+    #'
+    check_max_and_min_dof = function(
+        spline_test_configs,
+        metas) {
+      for (i in seq_len(nrow(spline_test_configs))) {
+        row <- spline_test_configs[i, ]
+        spline_type <- row[["spline_type"]]
+        dof <- row[["dof"]]
+        degree <- row[["degree"]]
+        knots <- row[["knots"]]
+
+        # Calculate k and DoF if dof is NA
+        if (is.na(dof)) {
+          k <- length(knots)
+          if (spline_type == "b") {
+            dof <- k + degree
+          } else if (spline_type == "n") {
+            dof <- k + 1
+          } else {
+            stop("Unknown spline type '", spline_type, "' at row ", i)
+          }
+        }
+
+        # Check if calculated or provided DoF is valid
+        if (dof < 2) {
+          stop("DoF must be at least 2, found DoF of ", dof, " at row ", i)
+        }
+
+        for (j in seq_along(metas)) {
+          meta <- metas[[j]]
+          nr_timepoints <- length(unique(meta$Time))
+          if (dof > nr_timepoints) {
+            stop("DoF (", dof, ") cannot exceed the number of unique time points
+           (", nr_timepoints, ") in meta", j, " at row ", i)
+          }
+        }
+      }
+
+      invisible(NULL)
+    },
+
+
+    #' Check Dataframe Columns
+    #'
+    #' This function checks if the columns of a dataframe match the expected
+    #' column names and their respective data types.
+    #'
+    #' @param df A dataframe to check.
+    #' @param expected_cols A character vector of expected column names.
+    #'
+    #' @return This function does not return a value. It stops execution if the
+    #' dataframe columns or their classes do not match the expected structure.
+    #'
+    check_columns = function(
+        df,
+        expected_cols) {
+      actual_cols <- names(df)
+      if (!all(expected_cols %in% actual_cols)) {
+        stop_call_false("Dataframe columns do not match expected structure")
+      }
+      expected_classes <- c(
+        "numeric",
+        "numeric",
+        "numeric",
+        "numeric",
+        "numeric",
+        "numeric",
+        "integer",
+        "character",
+        "numeric"
+      )
+      actual_classes <- vapply(df, class, character(1))
+      if (!all(actual_classes == expected_classes)) {
+        stop_call_false("Dataframe column classes do not match expected classes")
+      }
+    }
+  )
+)
+
+
+
+# Level3Functions class --------------------------------------------------------
+
+
+#' Level3Functions: A class for level 3 utility functions
+#'
+#' This class provides methods for creating error messages and checking
 #' batch columns.
 #'
 #' @seealso \code{\link{Level2Functions}}
 #'
 Level3Functions <- R6::R6Class("Level3Functions",
+  inherit = Level4Functions,
+  public = list(
+
+    #' Check the structure of a voom object
+    #'
+    #' @description
+    #' This function checks the structure of a `voom` object to ensure that it
+    #' contains
+    #' all the expected components and that these components have the correct
+    #' types
+    #' and dimensions. The function does not check the actual data within the
+    #' matrices.
+    #'
+    #' @param voom_obj A list representing a `voom` object, typically created
+    #' by the
+    #'   `voom` function from the `limma` package.
+    #'
+    #' @details
+    #' The function verifies that the `voom` object contains the following
+    #' components:
+    #' - `E`: A matrix of log2-counts per million (logCPM) values.
+    #' - `weights`: A matrix of observation-specific weights that matches the
+    #' dimensions of `E`.
+    #' - `design`: A matrix representing the design matrix used in the linear
+    #' modeling,
+    #'   with the same number of rows as there are columns in `E`.
+    #'
+    #' The function also checks for optional components such as:
+    #' - `genes`: A data frame of gene annotations.
+    #' - `targets`: A data frame of target information.
+    #' - `sample.weights`: A numeric vector of sample-specific weights.
+    #'
+    #' If any of these checks fail, the function stops and reports the issues.
+    #' If the structure is valid, a message confirming the validity is printed.
+    #'
+    #' @return Boolean TRUE or FALSE. However, the function is mostly called for
+    #' its side effects, which stop the script if the structure is not valid.
+    #'
+    check_voom_structure = function(voom_obj) {
+      # Initialize a list to collect any issues found
+      issues <- list()
+
+      # Check if the input is a list
+      if (!is.list(voom_obj)) {
+        stop("The input is not a list. A voom object should be a list.")
+      }
+
+      # Check for the presence of the expected components
+      expected_components <- c("E", "weights", "design")
+      for (comp in expected_components) {
+        if (!comp %in% names(voom_obj)) {
+          issues <- c(issues, paste("Missing component:", comp))
+        }
+      }
+
+      # Check that 'E' is a matrix
+      if ("E" %in% names(voom_obj) && !is.matrix(voom_obj$E)) {
+        issues <- c(issues, "'E' should be a matrix.")
+      }
 
- inherit = Level4Functions,
-
- public = list(
-
-   #' Check the structure of a voom object
-   #'
-   #' @description
-   #' This function checks the structure of a `voom` object to ensure that it
-   #' contains
-   #' all the expected components and that these components have the correct
-   #' types
-   #' and dimensions. The function does not check the actual data within the
-   #' matrices.
-   #'
-   #' @param voom_obj A list representing a `voom` object, typically created
-   #' by the
-   #'   `voom` function from the `limma` package.
-   #'
-   #' @details
-   #' The function verifies that the `voom` object contains the following
-   #' components:
-   #' - `E`: A matrix of log2-counts per million (logCPM) values.
-   #' - `weights`: A matrix of observation-specific weights that matches the
-   #' dimensions of `E`.
-   #' - `design`: A matrix representing the design matrix used in the linear
-   #' modeling,
-   #'   with the same number of rows as there are columns in `E`.
-   #'
-   #' The function also checks for optional components such as:
-   #' - `genes`: A data frame of gene annotations.
-   #' - `targets`: A data frame of target information.
-   #' - `sample.weights`: A numeric vector of sample-specific weights.
-   #'
-   #' If any of these checks fail, the function stops and reports the issues.
-   #' If the structure is valid, a message confirming the validity is printed.
-   #'
-   #' @return Boolean TRUE or FALSE. However, the function is mostly called for
-   #' its side effects, which stop the script if the structure is not valid.
-   #'
-   check_voom_structure = function(voom_obj) {
-
-     # Initialize a list to collect any issues found
-     issues <- list()
-
-     # Check if the input is a list
-     if (!is.list(voom_obj)) {
-       stop("The input is not a list. A voom object should be a list.")
-     }
-
-     # Check for the presence of the expected components
-     expected_components <- c("E", "weights", "design")
-     for (comp in expected_components) {
-       if (!comp %in% names(voom_obj)) {
-         issues <- c(issues, paste("Missing component:", comp))
-       }
-     }
-
-     # Check that 'E' is a matrix
-     if ("E" %in% names(voom_obj) && !is.matrix(voom_obj$E)) {
-       issues <- c(issues, "'E' should be a matrix.")
-     }
-
-     # Check that 'weights' is a matrix and matches the dimensions of 'E'
-     if ("weights" %in% names(voom_obj)) {
-       if (!is.matrix(voom_obj$weights)) {
-         issues <- c(issues, "'weights' should be a matrix.")
-       } else if (!all(dim(voom_obj$weights) == dim(voom_obj$E))) {
-         issues <- c(
-           issues,
-           "'weights' dimensions do not match 'E' dimensions."
-           )
-       }
-     }
-
-     # Check that 'design' is a matrix and has the correct number of rows
-     if ("design" %in% names(voom_obj)) {
-       if (!is.matrix(voom_obj$design)) {
-         issues <- c(issues, "'design' should be a matrix.")
-       } else if (nrow(voom_obj$design) != ncol(voom_obj$E)) {
-         issues <- c(
-           issues,
-           "'design' matrix should have the same number of rows as the
+      # Check that 'weights' is a matrix and matches the dimensions of 'E'
+      if ("weights" %in% names(voom_obj)) {
+        if (!is.matrix(voom_obj$weights)) {
+          issues <- c(issues, "'weights' should be a matrix.")
+        } else if (!all(dim(voom_obj$weights) == dim(voom_obj$E))) {
+          issues <- c(
+            issues,
+            "'weights' dimensions do not match 'E' dimensions."
+          )
+        }
+      }
+
+      # Check that 'design' is a matrix and has the correct number of rows
+      if ("design" %in% names(voom_obj)) {
+        if (!is.matrix(voom_obj$design)) {
+          issues <- c(issues, "'design' should be a matrix.")
+        } else if (nrow(voom_obj$design) != ncol(voom_obj$E)) {
+          issues <- c(
+            issues,
+            "'design' matrix should have the same number of rows as the
            number of columns in 'E'."
-           )
-       }
-     }
-
-     # Optionally, check for the presence of other common components
-     if ("genes" %in% names(voom_obj) && !is.data.frame(voom_obj$genes)) {
-       issues <- c(issues, "'genes' should be a data frame.")
-     }
-
-     # Check for the presence of optional components like targets or
-     # sample weights
-     if ("targets" %in% names(voom_obj) && !is.data.frame(voom_obj$targets)) {
-       issues <- c(issues, "'targets' should be a data frame.")
-     }
-
-     if ("sample.weights" %in% names(voom_obj)
-         && !is.numeric(voom_obj$sample.weights)) {
-       issues <- c(issues, "'sample.weights' should be numeric.")
-     }
-
-     # Report results
-     if (length(issues) > 0) {
-       stop(
-         "The voom object failed the structure check:\n",
-         paste(
-           issues,
-           collapse = "\n"
-           ),
-         call. = FALSE
-         )
-     } else {
-       return(TRUE)
-     }
-   },
-
-
-   #' Check Batch Column
-   #'
-   #' @description
-   #' This method checks the batch column in the metadata and provides
-   #' appropriate messages.
-   #'
-   #' @param meta A dataframe containing metadata.
-   #' @param meta_batch_column A character string specifying the batch column
-   #'  in the metadata.
-   #' @param data_meta_index An optional parameter specifying the index of the
-   #'  data/meta pair. Default is NA.
-   #'
-   #' @return NULL. The method is used for its side effects of throwing errors
-   #' or printing messages.
-   #'
-   check_batch_column = function(
-    meta,
-    meta_batch_column,
-    data_meta_index
-    ) {
-
-     if (!is.null(meta_batch_column) && !(meta_batch_column %in% names(meta))) {
-       stop(self$create_error_message(sprintf("Batch effect column '%s' %s",
-                                              meta_batch_column,
-                                              "not found in meta"),
-                                      data_meta_index),
-            call. = FALSE)
-     } else if (!is.null(meta_batch_column)) {
-       if (!is.null(data_meta_index)) {
-         message(sprintf("Index: %s. %s",
-                         data_meta_index,
-                         paste("Column", meta_batch_column,
-                               "of meta will be used",
-                               "to remove the batch effect for the plotting")))
-       } else {
-         message(sprintf("Column '%s' of meta will be used to %s",
-                         meta_batch_column,
-                         paste("remove the batch effect for the plotting")))
-       }
-     } else {
-       if (!is.null(data_meta_index)) {
-         message(sprintf(
-           "Index: %s. Batch effect will NOT be removed for plotting!",
-           data_meta_index))
-       } else {
-         message("Batch effect will NOT be removed for plotting!")
-       }
-     }
-   },
-
-
-   #' Check Condition Time Consistency
-   #'
-   #' @description
-   #' This function checks whether the values in the `condition` column
-   #' have unique values for each block of identical `Time` values in the
-   #' `meta` dataframe.
-   #' Additionally, it ensures that every new block of a given time has a
-   #' new value
-   #' in the `condition` column.
-   #'
-   #' @param meta A dataframe containing the metadata, including the `Time`
-   #'  column.
-   #' @param condition A character string specifying the column name in `meta`
-   #'                  used to define groups for analysis.
-   #'
-   #' @return Logical TRUE if the condition values are consistent with the
-   #'  time series pattern.
-   #'
-   check_condition_time_consistency = function(
-    meta,
-    condition
-    ) {
-
-     # Get the unique times in the order they appear
-     unique_times <- unique(meta[["Time"]])
-
-     # Initialize a list to store previously seen conditions for each time
-     # segment
-     seen_conditions <- list()
-
-     # Iterate through each block of unique times
-     for (time in unique_times) {
-       # Get the indices for the current time segment
-       current_indices <- which(meta[["Time"]] == time)
-
-       # Get the condition values for the current time segment
-       current_conditions <- meta[current_indices, condition, drop = TRUE]
-
-       # Ensure that all conditions in the current segment are the same
-       if (length(unique(current_conditions)) != 2) {
-         stop(paste("Every block of identical time values in meta must",
-                    "have unique values in the column", condition),
-              call. = FALSE)
-       }
-
-       # Check if the condition value has been seen before for this time segment
-       if (!is.null(seen_conditions[[as.character(time)]])) {
-         if (current_conditions[1] %in% seen_conditions[[as.character(time)]]) {
-           stop(sprintf("Condition '%s' for time '%s' has been seen before.",
-                        current_conditions[1], time), call. = FALSE)
-         }
-       }
-
-       # Update the seen conditions for the current time segment
-       if (is.null(seen_conditions[[as.character(time)]])) {
-         seen_conditions[[as.character(time)]] <- character(0)
-       }
-       seen_conditions[[as.character(time)]] <- c(
-         seen_conditions[[as.character(time)]],
-         current_conditions[1]
-       )
-     }
-
-     return(TRUE)
-   }
- )
+          )
+        }
+      }
+
+      # Optionally, check for the presence of other common components
+      if ("genes" %in% names(voom_obj) && !is.data.frame(voom_obj$genes)) {
+        issues <- c(issues, "'genes' should be a data frame.")
+      }
+
+      # Check for the presence of optional components like targets or
+      # sample weights
+      if ("targets" %in% names(voom_obj) && !is.data.frame(voom_obj$targets)) {
+        issues <- c(issues, "'targets' should be a data frame.")
+      }
+
+      if ("sample.weights" %in% names(voom_obj) &&
+        !is.numeric(voom_obj$sample.weights)) {
+        issues <- c(issues, "'sample.weights' should be numeric.")
+      }
+
+      # Report results
+      if (length(issues) > 0) {
+        stop(
+          "The voom object failed the structure check:\n",
+          paste(
+            issues,
+            collapse = "\n"
+          ),
+          call. = FALSE
+        )
+      } else {
+        return(TRUE)
+      }
+    },
+
+
+    #' Check Batch Column
+    #'
+    #' @description
+    #' This method checks the batch column in the metadata and provides
+    #' appropriate messages.
+    #'
+    #' @param meta A dataframe containing metadata.
+    #' @param meta_batch_column A character string specifying the batch column
+    #'  in the metadata.
+    #' @param data_meta_index An optional parameter specifying the index of the
+    #'  data/meta pair. Default is NA.
+    #'
+    #' @return NULL. The method is used for its side effects of throwing errors
+    #' or printing messages.
+    #'
+    check_batch_column = function(
+        meta,
+        meta_batch_column,
+        data_meta_index) {
+      if (!is.null(meta_batch_column) && !(meta_batch_column %in% names(meta))) {
+        stop(
+          self$create_error_message(
+            sprintf(
+              "Batch effect column '%s' %s",
+              meta_batch_column,
+              "not found in meta"
+            ),
+            data_meta_index
+          ),
+          call. = FALSE
+        )
+      } else if (!is.null(meta_batch_column)) {
+        if (!is.null(data_meta_index)) {
+          message(sprintf(
+            "Index: %s. %s",
+            data_meta_index,
+            paste(
+              "Column", meta_batch_column,
+              "of meta will be used",
+              "to remove the batch effect for the plotting"
+            )
+          ))
+        } else {
+          message(sprintf(
+            "Column '%s' of meta will be used to %s",
+            meta_batch_column,
+            paste("remove the batch effect for the plotting")
+          ))
+        }
+      } else {
+        if (!is.null(data_meta_index)) {
+          message(sprintf(
+            "Index: %s. Batch effect will NOT be removed for plotting!",
+            data_meta_index
+          ))
+        } else {
+          message("Batch effect will NOT be removed for plotting!")
+        }
+      }
+    },
+
+
+    #' Check Condition Time Consistency
+    #'
+    #' @description
+    #' This function checks whether the values in the `condition` column
+    #' have unique values for each block of identical `Time` values in the
+    #' `meta` dataframe.
+    #' Additionally, it ensures that every new block of a given time has a
+    #' new value
+    #' in the `condition` column.
+    #'
+    #' @param meta A dataframe containing the metadata, including the `Time`
+    #'  column.
+    #' @param condition A character string specifying the column name in `meta`
+    #'                  used to define groups for analysis.
+    #'
+    #' @return Logical TRUE if the condition values are consistent with the
+    #'  time series pattern.
+    #'
+    check_condition_time_consistency = function(
+        meta,
+        condition) {
+      # Get the unique times in the order they appear
+      unique_times <- unique(meta[["Time"]])
+
+      # Initialize a list to store previously seen conditions for each time
+      # segment
+      seen_conditions <- list()
+
+      # Iterate through each block of unique times
+      for (time in unique_times) {
+        # Get the indices for the current time segment
+        current_indices <- which(meta[["Time"]] == time)
+
+        # Get the condition values for the current time segment
+        current_conditions <- meta[current_indices, condition, drop = TRUE]
+
+        # Ensure that all conditions in the current segment are the same
+        if (length(unique(current_conditions)) != 2) {
+          stop(
+            paste(
+              "Every block of identical time values in meta must",
+              "have unique values in the column", condition
+            ),
+            call. = FALSE
+          )
+        }
+
+        # Check if the condition value has been seen before for this time segment
+        if (!is.null(seen_conditions[[as.character(time)]])) {
+          if (current_conditions[1] %in% seen_conditions[[as.character(time)]]) {
+            stop(sprintf(
+              "Condition '%s' for time '%s' has been seen before.",
+              current_conditions[1], time
+            ), call. = FALSE)
+          }
+        }
+
+        # Update the seen conditions for the current time segment
+        if (is.null(seen_conditions[[as.character(time)]])) {
+          seen_conditions[[as.character(time)]] <- character(0)
+        }
+        seen_conditions[[as.character(time)]] <- c(
+          seen_conditions[[as.character(time)]],
+          current_conditions[1]
+        )
+      }
+
+      return(TRUE)
+    }
+  )
 )
 
 
@@ -2481,38 +2641,36 @@ Level3Functions <- R6::R6Class("Level3Functions",
 #' @seealso \code{\link{Level3Functions}}
 #'
 Level4Functions <- R6::R6Class("Level4Functions",
- public = list(
-
-   #' Create Error Message
-   #'
-   #' @description
-   #' This method creates a formatted error message that includes the index of
-   #' the data/meta pair if provided.
-   #' If no index is provided, it returns the message as is.
-   #'
-   #' @param message A character string specifying the error message.
-   #' @param data_meta_index An optional parameter specifying the index of the
-   #' data/meta pair for the error message. Default is NA.
-   #'
-   #' @return Returns a formatted error message string. If an index is provided,
-   #' the message includes the index; otherwise, it returns the message as is.
-   #'
-   create_error_message = function(
-    message,
-    data_meta_index = NULL
-    ) {
-
-     if (!is.null(data_meta_index)) {
-       return(sprintf(
-         "data/meta pair index %d: %s",
-         data_meta_index,
-         message
-         ))
-     } else {
-       return(message)
-     }
-   }
- )
+  public = list(
+
+    #' Create Error Message
+    #'
+    #' @description
+    #' This method creates a formatted error message that includes the index of
+    #' the data/meta pair if provided.
+    #' If no index is provided, it returns the message as is.
+    #'
+    #' @param message A character string specifying the error message.
+    #' @param data_meta_index An optional parameter specifying the index of the
+    #' data/meta pair for the error message. Default is NA.
+    #'
+    #' @return Returns a formatted error message string. If an index is provided,
+    #' the message includes the index; otherwise, it returns the message as is.
+    #'
+    create_error_message = function(
+        message,
+        data_meta_index = NULL) {
+      if (!is.null(data_meta_index)) {
+        return(sprintf(
+          "data/meta pair index %d: %s",
+          data_meta_index,
+          message
+        ))
+      } else {
+        return(message)
+      }
+    }
+  )
 )
 
 
@@ -2535,17 +2693,14 @@ Level4Functions <- R6::R6Class("Level4Functions",
 #'
 check_splineomics_elements <- function(
     splineomics,
-    func_type
-    ) {
-
-  required_elements <- switch(
-    func_type,
+    func_type) {
+  required_elements <- switch(func_type,
     "explore_data" = c(
       "data",
       "meta",
       "condition",
       "report_info"
-      ),
+    ),
     "screen_limma_hyperparams" = c(
       "condition",
       "report_info",
@@ -2573,36 +2728,34 @@ check_splineomics_elements <- function(
       "spline_params",
       "limma_splines_result"
     ),
-    stop(
-      "Invalid function type provided.",
-      call. = FALSE
-      )
-    )
+    stop_call_false("Invalid function type provided.")
+  )
 
   missing_elements <- required_elements[
-    !sapply(
+    !vapply(
       splineomics[required_elements],
-      function(x) !is.null(x)
-      )
-    ]
+      function(x) !is.null(x),
+      logical(1)
+    )
+  ]
 
   if (length(missing_elements) > 0) {
-    stop(paste(
+    stop_call_false(paste(
       "The following required elements for the function",
       func_type,
       "were not passed to the SplineOmics object:",
       paste(
         missing_elements,
         collapse = ", "
-        ),
+      ),
       "\nAll required elements for",
       func_type,
       "are:",
       paste(
         required_elements,
-        collapse = ", ")
-      ),
-      call. = FALSE)
+        collapse = ", "
+      )
+    ))
   }
 }
 
@@ -2620,13 +2773,14 @@ check_splineomics_elements <- function(
 #' any `NULL` elements are found in the input list.
 #'
 check_null_elements <- function(args) {
-
-  null_elements <- names(args)[sapply(args, is.null)]
+  null_elements <- names(args)[vapply(args, is.null, logical(1))]
 
   if (length(null_elements) > 0) {
     stop(
-      paste("The following function arguments are NULL:",
-            paste(null_elements, collapse = ", ")),
+      paste(
+        "The following function arguments are NULL:",
+        paste(null_elements, collapse = ", ")
+      ),
       call. = FALSE
     )
   }
diff --git a/R/utils_report_generation.R b/R/utils_report_generation.R
index 5236b9d..d9be578 100755
--- a/R/utils_report_generation.R
+++ b/R/utils_report_generation.R
@@ -1,4 +1,4 @@
-#' utils scripts contains shared functions that are used by at least two package 
+#' utils scripts contains shared functions that are used by at least two package
 #' functions of the SplineOmics package. The level separation is only valid
 #' internally in this script, and has no connection to the script level of the
 #' respective exported functions scripts.
@@ -9,7 +9,7 @@
 #' Generate Report HTML
 #'
 #' @description
-#' Generates an HTML report with the provided plots, spline parameters, and 
+#' Generates an HTML report with the provided plots, spline parameters, and
 #' report information.
 #'
 #' @param plots A list of ggplot2 plot objects.
@@ -32,18 +32,18 @@
 #'                        for each level.
 #' @param adj_pthresh_avrg_diff_conditions Float, only for cluster_hits()
 #' @param adj_pthresh_interaction_condition_time Float, only for cluster_hits()
-#' @param report_type A character string specifying the report type 
+#' @param report_type A character string specifying the report type
 #'                    ('screen_limma_hyperparams' or 'cluster_hits').
 #' @param feature_name_columns Character vector with the column names of the
-#'                             annotation information, such as the columns 
+#'                             annotation information, such as the columns
 #'                             containing the gene names. These column names
 #'                             are used to put the info in the HTML reports on
 #'                             how the descriptions above the individual spline
-#'                             plots where created. This is because those 
+#'                             plots where created. This is because those
 #'                             descriptions can be made up of several column
 #'                             values, and the specific columns are then stated
 #'                             in the HTML report on top (e.g gene_uniprotID).
-#' @param mode A character string specifying the mode 
+#' @param mode A character string specifying the mode
 #'            ('isolated' or 'integrated').
 #' @param filename A character string specifying the filename for the report.
 #' @param timestamp A timestamp to include in the report filename.
@@ -52,18 +52,18 @@
 #' @return No return value, called for side effects.
 #'
 #' @seealso
-#' \code{\link{build_hyperparams_screen_report}}, 
+#' \code{\link{build_hyperparams_screen_report}},
 #' \code{\link{build_cluster_hits_report}}
-#' 
+#'
 #' @importFrom here here
 #' @importFrom tools file_path_sans_ext
 #' @importFrom grDevices dev.off
-#' 
+#'
 generate_report_html <- function(
-    plots, 
-    plots_sizes, 
+    plots,
+    plots_sizes,
     report_info,
-    limma_result_2_and_3_plots = NULL,  # only for build_cluster_hits_report
+    limma_result_2_and_3_plots = NULL, # only for build_cluster_hits_report
     data = NULL,
     meta = NA,
     topTables = NA,
@@ -71,17 +71,17 @@ generate_report_html <- function(
     level_headers_info = NA,
     spline_params = NA,
     adj_pthresholds = NA,
-    adj_pthresh_avrg_diff_conditions = NA,  # only for cluster_hits()
-    adj_pthresh_interaction_condition_time = NA,  # only for cluster_hits()
+    adj_pthresh_avrg_diff_conditions = NA, # only for cluster_hits()
+    adj_pthresh_interaction_condition_time = NA, # only for cluster_hits()
     report_type = "explore_data",
-    feature_name_columns = NA,  # only for cluster_hits()
+    feature_name_columns = NA, # only for cluster_hits()
     mode = NA,
     filename = "report",
-    timestamp = format(Sys.time(), 
-                      "%d_%m_%Y-%H_%M_%S"),
-    report_dir = here::here()
-    ) {
-
+    timestamp = format(
+      Sys.time(),
+      "%d_%m_%Y-%H_%M_%S"
+    ),
+    report_dir = here::here()) {
   feature_names_formula <- ""
 
   if (report_type == "explore_data") {
@@ -92,82 +92,87 @@ generate_report_html <- function(
     }
   } else if (report_type == "screen_limma_hyperparams") {
     title <- paste("hyperparams screen |", filename)
-    
   } else if (report_type == "create_limma_report") {
     title <- "limma report"
-    
-  } else if (report_type == "cluster_hits") {                         
+  } else if (report_type == "cluster_hits") {
     title <- "clustered hits"
     feature_names_formula <- paste(
       feature_name_columns,
       collapse = "_"
-      )
-    
-  } else if (report_type == "create_gsea_report") {                         
+    )
+  } else if (report_type == "create_gsea_report") {
     title <- "gsea"
-    
   } else {
-    stop(paste("report_type must be explore_hits, screen_limma_hyperparams,", 
-               "create_limma_report, or cluster_hits"),
-         call. = FALSE)
+    stop(
+      paste(
+        "report_type must be explore_hits, screen_limma_hyperparams,",
+        "create_limma_report, or cluster_hits"
+      ),
+      call. = FALSE
+    )
   }
-  
+
   fields_to_format <- c(
     "data_description",
     "method_description",
     "results_summary",
     "conclusions"
-    )
-  
+  )
+
   for (field in fields_to_format) {
     if (field %in% names(report_info)) {
       report_info[[field]] <- format_text(report_info[[field]])
     }
   }
-  
+
   splineomics_version <- utils::packageVersion("SplineOmics")
   header_text <- paste(
-    title, 
-    paste("Omics-Datatype:", report_info$omics_data_type), 
-    paste("Date-Time:", timestamp), 
-    paste("SplineOmics Version:", splineomics_version), sep = " | "
-    )
+    title,
+    paste("Omics-Datatype:", report_info$omics_data_type),
+    paste("Date-Time:", timestamp),
+    paste("SplineOmics Version:", splineomics_version),
+    sep = " | "
+  )
   header_text <- paste(header_text, "<br><br><br>")
-  
+
   header_section <- get_header_section(
     title = title,
     header_text = header_text,
     report_type = report_type,
     feature_names_formula = feature_names_formula
-    )
-  
+  )
+
   report_info_fields <- c(
     "omics_data_type",
-    "data_description", 
+    "data_description",
     "data_collection_date",
     "meta_condition",
     "meta_batch",
     "limma_design",
     "mode",
-    "analyst_name", 
+    "analyst_name",
     "contact_info",
     "project_name",
     "method_description",
-    "results_summary", 
+    "results_summary",
     "conclusions"
-    )
+  )
 
   download_fields <- c()
-  if (!is.null(data)) download_fields <- c(
-    download_fields,
-    "data_with_annotation"
+  if (!is.null(data)) {
+    download_fields <- c(
+      download_fields,
+      "data_with_annotation"
     )
-  
-  if (!all(is.na(meta))) download_fields <- c(
-    download_fields,
-    "meta"
+  }
+
+  if (!all(is.na(meta))) {
+    download_fields <- c(
+      download_fields,
+      "meta"
     )
-  
+  }
+
   if (!all(is.na(topTables))) {
     download_fields <- c(
       download_fields,
@@ -178,32 +183,33 @@ generate_report_html <- function(
       }
     )
   }
-  
-  
+
+
   if (!all(is.na(enrichr_format))) {
     download_fields <- c(
       download_fields,
       "Enrichr_clustered_genes",
       "Enrichr_background"
-      )
+    )
   }
-  
+
   max_field_length <- max(nchar(gsub("_", " ", report_info_fields)))
-  
+
   report_info_section <- paste(
-    '<hr style="border: none; height: 3px;', 
-    'background-color: #333; margin: 40px 0;', 
-    'width: 75%;"> <h2 style="font-size: 48px;">', 
-    'Report Info \u2139</h2><table>', sep = ""
-    )
-  
+    '<hr style="border: none; height: 3px;',
+    "background-color: #333; margin: 40px 0;",
+    'width: 75%;"> <h2 style="font-size: 48px;">',
+    "Report Info \u2139</h2><table>",
+    sep = ""
+  )
+
   downloads_section <- paste(
-    '<hr><h2 style="font-size: 48px;">', 
-    'Downloads \U0001F4E5</h2><table>'
-    )
-  
-  report_info[["mode"]] <- mode  # Because mode is not part of report_info
-  
+    '<hr><h2 style="font-size: 48px;">',
+    "Downloads \U0001F4E5</h2><table>"
+  )
+
+  report_info[["mode"]] <- mode # Because mode is not part of report_info
+
   for (field in report_info_fields) {
     base64_df <- process_field(
       field,
@@ -212,32 +218,33 @@ generate_report_html <- function(
       topTables,
       report_info,
       encode_df_to_base64,
-      report_type, 
+      report_type,
       enrichr_format
-      )
-    
+    )
+
     field_display <- sprintf(
       "%-*s",
       max_field_length,
       gsub("_", " ", field)
-      )
-    
+    )
+
     report_info_section <- paste(
       report_info_section,
-      sprintf('<tr><td style="text-align: right;
+      sprintf(
+        '<tr><td style="text-align: right;
            color:blue; padding-right: 5px;">%s
            :</td><td>%s</td></tr>',
-             field_display, base64_df),
+        field_display, base64_df
+      ),
       sep = "\n"
-      )
+    )
   }
-  
+
   # Close the Report Info table
   report_info_section <- paste(report_info_section, "</table>", sep = "\n")
-  
+
   download_fields <- c(download_fields, "session_info")
   for (field in download_fields) {
-
     base64_df <- process_field(
       field,
       data,
@@ -247,72 +254,70 @@ generate_report_html <- function(
       encode_df_to_base64,
       report_type,
       enrichr_format
-      )
-    
+    )
+
     field_display <- sprintf("%-*s", max_field_length, gsub("_", " ", field))
     downloads_section <- paste(
       downloads_section,
-      sprintf('<tr><td style="text-align: right;
+      sprintf(
+        '<tr><td style="text-align: right;
            color:blue; padding-right: 5px;">%s
            :</td><td>%s</td></tr>',
-             field_display, base64_df),
+        field_display, base64_df
+      ),
       sep = "\n"
-      )
+    )
   }
-  
+
   # Close the Downloads table
   downloads_section <- paste(downloads_section, "</table>", sep = "\n")
-  
+
   # Preserve initial header_section content
   header_section <- paste(
     header_section,
     report_info_section,
-    downloads_section, sep = "\n"
-    )
-  
-  
+    downloads_section,
+    sep = "\n"
+  )
+
+
   if (report_type == "create_gsea_report") {
     databases_text <- paste(report_info$databases, collapse = ", ")
     header_section <- paste(
-      header_section, 
-      "<p style='font-size: 20px;'>Databases used: ", 
-      databases_text, 
-      "</p>", 
+      header_section,
+      "<p style='font-size: 20px;'>Databases used: ",
+      databases_text,
+      "</p>",
       sep = "\n"
-      )
+    )
   }
-  
+
   file_name <- sprintf(
     "%s_%s_%s.html",
     filename,
     report_info$omics_data_type,
     timestamp
-    )
-  
+  )
+
   output_file_path <- here::here(report_dir, file_name)
-  
+
   if (report_type == "explore_data") {
-    
     build_explore_data_report(
-      header_section = header_section, 
-      plots = plots, 
+      header_section = header_section,
+      plots = plots,
       plots_sizes = plots_sizes,
       report_info = report_info,
       output_file_path = output_file_path
-      )
-    
+    )
   } else if (report_type == "screen_limma_hyperparams") {
-    
     build_hyperparams_screen_report(
-      header_section = header_section, 
-      plots = plots, 
-      plots_sizes = plots_sizes, 
+      header_section = header_section,
+      plots = plots,
+      plots_sizes = plots_sizes,
       report_info = report_info,
       output_file_path = output_file_path
-      )
-    
+    )
   } else if (report_type == "create_limma_report") {
-    
     build_create_limma_report(
       header_section = header_section,
       plots = plots,
@@ -320,10 +325,8 @@ generate_report_html <- function(
       level_headers_info = level_headers_info,
       report_info = report_info,
       output_file_path = output_file_path
-      )
-    
+    )
   } else if (report_type == "create_gsea_report") {
-    
     build_create_gsea_report(
       header_section = header_section,
       plots = plots,
@@ -331,24 +334,23 @@ generate_report_html <- function(
       level_headers_info = level_headers_info,
       report_info = report_info,
       output_file_path = output_file_path
-      )
-    
-  } else {           # report_type == "cluster_hits"
+    )
+  } else { # report_type == "cluster_hits"
     build_cluster_hits_report(
-      header_section = header_section, 
-      plots = plots, 
+      header_section = header_section,
+      plots = plots,
       limma_result_2_and_3_plots = limma_result_2_and_3_plots,
       plots_sizes = plots_sizes,
       level_headers_info = level_headers_info,
       spline_params = spline_params,
       adj_pthresholds = adj_pthresholds,
       adj_pthresh_avrg_diff_conditions = adj_pthresh_avrg_diff_conditions,
-      adj_pthresh_interaction_condition_time = 
+      adj_pthresh_interaction_condition_time =
         adj_pthresh_interaction_condition_time,
       mode = mode,
       report_info = report_info,
       output_file_path = output_file_path
-      )
+    )
   }
 }
 
@@ -357,112 +359,110 @@ generate_report_html <- function(
 #'
 #' @description
 #' This function generates an HTML report by inserting a table of contents,
-#' embedding necessary JavaScript files, and writing the final HTML content 
+#' embedding necessary JavaScript files, and writing the final HTML content
 #' to a specified output file.
 #'
 #' @param toc A string containing the table of contents in HTML format.
-#' @param html_content A string containing the main HTML content with a 
+#' @param html_content A string containing the main HTML content with a
 #' placeholder for the table of contents.
-#' @param report_info A list containing report information such as 
+#' @param report_info A list containing report information such as
 #' `contact_info` and `analyst_name`.
-#' @param output_file_path A string specifying the path where the final 
+#' @param output_file_path A string specifying the path where the final
 #' HTML file will be written.
-#' 
+#'
 generate_and_write_html <- function(
     toc,
     html_content,
     report_info,
-    output_file_path
-) {
-  
+    output_file_path) {
   output_file_path <- normalizePath(
     output_file_path,
     mustWork = FALSE
-    )
-  
+  )
+
   # Close the Table of Contents
   toc <- paste(
     toc,
     "</ul></div>",
     sep = "\n"
-    )
-  
+  )
+
   # Insert the Table of Contents at the placeholder
   html_content <- gsub(
     "<!--TOC-->",
     toc,
     html_content
-    )
-  
+  )
+
   # Append a horizontal line after the TOC
   html_content <- gsub(
     "</ul></div>",
     "</ul></div>\n<hr>",
     html_content
-    )
-  
+  )
+
   # Path to the external JavaScript file within the package
   js_file_path <- normalizePath(
     system.file(
       "www/hotkeys.js",
       package = "SplineOmics"
-      ),
+    ),
     mustWork = FALSE
-    )
+  )
   if (js_file_path == "") {
     stop("JavaScript file not found.")
   }
-  
+
   # Read the JavaScript file and replace placeholders with actual values
   js_content <- readLines(
     js_file_path,
     encoding = "UTF-8"
-    )
+  )
   js_content <- gsub(
     "\\{\\{email\\}\\}",
     report_info$contact_info,
     js_content
-    )
+  )
   js_content <- gsub(
     "\\{\\{name\\}\\}",
     report_info$analyst_name,
     js_content
-    )
-  
+  )
+
   # Read the content of JSZip and FileSaver JavaScript files as text
   jszip_path <- normalizePath(
     system.file(
       "www/jszip.min.js",
       package = "SplineOmics"
-      ),
+    ),
     mustWork = FALSE
-    )
+  )
   filesaver_path <- normalizePath(
     system.file(
       "www/FileSaver.min.js",
       package = "SplineOmics"
-      ),
+    ),
     mustWork = FALSE
-    )
-  
+  )
+
   if (!file.exists(jszip_path)) {
     stop("JSZip file not found at: ", jszip_path)
   }
   if (!file.exists(filesaver_path)) {
     stop("FileSaver.js file not found at: ", filesaver_path)
   }
-  
+
   jszip_content <- readLines(
     jszip_path,
     encoding = "UTF-8",
     warn = FALSE
-    )
+  )
   filesaver_content <- readLines(
     filesaver_path,
     encoding = "UTF-8",
     warn = FALSE
-    )
-  
+  )
+
   # Combine all JavaScript content
   combined_js_content <- c(
     "<script>",
@@ -471,61 +471,61 @@ generate_and_write_html <- function(
     js_content,
     "</script>"
   )
-  
+
   # Properly escape special characters in JavaScript content
   combined_js_content <- paste(
     combined_js_content,
     collapse = "\n"
-    )
+  )
   combined_js_content <- gsub(
     "\\\\",
     "\\\\\\\\",
     combined_js_content
-    ) # Escape backslashes
-  combined_js_content <- gsub(    # Escape double quotes
+  ) # Escape backslashes
+  combined_js_content <- gsub( # Escape double quotes
     "\"",
     "\\\"",
     combined_js_content
-    )      
-  
+  )
+
   # Embed the combined JavaScript content before the closing body tag
   script_tag <- paste(
     combined_js_content,
     collapse = "\n"
-    )
+  )
   html_content <- gsub(
     "</body>",
     paste(
       script_tag,
       "</body>",
       sep = "\n"
-      ),
+    ),
     html_content
-    )
-  
+  )
+
   # Append the final closing tags for the HTML body and document
   html_content <- paste(
     html_content,
     "</body></html>",
     sep = "\n"
-    )
-  
+  )
+
   # Ensure the directory exists
   dir_path <- dirname(output_file_path)
   if (!dir.exists(dir_path)) {
     dir.create(dir_path, recursive = TRUE)
   }
-  
+
   con <- file(
     output_file_path,
     "w",
     encoding = "UTF-8"
-    )
+  )
   writeLines(
     html_content,
     con,
     useBytes = TRUE
-    )
+  )
   close(con)
 }
 
@@ -533,28 +533,27 @@ generate_and_write_html <- function(
 #' Read and split section texts from a file
 #'
 #' @description
-#' This internal function reads the contents of a text file located in the 
-#' `inst/descriptions` directory of the package and splits it into individual 
+#' This internal function reads the contents of a text file located in the
+#' `inst/descriptions` directory of the package and splits it into individual
 #' sections based on a specified delimiter.
 #'
-#' @param filename A character string specifying the name of the file 
-#' containing the section texts. The file should be located in the 
+#' @param filename A character string specifying the name of the file
+#' containing the section texts. The file should be located in the
 #' `inst/descriptions` directory of the package.
 #'
-#' @return A character vector where each element is a section of the text 
+#' @return A character vector where each element is a section of the text
 #' split by the delimiter `|`.
-#' 
+#'
 read_section_texts <- function(filename) {
-  
   file_path <- system.file(
     "descriptions",
     filename,
     package = "SplineOmics"
-    )
+  )
   content <- readLines(
     file_path,
     warn = FALSE
-    ) |> paste(collapse = " ")
+  ) |> paste(collapse = " ")
   # Split the content by the delimiter
   strsplit(content, "\\|")[[1]]
 }
@@ -567,19 +566,18 @@ read_section_texts <- function(filename) {
 #'
 #' @description
 #' This function takes a character vector `text` and splits it into individual
-#' characters. It then iterates over the characters and builds lines not 
+#' characters. It then iterates over the characters and builds lines not
 #' exceeding
 #' a specified character limit (default 70). Newlines are inserted between lines
 #' using the `<br>` tag, suitable for HTML display.
-#' 
+#'
 #' @param text A character vector to be formatted.
-#' 
+#'
 #' @return A character vector with formatted text containing line breaks.
-#' 
+#'
 format_text <- function(text) {
-
   letters <- strsplit(text, "")[[1]]
-  formatted_lines <- vector(mode = "character", length = 0)  
+  formatted_lines <- vector(mode = "character", length = 0)
   current_line <- ""
   for (char in letters) {
     if (nchar(current_line) + nchar(char) <= 70) {
@@ -589,7 +587,7 @@ format_text <- function(text) {
       current_line <- char
     }
   }
-  formatted_lines <- c(formatted_lines, current_line) 
+  formatted_lines <- c(formatted_lines, current_line)
   formatted_text <- paste(formatted_lines, collapse = "<br>")
 }
 
@@ -597,16 +595,16 @@ format_text <- function(text) {
 #' Get Header Section
 #'
 #' @description
-#' Generates the HTML header section for a report, including the title, header 
-#' text, and logo. This section also includes the styling for the table and 
+#' Generates the HTML header section for a report, including the title, header
+#' text, and logo. This section also includes the styling for the table and
 #' other HTML elements.
 #'
 #' @param title A string specifying the title of the HTML document.
-#' @param header_text A string specifying the text to be displayed in the 
+#' @param header_text A string specifying the text to be displayed in the
 #' header of the report.
 #' @param report_type A character specifying the type of HTML report.
-#' @param feature_names_formula String describing which columns of the 
-#'                              annotation info, such as gene and uniprotID, 
+#' @param feature_names_formula String describing which columns of the
+#'                              annotation info, such as gene and uniprotID,
 #'                              where used to construct the description above
 #'                              the individual spline plots. This is placed in
 #'                              the beginning of the output HTML reports.
@@ -614,72 +612,70 @@ format_text <- function(text) {
 #' @return A string containing the HTML header section.
 #'
 #' @details
-#' The function checks the `DEVTOOLS_LOAD` environment variable to determine 
-#' the path to the logo image. The logo image is then converted to a base64 
-#' data URI and included in the HTML. The header section includes styles for 
-#' tables, table cells, and header elements to ensure proper formatting and 
+#' The function checks the `DEVTOOLS_LOAD` environment variable to determine
+#' the path to the logo image. The logo image is then converted to a base64
+#' data URI and included in the HTML. The header section includes styles for
+#' tables, table cells, and header elements to ensure proper formatting and
 #' alignment.
 #'
 #' @importFrom base64enc dataURI
-#' 
+#'
 get_header_section <- function(
     title,
     header_text,
     report_type,
-    feature_names_formula
-    ) {
-
+    feature_names_formula) {
   if (feature_names_formula == "") {
     feature_names_formula <- "No feature name columns provided!"
   }
-  
+
   if (Sys.getenv("DEVTOOLS_LOAD") == "true") {
     logo_path <- file.path(
       "inst",
       "logos",
       "SplineOmics_logo.png"
-      )
+    )
   } else {
     logo_path <- system.file(
       "logos",
       "SplineOmics_logo.png",
       package = "SplineOmics"
-      )
+    )
   }
-  
+
   logo_base64 <- base64enc::dataURI(file = logo_path, mime = "image/png")
 
   header_section <- paste(
     "<html><head><title>", title, "</title>",
-    "<meta charset=\"UTF-8\">",  # Ensure UTF-8 encoding (JavaScript issues)
+    "<meta charset=\"UTF-8\">", # Ensure UTF-8 encoding (JavaScript issues)
     "<style>",
     "table {",
     "  font-size: 30px;",
     "}",
     "td {",
-    "  padding: 8px;",  # Adds padding to table cells for better readability
-    "  text-align: left;",  # Ensures text in cells is left-aligned
+    "  padding: 8px;", # Adds padding to table cells for better readability
+    "  text-align: left;", # Ensures text in cells is left-aligned
     "}",
     "td:first-child {",
-    "  text-align: right;",  # Right aligns the first column
-    "  color: blue;",        # Sets the color of the first column to blue
+    "  text-align: right;", # Right aligns the first column
+    "  color: blue;", # Sets the color of the first column to blue
     "}",
     "h1 {",
-    "  color: #333333;",  # Dark gray color for the title
+    "  color: #333333;", # Dark gray color for the title
     "  display: flex;",
-    "  align-items: center;",  # Aligns items vertically in the center
+    "  align-items: center;", # Aligns items vertically in the center
     "  justify-content: space-between;", # Ensures the logo is on the far right
-    "  margin-top: 0; margin-bottom: 0;",  # Reset margin to ensure no extra space
+    "  margin-top: 0; margin-bottom: 0;", # Reset margin to ensure no extra space
     "}",
     ".logo {",
-    "  position: absolute;",  # Position the logo absolutely
-    "  top: 60px;",           # Adjust the top position to move the logo down
-    "  right: 0;",            # Align with the right of the h1
-    "  width: 400px;",        # Adjust the width to make the logo smaller
-    "  height: auto;",        # Maintain aspect ratio
+    "  position: absolute;", # Position the logo absolutely
+    "  top: 60px;", # Adjust the top position to move the logo down
+    "  right: 0;", # Align with the right of the h1
+    "  width: 400px;", # Adjust the width to make the logo smaller
+    "  height: auto;", # Maintain aspect ratio
     "}",
     "hr {",
-    "  margin-top: 20px;",    # Space above the line
+    "  margin-top: 20px;", # Space above the line
     "  margin-bottom: 20px;", # Space below the line
     "}",
     "</style>",
@@ -689,115 +685,115 @@ get_header_section <- function(
     "<table>",
     sep = ""
   )
-  
-  note <- switch(
-    report_type,
+
+  note <- switch(report_type,
     "explore_data" = paste(
-      '<div style="border: 2px solid #f00; padding: 15px;', 
-      'position: relative; margin-bottom: 20px;', 
-      'background-color: #fee; font-family: Arial,', 
+      '<div style="border: 2px solid #f00; padding: 15px;',
+      "position: relative; margin-bottom: 20px;",
+      "background-color: #fee; font-family: Arial,",
       'sans-serif; width: 65%;">',
-      '<div style="position: absolute; top: -25px;', 
-      'right: -25px; transform: rotate(45deg);', 
-      'background-color: #f00; color: #fff;', 
-      'padding: 10px 15px; font-size: 2em;', 
+      '<div style="position: absolute; top: -25px;',
+      "right: -25px; transform: rotate(45deg);",
+      "background-color: #f00; color: #fff;",
+      "padding: 10px 15px; font-size: 2em;",
       'font-weight: bold; z-index: 1;">Note!</div>',
       '<p style="font-size: 2em;">',
       "This HTML report contains the exploratory",
-      "data analysis plots, (e.g. density plots) <br> Right-click on", 
+      "data analysis plots, (e.g. density plots) <br> Right-click on",
       "any plot in this report to save it as a .svg (vector graphic) file!</p>",
-      '</div>'
-      ),
+      "</div>"
+    ),
     "screen_limma_hyperparams" = '<p style="font-size: 2em;"></p>',
     "create_limma_report" = paste(
       '<div style="border: 2px solid #f00; padding: 15px; position: relative;',
-      'margin-bottom: 20px; background-color: #fee; font-family: Arial,',
+      "margin-bottom: 20px; background-color: #fee; font-family: Arial,",
       'sans-serif; width: 65%;">',
       '<div style="position: absolute; top: -25px; right: -25px; transform:',
-      'rotate(45deg); background-color: #f00; color: #fff; padding: 10px 15px;',
+      "rotate(45deg); background-color: #f00; color: #fff; padding: 10px 15px;",
       'font-size: 2em; font-weight: bold; z-index: 1;">Note!</div>',
       '<p style="font-size: 2em;">',
       "This HTML report contains plots visualizing the results from",
       "the limma topTables. <br> Right-click on",
       "any plot in this report to save it as a .svg (vector graphic) file!",
-      '<br><br>To understand the three limma result categories shown in this ',
-      'report, please <a href="', 
+      "<br><br>To understand the three limma result categories shown in this ",
+      'report, please <a href="',
       file.path(system.file(
         "descriptions",
-        "limma_result_categories.pdf", 
+        "limma_result_categories.pdf",
         package = "SplineOmics"
-        )),
+      )),
       '" download>download and review this PDF document</a><br><br>
       The grey shaded areas of the plots in this report cover the
       non-significant features!</p>',
-      '</div>'
+      "</div>"
     ),
     "cluster_hits" = paste(
-      '<div style="border: 2px solid #f00; padding: 15px;', 
-      'position: relative; margin-bottom: 20px;', 
+      '<div style="border: 2px solid #f00; padding: 15px;',
+      "position: relative; margin-bottom: 20px;",
       'background-color: #fee; font-family: Arial, sans-serif; width: 65%;">',
-      '<div style="position: absolute; top: -20px;', 
-      'right: -27px; transform: rotate(45deg);', 
-      'background-color: #f00; color: #fff; padding:', 
-      '10px 15px; font-size: 2em; font-weight: bold;', 
+      '<div style="position: absolute; top: -20px;',
+      "right: -27px; transform: rotate(45deg);",
+      "background-color: #f00; color: #fff; padding:",
+      "10px 15px; font-size: 2em; font-weight: bold;",
       'z-index: 1;">Note!</div>',
       '<p style="font-size: 1em;">',
-      '<ul style="font-size: 2em; padding-left: 20px;">',  # Keeps the default bullet points
-      '<li style="margin-bottom: 15px;">Clustering of features that show 
+      '<ul style="font-size: 2em; padding-left: 20px;">',
+      '<li style="margin-bottom: 15px;">Clustering of features that show
       significant changes over time (= hits).</li>',
-      '<li style="margin-bottom: 15px;">Clustering was done based on the 
+      '<li style="margin-bottom: 15px;">Clustering was done based on the
       min-max normalized shape of the spline.</li>',
-      '<li style="margin-bottom: 15px;">For this, the spline parameters in 
+      '<li style="margin-bottom: 15px;">For this, the spline parameters in
       the limma topTable are used to generate 1000 curve datapoints between
       0 and 1.</li>',
-      '<li style="margin-bottom: 15px;">These datapoints are used for 
+      '<li style="margin-bottom: 15px;">These datapoints are used for
       hierarchical clustering.</li>',
-      '<li style="margin-bottom: 15px;">Right-click on any plot in this 
+      '<li style="margin-bottom: 15px;">Right-click on any plot in this
       report to save it as a .svg (vector graphic) file!</li>',
-      '<li style="margin-bottom: 15px;">If one level of the experiment is 
+      '<li style="margin-bottom: 15px;">If one level of the experiment is
       not shown, it means it has < 2 hits!</li>',
-      '<li style="margin-bottom: 15px;">The "avg CV" value on top of all 
+      '<li style="margin-bottom: 15px;">The "avg CV" value on top of all
       individual spline plots is the average coefficient of variation across
-      all timepoints. For example, a value of 10% means that the timepoints, 
+      all timepoints. For example, a value of 10% means that the timepoints,
       on average, have a standard deviation of 10% of the mean.</li>',
-      '</ul>',
-      '</p>',
-      '</div>',
+      "</ul>",
+      "</p>",
+      "</div>",
       paste(
         '<span style="font-size:1.3em;">',
-        'feature_name "formula": ', 
-        '{annotation-column-x}_{annotation-column-y}_ ... :', 
-        '<br><b>', 
-        feature_names_formula, 
-        '</b></span>'
-      ),
-      '</div>'
+        'feature_name "formula": ',
+        "{annotation-column-x}_{annotation-column-y}_ ... :",
+        "<br><b>",
+        feature_names_formula,
+        "</b></span>"
       ),
-    "create_gsea_report" = '<p style="font-size: 2em;"></p>')
+      "</div>"
+    ),
+    "create_gsea_report" = '<p style="font-size: 2em;"></p>'
+  )
 
   hotkeys_box <- paste(
     '<div style="border: 2px solid #00f; padding: 15px;',
-    'position: relative; margin-bottom: 20px;',
-    'background-color: #eef; font-family: Arial,',
+    "position: relative; margin-bottom: 20px;",
+    "background-color: #eef; font-family: Arial,",
     'sans-serif; width: 65%;">',
     '<div style="position: absolute; top: -5px;',
-    'right: -65px; transform: rotate(45deg);',
-    'background-color: #00f; color: #fff;',
-    'padding: 10px 15px; font-size: 2em;',
+    "right: -65px; transform: rotate(45deg);",
+    "background-color: #00f; color: #fff;",
+    "padding: 10px 15px; font-size: 2em;",
     'font-weight: bold; z-index: 1;">Hotkeys</div>',
     '<p style="font-size: 2em;">',
     "Press:<br>",
-    "<b>t</b>  --> Jump to <b>Table of Contents</b> and save current scroll", 
+    "<b>t</b>  --> Jump to <b>Table of Contents</b> and save current scroll",
     "position \U0001F4D1<br>",
     "<b>s</b> --> <b>Save</b> current scroll position \U0001F4CC<br>",
     "<b>b</b> --> Jump <b>back</b> to saved position \U0001F519<br>",
     "<b>d</b> --> <b>Download</b> all embedded files as zip \U0001F4E5<br>",
     "<b>e</b> --> Write an <b>email</b> to contact info \u2709<br>",
-    '</p>',
-    '</div>'
+    "</p>",
+    "</div>"
   )
-  
-  
+
+
   header_section <- paste(
     header_section,
     "<p>", note, "</p>",
@@ -806,7 +802,7 @@ get_header_section <- function(
     "</body></html>",
     sep = ""
   )
-  
+
   return(header_section)
 }
 
@@ -814,97 +810,99 @@ get_header_section <- function(
 #' Encode DataFrame to Base64 for HTML Embedding
 #'
 #' @description
-#' This function takes a dataframe as input and returns a base64 encoded 
-#' CSV object. The encoded object can be embedded into an HTML document 
-#' directly, with a button to download the file without pointing to a 
+#' This function takes a dataframe as input and returns a base64 encoded
+#' CSV object. The encoded object can be embedded into an HTML document
+#' directly, with a button to download the file without pointing to a
 #' local file.
 #'
 #' @param df A dataframe to be encoded.
 #' @param report_type (Optional) A string specifying for which report generation
 #'                    this function is called. Generates different Excel sheet
 #'                    names based on the report_type.
-#' 
+#'
 #' @return A character string containing the base64 encoded CSV data.
-#' 
+#'
 #' @importFrom openxlsx createWorkbook addWorksheet writeData saveWorkbook
-#' 
+#'
 encode_df_to_base64 <- function(
     df,
-    report_type = NA
-    ) {
-  
+    report_type = NA) {
   temp_file <- tempfile(fileext = ".xlsx")
   wb <- openxlsx::createWorkbook()
-  
+
   if (is.data.frame(df)) {
     # Convert single dataframe to Excel with one sheet
     sheet_name <- "Sheet1"
     openxlsx::addWorksheet(
       wb,
       sheet_name
-      )
+    )
     openxlsx::writeData(
       wb,
       sheet = sheet_name,
       df
-      )
-  } else if (is.list(df) && all(sapply(df, is.data.frame))) {
+    )
+  } else if (is.list(df) && all(vapply(df, is.data.frame, logical(1)))) {
     # Convert list of dataframes to Excel with multiple sheets
-    
+
     if (!is.na(report_type)) {
       if (report_type == "create_gsea_report") {
         all_names <- names(df)
-        sheet_names <- sapply(all_names, extract_and_combine)
+        sheet_names <- vapply(
+          all_names,
+          extract_and_combine,
+          character(1)
+        )
       }
     } else {
       sheet_names <- make.unique(names(df))
     }
-    
-    
+
+
     for (i in seq_along(sheet_names)) {
       openxlsx::addWorksheet(
         wb,
         sheet_names[i]
-        )
+      )
       openxlsx::writeData(
         wb,
         sheet = sheet_names[i],
         df[[i]]
-        )
+      )
     }
   } else {
     stop("Input must be a dataframe or a list of dataframes.")
   }
-  
+
   openxlsx::saveWorkbook(
     wb,
     temp_file,
     overwrite = TRUE
-    )
-  
+  )
+
   # Read the file and encode to base64
   file_content <- readBin(
-    temp_file, 
+    temp_file,
     "raw",
     file.info(temp_file)$size
-    )
+  )
   base64_file <- base64enc::base64encode(file_content)
-  
+
   # Determine MIME type
-  mime_type <- 
+  mime_type <-
     "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
-  
+
   # Create the data URI scheme
   data_uri <- paste0(
     "data:",
     mime_type,
     ";base64,",
     base64_file
-    )
-  
+  )
+
   # Remove the temporary file
   unlink(temp_file)
-  
+
   return(data_uri)
 }
 
@@ -912,7 +910,7 @@ encode_df_to_base64 <- function(
 #' Convert Plot to Base64
 #'
 #' @description
-#' Converts a ggplot2 plot to a Base64-encoded PNG image and returns an HTML 
+#' Converts a ggplot2 plot to a Base64-encoded PNG image and returns an HTML
 #' img tag for embedding in a report.
 #'
 #' @param plot A ggplot2 plot object.
@@ -921,7 +919,7 @@ encode_df_to_base64 <- function(
 #' @param width A numeric value specifying the width of the plot in inches.
 #' @param base_height_per_row A numeric value specifying the base height per
 #'  row in inches.
-#' @param units A character string specifying the units for the width and 
+#' @param units A character string specifying the units for the width and
 #' height.
 #' @param html_img_width A character string specifying the width of the image
 #'  in HTML.
@@ -931,58 +929,56 @@ encode_df_to_base64 <- function(
 #'
 #' @seealso
 #'   \link[base64enc]{dataURI}
-#' 
+#'
 #' @importFrom ggplot2 ggsave
 #' @importFrom base64enc dataURI
 #' @importFrom svglite svglite
-#' 
+#'
 plot2base64 <- function(
-    plot, 
-    height, 
-    width = 7, 
-    base_height_per_row = 2.5, 
-    units = "in", 
-    html_img_width = "100%"
-    ) {
-  
+    plot,
+    height,
+    width = 7,
+    base_height_per_row = 2.5,
+    units = "in",
+    html_img_width = "100%") {
   additional_height_per_row <- 2.1
   height <- base_height_per_row + (height - 1) * additional_height_per_row
-  
-  # Create a temporary file for the SVG. SVG does not specify the quality 
+
+  # Create a temporary file for the SVG. SVG does not specify the quality
   # already, but later, after exporting the figures from the HTML, you can
   # specify the quality.
   img_file <- tempfile(fileext = ".svg")
 
   svglite::svglite(file = img_file, width = width, height = height)
-  
+
   # Draw the plot
   print(plot)
 
   # Turn off the device
   dev.off()
-  
+
   # Read the SVG file content
   svg_content <- readLines(img_file, warn = FALSE)
-  
+
   # Convert the SVG content to a single string
   svg_string <- paste(svg_content, collapse = "\n")
-  
+
   # Encode the SVG content as base64
   svg_base64 <- base64enc::dataURI(
     charToRaw(svg_string),
     mime = "image/svg+xml"
-    )
-  
+  )
+
   # Delete the temporary SVG file
   unlink(img_file)
-  
+
   # Return the HTML img tag with the base64 string and a fixed width
   return(
     sprintf(
-      '<img src="%s" alt="Plot" style="width:%s;">', 
+      '<img src="%s" alt="Plot" style="width:%s;">',
       svg_base64, html_img_width
-      )
     )
+  )
 }
 
 
@@ -992,17 +988,16 @@ plot2base64 <- function(
 #' Creates the HTML content for the Table of Contents.
 #'
 #' @return A string containing the HTML for the Table of Contents.
-#' 
+#'
 create_toc <- function() {
-  
   toc <- paste(
-  "<hr style='border: none; height: 3px; background-color:
+    "<hr style='border: none; height: 3px; background-color:
   #333; margin: 40px 0;'>",
-  "<div id='toc' style='text-align: center; display: block; margin:
+    "<div id='toc' style='text-align: center; display: block; margin:
   auto; width: 80%;'>",
-  "<h2 style='font-size: 60px;'>Table of Contents</h2>",
-  "<ul style='display: inline-block; text-align: left;'>",
-  sep = ""
+    "<h2 style='font-size: 60px;'>Table of Contents</h2>",
+    "<ul style='display: inline-block; text-align: left;'>",
+    sep = ""
   )
 }
 
@@ -1010,16 +1005,15 @@ create_toc <- function() {
 #' Define HTML Styles
 #'
 #' @description
-#' Defines the CSS styles for section headers and Table of Contents (TOC) 
+#' Defines the CSS styles for section headers and Table of Contents (TOC)
 #' entries used in the GSEA report generation.
 #'
 #' @return A list containing the styles for section headers and TOC entries.
-#' 
+#'
 define_html_styles <- function() {
-  
   section_header_style <- "font-size: 70px; color: #001F3F; text-align: center;"
   toc_style <- "font-size: 40px;"
-  
+
   styles <- list(
     section_header_style = section_header_style,
     toc_style = toc_style
@@ -1037,36 +1031,33 @@ define_html_styles <- function() {
 #' @param plots_size A list of sizes for the plots.
 #' @param html_content The current state of the HTML content.
 #' @param toc The current state of the table of contents (TOC).
-#' @param header_index An index to uniquely identify each section 
+#' @param header_index An index to uniquely identify each section
 #' for anchoring.
 #'
 #' @return Updated HTML content with the plots included.
-#' 
+#'
 process_plots <- function(
     plots_element,
     plots_size,
     html_content,
     toc,
     header_index,
-    element_name = NA
-) {
-  
+    element_name = NA) {
   if (
-    !is.na(element_name) && 
-    startsWith(
-      element_name,
-      "individual_spline_plots"
-    ) 
+    !is.na(element_name) &&
+      startsWith(
+        element_name,
+        "individual_spline_plots"
+      )
   ) {
-    
     spline_plots <- plots_element$spline_plots
     main_title <- plots_element$cluster_main_title
-    
+
     # Create a TOC entry for the main title
     toc_entry <- paste0(
       "<li style='margin-left: 50px; font-size: 25px;'>",
       "<a href='#section", header_index, "'>",
-      main_title, 
+      main_title,
       "</a></li>"
     )
     toc <- paste(
@@ -1074,36 +1065,36 @@ process_plots <- function(
       toc_entry,
       sep = "\n"
     )
-    
+
     # Add the main title as a section title with an anchor before the first plot
     grid_content <- paste0(
       '<h2 id="section',
       header_index,
       '" style="text-align: center; margin-bottom: 20px; font-size: 50px;">',
-      main_title, '</h2>'
+      main_title, "</h2>"
     )
-    
+
     # Convert each individual plot to base64 and store in a list
     base64_list <- lapply(spline_plots, function(plot) {
       title <- plot$labels$title
       # Remove the title from the plot (so that it is not there twice)
-      plot <- plot + ggplot2::labs(title = NULL)  
-      
+      plot <- plot + ggplot2::labs(title = NULL)
+
       base64_plot <- plot2base64(plot, height = plots_size)
-      
+
       list(
         title = title,
         plot = base64_plot
       )
     })
-    
+
     # Arrange the base64 images and titles in a single-column layout
     for (i in seq_along(base64_list)) {
       # Add the title as HTML text
       grid_content <- paste0(
         grid_content,
         '<div style="padding: 5px; text-align: center; font-size: 32px;">',
-        base64_list[[i]]$title, '</div>'
+        base64_list[[i]]$title, "</div>"
       )
       # Start a new row for each plot
       grid_content <- paste0(
@@ -1112,18 +1103,18 @@ process_plots <- function(
       )
       grid_content <- paste0(
         grid_content,
-        '<div style="flex: 1; padding: 5px;">', base64_list[[i]]$plot, '</div>'
+        '<div style="flex: 1; padding: 5px;">', base64_list[[i]]$plot, "</div>"
       )
-      
-      grid_content <- paste0(grid_content, '</div>')
-      
+
+      grid_content <- paste0(grid_content, "</div>")
+
       # Add a horizontal line after each plot
       grid_content <- paste0(
         grid_content,
         '<hr style="border: 0; border-top: 1px solid #ccc; margin: 20px 0;">'
       )
     }
-    
+
     # Add the grid content to the HTML content
     html_content <- paste(
       html_content,
@@ -1132,7 +1123,7 @@ process_plots <- function(
     )
   } else if (
     !is.na(element_name) &&
-    element_name == "cluster_mean_splines"
+      element_name == "cluster_mean_splines"
   ) {
     # One plot for each cluster
     for (i in seq_along(plots_element)) {
@@ -1149,7 +1140,7 @@ process_plots <- function(
       header_index
     )
   }
-  
+
   return(
     list(
       html_content = html_content,
@@ -1163,26 +1154,26 @@ process_plots <- function(
 #' Process and Encode Data Field for Report
 #'
 #' @description
-#' This function processes a given field, encodes the associated data as base64, 
-#' and generates a download link for the report. It handles different types of 
+#' This function processes a given field, encodes the associated data as base64,
+#' and generates a download link for the report. It handles different types of
 #' fields including data, meta, top tables, and Enrichr formatted gene lists.
 #'
 #' @param field A string specifying the field to process.
 #' @param data A dataframe containing the main data.
 #' @param meta A dataframe containing meta information.
-#' @param topTables A dataframe containing the results of differential 
+#' @param topTables A dataframe containing the results of differential
 #'                  expression analysis.
 #' @param report_info A list containing additional report information.
 #' @param encode_df_to_base64 A function to encode a dataframe to base64.
 #' @param report_type A string specifying the type of report.
-#' @param enrichr_format A list with the formatted gene lists and background 
+#' @param enrichr_format A list with the formatted gene lists and background
 #'                       gene list.
 #'
-#' @return A string containing the HTML link for downloading the processed 
+#' @return A string containing the HTML link for downloading the processed
 #'         field.
 #'
 #' @importFrom base64enc base64encode
-#' 
+#'
 process_field <- function(
     field,
     data,
@@ -1191,47 +1182,40 @@ process_field <- function(
     report_info,
     encode_df_to_base64,
     report_type,
-    enrichr_format
-) {
-  
-  if (field == "data_with_annotation")  {
+    enrichr_format) {
+  if (field == "data_with_annotation") {
     base64_df <- sprintf(
       '<a href="%s" download="data.xlsx" class="embedded-file">
-       <button>Download data_with_annotation.xlsx</button></a>', 
+       <button>Download data_with_annotation.xlsx</button></a>',
       encode_df_to_base64(data)
     )
-    
   } else if (field == "meta" &&
-             !is.null(meta) &&
-             is.data.frame(meta) &&
-             !any(is.na(meta))) {
+    !is.null(meta) &&
+    is.data.frame(meta) &&
+    !any(is.na(meta))) {
     base64_df <- sprintf(
       '<a href="%s" download="meta.xlsx" class="embedded-file">
-       <button>Download meta.xlsx</button></a>', 
+       <button>Download meta.xlsx</button></a>',
       encode_df_to_base64(meta)
     )
-    
-  } else if (field == "limma_topTables_clustered_time_effect_hits"
-             && !any(is.na(topTables)))  {
+  } else if (field == "limma_topTables_clustered_time_effect_hits" &&
+    !any(is.na(topTables))) {
     base64_df <- sprintf(
       '<a href="%s" download="limma_topTables_clustered_time_effect_hits.xlsx"
       class="embedded-file">
        <button>Download limma_topTables_clustered_time_effect_hits.xlsx</button>
-      </a>', 
+      </a>',
       encode_df_to_base64(topTables)
     )
-    
-  } else if (field == "limma_topTables" && !any(is.na(topTables)))  {
+  } else if (field == "limma_topTables" && !any(is.na(topTables))) {
     base64_df <- sprintf(
       '<a href="%s" download="limma_topTables.xlsx" class="embedded-file">
-       <button>Download limma_topTables.xlsx</button></a>', 
+       <button>Download limma_topTables.xlsx</button></a>',
       encode_df_to_base64(topTables)
     )
-    
-  } else if (field == "Enrichr_clustered_genes" && 
-             !any(is.na(enrichr_format)) &&
-             !is.null(enrichr_format$gene_lists)) {
-    
+  } else if (field == "Enrichr_clustered_genes" &&
+    !any(is.na(enrichr_format)) &&
+    !is.null(enrichr_format$gene_lists)) {
     # Create ZIP file for Enrichr_clustered_genes
     zip_base64 <- create_enrichr_zip(enrichr_format)
     base64_df <- sprintf(
@@ -1240,31 +1224,27 @@ process_field <- function(
        <button>Download Enrichr_clustered_genes.zip</button></a>',
       zip_base64
     )
-    
-  } else if (field == "Enrichr_background" && 
-             !any(is.na(enrichr_format)) &&
-             !is.null(enrichr_format$background)) {
-    
+  } else if (field == "Enrichr_background" &&
+    !any(is.na(enrichr_format)) &&
+    !is.null(enrichr_format$background)) {
     base64_df <- sprintf(
-      '<a href="data:text/plain;base64,%s" download="Enrichr_background.txt" 
+      '<a href="data:text/plain;base64,%s" download="Enrichr_background.txt"
       class="embedded-file">
        <button>Download Enrichr_background.txt</button></a>',
       base64enc::base64encode(charToRaw(enrichr_format$background))
     )
-    
   } else if (field == "session_info") {
     # Capture session info and encode to base64 on-the-fly
     session_details <- sessionInfo()
     session_info <- paste(capture.output(session_details), collapse = "\n")
     base64_session_info <- base64enc::base64encode(charToRaw(session_info))
-    
+
     base64_df <- sprintf(
-      '<a href="data:text/plain;base64,%s" download="session_info.txt" 
+      '<a href="data:text/plain;base64,%s" download="session_info.txt"
       class="embedded-file">
        <button>Download R Session Info</button></a>',
       base64_session_info
     )
-    
   } else {
     base64_df <- ifelse(
       is.null(report_info[[field]]),
@@ -1280,7 +1260,6 @@ process_field <- function(
 
 
 extract_and_combine <- function(input) {
-  
   # Extract substring after 'cluster:' and before the next ','
   cluster_match <- regmatches(
     input,
@@ -1288,9 +1267,9 @@ extract_and_combine <- function(input) {
       "(?<=cluster: )[^,]+",
       input,
       perl = TRUE
-      )
     )
-  
+  )
+
   # Extract substring after 'database:'
   database_match <- regmatches(
     input,
@@ -1298,17 +1277,17 @@ extract_and_combine <- function(input) {
       "(?<=database: )[^,]+",
       input,
       perl = TRUE
-      )
     )
-  
+  )
+
   # Combine the substrings with a whitespace in between
   combined <- paste(cluster_match, database_match, sep = " ")
-  
+
   # Truncate the combined string to 30 characters if necessary
   if (nchar(combined) > 30) {
     combined <- substr(combined, 1, 30)
   }
-  
+
   return(combined)
 }
 
@@ -1316,57 +1295,54 @@ extract_and_combine <- function(input) {
 #' Create a ZIP File for Enrichr Gene Lists
 #'
 #' @description
-#' This function creates a ZIP file containing directories for each level of 
-#' gene lists. Each directory contains text files for each cluster. The ZIP file 
+#' This function creates a ZIP file containing directories for each level of
+#' gene lists. Each directory contains text files for each cluster. The ZIP file
 #' is then encoded to base64 for easy download.
 #'
-#' @param enrichr_format A list with the formatted gene lists and background 
+#' @param enrichr_format A list with the formatted gene lists and background
 #' gene list, typically the output of `prepare_gene_lists_for_enrichr`.
 #'
 #' @return A base64-encoded string representing the ZIP file.
 #'
 #' @details
-#' The function creates a temporary directory to store the files. For each level 
-#' in the `enrichr_format$gene_lists`, it creates a directory named after the 
-#' level. Within each level directory, it creates a text file for each cluster, 
-#' containing the genes in that cluster. The directories and files are added 
+#' The function creates a temporary directory to store the files. For each level
+#' in the `enrichr_format$gene_lists`, it creates a directory named after the
+#' level. Within each level directory, it creates a text file for each cluster,
+#' containing the genes in that cluster. The directories and files are added
 #' to a ZIP file, which is then encoded to base64.
 #'
 #' @importFrom zip zip
 #' @importFrom base64enc base64encode
-#' 
+#'
 create_enrichr_zip <- function(enrichr_format) {
-  
   temp_dir <- tempfile(pattern = "enrichr")
   dir.create(temp_dir)
   zip_file <- tempfile(fileext = ".zip")
-  
+
   for (level in names(enrichr_format$gene_lists)) {
-    
     level_dir <- file.path(temp_dir, level)
     dir.create(level_dir, recursive = TRUE)
-    
+
     for (cluster in names(enrichr_format$gene_lists[[level]])) {
-      
       cluster_file <- file.path(level_dir, paste0(cluster, ".txt"))
       writeLines(enrichr_format$gene_lists[[level]][[cluster]], cluster_file)
     }
   }
-  
+
   # Create the ZIP file using relative paths
   original_wd <- getwd()
   setwd(temp_dir)
   files_to_zip <- list.files(temp_dir, recursive = TRUE)
   zip::zip(zipfile = zip_file, files = files_to_zip)
   setwd(original_wd)
-  
+
   # Read the ZIP file and encode it to base64
   zip_base64 <- base64enc::base64encode(zip_file)
-  
+
   # Clean up temporary directory and files
   unlink(temp_dir, recursive = TRUE)
   unlink(zip_file)
-  
+
   return(zip_base64)
 }
 
@@ -1374,7 +1350,7 @@ create_enrichr_zip <- function(enrichr_format) {
 #' Add Plot to HTML Content
 #'
 #' @description
-#' This function converts a plot to a base64 image and adds it to the 
+#' This function converts a plot to a base64 image and adds it to the
 #' HTML content.
 #'
 #' @param html_content The current HTML content as a character string.
@@ -1388,17 +1364,16 @@ add_plot_to_html <- function(
     html_content,
     plot_element,
     plots_size,
-    section_index
-) {
+    section_index) {
   img_tag <- plot2base64(
     plot_element,
     height = plots_size
-    )
+  )
   paste(
     html_content,
     '<div id="section', section_index, '">',
     img_tag,
-    '</div>',
+    "</div>",
     '<hr style="border: 0; border-top: 1px solid #ccc; margin: 20px 0;">',
     sep = "\n"
   )
diff --git a/README.Rmd b/README.Rmd
index b21cf39..9f2e4ac 100755
--- a/README.Rmd
+++ b/README.Rmd
@@ -52,7 +52,8 @@ If you have -omics data over time, the package will help you to run `limma` with
 
 ### What do I need precisely?
 
-1.  **Data**: A data matrix where each row is a feature (e.g., protein, metabolite, etc.) and each column is a sample taken at a specific time. The data must have no NA values and should have normally distributed features.
+1.  **Data**: A data matrix where each row is a feature (e.g., protein, metabolite, etc.) and each column is a sample taken at a specific time. The data must have no NA values, should have normally distributed features and no 
+dependence between the samples.
 
 2.  **Meta**: A table with metadata on the columns/samples of the data matrix (e.g., batch, time point, etc.)
 
@@ -103,7 +104,11 @@ custom_lib_path <- path.expand("~/Rlibs")
 
 # Create the directory if it doesn't exist
 if (!dir.exists(custom_lib_path)) {
-    dir.create(custom_lib_path, showWarnings = FALSE, recursive = TRUE)
+    dir.create(
+      custom_lib_path,
+      showWarnings = FALSE,
+      recursive = TRUE
+      )
 }
 
 # Set the library path to include the new directory
@@ -293,6 +298,8 @@ For those interested in gaining a deeper understanding of the methodologies used
 
 -   **limma**: To read about the `limma` R package, you can refer to this [publication](https://doi.org/10.1093/nar/gkv007).
 
+-   **PCA**: To learn more about PCA, download and read this [document](https://github.com/csbg/SplineOmics/raw/main/docs/Points_of_Significance_PCA.pdf).
+
 -   **Hierarchical clustering**: To get information about hierarchical clustering, you can refer to this [web article](https://towardsdatascience.com/understanding-the-concept-of-hierarchical-clustering-technique-c6e8243758ec).
 
 ## ❓ Getting Help
diff --git a/README.md b/README.md
index 6ad96af..33d2ce3 100755
--- a/README.md
+++ b/README.md
@@ -67,8 +67,8 @@ abundances, etc.).
 
 1.  **Data**: A data matrix where each row is a feature (e.g., protein,
     metabolite, etc.) and each column is a sample taken at a specific
-    time. The data must have no NA values and should have normally
-    distributed features.
+    time. The data must have no NA values, should have normally
+    distributed features and no dependence between the samples.
 
 2.  **Meta**: A table with metadata on the columns/samples of the data
     matrix (e.g., batch, time point, etc.)
@@ -141,7 +141,11 @@ custom_lib_path <- path.expand("~/Rlibs")
 
 # Create the directory if it doesn't exist
 if (!dir.exists(custom_lib_path)) {
-    dir.create(custom_lib_path, showWarnings = FALSE, recursive = TRUE)
+    dir.create(
+      custom_lib_path,
+      showWarnings = FALSE,
+      recursive = TRUE
+      )
 }
 
 # Set the library path to include the new directory
@@ -402,6 +406,9 @@ recommended publications:
 - **limma**: To read about the `limma` R package, you can refer to this
   [publication](https://doi.org/10.1093/nar/gkv007).
 
+- **PCA**: To learn more about PCA, download and read this
+  [document](https://github.com/csbg/SplineOmics/raw/main/docs/Points_of_Significance_PCA.pdf).
+
 - **Hierarchical clustering**: To get information about hierarchical
   clustering, you can refer to this [web
   article](https://towardsdatascience.com/understanding-the-concept-of-hierarchical-clustering-technique-c6e8243758ec).
diff --git a/SplineOmics.BiocCheck/00BiocCheck.log b/SplineOmics.BiocCheck/00BiocCheck.log
index 12b0ba5..4c33804 100755
--- a/SplineOmics.BiocCheck/00BiocCheck.log
+++ b/SplineOmics.BiocCheck/00BiocCheck.log
@@ -1,7 +1,6 @@
 * Checking for deprecated package usage... OK
 * Checking for remote package usage... OK
-* Checking for 'LazyData: true' usage...
-* NOTE: 'LazyData:' in the 'DESCRIPTION' should be set to false or removed
+* Checking for 'LazyData: true' usage... OK
 * Checking version number... OK
 * Checking version number validity... OK
 * Checking R version dependency... OK
@@ -9,29 +8,32 @@
 * Checking individual file sizes...
 * WARNING: Package files exceed the 5MB size limit.
 Files over the limit: 
-/home/thomasrauter/Documents/PhD/projects/DGTX/R_packages/SplineOmics/inst/reports/cluster_hits_report.html
+/home/thomas/Documents/PhD/projects/DGTX/R_packages/SplineOmics/inst/reports/cluster_hits_report.html
 * Checking biocViews... OK
-* Checking that biocViews are present...
-* ERROR: No biocViews terms found.
+* Checking that biocViews are present... OK
+* Checking package type based on biocViews... OK
+* Checking for non-trivial biocViews... OK
+* Checking that biocViews come from the same category... OK
+* Checking biocViews validity...
+* WARNING: Invalid BiocViews term(s):
+'Spline'
+* Checking for recommended biocViews... OK
 * Checking build system compatibility... OK
 * Checking for blank lines in DESCRIPTION... OK
 * Checking if DESCRIPTION is well formatted... OK
-* Checking for proper Description: field...
-* NOTE: The Description field in the DESCRIPTION is made up by less than 3 sentences. Please consider expanding this field, and structure it as a full paragraph
+* Checking for proper Description: field... OK
 * Checking for whitespace in DESCRIPTION field names... OK
 * Checking that Package field matches directory/tarball name... OK
 * Checking for Version field... OK
 * Checking for valid maintainer...
-* ERROR: Use only the Authors@R field not Author/Maintainer fields.
-* NOTE: Consider adding the maintainer's ORCID iD in 'Authors@R' with 'comment=c(ORCID="...")'
+* NOTE: Invalid ORCID iD for Thomas Rauter
 * Checking License: for restrictive use... OK
-* Checking for recommeded fields in DESCRIPTION...
-* NOTE: Provide 'BugReports' field(s) in DESCRIPTION
+* Checking for recommeded fields in DESCRIPTION... OK
 * Checking for pinned package versions... OK
-* Checking DESCRIPTION/NAMESPACE consistency...
-* WARNING: Import grDevices, grid, splines, stats, tools, utils in DESCRIPTION as well as NAMESPACE.
+* Checking DESCRIPTION/NAMESPACE consistency... OK
 * Checking .Rbuildignore... OK
-* Checking for stray BiocCheck output folders... OK
+* Checking for stray BiocCheck output folders...
+* ERROR: Remove 'SplineOmics.BiocCheck' from the package directory
 * Checking for inst/doc folders... OK
 * Checking vignette directory...
 * WARNING: Evaluate more vignette chunks.
@@ -44,212 +46,114 @@ vignettes/get-started.Rmd
 * Checking package installation calls in R code...
 * NOTE: Avoid using install, biocLite, install.packages, or update.packages
 Functions in files:
-install.packages() in R/open_tutorial_and_template.R (line  32, column 16)
-install.packages() in R/open_tutorial_and_template.R (line  92, column 16)
-install.packages() in R/preprocess_rna_seq_data.R (line  70, column 18)
-install() in R/preprocess_rna_seq_data.R (line  74, column 26)
-install.packages() in R/run_gsea.R (line 222, column 18)
-install() in R/run_gsea.R (line 227, column 26)
+install.packages() in R/preprocess_rna_seq_data.R (line  68, column 18)
+install() in R/preprocess_rna_seq_data.R (line  72, column 26)
+install.packages() in R/run_gsea.R (line 219, column 18)
+install() in R/run_gsea.R (line 224, column 26)
 * Checking for library/require of SplineOmics... OK
 * Checking coding practice...
-* NOTE:  Avoid sapply(); use vapply()
-Found in files:
-R/cluster_hits.R (line  931, column 20)
-R/cluster_hits.R (line 3055, column  3)
-R/create_limma_report.R (line  157, column 16)
-R/download_enrichr_databases.R (line  157, column 21)
-R/extract_data.R (line   76, column 11)
-R/extract_data.R (line  100, column 14)
-R/run_gsea.R (line   58, column  6)
-R/run_gsea.R (line  620, column 12)
-R/run_gsea.R (line  865, column 17)
-R/run_gsea.R (line 1105, column 19)
-R/run_gsea.R (line 1107, column 17)
-R/run_limma_splines.R (line  536, column 12)
-R/run_limma_splines.R (line  537, column 28)
-R/screen_limma_hyperparams.R (line  762, column 20)
-R/screen_limma_hyperparams.R (line  763, column 20)
-R/screen_limma_hyperparams.R (line  956, column 18)
-R/utils_input_validation.R (line  129, column 15)
-R/utils_input_validation.R (line  187, column 15)
-R/utils_input_validation.R (line  236, column 15)
-R/utils_input_validation.R (line  286, column 15)
-R/utils_input_validation.R (line  321, column 15)
-R/utils_input_validation.R (line  328, column 39)
-R/utils_input_validation.R (line  343, column 31)
-R/utils_input_validation.R (line  381, column 35)
-R/utils_input_validation.R (line  430, column 15)
-R/utils_input_validation.R (line  510, column 15)
-R/utils_input_validation.R (line  539, column 15)
-R/utils_input_validation.R (line  615, column 15)
-R/utils_input_validation.R (line  652, column 15)
-R/utils_input_validation.R (line  741, column 15)
-R/utils_input_validation.R (line  802, column 15)
-R/utils_input_validation.R (line  807, column 16)
-R/utils_input_validation.R (line  840, column 15)
-R/utils_input_validation.R (line  911, column 15)
-R/utils_input_validation.R (line 1018, column 15)
-R/utils_input_validation.R (line 1069, column 15)
-R/utils_input_validation.R (line 1111, column 15)
-R/utils_input_validation.R (line 1144, column 15)
-R/utils_input_validation.R (line 1171, column 28)
-R/utils_input_validation.R (line 1214, column 24)
-R/utils_input_validation.R (line 1276, column 15)
-R/utils_input_validation.R (line 1284, column 11)
-R/utils_input_validation.R (line 1329, column 15)
-R/utils_input_validation.R (line 1736, column 16)
-R/utils_input_validation.R (line 1784, column 18)
-R/utils_input_validation.R (line 2044, column 23)
-R/utils_input_validation.R (line 2416, column  6)
-R/utils_input_validation.R (line 2457, column 32)
-R/utils_report_generation.R (line  815, column 33)
-R/utils_report_generation.R (line  821, column 24)
 * NOTE:  Avoid 1:...; use seq_len() or seq_along()
 Found in files:
-cluster_hits.R (line 1185, column 31)
-cluster_hits.R (line 1531, column 44)
-cluster_hits.R (line 1558, column 38)
-cluster_hits.R (line 1771, column 15)
-cluster_hits.R (line 1776, column 48)
-cluster_hits.R (line 2089, column 15)
-cluster_hits.R (line 2097, column 54)
-cluster_hits.R (line 2098, column 54)
-cluster_hits.R (line 2842, column 26)
-cluster_hits.R (line 2850, column 12)
-cluster_hits.R (line 2935, column 21)
-explore_data.R (line 607, column 43)
-explore_data.R (line 685, column 17)
-explore_data.R (line 785, column 17)
-extract_data.R (line 101, column 27)
-extract_data.R (line 166, column 17)
-extract_data.R (line 167, column 19)
-run_gsea.R (line 949, column 13)
-run_gsea.R (line 951, column 15)
-screen_limma_hyperparams.R (line 478, column 13)
-screen_limma_hyperparams.R (line 480, column 15)
-screen_limma_hyperparams.R (line 963, column 13)
-screen_limma_hyperparams.R (line 1231, column 13)
-screen_limma_hyperparams.R (line 1417, column 49)
+cluster_hits.R (line 1177, column 31)
+cluster_hits.R (line 1525, column 45)
+cluster_hits.R (line 1553, column 38)
+cluster_hits.R (line 1731, column 15)
+cluster_hits.R (line 1736, column 48)
+cluster_hits.R (line 2021, column 15)
+cluster_hits.R (line 2029, column 54)
+cluster_hits.R (line 2030, column 54)
+cluster_hits.R (line 2797, column 26)
+cluster_hits.R (line 2805, column 13)
+cluster_hits.R (line 2887, column 21)
+explore_data.R (line 601, column 43)
+explore_data.R (line 681, column 17)
+explore_data.R (line 787, column 17)
+extract_data.R (line 99, column 27)
+extract_data.R (line 162, column 17)
+extract_data.R (line 163, column 19)
+run_gsea.R (line 947, column 13)
+run_gsea.R (line 949, column 15)
+screen_limma_hyperparams.R (line 472, column 13)
+screen_limma_hyperparams.R (line 474, column 15)
+screen_limma_hyperparams.R (line 954, column 13)
+screen_limma_hyperparams.R (line 1214, column 13)
+screen_limma_hyperparams.R (line 1393, column 28)
 * NOTE:  Avoid 'cat' and 'print' outside of 'show' methods
 Found in files:
-cat() in R/cluster_hits.R (line 364, column 11)
-print() in R/cluster_hits.R (line 358, column 11)
-print() in R/cluster_hits.R (line 716, column  3)
-cat() in R/open_tutorial_and_template.R (line  24, column  7)
-cat() in R/open_tutorial_and_template.R (line  25, column  7)
-cat() in R/open_tutorial_and_template.R (line  26, column  7)
-cat() in R/open_tutorial_and_template.R (line  27, column  7)
-cat() in R/open_tutorial_and_template.R (line  44, column  9)
-cat() in R/open_tutorial_and_template.R (line  84, column  7)
-cat() in R/open_tutorial_and_template.R (line  85, column  7)
-cat() in R/open_tutorial_and_template.R (line  86, column  7)
-cat() in R/open_tutorial_and_template.R (line  87, column  7)
-cat() in R/open_tutorial_and_template.R (line 104, column  9)
-print() in R/run_gsea.R (line 860, column  7)
-cat() in R/screen_limma_hyperparams.R (line 496, column  3)
-print() in R/screen_limma_hyperparams.R (line 286, column  3)
-print() in R/screen_limma_hyperparams.R (line 368, column  3)
-cat() in R/utils_general.R (line 189, column  3)
-print() in R/utils_report_generation.R (line 924, column  3)
-* NOTE:  Avoid using '=' for assignment and use '<-' instead
-Found in files:
-R/cluster_hits.R (line 1331, column 18)
-R/cluster_hits.R (line 1553, column 19)
-R/cluster_hits.R (line 3123, column 19)
-R/explore_data.R (line   82, column 13)
-R/run_gsea.R (line  798, column 25)
-R/run_gsea.R (line  830, column 27)
-R/run_gsea.R (line  845, column 22)
-R/run_gsea.R (line  847, column 22)
+print() in R/cluster_hits.R (line 354, column 11)
+print() in R/cluster_hits.R (line 710, column  3)
+print() in R/run_gsea.R (line 856, column  7)
+print() in R/utils_report_generation.R (line 955, column  3)
 * NOTE:  Avoid the use of 'paste' in condition signals
 Found in files:
-R/cluster_hits.R (line 309, column 15)
-R/cluster_hits.R (line 917, column 11)
-R/cluster_hits.R (line 924, column 11)
-R/cluster_hits.R (line 1977, column 17)
-R/extract_data.R (line 78, column 7)
-R/extract_data.R (line 201, column 14)
-R/extract_data.R (line 378, column 12)
-R/extract_data.R (line 389, column 13)
-R/run_gsea.R (line 172, column 12)
-R/run_gsea.R (line 285, column 11)
-R/run_gsea.R (line 510, column 10)
-R/run_gsea.R (line 519, column 12)
-R/run_gsea.R (line 526, column 12)
-R/run_gsea.R (line 568, column 12)
-R/run_gsea.R (line 584, column 18)
-R/run_gsea.R (line 804, column 15)
-R/run_limma_splines.R (line 152, column 13)
-R/screen_limma_hyperparams.R (line 709, column 10)
-R/splineomics_object.R (line 133, column 12)
-R/utils_input_validation.R (line 148, column 16)
+R/cluster_hits.R (line 306, column 15)
+R/cluster_hits.R (line 914, column 11)
+R/cluster_hits.R (line 921, column 11)
+R/cluster_hits.R (line 1897, column 17)
+R/extract_data.R (line 199, column 14)
+R/extract_data.R (line 388, column 9)
+R/extract_data.R (line 400, column 13)
+R/run_gsea.R (line 168, column 12)
+R/run_gsea.R (line 280, column 11)
+R/run_gsea.R (line 498, column 10)
+R/run_gsea.R (line 506, column 12)
+R/run_gsea.R (line 516, column 9)
+R/run_gsea.R (line 560, column 9)
+R/run_gsea.R (line 581, column 9)
+R/run_gsea.R (line 800, column 15)
+R/run_limma_splines.R (line 150, column 13)
+R/screen_limma_hyperparams.R (line 697, column 10)
+R/splineomics_object.R (line 129, column 12)
+R/utils_input_validation.R (line 145, column 13)
 R/utils_input_validation.R (line 153, column 16)
-R/utils_input_validation.R (line 241, column 14)
-R/utils_input_validation.R (line 335, column 18)
-R/utils_input_validation.R (line 347, column 18)
-R/utils_input_validation.R (line 385, column 18)
-R/utils_input_validation.R (line 397, column 16)
-R/utils_input_validation.R (line 451, column 11)
-R/utils_input_validation.R (line 944, column 15)
-R/utils_input_validation.R (line 964, column 15)
-R/utils_input_validation.R (line 977, column 13)
-R/utils_input_validation.R (line 1074, column 14)
-R/utils_input_validation.R (line 1078, column 14)
-R/utils_input_validation.R (line 1197, column 14)
-R/utils_input_validation.R (line 1290, column 11)
-R/utils_input_validation.R (line 1300, column 11)
-R/utils_input_validation.R (line 1404, column 12)
-R/utils_input_validation.R (line 1424, column 39)
-R/utils_input_validation.R (line 1483, column 10)
-R/utils_input_validation.R (line 1509, column 12)
-R/utils_input_validation.R (line 1532, column 13)
-R/utils_input_validation.R (line 1540, column 17)
-R/utils_input_validation.R (line 1561, column 15)
-R/utils_input_validation.R (line 1566, column 15)
-R/utils_input_validation.R (line 1619, column 15)
-R/utils_input_validation.R (line 1644, column 10)
-R/utils_input_validation.R (line 1655, column 12)
-R/utils_input_validation.R (line 1673, column 14)
-R/utils_input_validation.R (line 1682, column 14)
-R/utils_input_validation.R (line 1703, column 14)
-R/utils_input_validation.R (line 1741, column 15)
-R/utils_input_validation.R (line 1785, column 17)
-R/utils_input_validation.R (line 2217, column 26)
-R/utils_input_validation.R (line 2223, column 26)
-R/utils_input_validation.R (line 2277, column 15)
-R/utils_report_generation.R (line 106, column 10)
-* NOTE:  Avoid redundant 'stop' and 'warn*' in signal conditions
-Found in files:
-R/utils_input_validation.R (line 1027, column 24)
-R/utils_input_validation.R (line 1031, column 24)
+R/utils_input_validation.R (line 240, column 14)
+R/utils_input_validation.R (line 385, column 15)
+R/utils_input_validation.R (line 400, column 13)
+R/utils_input_validation.R (line 465, column 11)
+R/utils_input_validation.R (line 1100, column 13)
+R/utils_input_validation.R (line 1263, column 14)
+R/utils_input_validation.R (line 1267, column 14)
+R/utils_input_validation.R (line 1600, column 13)
+R/utils_input_validation.R (line 1626, column 13)
+R/utils_input_validation.R (line 1690, column 13)
+R/utils_input_validation.R (line 1720, column 13)
+R/utils_input_validation.R (line 1747, column 14)
+R/utils_input_validation.R (line 1756, column 18)
+R/utils_input_validation.R (line 1777, column 18)
+R/utils_input_validation.R (line 1784, column 15)
+R/utils_input_validation.R (line 1846, column 13)
+R/utils_input_validation.R (line 1873, column 11)
+R/utils_input_validation.R (line 1885, column 13)
+R/utils_input_validation.R (line 1904, column 15)
+R/utils_input_validation.R (line 1914, column 15)
+R/utils_input_validation.R (line 1936, column 15)
+R/utils_input_validation.R (line 1973, column 16)
+R/utils_input_validation.R (line 2453, column 13)
+R/utils_input_validation.R (line 2463, column 13)
+R/utils_input_validation.R (line 2518, column 13)
+R/utils_report_generation.R (line 107, column 7)
 * WARNING:  Avoid class membership checks with class() / is() and == / !=; Use is(x, 'class') for S4 classes
 Found in files:
-create_limma_report.R (line 453, column 37)
-run_gsea.R (line 408, column 35)
+create_limma_report.R (line 439, column 37)
+run_gsea.R (line 398, column 35)
 * Checking parsed R code in R directory, examples, vignettes...
-* WARNING: Remove browser() statements (found 1 times)
-browser() in R/utils_report_generation.R (line 840, column 5)
-* ERROR: Remove install() calls (found 6 times)
-install.packages() in R/open_tutorial_and_template.R (line  32, column 16)
-install.packages() in R/open_tutorial_and_template.R (line  92, column 16)
-install.packages() in R/preprocess_rna_seq_data.R (line  70, column 18)
-install() in R/preprocess_rna_seq_data.R (line  74, column 26)
-install.packages() in R/run_gsea.R (line 222, column 18)
-install() in R/run_gsea.R (line 227, column 26)
-* NOTE: Avoid '<<-' if possible (found 1 times)
-<<- in R/screen_limma_hyperparams.R (line 1237, column 25)
+* ERROR: Remove install() calls (found 4 times)
+install.packages() in R/preprocess_rna_seq_data.R (line  68, column 18)
+install() in R/preprocess_rna_seq_data.R (line  72, column 26)
+install.packages() in R/run_gsea.R (line 219, column 18)
+install() in R/run_gsea.R (line 224, column 26)
 * NOTE: Avoid 'suppressWarnings'/'*Messages' if possible (found 3 times)
-suppressWarnings() in R/extract_data.R (line  72, column 40)
-suppressWarnings() in R/extract_data.R (line 169, column 24)
-suppressMessages() in R/screen_limma_hyperparams.R (line 588, column 13)
+suppressWarnings() in R/extract_data.R (line  71, column  7)
+suppressWarnings() in R/extract_data.R (line 165, column 24)
+suppressMessages() in R/screen_limma_hyperparams.R (line 580, column 13)
 * Checking function lengths...
-* NOTE: The recommended function length is 50 lines or less. There are 68 functions greater than 50 lines.
+* NOTE: The recommended function length is 50 lines or less. There are 72 functions greater than 50 lines.
 The longest 5 functions are:
-build_cluster_hits_report() (R/cluster_hits.R): 394 lines
-generate_report_html() (R/utils_report_generation.R): 269 lines
-plot_splines() (R/cluster_hits.R): 263 lines
-make_clustering_report() (R/cluster_hits.R): 256 lines
-cluster_hits() (R/cluster_hits.R): 177 lines
+build_cluster_hits_report() (R/cluster_hits.R): 390 lines
+generate_report_html() (R/utils_report_generation.R): 294 lines
+make_clustering_report() (R/cluster_hits.R): 257 lines
+plot_splines() (R/cluster_hits.R): 232 lines
+plot_spline_comparisons() (R/cluster_hits.R): 212 lines
 * Checking man page documentation...
 * WARNING: Empty or missing \value sections found in man pages.
 Found in files:
@@ -280,56 +184,39 @@ run_gsea.Rd
 run_limma_splines.Rd
 screen_limma_hyperparams.Rd
 update_splineomics.Rd
-* Checking package NEWS...
-* NOTE: Consider adding a NEWS file, so your package news will be included in Bioconductor release announcements.
+* Checking package NEWS... OK
 * Checking unit tests... OK
 * Checking skip_on_bioc() in tests... OK
 * Checking formatting of DESCRIPTION, NAMESPACE, man pages, R source, and vignette source...
-* NOTE: Consider shorter lines; 216 lines (1%) are > 80 characters long.
+* NOTE: Consider shorter lines; 203 lines (1%) are > 80 characters long.
 First few lines:
-R/cluster_hits.R#L977 #' `".+_vs_.+"`. If a match is found, th ...
-R/cluster_hits.R#L1032 #' The function iterates over each data  ...
-R/cluster_hits.R#L1035 #' threshold. The function then extracts ...
-R/cluster_hits.R#L1166 #' If `meta_batch_column` is specified,  ...
-R/create_limma_report.R#L1 # The function create_limma_report() tak ...
-R/explore_data.R#L8 #' of exploratory plots including densit ...
-R/explore_data.R#L130 #' @param condition A string specifying  ...
-R/explore_data.R#L499 #' plot shows the distribution of the va ...
-R/extract_data.R#L378       stop(paste("Length of combined fea ...
-R/run_gsea.R#L101     result[seq(1, length(result), by = 2 ...
-R/run_gsea.R#L102     result[seq(2, length(result), by = 2 ...
-R/screen_limma_hyperparams.R#L1322 #' Stores the feature indices for signif ...
-R/screen_limma_hyperparams.R#L1365 #' @param type A character string specif ...
+R/cluster_hits.R#L3288     # If we have valid treatment_timepoi ...
 R/SplineOmics-package.R#L14 #' - create_splineomics: Creates the Spl ...
 R/SplineOmics-package.R#L19 #' - screen_limma_hyperparams: Allows th ...
 R/SplineOmics-package.R#L23 #'                             limma spl ...
 R/SplineOmics-package.R#L50 #' -   **dendextend**: For extending `de ...
 R/SplineOmics-package.R#L52 #' -   **ggplot2**: For creating elegant ...
 R/SplineOmics-package.R#L61 #' -   **rlang**: For tools to work with ...
-R/SplineOmics-package.R#L83 #' - [VSchaepertoens](https://github.com ...
-R/utils_general.R#L1 #' utils scripts contains shared functio ...
-R/utils_general.R#L45 #' This function generates a design matr ...
-R/utils_general.R#L46 #' It accommodates both B-splines and na ...
-R/utils_general.R#L58 #' @return A design matrix constructed u ...
-R/utils_general.R#L106 #' @param top_table A dataframe containi ...
-R/utils_general.R#L109 #' @return A dataframe with updated `top ...
-R/utils_general.R#L167 #' This function prints a nicely formatt ...
-R/utils_general.R#L169 #' @param message_prefix A custom messag ...
-R/utils_input_validation.R#L217     #' @param meta_batch_column An optio ...
-R/utils_input_validation.R#L1054     #' that neither `data` nor `genes` i ...
-R/utils_input_validation.R#L1057     #' @return Returns `TRUE` if all che ...
-R/utils_input_validation.R#L1751        #   # Check if 'knots' is atomic  ...
-R/utils_input_validation.R#L1752        #   if (!(is.atomic(spline_params ...
-R/utils_input_validation.R#L1766        #   # Check if 'bknots' is atomic ...
-R/utils_input_validation.R#L1932                 #   stop("bknots must be ...
-R/utils_input_validation.R#L1951                 #   stop("bknots must be ...
-R/utils_report_generation.R#L1 #' utils scripts contains shared functio ...
-R/utils_report_generation.R#L647     "  margin-top: 0; margin-bottom: 0;" ...
-R/utils_report_generation.R#L1131 #' This function processes a given field ...
-R/utils_report_generation.R#L1193       '<a href="data:application/zip;bas ...
-R/utils_report_generation.R#L1203       '<a href="data:text/plain;base64,% ...
-R/utils_report_generation.R#L1260 #' gene lists. Each directory contains t ...
-R/utils_report_generation.R#L1269 #' The function creates a temporary dire ...
+R/utils_general.R#L44 #' It accommodates both B-splines and na ...
+R/utils_general.R#L102 #' @param top_table A dataframe containi ...
+R/utils_general.R#L105 #' @return A dataframe with updated `top ...
+R/utils_input_validation.R#L510       # Check if batch column is provide ...
+R/utils_input_validation.R#L1136       if (!any(c("meta_replicate_column" ...
+R/utils_input_validation.R#L1137         stop_call_false("At least one of ...
+R/utils_input_validation.R#L1559     #' has no missing values, and all el ...
+R/utils_input_validation.R#L1777             stop(paste("meta_batch2_colu ...
+R/utils_input_validation.R#L1983         #   # Check if 'knots' is atomic ...
+R/utils_input_validation.R#L1984         #   if (!(is.atomic(spline_param ...
+R/utils_input_validation.R#L1998         #   # Check if 'bknots' is atomi ...
+R/utils_input_validation.R#L2025         #             "elements as there ...
+R/utils_input_validation.R#L2034         #             "elements as there ...
+R/utils_input_validation.R#L2046     #' Validates that the spline test co ...
+R/utils_input_validation.R#L2281         stop_call_false("Dataframe colum ...
+R/utils_input_validation.R#L2436       if (!is.null(meta_batch_column) && ...
+R/utils_input_validation.R#L2526         # Check if the condition value h ...
+R/utils_input_validation.R#L2528           if (current_conditions[1] %in% ...
+R/utils_input_validation.R#L2576     #' @return Returns a formatted error ...
+R/utils_report_generation.R#L668     "  margin-top: 0; margin-bottom: 0;" ...
 man/cluster_hits.Rd#L5 \title{cluster_hits.R contains the expor ...
 man/cluster_hits.Rd#L19   plot_info = list(y_axis_label = "Value ...
 man/cluster_hits.Rd#L21   plot_options = list(cluster_heatmap_co ...
@@ -352,12 +239,12 @@ man/InputControl.Rd#L116 \item \href{#method-InputControl-check_a ...
 man/InputControl.Rd#L117 \item \href{#method-InputControl-check_a ...
 man/InputControl.Rd#L118 \item \href{#method-InputControl-check_c ...
 man/InputControl.Rd#L119 \item \href{#method-InputControl-check_p ...
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-man/InputControl.Rd#L125 \item \href{#method-InputControl-check_r ...
-man/InputControl.Rd#L132 <li><span class="pkg-link" data-pkg="Spl ...
+man/InputControl.Rd#L120 \item \href{#method-InputControl-check_p ...
+man/InputControl.Rd#L121 \item \href{#method-InputControl-check_r ...
+man/InputControl.Rd#L123 \item \href{#method-InputControl-check_p ...
+man/InputControl.Rd#L124 \item \href{#method-InputControl-check_r ...
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+man/InputControl.Rd#L126 \item \href{#method-InputControl-check_r ...
 man/InputControl.Rd#L133 <li><span class="pkg-link" data-pkg="Spl ...
 man/InputControl.Rd#L134 <li><span class="pkg-link" data-pkg="Spl ...
 man/InputControl.Rd#L135 <li><span class="pkg-link" data-pkg="Spl ...
@@ -371,35 +258,37 @@ man/InputControl.Rd#L142 <li><span class="pkg-link" data-pkg="Spl ...
 man/InputControl.Rd#L143 <li><span class="pkg-link" data-pkg="Spl ...
 man/InputControl.Rd#L144 <li><span class="pkg-link" data-pkg="Spl ...
 man/InputControl.Rd#L145 <li><span class="pkg-link" data-pkg="Spl ...
-man/InputControl.Rd#L154 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L201 \if{html}{\out{<div class="r">}}\preform ...
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-man/InputControl.Rd#L281 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L294 \item{\code{meta_batch_column}}{An optio ...
-man/InputControl.Rd#L318 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L339 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L364 \if{html}{\out{<div class="r">}}\preform ...
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-man/InputControl.Rd#L424 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L435 \item{\code{meta_indices}}{A vector of o ...
-man/InputControl.Rd#L452 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L481 \if{html}{\out{<div class="r">}}\preform ...
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-man/InputControl.Rd#L559 \if{html}{\out{<a id="method-InputContro ...
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-man/InputControl.Rd#L566 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L587 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L604 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L628 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L658 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L683 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L713 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L738 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L760 \if{html}{\out{<div class="r">}}\preform ...
-man/InputControl.Rd#L770 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L146 <li><span class="pkg-link" data-pkg="Spl ...
+man/InputControl.Rd#L155 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L202 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L226 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L265 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L282 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L295 \item{\code{meta_batch_column}}{An optio ...
+man/InputControl.Rd#L319 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L340 \if{html}{\out{<div class="r">}}\preform ...
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+man/InputControl.Rd#L392 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L409 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L425 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L436 \item{\code{meta_indices}}{A vector of o ...
+man/InputControl.Rd#L453 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L482 \if{html}{\out{<div class="r">}}\preform ...
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+man/InputControl.Rd#L588 \if{html}{\out{<div class="r">}}\preform ...
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+man/InputControl.Rd#L701 \if{html}{\out{<div class="r">}}\preform ...
+man/InputControl.Rd#L731 \if{html}{\out{<div class="r">}}\preform ...
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+man/InputControl.Rd#L778 \if{html}{\out{<div class="r">}}\preform ...
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 man/Level2Functions.Rd#L51 \code{\link[SplineOmics:Level4Functions] ...
 man/Level2Functions.Rd#L56 \item \href{#method-Level2Functions-chec ...
 man/Level2Functions.Rd#L57 \item \href{#method-Level2Functions-chec ...
@@ -476,102 +365,98 @@ vignettes/Docker_permission_denied.Rmd#L66 Following these steps will help you r
 vignettes/Docker-instructions.Rmd#L66 To pull the Docker container, use the fo ...
 vignettes/Docker-instructions.Rmd#L72 If you face 'permission denied' issues,  ...
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-vignettes/Docker-instructions.Rmd#L104 Once the container is running, open a we ...
-vignettes/Docker-instructions.Rmd#L110 As long as the container is running, you ...
-vignettes/Docker-instructions.Rmd#L126 The `input` and `output` directories on  ...
-vignettes/Docker-instructions.Rmd#L128 -   Place your input files (e.g., data,  ...
-vignettes/Docker-instructions.Rmd#L130 -   Any files generated by RStudio withi ...
-vignettes/Docker-instructions.Rmd#L132 | **Local Directory** | **Docker Contain ...
-vignettes/Docker-instructions.Rmd#L134 |                     | `/home/rstudio/` ...
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-vignettes/Docker-instructions.Rmd#L136 | `output/`           | `/home/rstudio/o ...
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-vignettes/Docker-instructions.Rmd#L146 Because the `/home/rstudio/output` dir i ...
-vignettes/Docker-instructions.Rmd#L156 However, note that any packages installe ...
-vignettes/Docker-instructions.Rmd#L160 If you want to permanently add R package ...
-vignettes/Docker-instructions.Rmd#L191 When you have your final analysis script ...
-vignettes/Docker-instructions.Rmd#L195 Ensure all analysis scripts and necessar ...
-vignettes/Docker-instructions.Rmd#L220 Once your scripts are ready, commit the  ...
-vignettes/Docker-instructions.Rmd#L231 Push the new image to `Docker Hub` so ot ...
-vignettes/Docker-instructions.Rmd#L245 To reproduce the results, you need to cr ...
-vignettes/Docker-instructions.Rmd#L247 Use the following command to run the con ...
-vignettes/Docker-instructions.Rmd#L257 Start a new container and mount an empty ...
-vignettes/get-started.Rmd#L335 [here](https://csbg.github.io/SplineOmic ...
-vignettes/get-started.Rmd#L550 [here](https://csbg.github.io/SplineOmic ...
-vignettes/get-started.Rmd#L559 [here](https://csbg.github.io/SplineOmic ...
-vignettes/get-started.Rmd#L608 document](https://csbg.github.io/SplineO ...
-vignettes/get-started.Rmd#L644 [here](https://csbg.github.io/SplineOmic ...
-vignettes/get-started.Rmd#L698 [here](https://csbg.github.io/SplineOmic ...
-vignettes/get-started.Rmd#L786 [here](https://csbg.github.io/SplineOmic ...
-* NOTE: Consider multiples of 4 spaces for line indents; 5906 lines (28%) are not.
+vignettes/Docker-instructions.Rmd#L102 Once the container is running, open a we ...
+vignettes/Docker-instructions.Rmd#L108 As long as the container is running, you ...
+vignettes/Docker-instructions.Rmd#L124 The `input` and `output` directories on  ...
+vignettes/Docker-instructions.Rmd#L126 -   Place your input files (e.g., data,  ...
+vignettes/Docker-instructions.Rmd#L128 -   Any files generated by RStudio withi ...
+vignettes/Docker-instructions.Rmd#L130 | **Local Directory** | **Docker Contain ...
+vignettes/Docker-instructions.Rmd#L132 |                     | `/home/rstudio/` ...
+vignettes/Docker-instructions.Rmd#L133 | `input/`            | `/home/rstudio/i ...
+vignettes/Docker-instructions.Rmd#L134 | `output/`           | `/home/rstudio/o ...
+vignettes/Docker-instructions.Rmd#L138 To see all the R packages and system ins ...
+vignettes/Docker-instructions.Rmd#L144 Because the `/home/rstudio/output` dir i ...
+vignettes/Docker-instructions.Rmd#L154 However, note that any packages installe ...
+vignettes/Docker-instructions.Rmd#L158 If you want to permanently add R package ...
+vignettes/Docker-instructions.Rmd#L189 When you have your final analysis script ...
+vignettes/Docker-instructions.Rmd#L193 Ensure all analysis scripts and necessar ...
+vignettes/Docker-instructions.Rmd#L218 Once your scripts are ready, commit the  ...
+vignettes/Docker-instructions.Rmd#L229 Push the new image to `Docker Hub` so ot ...
+vignettes/Docker-instructions.Rmd#L243 To reproduce the results, you need to cr ...
+vignettes/Docker-instructions.Rmd#L245 Use the following command to run the con ...
+vignettes/Docker-instructions.Rmd#L255 Start a new container and mount an empty ...
+vignettes/get-started.Rmd#L351 [here](https://csbg.github.io/SplineOmic ...
+vignettes/get-started.Rmd#L570 [here](https://csbg.github.io/SplineOmic ...
+vignettes/get-started.Rmd#L579 [here](https://csbg.github.io/SplineOmic ...
+vignettes/get-started.Rmd#L629 document](https://csbg.github.io/SplineO ...
+vignettes/get-started.Rmd#L665 [here](https://csbg.github.io/SplineOmic ...
+vignettes/get-started.Rmd#L713 #   additional_condition = NA  # No trea ...
+vignettes/get-started.Rmd#L760 [here](https://csbg.github.io/SplineOmic ...
+vignettes/get-started.Rmd#L849 [here](https://csbg.github.io/SplineOmic ...
+* NOTE: Consider multiples of 4 spaces for line indents; 5078 lines (23%) are not.
 First few lines:
 R/cluster_hits.R#L89       y_axis_label = "Value", ...
 R/cluster_hits.R#L90       time_unit = "min", ...
 R/cluster_hits.R#L91       treatment_labels = NA, ...
 R/cluster_hits.R#L92       treatment_timepoints = NA ...
-R/cluster_hits.R#L93       ), ...
 R/cluster_hits.R#L95       cluster_heatmap_columns = FALSE, ...
 R/cluster_hits.R#L96       meta_replicate_column = NULL ...
-R/cluster_hits.R#L102   report_dir <- normalizePath( ...
-R/cluster_hits.R#L106    ...
-R/cluster_hits.R#L107   check_splineomics_elements( ...
-R/cluster_hits.R#L110   ) ...
-R/cluster_hits.R#L112   args <- lapply(as.list(match.call()[-1 ...
-R/cluster_hits.R#L113   check_null_elements(args) ...
-R/cluster_hits.R#L114   input_control <- InputControl$new(args ...
-R/cluster_hits.R#L115   input_control$auto_validate() ...
-R/cluster_hits.R#L116    ...
-R/cluster_hits.R#L117   top_tables <- splineomics[['limma_spli ...
-R/cluster_hits.R#L118   data <- splineomics[["data"]] ...
-R/cluster_hits.R#L119   meta <- splineomics[["meta"]] ...
-R/cluster_hits.R#L120   annotation <- splineomics[["annotation ...
-R/cluster_hits.R#L121   report_info <- splineomics[["report_in ...
-R/cluster_hits.R#L122   design <- splineomics[["design"]] ...
-R/cluster_hits.R#L123   mode <- splineomics[["mode"]] ...
-R/cluster_hits.R#L124   condition <- splineomics[["condition"] ...
-R/cluster_hits.R#L125   spline_params <- splineomics[["spline_ ...
-R/cluster_hits.R#L126   meta_batch_column <- splineomics[["met ...
-R/cluster_hits.R#L127   meta_batch2_column <- splineomics[["me ...
-R/cluster_hits.R#L128   feature_name_columns <- splineomics[[" ...
-R/cluster_hits.R#L130   # To set the default p-value threshold ...
-R/cluster_hits.R#L131   if (is.numeric(adj_pthresholds) && ...
-R/cluster_hits.R#L132       length(adj_pthresholds) == 1 && ad ...
-R/cluster_hits.R#L135   } ...
-R/cluster_hits.R#L136    ...
-R/cluster_hits.R#L137   within_level_top_tables <- filter_top_ ...
-R/cluster_hits.R#L144   huge_table_user_prompter(within_level_ ...
-R/cluster_hits.R#L145    ...
-R/cluster_hits.R#L146   all_levels_clustering <- perform_clust ...
-R/cluster_hits.R#L155   report_info$limma_design <- c(design) ...
-R/cluster_hits.R#L156   report_info$meta_condition <- c(condit ...
-R/cluster_hits.R#L157   report_info$meta_batch <- paste( ...
-R/cluster_hits.R#L162    ...
-R/cluster_hits.R#L163    ...
-R/cluster_hits.R#L164   if (adj_pthresh_avrg_diff_conditions > ...
-R/cluster_hits.R#L165       adj_pthresh_interaction_condition_ ...
-R/cluster_hits.R#L168       splineomics = splineomics, ...
-R/cluster_hits.R#L169       all_levels_clustering = all_levels ...
-R/cluster_hits.R#L170       data = data, ...
-R/cluster_hits.R#L171       meta = meta, ...
-R/cluster_hits.R#L172       condition = condition, ...
-R/cluster_hits.R#L173       plot_info = plot_info, ...
-R/cluster_hits.R#L174       adj_pthresh_avrg_diff_conditions = ...
-R/cluster_hits.R#L175       adj_pthresh_interaction = adj_pthr ...
-R/cluster_hits.R#L177   } else { ...
-R/cluster_hits.R#L179   } ...
-R/cluster_hits.R#L180    ...
-R/cluster_hits.R#L182   if (!is.null(genes)) { ...
-R/cluster_hits.R#L184   } ...
-R/cluster_hits.R#L185    ...
-R/cluster_hits.R#L186   if (report) { ...
-R/cluster_hits.R#L188       all_levels_clustering = all_levels ...
-R/cluster_hits.R#L189       condition = condition, ...
-R/cluster_hits.R#L190       data = data, ...
-R/cluster_hits.R#L191       meta = meta, ...
-R/cluster_hits.R#L192       annotation = annotation, ...
-R/cluster_hits.R#L193       genes = genes, ...
-R/cluster_hits.R#L194       spline_params = spline_params, ...
-R/cluster_hits.R#L195       adj_pthresholds = adj_pthresholds, ...
+R/cluster_hits.R#L100   report_dir <- normalizePath( ...
+R/cluster_hits.R#L103   ) ...
+R/cluster_hits.R#L105   check_splineomics_elements( ...
+R/cluster_hits.R#L108   ) ...
+R/cluster_hits.R#L110   args <- lapply(as.list(match.call()[-1 ...
+R/cluster_hits.R#L111   check_null_elements(args) ...
+R/cluster_hits.R#L112   input_control <- InputControl$new(args ...
+R/cluster_hits.R#L113   input_control$auto_validate() ...
+R/cluster_hits.R#L115   top_tables <- splineomics[["limma_spli ...
+R/cluster_hits.R#L116   data <- splineomics[["data"]] ...
+R/cluster_hits.R#L117   meta <- splineomics[["meta"]] ...
+R/cluster_hits.R#L118   annotation <- splineomics[["annotation ...
+R/cluster_hits.R#L119   report_info <- splineomics[["report_in ...
+R/cluster_hits.R#L120   design <- splineomics[["design"]] ...
+R/cluster_hits.R#L121   mode <- splineomics[["mode"]] ...
+R/cluster_hits.R#L122   condition <- splineomics[["condition"] ...
+R/cluster_hits.R#L123   spline_params <- splineomics[["spline_ ...
+R/cluster_hits.R#L124   meta_batch_column <- splineomics[["met ...
+R/cluster_hits.R#L125   meta_batch2_column <- splineomics[["me ...
+R/cluster_hits.R#L126   feature_name_columns <- splineomics[[" ...
+R/cluster_hits.R#L128   # To set the default p-value threshold ...
+R/cluster_hits.R#L129   if (is.numeric(adj_pthresholds) && ...
+R/cluster_hits.R#L133   } ...
+R/cluster_hits.R#L135   within_level_top_tables <- filter_top_ ...
+R/cluster_hits.R#L140   ) ...
+R/cluster_hits.R#L142   huge_table_user_prompter(within_level_ ...
+R/cluster_hits.R#L144   all_levels_clustering <- perform_clust ...
+R/cluster_hits.R#L151   ) ...
+R/cluster_hits.R#L153   report_info$limma_design <- c(design) ...
+R/cluster_hits.R#L154   report_info$meta_condition <- c(condit ...
+R/cluster_hits.R#L155   report_info$meta_batch <- paste( ...
+R/cluster_hits.R#L159   ) ...
+R/cluster_hits.R#L162   if (adj_pthresh_avrg_diff_conditions > ...
+R/cluster_hits.R#L165       splineomics = splineomics, ...
+R/cluster_hits.R#L166       all_levels_clustering = all_levels ...
+R/cluster_hits.R#L167       data = data, ...
+R/cluster_hits.R#L168       meta = meta, ...
+R/cluster_hits.R#L169       condition = condition, ...
+R/cluster_hits.R#L170       plot_info = plot_info, ...
+R/cluster_hits.R#L171       adj_pthresh_avrg_diff_conditions = ...
+R/cluster_hits.R#L172       adj_pthresh_interaction = adj_pthr ...
+R/cluster_hits.R#L174   } else { ...
+R/cluster_hits.R#L176   } ...
+R/cluster_hits.R#L179   if (!is.null(genes)) { ...
+R/cluster_hits.R#L181   } ...
+R/cluster_hits.R#L183   if (report) { ...
+R/cluster_hits.R#L185       all_levels_clustering = all_levels ...
+R/cluster_hits.R#L186       condition = condition, ...
+R/cluster_hits.R#L187       data = data, ...
+R/cluster_hits.R#L188       meta = meta, ...
+R/cluster_hits.R#L189       annotation = annotation, ...
+R/cluster_hits.R#L190       genes = genes, ...
+R/cluster_hits.R#L191       spline_params = spline_params, ...
+R/cluster_hits.R#L192       adj_pthresholds = adj_pthresholds, ...
+R/cluster_hits.R#L193       adj_pthresh_avrg_diff_conditions = ...
+R/cluster_hits.R#L194       adj_pthresh_interaction_condition_ ...
 R/cluster_hits.R#L196       report_dir = report_dir, ...
 R/cluster_hits.R#L197       mode = mode, ...
 R/cluster_hits.R#L198       report_info = report_info, ...
@@ -582,7 +467,6 @@ R/cluster_hits.R#L202       plot_info = plot_info, ...
 R/cluster_hits.R#L203       plot_options = plot_options, ...
 R/cluster_hits.R#L204       feature_name_columns = feature_nam ...
 R/cluster_hits.R#L205       spline_comp_plots = spline_comp_pl ...
-R/cluster_hits.R#L206       ) ...
 R/cluster_hits.R#L207   } else { ...
 R/cluster_hits.R#L209   } ...
 R/cluster_hits.R#L211   # Leave a message for the user instead ...
@@ -590,1770 +474,1628 @@ R/cluster_hits.R#L212   all_levels_clustering <- lapply(all_le ...
 R/cluster_hits.R#L214       return("No result for this level,  ...
 R/cluster_hits.R#L216       return(x) ...
 R/cluster_hits.R#L218   }) ...
-R/cluster_hits.R#L219    ...
 R/cluster_hits.R#L220   clustered_hits_levels <- list() ...
-R/cluster_hits.R#L221    ...
 R/cluster_hits.R#L222   for (i in seq_along(all_levels_cluster ...
 R/cluster_hits.R#L227       clustered_hits_levels[[element_nam ...
-R/cluster_hits.R#L231       clustered_hits_levels[[element_nam ...
-R/cluster_hits.R#L234   } ...
-R/cluster_hits.R#L235    ...
-R/cluster_hits.R#L236   if (!is.null(genes)) { ...
-R/cluster_hits.R#L239       if (is.character(df)) { ...
-R/cluster_hits.R#L241       } ...
-R/cluster_hits.R#L242       df$gene <- genes[df$feature] ...
-R/cluster_hits.R#L243       return(df) ...
-R/cluster_hits.R#L245   } ...
-R/cluster_hits.R#L246    ...
-R/cluster_hits.R#L247   print_info_message( ...
-R/cluster_hits.R#L250   ) ...
-R/cluster_hits.R#L251    ...
-R/cluster_hits.R#L252   list( ...
-R/cluster_hits.R#L271   result <- check_between_level_pattern( ...
-R/cluster_hits.R#L273   if (result$between_levels) {           ...
-R/cluster_hits.R#L275       within_level_top_tables_index <- 2 ...
+R/cluster_hits.R#L230       clustered_hits_levels[[element_nam ...
+R/cluster_hits.R#L233   } ...
+R/cluster_hits.R#L235   if (!is.null(genes)) { ...
+R/cluster_hits.R#L238       if (is.character(df)) { ...
+R/cluster_hits.R#L240       } ...
+R/cluster_hits.R#L241       df$gene <- genes[df$feature] ...
+R/cluster_hits.R#L242       return(df) ...
+R/cluster_hits.R#L244   } ...
+R/cluster_hits.R#L246   print_info_message( ...
+R/cluster_hits.R#L249   ) ...
+R/cluster_hits.R#L251   list( ...
+R/cluster_hits.R#L255   ) ...
+R/cluster_hits.R#L268   result <- check_between_level_pattern( ...
+R/cluster_hits.R#L270   if (result$between_levels) { # between ...
+R/cluster_hits.R#L272       within_level_top_tables_index <- 2 ...
+R/cluster_hits.R#L273       between_level_top_tables_index <-  ...
+R/cluster_hits.R#L275       within_level_top_tables_index <- 1 ...
 R/cluster_hits.R#L276       between_level_top_tables_index <-  ...
-R/cluster_hits.R#L278       within_level_top_tables_index <- 1 ...
-R/cluster_hits.R#L279       between_level_top_tables_index <-  ...
-R/cluster_hits.R#L285   } else {                               ...
-R/cluster_hits.R#L287   } ...
-R/cluster_hits.R#L289   for (i in seq_along(within_level_top_t ...
-R/cluster_hits.R#L295       hit_indices <- get_level_hit_indic ...
-R/cluster_hits.R#L296                                          ...
-R/cluster_hits.R#L297                                          ...
-R/cluster_hits.R#L299       hit_indices <- within_level_top_ta ...
-R/cluster_hits.R#L301       ] ...
-R/cluster_hits.R#L305       within_level_top_table[within_leve ...
-R/cluster_hits.R#L306                              %in% hit_in ...
-R/cluster_hits.R#L309       message(paste("Level", level, "has ...
-R/cluster_hits.R#L311       within_level_top_tables[[i]] <- NA ...
-R/cluster_hits.R#L313       within_level_top_tables[[i]] <- to ...
-R/cluster_hits.R#L316   } ...
-R/cluster_hits.R#L318   if (all(is.na(within_level_top_tables) ...
-R/cluster_hits.R#L320   } ...
-R/cluster_hits.R#L322   within_level_top_tables ...
-R/cluster_hits.R#L338    ...
-R/cluster_hits.R#L339   for (i in seq_along(tables)) { ...
-R/cluster_hits.R#L342       next ...
-R/cluster_hits.R#L346       # Prompt the user for input ...
-R/cluster_hits.R#L347       while (TRUE) { ...
-R/cluster_hits.R#L349           "The table", ...
-R/cluster_hits.R#L350           names(tables)[i],  ...
-R/cluster_hits.R#L351           "has more than 500 rows. Do yo ...
-R/cluster_hits.R#L352           )) ...
-R/cluster_hits.R#L357           # Proceed ...
-R/cluster_hits.R#L358           print("Proceeding...") ...
-R/cluster_hits.R#L359           break   ...
-R/cluster_hits.R#L361           stop("Script stopped. User cho ...
-R/cluster_hits.R#L363           # Invalid input, ask the user  ...
-R/cluster_hits.R#L364           cat(paste( ...
-R/cluster_hits.R#L369       } ...
-R/cluster_hits.R#L371   } ...
-R/cluster_hits.R#L403   levels <- unique(meta[[condition]]) ...
-R/cluster_hits.R#L405   all_levels_clustering <- mapply( ...
-R/cluster_hits.R#L411       meta = meta, ...
-R/cluster_hits.R#L412       condition = condition, ...
-R/cluster_hits.R#L413       spline_params = spline_params, ...
-R/cluster_hits.R#L414       mode = mode ...
-R/cluster_hits.R#L415       ), ...
-R/cluster_hits.R#L418    ...
-R/cluster_hits.R#L419   return(all_levels_clustering) ...
-R/cluster_hits.R#L504   # Optionally remove the batch-effect w ...
-R/cluster_hits.R#L505   # For mode == "integrated", the batch- ...
-R/cluster_hits.R#L506   # For mode == "isolated", the batch-ef ...
-R/cluster_hits.R#L507   datas <- remove_batch_effect_cluster_h ...
-R/cluster_hits.R#L519   # To extract the stored value for the  ...
-R/cluster_hits.R#L520   clusters <- c() ...
-R/cluster_hits.R#L521   for (i in seq_along(all_levels_cluster ...
-R/cluster_hits.R#L525       next ...
-R/cluster_hits.R#L530   } ...
-R/cluster_hits.R#L532   if (!dir.exists(report_dir)) { ...
-R/cluster_hits.R#L534   } ...
-R/cluster_hits.R#L536   time_unit_label <- paste0("[", plot_in ...
-R/cluster_hits.R#L538   heatmaps <- plot_heatmap( ...
-R/cluster_hits.R#L548   # log2_intensity_shape <- plot_log2_in ...
-R/cluster_hits.R#L550   level_headers_info <- list() ...
-R/cluster_hits.R#L551   plots <- list() ...
-R/cluster_hits.R#L552   plots_sizes <- list() ...
-R/cluster_hits.R#L553   q <- 0 ...
-R/cluster_hits.R#L555   for (i in seq_along(all_levels_cluster ...
-R/cluster_hits.R#L560       next ...
-R/cluster_hits.R#L562       q <- q + 1 ...
-R/cluster_hits.R#L571       ith_unique_value <- levels[i] ...
-R/cluster_hits.R#L573       # Construct header name ...
-R/cluster_hits.R#L574       header_name <- ith_unique_value ...
-R/cluster_hits.R#L576       nr_hits <- nrow(level_clustering$c ...
-R/cluster_hits.R#L578       header_info <- list( ...
-R/cluster_hits.R#L584       level_headers_info[[i]] <- header_ ...
-R/cluster_hits.R#L590       hc = level_clustering$hc, ...
-R/cluster_hits.R#L591       clusters = level_clustering[["clus ...
-R/cluster_hits.R#L592       k = clusters[q] ...
-R/cluster_hits.R#L593       ) ...
-R/cluster_hits.R#L596       curve_values = curve_values, ...
-R/cluster_hits.R#L597       plot_info = plot_info ...
-R/cluster_hits.R#L598       ) ...
-R/cluster_hits.R#L601       curve_values = curve_values, ...
-R/cluster_hits.R#L602       plot_info = plot_info ...
-R/cluster_hits.R#L603       ) ...
-R/cluster_hits.R#L611       data_level <- datas[[i]][, col_ind ...
-R/cluster_hits.R#L613       data_level <- datas[[i]] ...
-R/cluster_hits.R#L622       nr_of_hits <- sum( ...
-R/cluster_hits.R#L626       main_title <- paste( ...
-R/cluster_hits.R#L634       top_table_cluster <- top_table |> ...
-R/cluster_hits.R#L637       X <- level_clustering$X ...
-R/cluster_hits.R#L639       spline_plots <- plot_splines( ...
-R/cluster_hits.R#L650       clusters_spline_plots[[length(clus ...
-R/cluster_hits.R#L657       plots, ...
-R/cluster_hits.R#L658       new_level = "level_header",    # i ...
-R/cluster_hits.R#L659       dendrogram = list(dendrogram), ...
-R/cluster_hits.R#L660       p_curves = list(p_curves), ...
-R/cluster_hits.R#L661       cluster_mean_splines = list(cluste ...
-R/cluster_hits.R#L662       heatmap = heatmaps[[i]], ...
-R/cluster_hits.R#L663       individual_spline_plots = clusters ...
-R/cluster_hits.R#L664       ) ...
-R/cluster_hits.R#L668       plots_sizes, ...
-R/cluster_hits.R#L669       999,               # dummy size fo ...
-R/cluster_hits.R#L670       1.5, ...
-R/cluster_hits.R#L671       1.5, ...
-R/cluster_hits.R#L672       1, ...
-R/cluster_hits.R#L673       1.5, ...
-R/cluster_hits.R#L674       rep(1, length(clusters_spline_plot ...
-R/cluster_hits.R#L675       ) ...
-R/cluster_hits.R#L676   } ...
-R/cluster_hits.R#L678   topTables <- list() ...
-R/cluster_hits.R#L680   # Loop over each element in all_levels ...
-R/cluster_hits.R#L681   for (i in seq_along(all_levels_cluster ...
-R/cluster_hits.R#L696       element_name <- substr(element_nam ...
-R/cluster_hits.R#L700   } ...
-R/cluster_hits.R#L701    ...
-R/cluster_hits.R#L702   if (!is.null(genes)) { ...
-R/cluster_hits.R#L704       all_levels_clustering, ...
-R/cluster_hits.R#L705       genes ...
-R/cluster_hits.R#L707   } else { ...
-R/cluster_hits.R#L709   } ...
-R/cluster_hits.R#L710    ...
-R/cluster_hits.R#L711   all_levels_clustering <- merge_annotat ...
-R/cluster_hits.R#L714   ) ...
-R/cluster_hits.R#L716   print("Generating report. This takes a ...
-R/cluster_hits.R#L718   generate_report_html( ...
-R/cluster_hits.R#L737   return(plots) ...
-R/cluster_hits.R#L785   # Initialize the list that will store  ...
-R/cluster_hits.R#L786   comparison_plots <- list() ...
-R/cluster_hits.R#L787    ...
-R/cluster_hits.R#L788   # Check if all three elements are pres ...
-R/cluster_hits.R#L789   if (length(splineomics[['limma_splines ...
-R/cluster_hits.R#L793       splineomics[['limma_splines_result ...
-R/cluster_hits.R#L795       splineomics[['limma_splines_result ...
-R/cluster_hits.R#L805       condition_1 <- pair[1] ...
-R/cluster_hits.R#L806       condition_2 <- pair[2] ...
-R/cluster_hits.R#L807        ...
-R/cluster_hits.R#L808       # Sort the current pair of conditi ...
-R/cluster_hits.R#L809       sorted_conditions <- sort(c(condit ...
-R/cluster_hits.R#L810        ...
-R/cluster_hits.R#L811       # Initialize matched dataframes as ...
-R/cluster_hits.R#L812       matched_avrg_diff <- NULL ...
-R/cluster_hits.R#L813       matched_interaction_cond_time <- N ...
-R/cluster_hits.R#L814        ...
-R/cluster_hits.R#L815       # Search for the correct dataframe ...
-R/cluster_hits.R#L816       for (df_name in names(avrg_diff_co ...
-R/cluster_hits.R#L819           "avrg_diff_", ...
-R/cluster_hits.R#L820           "", ...
-R/cluster_hits.R#L821           df_name ...
-R/cluster_hits.R#L822           ), ...
-R/cluster_hits.R#L823           "_vs_" ...
-R/cluster_hits.R#L824           )[[1]] ...
-R/cluster_hits.R#L830           matched_avrg_diff <- avrg_diff ...
-R/cluster_hits.R#L831           break ...
-R/cluster_hits.R#L833       } ...
-R/cluster_hits.R#L835       # Search for the correct dataframe ...
-R/cluster_hits.R#L836       for (df_name in names(interaction_ ...
-R/cluster_hits.R#L840           "time_interaction_", ...
-R/cluster_hits.R#L841           "",  ...
-R/cluster_hits.R#L842           df_name ...
-R/cluster_hits.R#L843           ), ...
-R/cluster_hits.R#L844           "_vs_" ...
-R/cluster_hits.R#L845           )[[1]] ...
-R/cluster_hits.R#L852           matched_interaction_cond_time  ...
-R/cluster_hits.R#L853           break ...
-R/cluster_hits.R#L855       } ...
-R/cluster_hits.R#L857       # If both matched dataframes are f ...
-R/cluster_hits.R#L858       if (!is.null(matched_avrg_diff)  ...
-R/cluster_hits.R#L859           && !is.null(matched_interactio ...
-R/cluster_hits.R#L870           time_effect_1 = time_effect_1, ...
-R/cluster_hits.R#L871           condition_1 = condition_1, ...
-R/cluster_hits.R#L872           time_effect_2 = time_effect_2, ...
-R/cluster_hits.R#L873           condition_2 = condition_2, ...
-R/cluster_hits.R#L874           avrg_diff_conditions = matched ...
-R/cluster_hits.R#L875           interaction_condition_time = m ...
-R/cluster_hits.R#L876           data = data, ...
-R/cluster_hits.R#L877           meta = meta, ...
-R/cluster_hits.R#L878           condition = condition, ...
-R/cluster_hits.R#L879           X_1 = X_1, ...
-R/cluster_hits.R#L880           X_2 = X_2, ...
-R/cluster_hits.R#L881           plot_info = plot_info, ...
-R/cluster_hits.R#L882           adj_pthresh_avrg_diff_conditio ...
-R/cluster_hits.R#L883           adj_pthresh_interaction = adj_ ...
-R/cluster_hits.R#L890       } ...
-R/cluster_hits.R#L892   } else { ...
-R/cluster_hits.R#L894   } ...
-R/cluster_hits.R#L895    ...
-R/cluster_hits.R#L896   # Return the list containing all plot  ...
-R/cluster_hits.R#L897   return(comparison_plots) ...
-R/cluster_hits.R#L917   message(paste0( ...
-R/cluster_hits.R#L922   )) ...
-R/cluster_hits.R#L923    ...
-R/cluster_hits.R#L924   message(paste0( ...
-R/cluster_hits.R#L928   )) ...
-R/cluster_hits.R#L929    ...
-R/cluster_hits.R#L930   # Apply cleaning process to each gene ...
-R/cluster_hits.R#L931   cleaned_genes <- sapply(genes, functio ...
-R/cluster_hits.R#L933       # Replace all non-alphanumeric cha ...
-R/cluster_hits.R#L934       gene_name <- gsub("[^A-Za-z0-9]",  ...
-R/cluster_hits.R#L935        ...
-R/cluster_hits.R#L936       # Extract the first block of alpha ...
-R/cluster_hits.R#L937       # first whitespace ...
-R/cluster_hits.R#L938       clean_gene_name <- sub("^([A-Za-z0 ...
-R/cluster_hits.R#L939        ...
-R/cluster_hits.R#L940       # Convert to uppercase ...
-R/cluster_hits.R#L941       toupper(clean_gene_name) ...
-R/cluster_hits.R#L943       NA ...
-R/cluster_hits.R#L945   }) ...
-R/cluster_hits.R#L946    ...
-R/cluster_hits.R#L947   # Return cleaned genes, keeping the sa ...
-R/cluster_hits.R#L948   return(cleaned_genes) ...
-R/cluster_hits.R#L983   # Initialize variables ...
-R/cluster_hits.R#L984   between_levels <- FALSE ...
-R/cluster_hits.R#L985   index_with_pattern <- NA ...
-R/cluster_hits.R#L987   # Define the regular expression patter ...
-R/cluster_hits.R#L988   pattern <- ".+_vs_.+" ...
-R/cluster_hits.R#L990   # Check if top_tables is a list ...
-R/cluster_hits.R#L991   if (is.list(top_tables)) { ...
-R/cluster_hits.R#L994       # Check if the element is a list ...
-R/cluster_hits.R#L995       if (is.list(top_tables[[i]])) { ...
-R/cluster_hits.R#L1000           between_levels <- TRUE ...
-R/cluster_hits.R#L1001           index_with_pattern <- i ...
-R/cluster_hits.R#L1002           break ...
-R/cluster_hits.R#L1004       } ...
-R/cluster_hits.R#L1006   } ...
-R/cluster_hits.R#L1008   return(list( ...
-R/cluster_hits.R#L1044   unique_hit_indices <- c() ...
-R/cluster_hits.R#L1046   # Loop through the elements of the lis ...
-R/cluster_hits.R#L1047   for (i in seq_along(between_level_top_ ...
-R/cluster_hits.R#L1053       # Get the current data frame ...
-R/cluster_hits.R#L1054       within_level_top_table <- between_ ...
-R/cluster_hits.R#L1056       # Find the row indices that meet t ...
-R/cluster_hits.R#L1057       hit_indices <- ...
-R/cluster_hits.R#L1060       # Extract the feature indices from ...
-R/cluster_hits.R#L1061       feature_indices <- within_level_to ...
-R/cluster_hits.R#L1062       feature_indices <- within_level_to ...
-R/cluster_hits.R#L1064       unique_hit_indices <- c( ...
-R/cluster_hits.R#L1069   } ...
-R/cluster_hits.R#L1071   # Get unique feature indices ...
-R/cluster_hits.R#L1072   unique_hit_indices <- unique(unique_hi ...
-R/cluster_hits.R#L1108   # means that it had < 2 hits. ...
-R/cluster_hits.R#L1109   if (is.null(top_table) || all(is.na(to ...
-R/cluster_hits.R#L1111   } ...
-R/cluster_hits.R#L1112    ...
-R/cluster_hits.R#L1113   curve_results <- get_curve_values( ...
-R/cluster_hits.R#L1122   normalized_curves <- normalize_curves( ...
-R/cluster_hits.R#L1124   clustering_result <- ...
-R/cluster_hits.R#L1126       curve_values = normalized_curves, ...
-R/cluster_hits.R#L1127       k = cluster_size, ...
-R/cluster_hits.R#L1128       smooth_timepoints = curve_results$ ...
-R/cluster_hits.R#L1129       top_table = top_table ...
-R/cluster_hits.R#L1130       ) ...
-R/cluster_hits.R#L1132   clustering_result$X <- curve_results$X ...
-R/cluster_hits.R#L1133   return(clustering_result) ...
-R/cluster_hits.R#L1183   datas <- list() ...
-R/cluster_hits.R#L1184   n <- length(unique(meta[[condition]])) ...
-R/cluster_hits.R#L1185   level_indices <- as.integer(1:n) ...
-R/cluster_hits.R#L1186   unique_levels <- unique(meta[[conditio ...
-R/cluster_hits.R#L1188   if (!is.null(meta_batch_column)) { ...
-R/cluster_hits.R#L1192       # Take only the data from the leve ...
-R/cluster_hits.R#L1193       if (mode == "isolated") { ...
-R/cluster_hits.R#L1198       } else { ...
-R/cluster_hits.R#L1202       } ...
-R/cluster_hits.R#L1204       design_matrix <- design2design_mat ...
-R/cluster_hits.R#L1211       # The batch columns are not allowe ...
-R/cluster_hits.R#L1212       # removeBatchEffect. Instead the b ...
-R/cluster_hits.R#L1213       batch_columns <- grep( ...
-R/cluster_hits.R#L1215           "^", ...
-R/cluster_hits.R#L1216           meta_batch_column ...
-R/cluster_hits.R#L1217           ), ...
-R/cluster_hits.R#L1220        ...
-R/cluster_hits.R#L1221       design_matrix <- design_matrix[, - ...
-R/cluster_hits.R#L1223       args <- list( ...
-R/cluster_hits.R#L1227       ) ...
-R/cluster_hits.R#L1228        ...
-R/cluster_hits.R#L1229       if (mode == "isolated") { ...
-R/cluster_hits.R#L1236           args$batch2 <- meta_copy[[meta ...
-R/cluster_hits.R#L1238       } else {   # mode == integrated ...
-R/cluster_hits.R#L1242           args$batch2 <- meta_copy[[meta ...
-R/cluster_hits.R#L1244       } ...
-R/cluster_hits.R#L1246       data_copy <- do.call(limma::remove ...
-R/cluster_hits.R#L1248       # For mode == "integrated", all el ...
-R/cluster_hits.R#L1249       datas <- c(datas, list(data_copy)) ...
-R/cluster_hits.R#L1252   } else {          # no meta batch colu ...
-R/cluster_hits.R#L1256       # Take only the data from the leve ...
-R/cluster_hits.R#L1257       if (mode == "isolated") { ...
-R/cluster_hits.R#L1261       } else { ...
-R/cluster_hits.R#L1263       } ...
-R/cluster_hits.R#L1265       datas <- c(datas, list(data_copy)) ...
-R/cluster_hits.R#L1267   } ...
-R/cluster_hits.R#L1268   return(datas) ...
-R/cluster_hits.R#L1313   BASE_TEXT_SIZE_PT <- 5 ...
-R/cluster_hits.R#L1315   ht_opt( ...
-R/cluster_hits.R#L1329   ) ...
-R/cluster_hits.R#L1330    ...
-R/cluster_hits.R#L1331   ht_opt$message = FALSE ...
-R/cluster_hits.R#L1333   levels <- unique(meta[[condition]]) ...
-R/cluster_hits.R#L1334   heatmaps <- list() ...
-R/cluster_hits.R#L1335    ...
-R/cluster_hits.R#L1336   # Generate a heatmap for every level ...
-R/cluster_hits.R#L1337   for (i in seq_along(all_levels_cluster ...
-R/cluster_hits.R#L1342       heatmaps[[length(heatmaps) + 1]] < ...
-R/cluster_hits.R#L1343       next ...
-R/cluster_hits.R#L1355       data_level <- datas[[i]][, level_i ...
-R/cluster_hits.R#L1357       data_level <- datas[[i]] ...
-R/cluster_hits.R#L1368       ComplexHeatmap::Heatmap( ...
-R/cluster_hits.R#L1371           "left-labels = cluster,",  ...
-R/cluster_hits.R#L1372           "top-labels = time" ...
-R/cluster_hits.R#L1373           ), ...
-R/cluster_hits.R#L1380           title = "z-score of log2 value ...
-R/cluster_hits.R#L1381           title_position = "lefttop-rot" ...
-R/cluster_hits.R#L1382           ), ...
-R/cluster_hits.R#L1396   } ...
-R/cluster_hits.R#L1397   heatmaps ...
-R/cluster_hits.R#L1428   # Convert hc to dendrogram ...
-R/cluster_hits.R#L1429   dend <- stats::as.dendrogram(hc) ...
-R/cluster_hits.R#L1431   # Get clusters based on cutree result ...
-R/cluster_hits.R#L1432   clusters <- stats::cutree(hc, k) ...
-R/cluster_hits.R#L1434   # Get the order of clusters as they ap ...
-R/cluster_hits.R#L1435   cluster_order <- clusters[hc[["order"] ...
-R/cluster_hits.R#L1437   # Find the unique clusters in the orde ...
-R/cluster_hits.R#L1438   unique_cluster_order <- unique(cluster ...
-R/cluster_hits.R#L1440   # Generate distinct colors for the k c ...
-R/cluster_hits.R#L1441   colors <- scales::hue_pal()(k) ...
-R/cluster_hits.R#L1443   # Reorder the colors according to the  ...
-R/cluster_hits.R#L1444   ordered_colors <- colors[match( ...
-R/cluster_hits.R#L1449   # Apply the reordered colors to the br ...
-R/cluster_hits.R#L1450   dend_colored <- dendextend::color_bran ...
-R/cluster_hits.R#L1454   ) ...
-R/cluster_hits.R#L1456   # Remove labels for the plot ...
-R/cluster_hits.R#L1457   dend_colored <- dendextend::set( ...
-R/cluster_hits.R#L1461       "", ...
-R/cluster_hits.R#L1462       length(dendextend::get_leaves_attr ...
-R/cluster_hits.R#L1464   ) ...
-R/cluster_hits.R#L1466   # Convert to ggplot-compatible dendrog ...
-R/cluster_hits.R#L1467   ggdend <- dendextend::as.ggdend(dend_c ...
-R/cluster_hits.R#L1469   # Create the plot ...
-R/cluster_hits.R#L1470   p_dend <- ggplot2::ggplot(ggdend) + ...
-R/cluster_hits.R#L1472       title = paste( ...
-R/cluster_hits.R#L1475       ), ...
-R/cluster_hits.R#L1476       x = "", ...
-R/cluster_hits.R#L1477       y = "" ...
-R/cluster_hits.R#L1481       axis.text.x = ggplot2::element_bla ...
-R/cluster_hits.R#L1482       axis.ticks.x = ggplot2::element_bl ...
-R/cluster_hits.R#L1483       axis.text.y = ggplot2::element_bla ...
-R/cluster_hits.R#L1484       axis.ticks.y = ggplot2::element_bl ...
-R/cluster_hits.R#L1485       plot.title = ggplot2::element_text ...
-R/cluster_hits.R#L1488   return(p_dend) ...
-R/cluster_hits.R#L1521   time <- as.numeric(colnames(curve_valu ...
-R/cluster_hits.R#L1523   clusters <- unique(curve_values$cluste ...
-R/cluster_hits.R#L1524   average_curves <- data.frame() ...
-R/cluster_hits.R#L1526   # Loop through each unique cluster val ...
-R/cluster_hits.R#L1527   for (current_cluster in clusters) { ...
-R/cluster_hits.R#L1536       Time = time, Value = average_curve ...
-R/cluster_hits.R#L1537       cluster = as.factor(current_cluste ...
-R/cluster_hits.R#L1538       ) ...
-R/cluster_hits.R#L1542       average_curves, ...
-R/cluster_hits.R#L1543       curve_df ...
-R/cluster_hits.R#L1544       ) ...
-R/cluster_hits.R#L1545   } ...
-R/cluster_hits.R#L1547   average_curves$cluster <- factor( ...
-R/cluster_hits.R#L1550       unique(as.numeric(average_curves$c ...
-R/cluster_hits.R#L1552    ...
-R/cluster_hits.R#L1553   time_unit_label = paste0("[", plot_inf ...
-R/cluster_hits.R#L1554    ...
-R/cluster_hits.R#L1555   cluster_colors <- scales::hue_pal()(le ...
-R/cluster_hits.R#L1556    ...
-R/cluster_hits.R#L1557   if (length(cluster_colors) > length(un ...
-R/cluster_hits.R#L1559   } ...
-R/cluster_hits.R#L1560   names(cluster_colors) <- paste( ...
-R/cluster_hits.R#L1564    ...
-R/cluster_hits.R#L1565   color_values <- c(cluster_colors) ...
-R/cluster_hits.R#L1566   distinct_colors <- c() ...
-R/cluster_hits.R#L1567    ...
-R/cluster_hits.R#L1568   # Create the base plot ...
-R/cluster_hits.R#L1569   p_curves <- ggplot2::ggplot( ...
-R/cluster_hits.R#L1572       x = !!rlang::sym("Time"), ...
-R/cluster_hits.R#L1573       y = !!rlang::sym("Value"), ...
-R/cluster_hits.R#L1574       color = paste("Cluster", factor(!! ...
-R/cluster_hits.R#L1576   ) + ...
-R/cluster_hits.R#L1583    ...
-R/cluster_hits.R#L1584   # Conditionally add vertical dashed li ...
-R/cluster_hits.R#L1585   if (!all(is.na(plot_info$treatment_lab ...
-R/cluster_hits.R#L1588       Time = plot_info$treatment_timepoi ...
-R/cluster_hits.R#L1589       Label = plot_info$treatment_labels ...
-R/cluster_hits.R#L1593       ggplot2::geom_vline( ...
-R/cluster_hits.R#L1598       ) + ...
-R/cluster_hits.R#L1599       ggplot2::geom_text( ...
-R/cluster_hits.R#L1602           # Slightly offset from the ver ...
-R/cluster_hits.R#L1603           x = .data$Time - max(.data$Tim ...
-R/cluster_hits.R#L1604           y = 1,  # Place the labels at  ...
-R/cluster_hits.R#L1605           label = .data$Time, ...
-R/cluster_hits.R#L1606           color = .data$Label ...
-R/cluster_hits.R#L1613       ) ...
-R/cluster_hits.R#L1619       cluster_colors, ...
-R/cluster_hits.R#L1620       distinct_colors ...
-R/cluster_hits.R#L1621       ) ...
-R/cluster_hits.R#L1622   } ...
-R/cluster_hits.R#L1623    ...
-R/cluster_hits.R#L1624   # Finalize color scale and theme adjus ...
-R/cluster_hits.R#L1625   p_curves <- p_curves + ...
-R/cluster_hits.R#L1627       values = color_values, ...
-R/cluster_hits.R#L1628       name = ggplot2::element_text("Clus ...
-R/cluster_hits.R#L1629       guide = ggplot2::guide_legend( ...
-R/cluster_hits.R#L1631           linetype = c(rep("solid", leng ...
-R/cluster_hits.R#L1632                        rep("dashed", len ...
-R/cluster_hits.R#L1633           size = c(rep(1, length(cluster ...
-R/cluster_hits.R#L1634                    rep(0.5, length(disti ...
-R/cluster_hits.R#L1636       ) ...
-R/cluster_hits.R#L1639       legend.key.size = grid::unit(0.6,  ...
-R/cluster_hits.R#L1640       legend.key.height = grid::unit(0.3 ...
-R/cluster_hits.R#L1641       legend.title = ggplot2::element_te ...
-R/cluster_hits.R#L1644   return(p_curves) ...
-R/cluster_hits.R#L1675   clusters <- sort(unique(curve_values$c ...
-R/cluster_hits.R#L1677   plots <- list() ...
-R/cluster_hits.R#L1678   for (current_cluster in clusters) { ...
-R/cluster_hits.R#L1680       curve_values, ...
-R/cluster_hits.R#L1681       curve_values$cluster == current_cl ...
-R/cluster_hits.R#L1682       ) ...
-R/cluster_hits.R#L1686       "Cluster", ...
-R/cluster_hits.R#L1687       current_cluster,  ...
-R/cluster_hits.R#L1688       "| Hits:", ...
-R/cluster_hits.R#L1689       nr_of_hits, ...
-R/cluster_hits.R#L1690       sep = " " ...
-R/cluster_hits.R#L1691       ) ...
-R/cluster_hits.R#L1694       plot_single_and_mean_splines( ...
-R/cluster_hits.R#L1699   } ...
-R/cluster_hits.R#L1700    ...
-R/cluster_hits.R#L1701   return(plots) ...
-R/cluster_hits.R#L1757    ...
-R/cluster_hits.R#L1758   # Sort so that HTML reports are easier ...
-R/cluster_hits.R#L1759   top_table <- top_table |> dplyr::arran ...
-R/cluster_hits.R#L1760    ...
-R/cluster_hits.R#L1761   DoF <- which(names(top_table) == "AveE ...
-R/cluster_hits.R#L1762   time_points <- meta$Time ...
-R/cluster_hits.R#L1763    ...
-R/cluster_hits.R#L1764   titles <- data.frame( ...
-R/cluster_hits.R#L1767   ) ...
-R/cluster_hits.R#L1768    ...
-R/cluster_hits.R#L1769   plot_list <- list() ...
-R/cluster_hits.R#L1770    ...
-R/cluster_hits.R#L1771   for (hit in 1:nrow(top_table)) { ...
-R/cluster_hits.R#L1779       meta$Time[1], ...
-R/cluster_hits.R#L1780       meta$Time[length(meta$Time)], ...
-R/cluster_hits.R#L1781       length.out = 1000   # To ensure sm ...
-R/cluster_hits.R#L1787       Time = time_points, ...
-R/cluster_hits.R#L1788       Y = y_values ...
-R/cluster_hits.R#L1793       replicates <- meta[[replicate_colu ...
-R/cluster_hits.R#L1794       plot_data$Replicate <- replicates  ...
-R/cluster_hits.R#L1795        ...
-R/cluster_hits.R#L1796       # Create color palette for replica ...
-R/cluster_hits.R#L1797       replicate_colors <- scales::hue_pa ...
-R/cluster_hits.R#L1798       names(replicate_colors) <- unique( ...
-R/cluster_hits.R#L1799        ...
-R/cluster_hits.R#L1800       color_values <- c("Spline" = "red" ...
-R/cluster_hits.R#L1802       color_values <- c("Data" = "blue", ...
-R/cluster_hits.R#L1815       adj_p_value < adj_pthreshold / 50, ...
-R/cluster_hits.R#L1816       "***", ...
-R/cluster_hits.R#L1817       ifelse( ...
-R/cluster_hits.R#L1821           adj_p_value < adj_pthreshold, ...
-R/cluster_hits.R#L1822           "*", ...
-R/cluster_hits.R#L1823           "" ...
-R/cluster_hits.R#L1825       ) ...
-R/cluster_hits.R#L1830       spline_label <- paste0( ...
-R/cluster_hits.R#L1836       ) ...
-R/cluster_hits.R#L1837        ...
-R/cluster_hits.R#L1838       plot_spline <- data.frame( ...
-R/cluster_hits.R#L1841       ) ...
-R/cluster_hits.R#L1842        ...
-R/cluster_hits.R#L1843       x_max <- as.numeric(max(time_point ...
-R/cluster_hits.R#L1844       x_extension <- x_max * 0.05 ...
-R/cluster_hits.R#L1845        ...
-R/cluster_hits.R#L1846       all_time_points <- unique(c(time_p ...
-R/cluster_hits.R#L1847        ...
-R/cluster_hits.R#L1848       # Filter out close labels to avoid ...
-R/cluster_hits.R#L1849       time_diffs <- diff(all_time_points ...
-R/cluster_hits.R#L1850       min_spacing <- x_max * 0.05  # kee ...
-R/cluster_hits.R#L1851       keep_labels <- c(TRUE, time_diffs  ...
-R/cluster_hits.R#L1852       filtered_time_points <- all_time_p ...
-R/cluster_hits.R#L1853        ...
-R/cluster_hits.R#L1854       dynamic_label <- function(labels)  ...
-R/cluster_hits.R#L1856           labels == "Spline", ...
-R/cluster_hits.R#L1857           spline_label, ...
-R/cluster_hits.R#L1858           labels ...
-R/cluster_hits.R#L1860       } ...
-R/cluster_hits.R#L1861        ...
-R/cluster_hits.R#L1862       p <- ggplot2::ggplot() + ...
-R/cluster_hits.R#L1864           data = plot_data,  ...
-R/cluster_hits.R#L1865           ggplot2::aes( ...
-R/cluster_hits.R#L1870               .data$Replicate ...
-R/cluster_hits.R#L1872               "Data" ...
-R/cluster_hits.R#L1874           ), ...
-R/cluster_hits.R#L1875           alpha = 0.5  # 50% transparent ...
-R/cluster_hits.R#L1878           data = plot_spline,  ...
-R/cluster_hits.R#L1879           ggplot2::aes( ...
-R/cluster_hits.R#L1883           ) ...
-R/cluster_hits.R#L1887           limits = c(min(time_points), x ...
-R/cluster_hits.R#L1888           breaks = filtered_time_points, ...
-R/cluster_hits.R#L1889           labels = function(x) { ...
-R/cluster_hits.R#L1891           } ...
-R/cluster_hits.R#L1894           x = paste0("Time ", time_unit_ ...
-R/cluster_hits.R#L1895           y = plot_info$y_axis_label ...
-R/cluster_hits.R#L1898           values = color_values, ...
-R/cluster_hits.R#L1899           labels = dynamic_label ...
-R/cluster_hits.R#L1902           legend.position = "right",  ...
-R/cluster_hits.R#L1903           legend.justification = "center ...
-R/cluster_hits.R#L1904           legend.box = "vertical",    ...
-R/cluster_hits.R#L1905           legend.background = ggplot2::e ...
-R/cluster_hits.R#L1906           legend.title = ggplot2::elemen ...
-R/cluster_hits.R#L1907           legend.text = ggplot2::element ...
-R/cluster_hits.R#L1910           ), ...
-R/cluster_hits.R#L1911           axis.text.x = ggplot2::element ...
-R/cluster_hits.R#L1915           ), ...
-R/cluster_hits.R#L1916           axis.title.y = ggplot2::elemen ...
-R/cluster_hits.R#L1919           ), ...
-R/cluster_hits.R#L1920           axis.text.y = ggplot2::element ...
-R/cluster_hits.R#L1922           ) ...
-R/cluster_hits.R#L1924        ...
-R/cluster_hits.R#L1925       if (!all(is.na(treatment_labels))) ...
-R/cluster_hits.R#L1928           Time = treatment_times, ...
-R/cluster_hits.R#L1929           Label = treatment_labels ...
-R/cluster_hits.R#L1933           data = treatment_df,  ...
-R/cluster_hits.R#L1934           ggplot2::aes( ...
-R/cluster_hits.R#L1937           ),  ...
-R/cluster_hits.R#L1938           linetype = "dashed",  ...
-R/cluster_hits.R#L1939           size = 0.5 ...
-R/cluster_hits.R#L1951           data = treatment_df, ...
-R/cluster_hits.R#L1952           ggplot2::aes( ...
-R/cluster_hits.R#L1957           ), ...
-R/cluster_hits.R#L1958           angle = 90,  # Rotate the labe ...
-R/cluster_hits.R#L1959           vjust = 0,  # Position on the  ...
-R/cluster_hits.R#L1960           hjust = 1,  # Align the right  ...
-R/cluster_hits.R#L1961           size = 3,  # Text size ...
-R/cluster_hits.R#L1962           show.legend = FALSE  # Stop te ...
-R/cluster_hits.R#L1964       } ...
-R/cluster_hits.R#L1965        ...
-R/cluster_hits.R#L1966       # Add title and annotations ...
-R/cluster_hits.R#L1967       matched_row <- dplyr::filter( ...
-R/cluster_hits.R#L1970       ) ...
-R/cluster_hits.R#L1971        ...
-R/cluster_hits.R#L1972       title <- as.character(matched_row$ ...
-R/cluster_hits.R#L1973        ...
-R/cluster_hits.R#L1974       if (nchar(title) > 100) { ...
-R/cluster_hits.R#L1978                       "Truncating it to  ...
-R/cluster_hits.R#L1979       } ...
-R/cluster_hits.R#L1980        ...
-R/cluster_hits.R#L1981       if (is.na(title)) { ...
-R/cluster_hits.R#L1983       } ...
-R/cluster_hits.R#L1984        ...
-R/cluster_hits.R#L1985       p <- p + ggplot2::labs(title = tit ...
-R/cluster_hits.R#L1987           plot.title = ggplot2::element_ ...
-R/cluster_hits.R#L1988           axis.title.x = ggplot2::elemen ...
-R/cluster_hits.R#L1989           axis.title.y = ggplot2::elemen ...
-R/cluster_hits.R#L1992           "text", ...
-R/cluster_hits.R#L1993           x = x_max + (x_extension / 2), ...
-R/cluster_hits.R#L1994           y = max(fitted_values, na.rm = ...
-R/cluster_hits.R#L1995           label = "", ...
-R/cluster_hits.R#L1996           hjust = 0.5, ...
-R/cluster_hits.R#L1997           vjust = 1, ...
-R/cluster_hits.R#L1998           size = 3.5, ...
-R/cluster_hits.R#L1999           angle = 0, ...
-R/cluster_hits.R#L2000           color = "black" ...
-R/cluster_hits.R#L2002       p ...
-R/cluster_hits.R#L2006   } ...
-R/cluster_hits.R#L2007    ...
-R/cluster_hits.R#L2008   return(plot_list) ...
-R/cluster_hits.R#L2074   # Sort and prepare data ...
-R/cluster_hits.R#L2075   time_effect_1 <- time_effect_1 |> dply ...
-R/cluster_hits.R#L2076   time_effect_2 <- time_effect_2 |> dply ...
-R/cluster_hits.R#L2078   # Get relevant parameters ...
-R/cluster_hits.R#L2079   DoF <- which(names(time_effect_1) == " ...
-R/cluster_hits.R#L2080   time_points <- meta$Time ...
-R/cluster_hits.R#L2081   titles <- data.frame( ...
-R/cluster_hits.R#L2084   ) ...
-R/cluster_hits.R#L2086   plot_list <- list() ...
-R/cluster_hits.R#L2087   feature_names_list <- list() ...
-R/cluster_hits.R#L2089   for (hit in 1:nrow(time_effect_1)) { ...
-R/cluster_hits.R#L2110        ...
-R/cluster_hits.R#L2111       # Define the number of stars for a ...
-R/cluster_hits.R#L2112       avrg_diff_stars <- ifelse( ...
-R/cluster_hits.R#L2116           avrg_diff_pval < adj_pthresh_a ...
-R/cluster_hits.R#L2117           "**",  ...
-R/cluster_hits.R#L2118           ifelse( ...
-R/cluster_hits.R#L2122           ) ...
-R/cluster_hits.R#L2124       ) ...
-R/cluster_hits.R#L2125        ...
-R/cluster_hits.R#L2126       # Define the number of stars for i ...
-R/cluster_hits.R#L2127       interaction_stars <- ifelse( ...
-R/cluster_hits.R#L2131           interaction_pval < adj_pthresh ...
-R/cluster_hits.R#L2132           "**",  ...
-R/cluster_hits.R#L2133           ifelse( ...
-R/cluster_hits.R#L2137           ) ...
-R/cluster_hits.R#L2139       ) ...
-R/cluster_hits.R#L2141       # Use the conditions to split the  ...
-R/cluster_hits.R#L2142       plot_data <- data.frame( ...
-R/cluster_hits.R#L2146       ) ...
-R/cluster_hits.R#L2148       # Create the plot ...
-R/cluster_hits.R#L2149       p <- ggplot2::ggplot() + ...
-R/cluster_hits.R#L2151           data = plot_data, ...
-R/cluster_hits.R#L2152           ggplot2::aes( ...
-R/cluster_hits.R#L2157           na.rm = TRUE, ...
-R/cluster_hits.R#L2158           alpha = 0.5  # Make data dots  ...
-R/cluster_hits.R#L2161           data = data.frame( ...
-R/cluster_hits.R#L2165           ggplot2::aes( ...
-R/cluster_hits.R#L2172           data = plot_data, ...
-R/cluster_hits.R#L2173           ggplot2::aes( ...
-R/cluster_hits.R#L2178           na.rm = TRUE, ...
-R/cluster_hits.R#L2179           alpha = 0.5  # Make data dots  ...
-R/cluster_hits.R#L2182           data = data.frame( ...
-R/cluster_hits.R#L2186           ggplot2::aes( ...
-R/cluster_hits.R#L2193           c("orange", "orange", "purple" ...
-R/cluster_hits.R#L2194           c(paste("Data", condition_1),  ...
-R/cluster_hits.R#L2198           breaks = unique(meta$Time),  # ...
-R/cluster_hits.R#L2199           guide = ggplot2::guide_axis( ...
-R/cluster_hits.R#L2202           ) ...
-R/cluster_hits.R#L2205           title = paste( ...
-R/cluster_hits.R#L2212           ), ...
-R/cluster_hits.R#L2213           x = paste0("Time [", plot_info ...
-R/cluster_hits.R#L2214           y = plot_info$y_axis_label ...
-R/cluster_hits.R#L2218           legend.position = "right", ...
-R/cluster_hits.R#L2219           legend.title = element_blank() ...
-R/cluster_hits.R#L2220           plot.title = ggplot2::element_ ...
-R/cluster_hits.R#L2223       plot_list[[length(plot_list) + 1]] ...
-R/cluster_hits.R#L2224       feature_names_list[[length(feature ...
-R/cluster_hits.R#L2227   } ...
-R/cluster_hits.R#L2229   return(list( ...
-R/cluster_hits.R#L2232   )) ...
-R/cluster_hits.R#L2253    ...
-R/cluster_hits.R#L2254   all_levels_clustering <- lapply( ...
-R/cluster_hits.R#L2257       # Check if x is not logical and an ...
-R/cluster_hits.R#L2258       if (!is.logical(x) && !is.null(ann ...
-R/cluster_hits.R#L2260           x$top_table, ...
-R/cluster_hits.R#L2261           annotation ...
-R/cluster_hits.R#L2263       } ...
-R/cluster_hits.R#L2264       return(x) ...
-R/cluster_hits.R#L2266   ) ...
-R/cluster_hits.R#L2267    ...
-R/cluster_hits.R#L2268   return(all_levels_clustering) ...
-R/cluster_hits.R#L2290   formatted_gene_lists <- list() ...
-R/cluster_hits.R#L2291    ...
-R/cluster_hits.R#L2292   for (i in seq_along(all_levels_cluster ...
-R/cluster_hits.R#L2301       clustered_hits$feature, ...
-R/cluster_hits.R#L2302       clustered_hits$cluster ...
-R/cluster_hits.R#L2308       cluster_genes <- clusters[[cluster ...
-R/cluster_hits.R#L2310       gene_list <- genes[cluster_genes] ...
-R/cluster_hits.R#L2311       gene_list <- na.omit(gene_list)  # ...
-R/cluster_hits.R#L2312        ...
-R/cluster_hits.R#L2313       if (length(gene_list) > 0) { ...
-R/cluster_hits.R#L2315           paste(gene_list, collapse = "\ ...
-R/cluster_hits.R#L2316       } ...
-R/cluster_hits.R#L2320   } ...
-R/cluster_hits.R#L2321    ...
-R/cluster_hits.R#L2322   # Prepare the background genes list us ...
-R/cluster_hits.R#L2323   background_gene_list <- paste( ...
-R/cluster_hits.R#L2327    ...
-R/cluster_hits.R#L2328   return(list( ...
-R/cluster_hits.R#L2331   )) ...
-R/cluster_hits.R#L2378   html_content <- paste(header_section,  ...
-R/cluster_hits.R#L2379    ...
-R/cluster_hits.R#L2380   toc <- create_toc() ...
-R/cluster_hits.R#L2381    ...
-R/cluster_hits.R#L2382   styles <- define_html_styles() ...
-R/cluster_hits.R#L2383   section_header_style <- styles$section ...
-R/cluster_hits.R#L2384   toc_style <- styles$toc_style ...
-R/cluster_hits.R#L2386   current_header_index <- 1 ...
-R/cluster_hits.R#L2387   j <- 0 ...
-R/cluster_hits.R#L2388   level_headers_info <- Filter(Negate(is ...
-R/cluster_hits.R#L2390    ...
-R/cluster_hits.R#L2391   pb <- create_progress_bar(plots) ...
-R/cluster_hits.R#L2393   header_index <- 0 ...
-R/cluster_hits.R#L2394   level_index <- 0 ...
-R/cluster_hits.R#L2395    ...
-R/cluster_hits.R#L2396   # Generate the sections and plots ...
-R/cluster_hits.R#L2397   for (index in seq_along(plots)) { ...
-R/cluster_hits.R#L2401       header_info <- level_headers_info[ ...
-R/cluster_hits.R#L2402       nr_hits <- header_info$nr_hits ...
-R/cluster_hits.R#L2403       adj_pvalue_threshold <- header_inf ...
-R/cluster_hits.R#L2405       # means this is the section of a n ...
-R/cluster_hits.R#L2406       # The very first level is also a n ...
-R/cluster_hits.R#L2407       if (names(plots)[index] == "new_le ...
-R/cluster_hits.R#L2412           "Time Effect of Condition:", ...
-R/cluster_hits.R#L2413           header_info$header_name ...
-R/cluster_hits.R#L2417           "<h2 style='%s' id='section%d' ...
-R/cluster_hits.R#L2418           section_header_style, ...
-R/cluster_hits.R#L2419           header_index, ...
-R/cluster_hits.R#L2420           time_effect_section_header ...
-R/cluster_hits.R#L2421           ) ...
-R/cluster_hits.R#L2424           html_content, ...
-R/cluster_hits.R#L2425           section_header, ...
-R/cluster_hits.R#L2426           sep = "\n" ...
-R/cluster_hits.R#L2427           ) ...
-R/cluster_hits.R#L2430           j <- 1 ...
-R/cluster_hits.R#L2432           j <- j + 1 ...
-R/cluster_hits.R#L2436           get_spline_params_info( ...
-R/cluster_hits.R#L2442           html_content, ...
-R/cluster_hits.R#L2443           spline_params_info, ...
-R/cluster_hits.R#L2444           sep = "\n" ...
-R/cluster_hits.R#L2445           ) ...
-R/cluster_hits.R#L2448           paste0( ...
-R/cluster_hits.R#L2454           ), ...
-R/cluster_hits.R#L2455           adj_pvalue_threshold, ...
-R/cluster_hits.R#L2456           nr_hits ...
-R/cluster_hits.R#L2460           html_content, ...
-R/cluster_hits.R#L2461           hits_info, ...
-R/cluster_hits.R#L2462           sep = "\n" ...
-R/cluster_hits.R#L2463           ) ...
-R/cluster_hits.R#L2466           "<li style='%s'><a href='#sect ...
-R/cluster_hits.R#L2467           toc_style, ...
-R/cluster_hits.R#L2468           header_index, ...
-R/cluster_hits.R#L2469           time_effect_section_header ...
-R/cluster_hits.R#L2470           ) ...
-R/cluster_hits.R#L2472           toc, ...
-R/cluster_hits.R#L2473           toc_entry, ...
-R/cluster_hits.R#L2474           sep = "\n" ...
-R/cluster_hits.R#L2475           ) ...
-R/cluster_hits.R#L2481       } ...
-R/cluster_hits.R#L2487       "dendrogram", ...
-R/cluster_hits.R#L2488       "cluster_mean_splines", ...
-R/cluster_hits.R#L2489       "heatmap", ...
-R/cluster_hits.R#L2490       "individual_spline_plots" ...
-R/cluster_hits.R#L2494        ...
-R/cluster_hits.R#L2495       if (element_name == "dendrogram")  ...
-R/cluster_hits.R#L2497       } else if (element_name == "cluste ...
-R/cluster_hits.R#L2499       } else if (element_name == "heatma ...
-R/cluster_hits.R#L2503           "<div style='text-align: cente ...
-R/cluster_hits.R#L2504           "Rows = features (labels on th ...
-R/cluster_hits.R#L2505           "columns = timepoints; Blue =  ...
-R/cluster_hits.R#L2506           of the row;", ...
-R/cluster_hits.R#L2507           "</div>" ...
-R/cluster_hits.R#L2509       } else {  # element_name == "indiv ...
-R/cluster_hits.R#L2513           "<b><span style='font-size:20p ...
-R/cluster_hits.R#L2514           Asterisks definition:</span></ ...
-R/cluster_hits.R#L2515           paste("Adj. p-value <", adjust ...
-R/cluster_hits.R#L2516           paste("Adj. p-value <", adjust ...
-R/cluster_hits.R#L2517           paste("Adj. p-value <", adjust ...
-R/cluster_hits.R#L2518           sep = "<br>" ...
-R/cluster_hits.R#L2520       } ...
-R/cluster_hits.R#L2521        ...
-R/cluster_hits.R#L2522       # Add the main title as a section  ...
-R/cluster_hits.R#L2523       # before the first plot ...
-R/cluster_hits.R#L2524       header <- paste0( ...
-R/cluster_hits.R#L2531       ) ...
-R/cluster_hits.R#L2532        ...
-R/cluster_hits.R#L2533       if (exists("heatmap_description")) ...
-R/cluster_hits.R#L2534        ...
-R/cluster_hits.R#L2535       # Add the asterisks definition if  ...
-R/cluster_hits.R#L2536       if (exists("asterisks_definition") ...
-R/cluster_hits.R#L2538           header, ...
-R/cluster_hits.R#L2539           "<div style='text-align: cente ...
-R/cluster_hits.R#L2540           "font-size: 1.5em;'>", ...
-R/cluster_hits.R#L2541           asterisks_definition, ...
-R/cluster_hits.R#L2542           "</div>") ...
-R/cluster_hits.R#L2545       } ...
-R/cluster_hits.R#L2546        ...
-R/cluster_hits.R#L2547       html_content <- paste( ...
-R/cluster_hits.R#L2551       ) ...
-R/cluster_hits.R#L2552        ...
-R/cluster_hits.R#L2553       toc_entry <- paste0( ...
-R/cluster_hits.R#L2560       ) ...
-R/cluster_hits.R#L2561        ...
-R/cluster_hits.R#L2562       toc <- paste(toc, toc_entry, sep = ...
-R/cluster_hits.R#L2568       plots_element = plots[[index]], ...
-R/cluster_hits.R#L2569       element_name = names(plots)[index] ...
-R/cluster_hits.R#L2570       plots_size = plots_sizes[[index]], ...
-R/cluster_hits.R#L2571       html_content = html_content, ...
-R/cluster_hits.R#L2572       toc = toc, ...
-R/cluster_hits.R#L2573       header_index = header_index ...
-R/cluster_hits.R#L2574       ) ...
-R/cluster_hits.R#L2580   } ...
-R/cluster_hits.R#L2581    ...
-R/cluster_hits.R#L2582   # Add sections for limma_result_2_and_ ...
-R/cluster_hits.R#L2583   if (!is.null(limma_result_2_and_3_plot ...
-R/cluster_hits.R#L2591       "<h2 style='%s' id='section%d'>%s< ...
-R/cluster_hits.R#L2592       section_header_style, ...
-R/cluster_hits.R#L2593       header_index, ...
-R/cluster_hits.R#L2594       "Avrg diff conditions & interactio ...
-R/cluster_hits.R#L2598       html_content, ...
-R/cluster_hits.R#L2599       limma_main_header, ...
-R/cluster_hits.R#L2600       sep = "\n" ...
-R/cluster_hits.R#L2606       "<div style='text-align:center; ma ...
-R/cluster_hits.R#L2607       "<b><span style='font-size:24pt; ...
-R/cluster_hits.R#L2608       '>Asterisks definition (Average Di ...
-R/cluster_hits.R#L2609       paste( ...
-R/cluster_hits.R#L2615       "<br>", ...
-R/cluster_hits.R#L2616       paste( ...
-R/cluster_hits.R#L2622       "<br>", ...
-R/cluster_hits.R#L2623       paste( ...
-R/cluster_hits.R#L2629       "</div>", ...
-R/cluster_hits.R#L2630       sep = "\n" ...
-R/cluster_hits.R#L2634       "<div style='text-align:center; ma ...
-R/cluster_hits.R#L2635       "<b><span style='font-size:24pt; ...
-R/cluster_hits.R#L2636       '>Asterisks definition (Interactio ...
-R/cluster_hits.R#L2637       paste( ...
-R/cluster_hits.R#L2643       "<br>", ...
-R/cluster_hits.R#L2644       paste( ...
-R/cluster_hits.R#L2650       "<br>", ...
-R/cluster_hits.R#L2651       paste( ...
-R/cluster_hits.R#L2657       "</div>", ...
-R/cluster_hits.R#L2658       sep = "\n" ...
-R/cluster_hits.R#L2663       html_content, ...
-R/cluster_hits.R#L2664       asterisks_definition_avrg_diff, ...
-R/cluster_hits.R#L2665       asterisks_definition_interaction, ...
-R/cluster_hits.R#L2666       sep = "\n" ...
-R/cluster_hits.R#L2671       "<li style='%s'><a href='#section% ...
-R/cluster_hits.R#L2672       toc_style, ...
-R/cluster_hits.R#L2673       header_index, ...
-R/cluster_hits.R#L2674       "Avrg diff conditions & interactio ...
-R/cluster_hits.R#L2677       toc, ...
-R/cluster_hits.R#L2678       toc_entry, ...
-R/cluster_hits.R#L2679       sep = "\n" ...
-R/cluster_hits.R#L2684        ...
-R/cluster_hits.R#L2685       # Create a subheader for each comp ...
-R/cluster_hits.R#L2686       header_index <- header_index + 1 ...
-R/cluster_hits.R#L2687       subheader <- sprintf( ...
-R/cluster_hits.R#L2692       ) ...
-R/cluster_hits.R#L2693        ...
-R/cluster_hits.R#L2694       html_content <- paste( ...
-R/cluster_hits.R#L2698       ) ...
-R/cluster_hits.R#L2699        ...
-R/cluster_hits.R#L2700       # Add an entry in the TOC for this ...
-R/cluster_hits.R#L2701       toc_entry <- paste0( ...
-R/cluster_hits.R#L2708       ) ...
-R/cluster_hits.R#L2709        ...
-R/cluster_hits.R#L2710       toc <- paste( ...
-R/cluster_hits.R#L2714       ) ...
-R/cluster_hits.R#L2715        ...
-R/cluster_hits.R#L2716       # Extract plot_list and feature_na ...
-R/cluster_hits.R#L2717       comparison <- limma_result_2_and_3 ...
-R/cluster_hits.R#L2718       comparison_plots <- comparison$plo ...
-R/cluster_hits.R#L2719       comparison_feature_names <- compar ...
-R/cluster_hits.R#L2720        ...
-R/cluster_hits.R#L2721       # Iterate through each plot and it ...
-R/cluster_hits.R#L2722       for (i in seq_along(comparison_plo ...
-R/cluster_hits.R#L2725           '<div style="text-align: cente ...
-R/cluster_hits.R#L2726           font-size: 36px; margin-bottom ...
-R/cluster_hits.R#L2727           comparison_feature_names[[i]] ...
-R/cluster_hits.R#L2731           html_content, ...
-R/cluster_hits.R#L2732           feature_name_div,  # Add the f ...
-R/cluster_hits.R#L2733           sep = "\n" ...
-R/cluster_hits.R#L2738           plots_element = comparison_plo ...
-R/cluster_hits.R#L2739           plots_size = 1.5,   ...
-R/cluster_hits.R#L2740           html_content = html_content, ...
-R/cluster_hits.R#L2741           toc = toc, ...
-R/cluster_hits.R#L2742           header_index = header_index, ...
-R/cluster_hits.R#L2743           element_name = ""   ...
-R/cluster_hits.R#L2748       } ...
-R/cluster_hits.R#L2750   } ...
-R/cluster_hits.R#L2752   generate_and_write_html( ...
-R/cluster_hits.R#L2757   ) ...
-R/cluster_hits.R#L2802   subset_meta <- meta[meta[[condition]]  ...
-R/cluster_hits.R#L2804   if (mode == "isolated") { ...
-R/cluster_hits.R#L2806   } ...
-R/cluster_hits.R#L2807   else if (mode == "integrated") { ...
-R/cluster_hits.R#L2809   } ...
-R/cluster_hits.R#L2811   smooth_timepoints <- seq( ...
-R/cluster_hits.R#L2817   args <- list(x = smooth_timepoints, in ...
-R/cluster_hits.R#L2819   if (!is.null(spline_params$dof)) { ...
-R/cluster_hits.R#L2821   } else { ...
-R/cluster_hits.R#L2823   } ...
-R/cluster_hits.R#L2825   if (!is.null(spline_params$bknots)) { ...
-R/cluster_hits.R#L2827   } ...
-R/cluster_hits.R#L2830   if (spline_params$spline_type[level_in ...
-R/cluster_hits.R#L2833   } else {                               ...
-R/cluster_hits.R#L2835   } ...
-R/cluster_hits.R#L2837   DoF <- which(names(top_table) == "AveE ...
-R/cluster_hits.R#L2839   # columns_to_select <- 1:DoF ...
-R/cluster_hits.R#L2841   splineCoeffs <- top_table |> ...
-R/cluster_hits.R#L2845   curve_values <- matrix( ...
-R/cluster_hits.R#L2850   for(i in 1:nrow(splineCoeffs)) { ...
-R/cluster_hits.R#L2852       splineCoeffs[i, ], ...
-R/cluster_hits.R#L2853       ncol = ncol(splineCoeffs), ...
-R/cluster_hits.R#L2854       byrow = TRUE ...
-R/cluster_hits.R#L2855       ) ...
-R/cluster_hits.R#L2858   } ...
-R/cluster_hits.R#L2860   curve_values <- as.data.frame(curve_va ...
-R/cluster_hits.R#L2861   rownames(curve_values) <- rownames(spl ...
-R/cluster_hits.R#L2862    ...
-R/cluster_hits.R#L2863   list( ...
-R/cluster_hits.R#L2889   normalized_curves <- apply(curve_value ...
-R/cluster_hits.R#L2891   }) ...
-R/cluster_hits.R#L2893   normalized_curves <- t(normalized_curv ...
-R/cluster_hits.R#L2894   curve_values[,] <- normalized_curves ...
-R/cluster_hits.R#L2895   curve_values ...
-R/cluster_hits.R#L2921   distance_matrix <- stats::dist(curve_v ...
-R/cluster_hits.R#L2922   hc <- stats::hclust(distance_matrix, m ...
-R/cluster_hits.R#L2924   cluster_assignments <- stats::cutree(h ...
-R/cluster_hits.R#L2926   clustered_hits <- data.frame(cluster = ...
-R/cluster_hits.R#L2928   clustered_hits$feature <- top_table$fe ...
-R/cluster_hits.R#L2929   clustered_hits <- clustered_hits[, c(" ...
-R/cluster_hits.R#L2931   colnames(curve_values) <- smooth_timep ...
-R/cluster_hits.R#L2932   curve_values$cluster <- cluster_assign ...
-R/cluster_hits.R#L2934   top_table$cluster <- NA ...
-R/cluster_hits.R#L2935   top_table$cluster[1:nrow(clustered_hit ...
-R/cluster_hits.R#L2938   group_clustering <- list( ...
-R/cluster_hits.R#L2977   if (!is.null(spline_params$spline_type ...
-R/cluster_hits.R#L2978       length(spline_params$spline_type)  ...
-R/cluster_hits.R#L2980   } else { ...
-R/cluster_hits.R#L2982   } ...
-R/cluster_hits.R#L2984   if (!is.null(spline_params$degree) && ...
-R/cluster_hits.R#L2985       length(spline_params$degree) >= j) ...
-R/cluster_hits.R#L2987   } else { ...
-R/cluster_hits.R#L2989   } ...
-R/cluster_hits.R#L2991   if (!is.null(spline_params$dof) && ...
-R/cluster_hits.R#L2992       length(spline_params$dof) >= j) { ...
-R/cluster_hits.R#L2994   } else { ...
-R/cluster_hits.R#L2996   } ...
-R/cluster_hits.R#L2998   if (!is.null(spline_params$knots) && ...
-R/cluster_hits.R#L2999       length(spline_params$knots) >= j)  ...
-R/cluster_hits.R#L3001   } else { ...
-R/cluster_hits.R#L3003   } ...
-R/cluster_hits.R#L3005   if (!is.null(spline_params$bknots) && ...
-R/cluster_hits.R#L3006       length(spline_params$bknots) >= j) ...
-R/cluster_hits.R#L3008   } else { ...
-R/cluster_hits.R#L3010   } ...
-R/cluster_hits.R#L3012   if (spline_params$spline_type[j] == "b ...
-R/cluster_hits.R#L3023   } else {    # spline_type == "n" ...
-R/cluster_hits.R#L3033   } ...
-R/cluster_hits.R#L3034   return(spline_params_info) ...
-R/cluster_hits.R#L3055   sapply(names, function(x) { ...
-R/cluster_hits.R#L3057       return(paste0(substr(x, 1, max_len ...
-R/cluster_hits.R#L3059       return(x) ...
-R/cluster_hits.R#L3061   }) ...
-R/cluster_hits.R#L3100    ...
-R/cluster_hits.R#L3101   time_col <- rlang::sym("time") ...
-R/cluster_hits.R#L3102   feature_col <- rlang::sym("feature") ...
-R/cluster_hits.R#L3103    ...
-R/cluster_hits.R#L3104   # Convert data to long format ...
-R/cluster_hits.R#L3105   df_long <- as.data.frame(t(time_series ...
-R/cluster_hits.R#L3108       cols = -!!time_col, ...
-R/cluster_hits.R#L3109       names_to = "feature", ...
-R/cluster_hits.R#L3110       values_to = "intensity" ...
-R/cluster_hits.R#L3114    ...
-R/cluster_hits.R#L3115   # Compute consensus (mean of each colu ...
-R/cluster_hits.R#L3116   consensus <- colMeans(time_series_data ...
-R/cluster_hits.R#L3117    ...
-R/cluster_hits.R#L3118   consensus_df <- data.frame( ...
-R/cluster_hits.R#L3121   ) ...
-R/cluster_hits.R#L3122    ...
-R/cluster_hits.R#L3123   time_unit_label = paste0("[", plot_inf ...
-R/cluster_hits.R#L3124    ...
-R/cluster_hits.R#L3125   color_values <- c( ...
-R/cluster_hits.R#L3128   ) ...
-R/cluster_hits.R#L3129    ...
-R/cluster_hits.R#L3130   p <- ggplot2::ggplot() + ...
-R/cluster_hits.R#L3132       data = df_long,  ...
-R/cluster_hits.R#L3133       ggplot2::aes( ...
-R/cluster_hits.R#L3138       ),  ...
-R/cluster_hits.R#L3139       alpha = 0.3, linewidth = 0.5) + ...
-R/cluster_hits.R#L3141       data = consensus_df, ...
-R/cluster_hits.R#L3142       ggplot2::aes( ...
-R/cluster_hits.R#L3146       ), ...
-R/cluster_hits.R#L3147       linewidth = 1.5) ...
-R/cluster_hits.R#L3148    ...
-R/cluster_hits.R#L3149   # Conditionally add vertical dashed li ...
-R/cluster_hits.R#L3150   if (!all(is.na(plot_info$treatment_lab ...
-R/cluster_hits.R#L3154       Time = plot_info$treatment_timepoi ...
-R/cluster_hits.R#L3155       Label = treatment_labels ...
-R/cluster_hits.R#L3159       ggplot2::geom_vline( ...
-R/cluster_hits.R#L3162           xintercept = .data$Time, ...
-R/cluster_hits.R#L3163           color = .data$Label ...
-R/cluster_hits.R#L3167       ) + ...
-R/cluster_hits.R#L3168       ggplot2::geom_text( ...
-R/cluster_hits.R#L3171           x = .data$Time - max(.data$Tim ...
-R/cluster_hits.R#L3172           y = 1, ...
-R/cluster_hits.R#L3173           label = .data$Time, ...
-R/cluster_hits.R#L3174           color = .data$Label ...
-R/cluster_hits.R#L3181       ) ...
-R/cluster_hits.R#L3187   } ...
-R/cluster_hits.R#L3188    ...
-R/cluster_hits.R#L3189   p <- p + ...
-R/cluster_hits.R#L3191       name = "", ...
-R/cluster_hits.R#L3192       values = color_values, ...
-R/cluster_hits.R#L3193       guide = ggplot2::guide_legend( ...
-R/cluster_hits.R#L3195           size = c( ...
-R/cluster_hits.R#L3199               0.5, ...
-R/cluster_hits.R#L3200               length(na.omit(plot_info$t ...
-R/cluster_hits.R#L3201               ) ...
-R/cluster_hits.R#L3204       ) ...
-R/cluster_hits.R#L3209       title = title, ...
-R/cluster_hits.R#L3210       x = paste("Time", time_unit_label) ...
-R/cluster_hits.R#L3211       y = paste("min-max norm.", plot_in ...
-R/cluster_hits.R#L3214       plot.margin = grid::unit(c(1, 1, 1 ...
-R/cluster_hits.R#L3215       legend.position = "right", ...
-R/cluster_hits.R#L3216       legend.box = "vertical", ...
-R/cluster_hits.R#L3217       legend.title = ggplot2::element_te ...
-R/cluster_hits.R#L3218       legend.background = ggplot2::eleme ...
-R/cluster_hits.R#L3219       axis.title.y = ggplot2::element_te ...
-R/cluster_hits.R#L3220       plot.title = ggplot2::element_text ...
-R/cluster_hits.R#L3221       legend.key.size = grid::unit(0.6,  ...
-R/cluster_hits.R#L3222       legend.key.height = grid::unit(0.3 ...
-R/cluster_hits.R#L3224    ...
-R/cluster_hits.R#L3225   return(p) ...
-R/create_limma_report.R#L54    ...
-R/create_limma_report.R#L55   report_dir <- normalizePath( ...
-R/create_limma_report.R#L58   ) ...
-R/create_limma_report.R#L59    ...
-R/create_limma_report.R#L60   check_splineomics_elements( ...
-R/create_limma_report.R#L63   ) ...
-R/create_limma_report.R#L64    ...
-R/create_limma_report.R#L65   # Control the function arguments ...
-R/create_limma_report.R#L66   args <- lapply(as.list(match.call()[-1 ...
-R/create_limma_report.R#L67   check_null_elements(args) ...
-R/create_limma_report.R#L68   input_control <- InputControl$new(args ...
-R/create_limma_report.R#L69   input_control$auto_validate() ...
-R/create_limma_report.R#L70    ...
-R/create_limma_report.R#L71   limma_splines_result <- splineomics[[" ...
-R/create_limma_report.R#L72   meta <- splineomics[["meta"]] ...
-R/create_limma_report.R#L73   condition <- splineomics[["condition"] ...
-R/create_limma_report.R#L74   annotation <- splineomics[["annotation ...
-R/create_limma_report.R#L75   report_info <- splineomics[["report_in ...
-R/create_limma_report.R#L76    ...
-R/create_limma_report.R#L77   # Get the top_tables of the three limm ...
-R/create_limma_report.R#L78   time_effect <- limma_splines_result$ti ...
-R/create_limma_report.R#L79   avrg_diff_conditions <- limma_splines_ ...
-R/create_limma_report.R#L80   interaction_condition_time <- limma_sp ...
-R/create_limma_report.R#L81    ...
-R/create_limma_report.R#L82   plots <- list() ...
-R/create_limma_report.R#L83   plots_sizes <- list() ...
-R/create_limma_report.R#L84   section_headers_info <- list() ...
-R/create_limma_report.R#L86    ...
-R/create_limma_report.R#L87   result <- generate_time_effect_plots( ...
-R/create_limma_report.R#L91    ...
-R/create_limma_report.R#L92   plots <- c( ...
-R/create_limma_report.R#L96   plots_sizes <- c( ...
-R/create_limma_report.R#L100   section_headers_info <- c( ...
-R/create_limma_report.R#L105    ...
-R/create_limma_report.R#L106   # length == 0 when there was just one  ...
-R/create_limma_report.R#L107   if (length(avrg_diff_conditions) > 0)  ...
-R/create_limma_report.R#L110       avrg_diff_conditions, ...
-R/create_limma_report.R#L111       adj_pthresh ...
-R/create_limma_report.R#L112       ) ...
-R/create_limma_report.R#L115       plots, ...
-R/create_limma_report.R#L116       result$plots ...
-R/create_limma_report.R#L117       ) ...
-R/create_limma_report.R#L119       plots_sizes, ...
-R/create_limma_report.R#L120       result$plots_sizes ...
-R/create_limma_report.R#L121       ) ...
-R/create_limma_report.R#L123       section_headers_info, ...
-R/create_limma_report.R#L124       result$section_headers_info ...
-R/create_limma_report.R#L125       ) ...
-R/create_limma_report.R#L126   } ...
-R/create_limma_report.R#L128   # length == 0 when there was just one  ...
-R/create_limma_report.R#L129   if (length(interaction_condition_time) ...
-R/create_limma_report.R#L132       interaction_condition_time, ...
-R/create_limma_report.R#L133       adj_pthresh ...
-R/create_limma_report.R#L134       ) ...
-R/create_limma_report.R#L137       plots, ...
-R/create_limma_report.R#L138       result$plots ...
-R/create_limma_report.R#L139       ) ...
-R/create_limma_report.R#L141       plots_sizes, ...
-R/create_limma_report.R#L142       result$plots_sizes ...
-R/create_limma_report.R#L143       ) ...
-R/create_limma_report.R#L145       section_headers_info, ...
-R/create_limma_report.R#L146       result$section_headers_info ...
-R/create_limma_report.R#L147       ) ...
-R/create_limma_report.R#L148   } ...
-R/create_limma_report.R#L149    ...
-R/create_limma_report.R#L150   all_top_tables <- c( ...
-R/create_limma_report.R#L155    ...
-R/create_limma_report.R#L156   unique_values <- unique(meta[[conditio ...
-R/create_limma_report.R#L157   new_names <- sapply( ...
-R/create_limma_report.R#L162   names(all_top_tables) <- new_names ...
-R/create_limma_report.R#L163    ...
-R/create_limma_report.R#L164   if (!is.null(annotation)) { ...
-R/create_limma_report.R#L167       all_top_tables[[index]] <- merge_t ...
-R/create_limma_report.R#L170       ) ...
-R/create_limma_report.R#L172   } ...
-R/create_limma_report.R#L174   generate_report_html( ...
-R/create_limma_report.R#L184    ...
-R/create_limma_report.R#L185   print_info_message( ...
-R/create_limma_report.R#L188   ) ...
-R/create_limma_report.R#L190   return(plots) ...
-R/create_limma_report.R#L216    ...
-R/create_limma_report.R#L217   plots <- list("Time Effect") ...
-R/create_limma_report.R#L218   plots_sizes <- c(999) ...
-R/create_limma_report.R#L219    ...
-R/create_limma_report.R#L220   header_info <- list(header_name = "Tim ...
-R/create_limma_report.R#L221   section_headers_info <- list(header_in ...
-R/create_limma_report.R#L222    ...
-R/create_limma_report.R#L223   for (i in seq_along(time_effect)) { ...
-R/create_limma_report.R#L230       top_table = top_table, ...
-R/create_limma_report.R#L231       title = title ...
-R/create_limma_report.R#L232       ) ...
-R/create_limma_report.R#L235       plots, ...
-R/create_limma_report.R#L236       list(p_value_hist) ...
-R/create_limma_report.R#L237       ) ...
-R/create_limma_report.R#L239   } ...
-R/create_limma_report.R#L240    ...
-R/create_limma_report.R#L241   list( ...
-R/create_limma_report.R#L268    ...
-R/create_limma_report.R#L269   plots <- list("Average Difference Cond ...
-R/create_limma_report.R#L270   plots_sizes <- c(999) ...
-R/create_limma_report.R#L271    ...
-R/create_limma_report.R#L272   header_info <- list(header_name = "Ave ...
-R/create_limma_report.R#L273   section_headers_info <- list(header_in ...
-R/create_limma_report.R#L274    ...
-R/create_limma_report.R#L275   for (i in seq_along(avrg_diff_conditio ...
+R/cluster_hits.R#L281   } else { # no between level analysis ...
+R/cluster_hits.R#L283   } ...
+R/cluster_hits.R#L285   for (i in seq_along(within_level_top_t ...
+R/cluster_hits.R#L290       hit_indices <- get_level_hit_indic ...
+R/cluster_hits.R#L294       ) ...
+R/cluster_hits.R#L296       hit_indices <- within_level_top_ta ...
+R/cluster_hits.R#L298       ] ...
+R/cluster_hits.R#L302       within_level_top_table[within_leve ...
+R/cluster_hits.R#L303       %in% hit_indices, ] ...
+R/cluster_hits.R#L306       message(paste( ...
+R/cluster_hits.R#L309       )) ...
+R/cluster_hits.R#L310       within_level_top_tables[[i]] <- NA ...
+R/cluster_hits.R#L312       within_level_top_tables[[i]] <- to ...
+R/cluster_hits.R#L314   } ...
+R/cluster_hits.R#L316   if (all(is.na(within_level_top_tables) ...
+R/cluster_hits.R#L318   } ...
+R/cluster_hits.R#L320   within_level_top_tables ...
+R/cluster_hits.R#L336   for (i in seq_along(tables)) { ...
+R/cluster_hits.R#L338       next ...
+R/cluster_hits.R#L342       # Prompt the user for input ...
+R/cluster_hits.R#L343       while (TRUE) { ...
+R/cluster_hits.R#L345           "The table", ...
+R/cluster_hits.R#L346           names(tables)[i], ...
+R/cluster_hits.R#L347           "has more than 500 rows. Do yo ...
+R/cluster_hits.R#L353           # Proceed ...
+R/cluster_hits.R#L354           print("Proceeding...") ...
+R/cluster_hits.R#L355           break ...
+R/cluster_hits.R#L357           stop_call_false("Script stoppe ...
+R/cluster_hits.R#L359           # Invalid input, ask the user  ...
+R/cluster_hits.R#L360           message( ...
+R/cluster_hits.R#L363           ) ...
+R/cluster_hits.R#L365       } ...
+R/cluster_hits.R#L367   } ...
+R/cluster_hits.R#L397   levels <- unique(meta[[condition]]) ...
+R/cluster_hits.R#L399   all_levels_clustering <- mapply( ...
+R/cluster_hits.R#L405       meta = meta, ...
+R/cluster_hits.R#L406       condition = condition, ...
+R/cluster_hits.R#L407       spline_params = spline_params, ...
+R/cluster_hits.R#L408       mode = mode ...
+R/cluster_hits.R#L411   ) # Return a list ...
+R/cluster_hits.R#L413   return(all_levels_clustering) ...
+R/cluster_hits.R#L500   # Optionally remove the batch-effect w ...
+R/cluster_hits.R#L501   # For mode == "integrated", the batch- ...
+R/cluster_hits.R#L502   # For mode == "isolated", the batch-ef ...
+R/cluster_hits.R#L503   datas <- remove_batch_effect_cluster_h ...
+R/cluster_hits.R#L512   ) ...
+R/cluster_hits.R#L515   # To extract the stored value for the  ...
+R/cluster_hits.R#L516   clusters <- c() ...
+R/cluster_hits.R#L517   for (i in seq_along(all_levels_cluster ...
+R/cluster_hits.R#L519       all(is.na(all_levels_clustering[[i ...
+R/cluster_hits.R#L520       next ...
+R/cluster_hits.R#L525   } ...
+R/cluster_hits.R#L527   if (!dir.exists(report_dir)) { ...
+R/cluster_hits.R#L529   } ...
+R/cluster_hits.R#L531   time_unit_label <- paste0("[", plot_in ...
+R/cluster_hits.R#L533   heatmaps <- plot_heatmap( ...
+R/cluster_hits.R#L541   ) ...
+R/cluster_hits.R#L543   # log2_intensity_shape <- plot_log2_in ...
+R/cluster_hits.R#L545   level_headers_info <- list() ...
+R/cluster_hits.R#L546   plots <- list() ...
+R/cluster_hits.R#L547   plots_sizes <- list() ...
+R/cluster_hits.R#L548   q <- 0 ...
+R/cluster_hits.R#L550   for (i in seq_along(all_levels_cluster ...
+R/cluster_hits.R#L553       all(is.na(all_levels_clustering[[i ...
+R/cluster_hits.R#L554       next ...
+R/cluster_hits.R#L556       q <- q + 1 ...
+R/cluster_hits.R#L564       level <- levels[i] ...
+R/cluster_hits.R#L566       # Construct header name ...
+R/cluster_hits.R#L567       header_name <- level ...
+R/cluster_hits.R#L569       nr_hits <- nrow(level_clustering$c ...
+R/cluster_hits.R#L571       header_info <- list( ...
+R/cluster_hits.R#L575       ) ...
+R/cluster_hits.R#L577       level_headers_info[[i]] <- header_ ...
+R/cluster_hits.R#L583       hc = level_clustering$hc, ...
+R/cluster_hits.R#L584       clusters = level_clustering[["clus ...
+R/cluster_hits.R#L585       k = clusters[q] ...
+R/cluster_hits.R#L589       curve_values = curve_values, ...
+R/cluster_hits.R#L590       plot_info = plot_info, ...
+R/cluster_hits.R#L591       level = level ...
+R/cluster_hits.R#L595       curve_values = curve_values, ...
+R/cluster_hits.R#L596       plot_info = plot_info, ...
+R/cluster_hits.R#L597       level = level ...
+R/cluster_hits.R#L606       data_level <- datas[[i]][, col_ind ...
+R/cluster_hits.R#L608       data_level <- datas[[i]] ...
+R/cluster_hits.R#L616       nr_of_hits <- sum( ...
+R/cluster_hits.R#L619       ) ...
+R/cluster_hits.R#L620       main_title <- paste( ...
+R/cluster_hits.R#L626       ) ...
+R/cluster_hits.R#L628       top_table_cluster <- top_table |> ...
+R/cluster_hits.R#L631       X <- level_clustering$X ...
+R/cluster_hits.R#L633       spline_plots <- plot_splines( ...
+R/cluster_hits.R#L643       ) ...
+R/cluster_hits.R#L645       clusters_spline_plots[[length(clus ...
+R/cluster_hits.R#L648       ) ...
+R/cluster_hits.R#L652       plots, ...
+R/cluster_hits.R#L653       new_level = "level_header", # is t ...
+R/cluster_hits.R#L654       dendrogram = list(dendrogram), ...
+R/cluster_hits.R#L655       p_curves = list(p_curves), ...
+R/cluster_hits.R#L656       cluster_mean_splines = list(cluste ...
+R/cluster_hits.R#L657       heatmap = heatmaps[[i]], ...
+R/cluster_hits.R#L658       individual_spline_plots = clusters ...
+R/cluster_hits.R#L663       plots_sizes, ...
+R/cluster_hits.R#L664       999, # dummy size for "next_level" ...
+R/cluster_hits.R#L665       1.5, ...
+R/cluster_hits.R#L666       1.5, ...
+R/cluster_hits.R#L667       1, ...
+R/cluster_hits.R#L668       1.5, ...
+R/cluster_hits.R#L669       rep(1, length(clusters_spline_plot ...
+R/cluster_hits.R#L671   } ...
+R/cluster_hits.R#L673   topTables <- list() ...
+R/cluster_hits.R#L675   # Loop over each element in all_levels ...
+R/cluster_hits.R#L676   for (i in seq_along(all_levels_cluster ...
+R/cluster_hits.R#L690       element_name <- substr(element_nam ...
+R/cluster_hits.R#L694   } ...
+R/cluster_hits.R#L696   if (!is.null(genes)) { ...
+R/cluster_hits.R#L698       all_levels_clustering, ...
+R/cluster_hits.R#L699       genes ...
+R/cluster_hits.R#L701   } else { ...
+R/cluster_hits.R#L703   } ...
+R/cluster_hits.R#L705   all_levels_clustering <- merge_annotat ...
+R/cluster_hits.R#L708   ) ...
+R/cluster_hits.R#L710   print("Generating report. This takes a ...
+R/cluster_hits.R#L712   generate_report_html( ...
+R/cluster_hits.R#L726       adj_pthresh_interaction_condition_ ...
+R/cluster_hits.R#L732   ) ...
+R/cluster_hits.R#L734   return(plots) ...
+R/cluster_hits.R#L781   # Initialize the list that will store  ...
+R/cluster_hits.R#L782   comparison_plots <- list() ...
+R/cluster_hits.R#L784   # Check if all three elements are pres ...
+R/cluster_hits.R#L785   if (length(splineomics[["limma_splines ...
+R/cluster_hits.R#L789       splineomics[["limma_splines_result ...
+R/cluster_hits.R#L791       splineomics[["limma_splines_result ...
+R/cluster_hits.R#L801       condition_1 <- pair[1] ...
+R/cluster_hits.R#L802       condition_2 <- pair[2] ...
+R/cluster_hits.R#L804       # Sort the current pair of conditi ...
+R/cluster_hits.R#L805       sorted_conditions <- sort(c(condit ...
+R/cluster_hits.R#L807       # Initialize matched dataframes as ...
+R/cluster_hits.R#L808       matched_avrg_diff <- NULL ...
+R/cluster_hits.R#L809       matched_interaction_cond_time <- N ...
+R/cluster_hits.R#L811       # Search for the correct dataframe ...
+R/cluster_hits.R#L812       for (df_name in names(avrg_diff_co ...
+R/cluster_hits.R#L815           sub( ...
+R/cluster_hits.R#L819           ), ...
+R/cluster_hits.R#L820           "_vs_" ...
+R/cluster_hits.R#L827           matched_avrg_diff <- avrg_diff ...
+R/cluster_hits.R#L828           break ...
+R/cluster_hits.R#L830       } ...
+R/cluster_hits.R#L832       # Search for the correct dataframe ...
+R/cluster_hits.R#L833       for (df_name in names(interaction_ ...
+R/cluster_hits.R#L837           sub( ...
+R/cluster_hits.R#L841           ), ...
+R/cluster_hits.R#L842           "_vs_" ...
+R/cluster_hits.R#L850           matched_interaction_cond_time  ...
+R/cluster_hits.R#L851           break ...
+R/cluster_hits.R#L853       } ...
+R/cluster_hits.R#L855       # If both matched dataframes are f ...
+R/cluster_hits.R#L856       if (!is.null(matched_avrg_diff) && ...
+R/cluster_hits.R#L868           time_effect_1 = time_effect_1, ...
+R/cluster_hits.R#L869           condition_1 = condition_1, ...
+R/cluster_hits.R#L870           time_effect_2 = time_effect_2, ...
+R/cluster_hits.R#L871           condition_2 = condition_2, ...
+R/cluster_hits.R#L872           avrg_diff_conditions = matched ...
+R/cluster_hits.R#L873           interaction_condition_time = m ...
+R/cluster_hits.R#L874           data = data, ...
+R/cluster_hits.R#L875           meta = meta, ...
+R/cluster_hits.R#L876           condition = condition, ...
+R/cluster_hits.R#L877           X_1 = X_1, ...
+R/cluster_hits.R#L878           X_2 = X_2, ...
+R/cluster_hits.R#L879           plot_info = plot_info, ...
+R/cluster_hits.R#L880           adj_pthresh_avrg_diff_conditio ...
+R/cluster_hits.R#L881           adj_pthresh_interaction = adj_ ...
+R/cluster_hits.R#L888       } ...
+R/cluster_hits.R#L890   } else { ...
+R/cluster_hits.R#L892   } ...
+R/cluster_hits.R#L894   # Return the list containing all plot  ...
+R/cluster_hits.R#L895   return(comparison_plots) ...
+R/cluster_hits.R#L914   message(paste0( ...
+R/cluster_hits.R#L919   )) ...
+R/cluster_hits.R#L921   message(paste0( ...
+R/cluster_hits.R#L925   )) ...
+R/cluster_hits.R#L927   # Apply cleaning process to each gene ...
+R/cluster_hits.R#L928   cleaned_genes <- vapply(genes, functio ...
+R/cluster_hits.R#L930       # Replace all non-alphanumeric cha ...
+R/cluster_hits.R#L931       gene_name <- gsub("[^A-Za-z0-9]",  ...
+R/cluster_hits.R#L933       # Extract the first block of alpha ...
+R/cluster_hits.R#L934       # first whitespace ...
+R/cluster_hits.R#L935       clean_gene_name <- sub("^([A-Za-z0 ...
+R/cluster_hits.R#L937       # Convert to uppercase ...
+R/cluster_hits.R#L938       toupper(clean_gene_name) ...
+R/cluster_hits.R#L940       NA ...
+R/cluster_hits.R#L942   }, character(1)) ...
+R/cluster_hits.R#L944   # Return cleaned genes, keeping the sa ...
+R/cluster_hits.R#L945   return(cleaned_genes) ...
+R/cluster_hits.R#L979   # Initialize variables ...
+R/cluster_hits.R#L980   between_levels <- FALSE ...
+R/cluster_hits.R#L981   index_with_pattern <- NA ...
+R/cluster_hits.R#L983   # Define the regular expression patter ...
+R/cluster_hits.R#L984   pattern <- ".+_vs_.+" ...
+R/cluster_hits.R#L986   # Check if top_tables is a list ...
+R/cluster_hits.R#L987   if (is.list(top_tables)) { ...
+R/cluster_hits.R#L990       # Check if the element is a list ...
+R/cluster_hits.R#L991       if (is.list(top_tables[[i]])) { ...
+R/cluster_hits.R#L996           between_levels <- TRUE ...
+R/cluster_hits.R#L997           index_with_pattern <- i ...
+R/cluster_hits.R#L998           break ...
+R/cluster_hits.R#L1000       } ...
+R/cluster_hits.R#L1002   } ...
+R/cluster_hits.R#L1004   return(list( ...
+R/cluster_hits.R#L1007   )) ...
+R/cluster_hits.R#L1038   unique_hit_indices <- c() ...
+R/cluster_hits.R#L1040   # Loop through the elements of the lis ...
+R/cluster_hits.R#L1041   for (i in seq_along(between_level_top_ ...
+R/cluster_hits.R#L1047       # Get the current data frame ...
+R/cluster_hits.R#L1048       within_level_top_table <- between_ ...
+R/cluster_hits.R#L1050       # Find the row indices that meet t ...
+R/cluster_hits.R#L1051       hit_indices <- ...
+R/cluster_hits.R#L1054       # Extract the feature indices from ...
+R/cluster_hits.R#L1055       feature_indices <- within_level_to ...
+R/cluster_hits.R#L1056       feature_indices <- within_level_to ...
+R/cluster_hits.R#L1059       ] ...
+R/cluster_hits.R#L1060       unique_hit_indices <- c( ...
+R/cluster_hits.R#L1063       ) ...
+R/cluster_hits.R#L1065   } ...
+R/cluster_hits.R#L1067   # Get unique feature indices ...
+R/cluster_hits.R#L1068   unique_hit_indices <- unique(unique_hi ...
+R/cluster_hits.R#L1102   # means that it had < 2 hits. ...
+R/cluster_hits.R#L1103   if (is.null(top_table) || all(is.na(to ...
+R/cluster_hits.R#L1105   } ...
+R/cluster_hits.R#L1107   curve_results <- get_curve_values( ...
+R/cluster_hits.R#L1114   ) ...
+R/cluster_hits.R#L1116   normalized_curves <- normalize_curves( ...
+R/cluster_hits.R#L1118   clustering_result <- ...
+R/cluster_hits.R#L1120       curve_values = normalized_curves, ...
+R/cluster_hits.R#L1121       k = cluster_size, ...
+R/cluster_hits.R#L1122       smooth_timepoints = curve_results$ ...
+R/cluster_hits.R#L1123       top_table = top_table ...
+R/cluster_hits.R#L1126   clustering_result$X <- curve_results$X ...
+R/cluster_hits.R#L1127   return(clustering_result) ...
+R/cluster_hits.R#L1175   datas <- list() ...
+R/cluster_hits.R#L1176   n <- length(unique(meta[[condition]])) ...
+R/cluster_hits.R#L1177   level_indices <- as.integer(1:n) ...
+R/cluster_hits.R#L1178   unique_levels <- unique(meta[[conditio ...
+R/cluster_hits.R#L1180   if (!is.null(meta_batch_column)) { ...
+R/cluster_hits.R#L1182       # Take only the data from the leve ...
+R/cluster_hits.R#L1183       if (mode == "isolated") { ...
+R/cluster_hits.R#L1188       } else { ...
+R/cluster_hits.R#L1192       } ...
+R/cluster_hits.R#L1194       design_matrix <- design2design_mat ...
+R/cluster_hits.R#L1199       ) ...
+R/cluster_hits.R#L1201       # The batch columns are not allowe ...
+R/cluster_hits.R#L1202       # removeBatchEffect. Instead the b ...
+R/cluster_hits.R#L1203       batch_columns <- grep( ...
+R/cluster_hits.R#L1205           "^", ...
+R/cluster_hits.R#L1206           meta_batch_column ...
+R/cluster_hits.R#L1209       ) ...
+R/cluster_hits.R#L1211       design_matrix <- design_matrix[, - ...
+R/cluster_hits.R#L1213       args <- list( ...
+R/cluster_hits.R#L1217       ) ...
+R/cluster_hits.R#L1219       if (mode == "isolated") { ...
+R/cluster_hits.R#L1224           length(unique(meta_copy[[meta_ ...
+R/cluster_hits.R#L1225           args$batch2 <- meta_copy[[meta ...
+R/cluster_hits.R#L1227       } else { # mode == integrated ...
+R/cluster_hits.R#L1230           length(unique(meta_copy[[meta_ ...
+R/cluster_hits.R#L1231           args$batch2 <- meta_copy[[meta ...
+R/cluster_hits.R#L1233       } ...
+R/cluster_hits.R#L1235       data_copy <- do.call( ...
+R/cluster_hits.R#L1238       ) ...
+R/cluster_hits.R#L1240       # For mode == "integrated", all el ...
+R/cluster_hits.R#L1241       datas <- c( ...
+R/cluster_hits.R#L1244       ) ...
+R/cluster_hits.R#L1246   } else { # no meta batch column specif ...
+R/cluster_hits.R#L1249       # Take only the data from the leve ...
+R/cluster_hits.R#L1250       if (mode == "isolated") { ...
+R/cluster_hits.R#L1254       } else { ...
+R/cluster_hits.R#L1256       } ...
+R/cluster_hits.R#L1258       datas <- c(datas, list(data_copy)) ...
+R/cluster_hits.R#L1260   } ...
+R/cluster_hits.R#L1261   return(datas) ...
+R/cluster_hits.R#L1304   BASE_TEXT_SIZE_PT <- 5 ...
+R/cluster_hits.R#L1306   ht_opt( ...
+R/cluster_hits.R#L1320   ) ...
+R/cluster_hits.R#L1322   ht_opt$message <- FALSE ...
+R/cluster_hits.R#L1324   levels <- unique(meta[[condition]]) ...
+R/cluster_hits.R#L1325   heatmaps <- list() ...
+R/cluster_hits.R#L1327   # Generate a heatmap for every level ...
+R/cluster_hits.R#L1328   for (i in seq_along(all_levels_cluster ...
+R/cluster_hits.R#L1331       all(is.na(all_levels_clustering[[i ...
+R/cluster_hits.R#L1332       heatmaps[[length(heatmaps) + 1]] < ...
+R/cluster_hits.R#L1333       next ...
+R/cluster_hits.R#L1345       data_level <- datas[[i]][, level_i ...
+R/cluster_hits.R#L1347       data_level <- datas[[i]] ...
+R/cluster_hits.R#L1358       cluster_heatmap_columns <- FALSE ...
+R/cluster_hits.R#L1362       ComplexHeatmap::Heatmap( ...
+R/cluster_hits.R#L1365           "left-labels = cluster,", ...
+R/cluster_hits.R#L1366           "top-labels = time" ...
+R/cluster_hits.R#L1374           title = "z-score of log2 value ...
+R/cluster_hits.R#L1375           title_position = "lefttop-rot" ...
+R/cluster_hits.R#L1388       ) ...
+R/cluster_hits.R#L1391   } ...
+R/cluster_hits.R#L1392   heatmaps ...
+R/cluster_hits.R#L1421   # Convert hc to dendrogram ...
+R/cluster_hits.R#L1422   dend <- stats::as.dendrogram(hc) ...
+R/cluster_hits.R#L1424   # Get clusters based on cutree result ...
+R/cluster_hits.R#L1425   clusters <- stats::cutree(hc, k) ...
+R/cluster_hits.R#L1427   # Get the order of clusters as they ap ...
+R/cluster_hits.R#L1428   cluster_order <- clusters[hc[["order"] ...
+R/cluster_hits.R#L1430   # Find the unique clusters in the orde ...
+R/cluster_hits.R#L1431   unique_cluster_order <- unique(cluster ...
+R/cluster_hits.R#L1433   # Generate distinct colors for the k c ...
+R/cluster_hits.R#L1434   colors <- scales::hue_pal()(k) ...
+R/cluster_hits.R#L1436   # Reorder the colors according to the  ...
+R/cluster_hits.R#L1437   ordered_colors <- colors[match( ...
+R/cluster_hits.R#L1440   )] ...
+R/cluster_hits.R#L1442   # Apply the reordered colors to the br ...
+R/cluster_hits.R#L1443   dend_colored <- dendextend::color_bran ...
+R/cluster_hits.R#L1447   ) ...
+R/cluster_hits.R#L1449   # Remove labels for the plot ...
+R/cluster_hits.R#L1450   dend_colored <- dendextend::set( ...
+R/cluster_hits.R#L1454       "", ...
+R/cluster_hits.R#L1455       length(dendextend::get_leaves_attr ...
+R/cluster_hits.R#L1457   ) ...
+R/cluster_hits.R#L1459   # Convert to ggplot-compatible dendrog ...
+R/cluster_hits.R#L1460   ggdend <- dendextend::as.ggdend(dend_c ...
+R/cluster_hits.R#L1462   # Create the plot ...
+R/cluster_hits.R#L1463   p_dend <- ggplot2::ggplot(ggdend) + ...
+R/cluster_hits.R#L1465       title = paste( ...
+R/cluster_hits.R#L1468       ), ...
+R/cluster_hits.R#L1469       x = "", ...
+R/cluster_hits.R#L1470       y = "" ...
+R/cluster_hits.R#L1474       axis.text.x = ggplot2::element_bla ...
+R/cluster_hits.R#L1475       axis.ticks.x = ggplot2::element_bl ...
+R/cluster_hits.R#L1476       axis.text.y = ggplot2::element_bla ...
+R/cluster_hits.R#L1477       axis.ticks.y = ggplot2::element_bl ...
+R/cluster_hits.R#L1478       plot.title = ggplot2::element_text ...
+R/cluster_hits.R#L1481   return(p_dend) ...
+R/cluster_hits.R#L1515   time <- as.numeric(colnames(curve_valu ...
+R/cluster_hits.R#L1517   clusters <- unique(curve_values$cluste ...
+R/cluster_hits.R#L1518   average_curves <- data.frame() ...
+R/cluster_hits.R#L1520   # Loop through each unique cluster val ...
+R/cluster_hits.R#L1521   for (current_cluster in clusters) { ...
+R/cluster_hits.R#L1530       Time = time, Value = average_curve ...
+R/cluster_hits.R#L1531       cluster = as.factor(current_cluste ...
+R/cluster_hits.R#L1536       average_curves, ...
+R/cluster_hits.R#L1537       curve_df ...
+R/cluster_hits.R#L1539   } ...
+R/cluster_hits.R#L1541   average_curves$cluster <- factor( ...
+R/cluster_hits.R#L1544       unique(as.numeric(average_curves$c ...
+R/cluster_hits.R#L1546   ) ...
+R/cluster_hits.R#L1548   time_unit_label <- paste0("[", plot_in ...
+R/cluster_hits.R#L1550   cluster_colors <- scales::hue_pal()(le ...
+R/cluster_hits.R#L1552   if (length(cluster_colors) > length(un ...
+R/cluster_hits.R#L1554   } ...
+R/cluster_hits.R#L1555   names(cluster_colors) <- paste( ...
+R/cluster_hits.R#L1558   ) ...
+R/cluster_hits.R#L1560   color_values <- c(cluster_colors) ...
+R/cluster_hits.R#L1561   distinct_colors <- c() ...
+R/cluster_hits.R#L1563   # Create the base plot ...
+R/cluster_hits.R#L1564   p_curves <- ggplot2::ggplot( ...
+R/cluster_hits.R#L1567       x = !!rlang::sym("Time"), ...
+R/cluster_hits.R#L1568       y = !!rlang::sym("Value"), ...
+R/cluster_hits.R#L1569       color = paste("Cluster", factor(!! ...
+R/cluster_hits.R#L1571   ) + ...
+R/cluster_hits.R#L1579   # Call the wrapper function to conditi ...
+R/cluster_hits.R#L1580   # treatment colors ...
+R/cluster_hits.R#L1581   result <- maybe_add_dashed_lines( ...
+R/cluster_hits.R#L1585   ) ...
+R/cluster_hits.R#L1587   p_curves <- result$p ...
+R/cluster_hits.R#L1588   treatment_colors <- result$treatment_c ...
+R/cluster_hits.R#L1590   # Combine cluster colors and treatment ...
+R/cluster_hits.R#L1591   all_colors <- c(cluster_colors, treatm ...
+R/cluster_hits.R#L1593   # Finalize color scale and theme adjus ...
+R/cluster_hits.R#L1594   p_curves <- p_curves + ...
+R/cluster_hits.R#L1596       values = all_colors, # Combine bot ...
+R/cluster_hits.R#L1597       name = NULL # No legend title ...
+R/cluster_hits.R#L1600       legend.key.size = grid::unit(0.6,  ...
+R/cluster_hits.R#L1601       legend.key.height = grid::unit(0.3 ...
+R/cluster_hits.R#L1602       legend.title = ggplot2::element_te ...
+R/cluster_hits.R#L1605   return(p_curves) ...
+R/cluster_hits.R#L1635   clusters <- sort(unique(curve_values$c ...
+R/cluster_hits.R#L1637   plots <- list() ...
+R/cluster_hits.R#L1638   for (current_cluster in clusters) { ...
+R/cluster_hits.R#L1640       curve_values, ...
+R/cluster_hits.R#L1641       curve_values$cluster == current_cl ...
+R/cluster_hits.R#L1646       "Cluster", ...
+R/cluster_hits.R#L1647       current_cluster, ...
+R/cluster_hits.R#L1648       "| Hits:", ...
+R/cluster_hits.R#L1649       nr_of_hits, ...
+R/cluster_hits.R#L1650       sep = " " ...
+R/cluster_hits.R#L1654       plot_single_and_mean_splines( ...
+R/cluster_hits.R#L1659       ) ...
+R/cluster_hits.R#L1660   } ...
+R/cluster_hits.R#L1662   return(plots) ...
+R/cluster_hits.R#L1718   # Sort so that HTML reports are easier ...
+R/cluster_hits.R#L1719   top_table <- top_table |> dplyr::arran ...
+R/cluster_hits.R#L1721   DoF <- which(names(top_table) == "AveE ...
+R/cluster_hits.R#L1722   time_points <- meta$Time ...
+R/cluster_hits.R#L1724   titles <- data.frame( ...
+R/cluster_hits.R#L1727   ) ...
+R/cluster_hits.R#L1729   plot_list <- list() ...
+R/cluster_hits.R#L1731   for (hit in 1:nrow(top_table)) { ...
+R/cluster_hits.R#L1739       meta$Time[1], ...
+R/cluster_hits.R#L1740       meta$Time[length(meta$Time)], ...
+R/cluster_hits.R#L1741       length.out = 1000 # To ensure smoo ...
+R/cluster_hits.R#L1747       Time = time_points, ...
+R/cluster_hits.R#L1748       Y = y_values ...
+R/cluster_hits.R#L1753       replicates <- meta[[replicate_colu ...
+R/cluster_hits.R#L1754       plot_data$Replicate <- replicates  ...
+R/cluster_hits.R#L1756       # Create color palette for replica ...
+R/cluster_hits.R#L1757       replicate_colors <- scales::hue_pa ...
+R/cluster_hits.R#L1758       names(replicate_colors) <- unique( ...
+R/cluster_hits.R#L1760       color_values <- c( ...
+R/cluster_hits.R#L1763       ) ...
+R/cluster_hits.R#L1765       color_values <- c( ...
+R/cluster_hits.R#L1768       ) ...
+R/cluster_hits.R#L1774       adj_p_value < adj_pthreshold / 50, ...
+R/cluster_hits.R#L1775       "***", ...
+R/cluster_hits.R#L1776       ifelse( ...
+R/cluster_hits.R#L1780           adj_p_value < adj_pthreshold, ...
+R/cluster_hits.R#L1781           "*", ...
+R/cluster_hits.R#L1782           "" ...
+R/cluster_hits.R#L1784       ) ...
+R/cluster_hits.R#L1788       time_values = time_points, ...
+R/cluster_hits.R#L1789       response_values = y_values ...
+R/cluster_hits.R#L1794       plot_spline <- data.frame( ...
+R/cluster_hits.R#L1797       ) ...
+R/cluster_hits.R#L1799       x_max <- as.numeric(max(time_point ...
+R/cluster_hits.R#L1800       x_extension <- x_max * 0.05 ...
+R/cluster_hits.R#L1802       # Define color column outside aes( ...
+R/cluster_hits.R#L1803       color_column_values <- if (!is.nul ...
+R/cluster_hits.R#L1806       } else { ...
+R/cluster_hits.R#L1808       } ...
+R/cluster_hits.R#L1810       plot_data$color_column <- factor(c ...
+R/cluster_hits.R#L1812       p <- ggplot2::ggplot() + ...
+R/cluster_hits.R#L1814           data = plot_data, ...
+R/cluster_hits.R#L1815           ggplot2::aes( ...
+R/cluster_hits.R#L1819           ), ...
+R/cluster_hits.R#L1820           alpha = 0.5 # 50% transparent  ...
+R/cluster_hits.R#L1823           data = plot_spline, ...
+R/cluster_hits.R#L1824           ggplot2::aes( ...
+R/cluster_hits.R#L1828           ) ...
+R/cluster_hits.R#L1832           limits = c(min(time_points), x ...
+R/cluster_hits.R#L1833           breaks = filter_timepoints(tim ...
+R/cluster_hits.R#L1834           labels = function(x) { ...
+R/cluster_hits.R#L1836           } ...
+R/cluster_hits.R#L1839           x = paste0("Time ", time_unit_ ...
+R/cluster_hits.R#L1840           y = plot_info$y_axis_label ...
+R/cluster_hits.R#L1843           color = ggplot2::guide_legend( ...
+R/cluster_hits.R#L1846           legend.position = "right", ...
+R/cluster_hits.R#L1847           legend.justification = "center ...
+R/cluster_hits.R#L1848           legend.box = "vertical", ...
+R/cluster_hits.R#L1849           legend.background = ggplot2::e ...
+R/cluster_hits.R#L1850           legend.title = ggplot2::elemen ...
+R/cluster_hits.R#L1851           legend.text = ggplot2::element ...
+R/cluster_hits.R#L1854           ), ...
+R/cluster_hits.R#L1855           axis.text.x = ggplot2::element ...
+R/cluster_hits.R#L1859           ), ...
+R/cluster_hits.R#L1860           axis.title.y = ggplot2::elemen ...
+R/cluster_hits.R#L1863           ), ...
+R/cluster_hits.R#L1864           axis.text.y = ggplot2::element ...
+R/cluster_hits.R#L1866           ) ...
+R/cluster_hits.R#L1869       y_pos <- max( ...
+R/cluster_hits.R#L1872       ) ...
+R/cluster_hits.R#L1874       result <- maybe_add_dashed_lines( ...
+R/cluster_hits.R#L1879       ) ...
+R/cluster_hits.R#L1881       p <- result$p # Updated plot with  ...
+R/cluster_hits.R#L1882       treatment_colors <- result$treatme ...
+R/cluster_hits.R#L1884       color_values <- c(color_values, tr ...
+R/cluster_hits.R#L1886       # Add title and annotations ...
+R/cluster_hits.R#L1887       matched_row <- dplyr::filter( ...
+R/cluster_hits.R#L1890       ) ...
+R/cluster_hits.R#L1892       title <- as.character(matched_row$ ...
+R/cluster_hits.R#L1894       if (nchar(title) > 100) { ...
+R/cluster_hits.R#L1898           "The feature ID", title_before ...
+R/cluster_hits.R#L1899           "Truncating it to 100 chars:", ...
+R/cluster_hits.R#L1901       } ...
+R/cluster_hits.R#L1903       if (is.na(title)) { ...
+R/cluster_hits.R#L1905       } ...
+R/cluster_hits.R#L1907       p <- p + ...
+R/cluster_hits.R#L1909           values = color_values, ...
+R/cluster_hits.R#L1913           title = paste( ...
+R/cluster_hits.R#L1917           ), ...
+R/cluster_hits.R#L1918           x = paste("Time", time_unit_la ...
+R/cluster_hits.R#L1919           y = paste(plot_info$y_axis_lab ...
+R/cluster_hits.R#L1922           plot.title = ggplot2::element_ ...
+R/cluster_hits.R#L1923           axis.title.x = ggplot2::elemen ...
+R/cluster_hits.R#L1924           axis.title.y = ggplot2::elemen ...
+R/cluster_hits.R#L1925           legend.key.size = grid::unit(0 ...
+R/cluster_hits.R#L1926           legend.key.height = grid::unit ...
+R/cluster_hits.R#L1927           legend.title = ggplot2::elemen ...
+R/cluster_hits.R#L1928           legend.text = ggplot2::element ...
+R/cluster_hits.R#L1929           axis.text.x = ggplot2::element ...
+R/cluster_hits.R#L1932       p ...
+R/cluster_hits.R#L1936   } ...
+R/cluster_hits.R#L1938   return(plot_list) ...
+R/cluster_hits.R#L2002   # Sort and prepare data (sorting based ...
+R/cluster_hits.R#L2003   time_effect_1 <- time_effect_1 |> dply ...
+R/cluster_hits.R#L2004   time_effect_2 <- time_effect_2 |> dply ...
+R/cluster_hits.R#L2005   avrg_diff_conditions <- ...
+R/cluster_hits.R#L2007   interaction_condition_time <- ...
+R/cluster_hits.R#L2010   # Get relevant parameters ...
+R/cluster_hits.R#L2011   DoF <- which(names(time_effect_1) == " ...
+R/cluster_hits.R#L2012   time_points <- meta$Time ...
+R/cluster_hits.R#L2013   titles <- data.frame( ...
+R/cluster_hits.R#L2016   ) ...
+R/cluster_hits.R#L2018   plot_list <- list() ...
+R/cluster_hits.R#L2019   feature_names_list <- list() ...
+R/cluster_hits.R#L2021   for (hit in 1:nrow(time_effect_1)) { ...
+R/cluster_hits.R#L2041       interaction_pval < adj_pthresh_int ...
+R/cluster_hits.R#L2042       # Define the number of stars for a ...
+R/cluster_hits.R#L2043       avrg_diff_stars <- ifelse( ...
+R/cluster_hits.R#L2047           avrg_diff_pval < adj_pthresh_a ...
+R/cluster_hits.R#L2048           "**", ...
+R/cluster_hits.R#L2049           ifelse( ...
+R/cluster_hits.R#L2053           ) ...
+R/cluster_hits.R#L2055       ) ...
+R/cluster_hits.R#L2057       # Define the number of stars for i ...
+R/cluster_hits.R#L2058       interaction_stars <- ifelse( ...
+R/cluster_hits.R#L2062           interaction_pval < adj_pthresh ...
+R/cluster_hits.R#L2063           "**", ...
+R/cluster_hits.R#L2064           ifelse( ...
+R/cluster_hits.R#L2068           ) ...
+R/cluster_hits.R#L2070       ) ...
+R/cluster_hits.R#L2072       # Use the conditions to split the  ...
+R/cluster_hits.R#L2073       plot_data <- data.frame( ...
+R/cluster_hits.R#L2077       ) ...
+R/cluster_hits.R#L2079       # Calculate average CV for Y1 and  ...
+R/cluster_hits.R#L2080       cv_1 <- calc_cv( ...
+R/cluster_hits.R#L2083       ) ...
+R/cluster_hits.R#L2085       cv_2 <- calc_cv( ...
+R/cluster_hits.R#L2088       ) ...
+R/cluster_hits.R#L2090       # Create the plot ...
+R/cluster_hits.R#L2091       p <- ggplot2::ggplot() + ...
+R/cluster_hits.R#L2093           data = plot_data, ...
+R/cluster_hits.R#L2094           ggplot2::aes( ...
+R/cluster_hits.R#L2098           ), ...
+R/cluster_hits.R#L2099           na.rm = TRUE, ...
+R/cluster_hits.R#L2100           alpha = 0.5 # Make data dots t ...
+R/cluster_hits.R#L2103           data = data.frame( ...
+R/cluster_hits.R#L2106           ), ...
+R/cluster_hits.R#L2107           ggplot2::aes( ...
+R/cluster_hits.R#L2111           ) ...
+R/cluster_hits.R#L2114           data = plot_data, ...
+R/cluster_hits.R#L2115           ggplot2::aes( ...
+R/cluster_hits.R#L2119           ), ...
+R/cluster_hits.R#L2120           na.rm = TRUE, ...
+R/cluster_hits.R#L2121           alpha = 0.5 # Make data dots t ...
+R/cluster_hits.R#L2124           data = data.frame( ...
+R/cluster_hits.R#L2127           ), ...
+R/cluster_hits.R#L2128           ggplot2::aes( ...
+R/cluster_hits.R#L2132           ) ...
+R/cluster_hits.R#L2135           c( ...
+R/cluster_hits.R#L2140           ), ...
+R/cluster_hits.R#L2141           c( ...
+R/cluster_hits.R#L2143               "Data", ...
+R/cluster_hits.R#L2144               condition_1 ...
+R/cluster_hits.R#L2147               "Spline", ...
+R/cluster_hits.R#L2148               condition_1 ...
+R/cluster_hits.R#L2151               "Data", ...
+R/cluster_hits.R#L2152               condition_2 ...
+R/cluster_hits.R#L2155               "Spline", ...
+R/cluster_hits.R#L2156               condition_2 ...
+R/cluster_hits.R#L2158           ) ...
+R/cluster_hits.R#L2161           breaks = filter_timepoints(tim ...
+R/cluster_hits.R#L2164           title = paste( ...
+R/cluster_hits.R#L2173           ), ...
+R/cluster_hits.R#L2174           x = paste0("Time [", plot_info ...
+R/cluster_hits.R#L2175           y = plot_info$y_axis_label ...
+R/cluster_hits.R#L2179           legend.position = "right", ...
+R/cluster_hits.R#L2180           legend.title = element_blank() ...
+R/cluster_hits.R#L2181           plot.title = ggplot2::element_ ...
+R/cluster_hits.R#L2182           legend.text = ggplot2::element ...
+R/cluster_hits.R#L2183           axis.title.x = ggplot2::elemen ...
+R/cluster_hits.R#L2184           axis.title.y = ggplot2::elemen ...
+R/cluster_hits.R#L2185           axis.text.x = ggplot2::element ...
+R/cluster_hits.R#L2188       plot_list[[length(plot_list) + 1]] ...
+R/cluster_hits.R#L2189       feature_names_list[[length(feature ...
+R/cluster_hits.R#L2192   } ...
+R/cluster_hits.R#L2194   return(list( ...
+R/cluster_hits.R#L2197   )) ...
+R/cluster_hits.R#L2217   all_levels_clustering <- lapply( ...
+R/cluster_hits.R#L2220       # Check if x is not logical and an ...
+R/cluster_hits.R#L2221       if (!is.logical(x) && !is.null(ann ...
+R/cluster_hits.R#L2223           x$top_table, ...
+R/cluster_hits.R#L2224           annotation ...
+R/cluster_hits.R#L2226       } ...
+R/cluster_hits.R#L2227       return(x) ...
+R/cluster_hits.R#L2229   ) ...
+R/cluster_hits.R#L2231   return(all_levels_clustering) ...
+R/cluster_hits.R#L2251   formatted_gene_lists <- list() ...
+R/cluster_hits.R#L2253   for (i in seq_along(all_levels_cluster ...
+R/cluster_hits.R#L2261       clustered_hits$feature, ...
+R/cluster_hits.R#L2262       clustered_hits$cluster ...
+R/cluster_hits.R#L2268       cluster_genes <- clusters[[cluster ...
+R/cluster_hits.R#L2270       gene_list <- genes[cluster_genes] ...
+R/cluster_hits.R#L2271       gene_list <- na.omit(gene_list) #  ...
+R/cluster_hits.R#L2273       if (length(gene_list) > 0) { ...
+R/cluster_hits.R#L2275           paste(gene_list, collapse = "\ ...
+R/cluster_hits.R#L2276       } ...
+R/cluster_hits.R#L2280   } ...
+R/cluster_hits.R#L2282   # Prepare the background genes list us ...
+R/cluster_hits.R#L2283   background_gene_list <- paste( ...
+R/cluster_hits.R#L2286   ) ...
+R/cluster_hits.R#L2288   return(list( ...
+R/cluster_hits.R#L2291   )) ...
+R/cluster_hits.R#L2340   html_content <- paste(header_section,  ...
+R/cluster_hits.R#L2342   toc <- create_toc() ...
+R/cluster_hits.R#L2344   styles <- define_html_styles() ...
+R/cluster_hits.R#L2345   section_header_style <- styles$section ...
+R/cluster_hits.R#L2346   toc_style <- styles$toc_style ...
+R/cluster_hits.R#L2348   current_header_index <- 1 ...
+R/cluster_hits.R#L2349   j <- 0 ...
+R/cluster_hits.R#L2350   level_headers_info <- Filter(Negate(is ...
+R/cluster_hits.R#L2353   pb <- create_progress_bar(plots) ...
+R/cluster_hits.R#L2355   header_index <- 0 ...
+R/cluster_hits.R#L2356   level_index <- 0 ...
+R/cluster_hits.R#L2358   # Generate the sections and plots ...
+R/cluster_hits.R#L2359   for (index in seq_along(plots)) { ...
+R/cluster_hits.R#L2363       header_info <- level_headers_info[ ...
+R/cluster_hits.R#L2364       nr_hits <- header_info$nr_hits ...
+R/cluster_hits.R#L2365       adj_pvalue_threshold <- header_inf ...
+R/cluster_hits.R#L2367       # means this is the section of a n ...
+R/cluster_hits.R#L2368       # The very first level is also a n ...
+R/cluster_hits.R#L2369       if (names(plots)[index] == "new_le ...
+R/cluster_hits.R#L2373           "Time Effect of Condition:", ...
+R/cluster_hits.R#L2374           header_info$header_name ...
+R/cluster_hits.R#L2378           "<h2 style='%s' id='section%d' ...
+R/cluster_hits.R#L2379           section_header_style, ...
+R/cluster_hits.R#L2380           header_index, ...
+R/cluster_hits.R#L2381           time_effect_section_header ...
+R/cluster_hits.R#L2385           html_content, ...
+R/cluster_hits.R#L2386           section_header, ...
+R/cluster_hits.R#L2387           sep = "\n" ...
+R/cluster_hits.R#L2391           j <- 1 ...
+R/cluster_hits.R#L2393           j <- j + 1 ...
+R/cluster_hits.R#L2397           get_spline_params_info( ...
+R/cluster_hits.R#L2400           ) ...
+R/cluster_hits.R#L2403           html_content, ...
+R/cluster_hits.R#L2404           spline_params_info, ...
+R/cluster_hits.R#L2405           sep = "\n" ...
+R/cluster_hits.R#L2409           paste0( ...
+R/cluster_hits.R#L2415           ), ...
+R/cluster_hits.R#L2416           adj_pvalue_threshold, ...
+R/cluster_hits.R#L2417           nr_hits ...
+R/cluster_hits.R#L2421           html_content, ...
+R/cluster_hits.R#L2422           hits_info, ...
+R/cluster_hits.R#L2423           sep = "\n" ...
+R/cluster_hits.R#L2427           "<li style='%s'><a href='#sect ...
+R/cluster_hits.R#L2428           toc_style, ...
+R/cluster_hits.R#L2429           header_index, ...
+R/cluster_hits.R#L2430           time_effect_section_header ...
+R/cluster_hits.R#L2433           toc, ...
+R/cluster_hits.R#L2434           toc_entry, ...
+R/cluster_hits.R#L2435           sep = "\n" ...
+R/cluster_hits.R#L2442       } ...
+R/cluster_hits.R#L2448       "dendrogram", ...
+R/cluster_hits.R#L2449       "cluster_mean_splines", ...
+R/cluster_hits.R#L2450       "heatmap", ...
+R/cluster_hits.R#L2451       "individual_spline_plots" ...
+R/cluster_hits.R#L2455       if (element_name == "dendrogram")  ...
+R/cluster_hits.R#L2457       } else if (element_name == "cluste ...
+R/cluster_hits.R#L2459       } else if (element_name == "heatma ...
+R/cluster_hits.R#L2463           "<div style='text-align: cente ...
+R/cluster_hits.R#L2464           "Rows = features (labels on th ...
+R/cluster_hits.R#L2465           "columns = timepoints; Blue =  ...
+R/cluster_hits.R#L2466           of the row;", ...
+R/cluster_hits.R#L2467           "</div>" ...
+R/cluster_hits.R#L2469       } else { # element_name == "indivi ...
+R/cluster_hits.R#L2473           "<b><span style='font-size:20p ...
+R/cluster_hits.R#L2474           Asterisks definition:</span></ ...
+R/cluster_hits.R#L2475           paste("Adj. p-value <", adjust ...
+R/cluster_hits.R#L2476           paste("Adj. p-value <", adjust ...
+R/cluster_hits.R#L2477           paste("Adj. p-value <", adjust ...
+R/cluster_hits.R#L2478           sep = "<br>" ...
+R/cluster_hits.R#L2480       } ...
+R/cluster_hits.R#L2482       # Add the main title as a section  ...
+R/cluster_hits.R#L2483       # before the first plot ...
+R/cluster_hits.R#L2484       header <- paste0( ...
+R/cluster_hits.R#L2491       ) ...
+R/cluster_hits.R#L2493       if (exists("heatmap_description")) ...
+R/cluster_hits.R#L2495       # Add the asterisks definition if  ...
+R/cluster_hits.R#L2496       if (exists("asterisks_definition") ...
+R/cluster_hits.R#L2498           header, ...
+R/cluster_hits.R#L2499           "<div style='text-align: cente ...
+R/cluster_hits.R#L2500           "font-size: 1.5em;'>", ...
+R/cluster_hits.R#L2501           asterisks_definition, ...
+R/cluster_hits.R#L2502           "</div>" ...
+R/cluster_hits.R#L2506       } ...
+R/cluster_hits.R#L2508       html_content <- paste( ...
+R/cluster_hits.R#L2512       ) ...
+R/cluster_hits.R#L2514       toc_entry <- paste0( ...
+R/cluster_hits.R#L2521       ) ...
+R/cluster_hits.R#L2523       toc <- paste(toc, toc_entry, sep = ...
+R/cluster_hits.R#L2529       plots_element = plots[[index]], ...
+R/cluster_hits.R#L2530       element_name = names(plots)[index] ...
+R/cluster_hits.R#L2531       plots_size = plots_sizes[[index]], ...
+R/cluster_hits.R#L2532       html_content = html_content, ...
+R/cluster_hits.R#L2533       toc = toc, ...
+R/cluster_hits.R#L2534       header_index = header_index ...
+R/cluster_hits.R#L2541   } ...
+R/cluster_hits.R#L2543   # Add sections for limma_result_2_and_ ...
+R/cluster_hits.R#L2544   if (length(limma_result_2_and_3_plots) ...
+R/cluster_hits.R#L2550       "<h2 style='%s' id='section%d'>%s< ...
+R/cluster_hits.R#L2551       section_header_style, ...
+R/cluster_hits.R#L2552       header_index, ...
+R/cluster_hits.R#L2553       "Avrg diff conditions & interactio ...
+R/cluster_hits.R#L2557       html_content, ...
+R/cluster_hits.R#L2558       limma_main_header, ...
+R/cluster_hits.R#L2559       sep = "\n" ...
+R/cluster_hits.R#L2565       "<div style='text-align:center; ma ...
+R/cluster_hits.R#L2566       "<b><span style='font-size:24pt; ...
+R/cluster_hits.R#L2567       '>Asterisks definition (Average Di ...
+R/cluster_hits.R#L2568       paste( ...
+R/cluster_hits.R#L2573       ), ...
+R/cluster_hits.R#L2574       "<br>", ...
+R/cluster_hits.R#L2575       paste( ...
+R/cluster_hits.R#L2580       ), ...
+R/cluster_hits.R#L2581       "<br>", ...
+R/cluster_hits.R#L2582       paste( ...
+R/cluster_hits.R#L2587       ), ...
+R/cluster_hits.R#L2588       "</div>", ...
+R/cluster_hits.R#L2589       sep = "\n" ...
+R/cluster_hits.R#L2593       "<div style='text-align:center; ma ...
+R/cluster_hits.R#L2594       "<b><span style='font-size:24pt; ...
+R/cluster_hits.R#L2595       '>Asterisks definition (Interactio ...
+R/cluster_hits.R#L2596       paste( ...
+R/cluster_hits.R#L2601       ), ...
+R/cluster_hits.R#L2602       "<br>", ...
+R/cluster_hits.R#L2603       paste( ...
+R/cluster_hits.R#L2608       ), ...
+R/cluster_hits.R#L2609       "<br>", ...
+R/cluster_hits.R#L2610       paste( ...
+R/cluster_hits.R#L2615       ), ...
+R/cluster_hits.R#L2616       "</div>", ...
+R/cluster_hits.R#L2617       sep = "\n" ...
+R/cluster_hits.R#L2622       html_content, ...
+R/cluster_hits.R#L2623       asterisks_definition_avrg_diff, ...
+R/cluster_hits.R#L2624       asterisks_definition_interaction, ...
+R/cluster_hits.R#L2625       sep = "\n" ...
+R/cluster_hits.R#L2630       "<li style='%s'><a href='#section% ...
+R/cluster_hits.R#L2631       toc_style, ...
+R/cluster_hits.R#L2632       header_index, ...
+R/cluster_hits.R#L2633       "Avrg diff conditions & interactio ...
+R/cluster_hits.R#L2636       toc, ...
+R/cluster_hits.R#L2637       toc_entry, ...
+R/cluster_hits.R#L2638       sep = "\n" ...
+R/cluster_hits.R#L2643       # Create a subheader for each comp ...
+R/cluster_hits.R#L2644       header_index <- header_index + 1 ...
+R/cluster_hits.R#L2645       subheader <- sprintf( ...
+R/cluster_hits.R#L2650       ) ...
+R/cluster_hits.R#L2652       html_content <- paste( ...
+R/cluster_hits.R#L2656       ) ...
+R/cluster_hits.R#L2658       # Add an entry in the TOC for this ...
+R/cluster_hits.R#L2659       toc_entry <- paste0( ...
+R/cluster_hits.R#L2666       ) ...
+R/cluster_hits.R#L2668       toc <- paste( ...
+R/cluster_hits.R#L2672       ) ...
+R/cluster_hits.R#L2674       # Extract plot_list and feature_na ...
+R/cluster_hits.R#L2675       comparison <- limma_result_2_and_3 ...
+R/cluster_hits.R#L2676       comparison_plots <- comparison$plo ...
+R/cluster_hits.R#L2677       comparison_feature_names <- compar ...
+R/cluster_hits.R#L2679       # Iterate through each plot and it ...
+R/cluster_hits.R#L2680       for (i in seq_along(comparison_plo ...
+R/cluster_hits.R#L2683           '<div style="text-align: cente ...
+R/cluster_hits.R#L2684           font-size: 36px; margin-bottom ...
+R/cluster_hits.R#L2685           comparison_feature_names[[i]] ...
+R/cluster_hits.R#L2689           html_content, ...
+R/cluster_hits.R#L2690           feature_name_div, # Add the fe ...
+R/cluster_hits.R#L2691           sep = "\n" ...
+R/cluster_hits.R#L2696           plots_element = comparison_plo ...
+R/cluster_hits.R#L2697           plots_size = 1.5, ...
+R/cluster_hits.R#L2698           html_content = html_content, ...
+R/cluster_hits.R#L2699           toc = toc, ...
+R/cluster_hits.R#L2700           header_index = header_index, ...
+R/cluster_hits.R#L2701           element_name = "" ...
+R/cluster_hits.R#L2706       } ...
+R/cluster_hits.R#L2708   } ...
+R/cluster_hits.R#L2710   generate_and_write_html( ...
+R/cluster_hits.R#L2715   ) ...
+R/cluster_hits.R#L2758   subset_meta <- meta[meta[[condition]]  ...
+R/cluster_hits.R#L2760   if (mode == "isolated") { ...
+R/cluster_hits.R#L2762   } else if (mode == "integrated") { ...
+R/cluster_hits.R#L2764   } ...
+R/cluster_hits.R#L2766   smooth_timepoints <- seq( ...
+R/cluster_hits.R#L2770   ) ...
+R/cluster_hits.R#L2772   args <- list(x = smooth_timepoints, in ...
+R/cluster_hits.R#L2774   if (!is.null(spline_params$dof)) { ...
+R/cluster_hits.R#L2776   } else { ...
+R/cluster_hits.R#L2778   } ...
+R/cluster_hits.R#L2780   if (!is.null(spline_params$bknots)) { ...
+R/cluster_hits.R#L2782   } ...
+R/cluster_hits.R#L2785   if (spline_params$spline_type[level_in ...
+R/cluster_hits.R#L2788   } else { # natural cubic splines ...
+R/cluster_hits.R#L2790   } ...
+R/cluster_hits.R#L2792   DoF <- which(names(top_table) == "AveE ...
+R/cluster_hits.R#L2794   # columns_to_select <- 1:DoF ...
+R/cluster_hits.R#L2796   splineCoeffs <- top_table |> ...
+R/cluster_hits.R#L2800   curve_values <- matrix( ...
+R/cluster_hits.R#L2803   ) ...
+R/cluster_hits.R#L2805   for (i in 1:nrow(splineCoeffs)) { ...
+R/cluster_hits.R#L2807       splineCoeffs[i, ], ...
+R/cluster_hits.R#L2808       ncol = ncol(splineCoeffs), ...
+R/cluster_hits.R#L2809       byrow = TRUE ...
+R/cluster_hits.R#L2813   } ...
+R/cluster_hits.R#L2815   curve_values <- as.data.frame(curve_va ...
+R/cluster_hits.R#L2816   rownames(curve_values) <- rownames(spl ...
+R/cluster_hits.R#L2818   list( ...
+R/cluster_hits.R#L2822   ) ...
+R/cluster_hits.R#L2843   normalized_curves <- apply(curve_value ...
+R/cluster_hits.R#L2845   }) ...
+R/cluster_hits.R#L2847   normalized_curves <- t(normalized_curv ...
+R/cluster_hits.R#L2848   curve_values[, ] <- normalized_curves ...
+R/cluster_hits.R#L2849   curve_values ...
+R/cluster_hits.R#L2873   distance_matrix <- stats::dist(curve_v ...
+R/cluster_hits.R#L2874   hc <- stats::hclust(distance_matrix, m ...
+R/cluster_hits.R#L2876   cluster_assignments <- stats::cutree(h ...
+R/cluster_hits.R#L2878   clustered_hits <- data.frame(cluster = ...
+R/cluster_hits.R#L2880   clustered_hits$feature <- top_table$fe ...
+R/cluster_hits.R#L2881   clustered_hits <- clustered_hits[, c(" ...
+R/cluster_hits.R#L2883   colnames(curve_values) <- smooth_timep ...
+R/cluster_hits.R#L2884   curve_values$cluster <- cluster_assign ...
+R/cluster_hits.R#L2886   top_table$cluster <- NA ...
+R/cluster_hits.R#L2887   top_table$cluster[1:nrow(clustered_hit ...
+R/cluster_hits.R#L2890   group_clustering <- list( ...
+R/cluster_hits.R#L2896   ) ...
+R/cluster_hits.R#L2927   if (!is.null(spline_params$spline_type ...
+R/cluster_hits.R#L2930   } else { ...
+R/cluster_hits.R#L2932   } ...
+R/cluster_hits.R#L2934   if (!is.null(spline_params$degree) && ...
+R/cluster_hits.R#L2937   } else { ...
+R/cluster_hits.R#L2939   } ...
+R/cluster_hits.R#L2941   if (!is.null(spline_params$dof) && ...
+R/cluster_hits.R#L2944   } else { ...
+R/cluster_hits.R#L2946   } ...
+R/cluster_hits.R#L2948   if (!is.null(spline_params$knots) && ...
+R/cluster_hits.R#L2951   } else { ...
+R/cluster_hits.R#L2953   } ...
+R/cluster_hits.R#L2955   if (!is.null(spline_params$bknots) && ...
+R/cluster_hits.R#L2958   } else { ...
+R/cluster_hits.R#L2960   } ...
+R/cluster_hits.R#L2962   if (spline_params$spline_type[j] == "b ...
+R/cluster_hits.R#L2964       " ...
+R/cluster_hits.R#L2972       spline_params$degree[j], spline_pa ...
+R/cluster_hits.R#L2973       spline_params$knots[j], spline_par ...
+R/cluster_hits.R#L2975   } else { # spline_type == "n" ...
+R/cluster_hits.R#L2977       " ...
+R/cluster_hits.R#L2984       spline_params$dof[j], spline_param ...
+R/cluster_hits.R#L2985       spline_params$bknots[j] ...
+R/cluster_hits.R#L2987   } ...
+R/cluster_hits.R#L2988   return(spline_params_info) ...
+R/cluster_hits.R#L3008   vapply(names, function(x) { ...
+R/cluster_hits.R#L3010       return(paste0(substr(x, 1, max_len ...
+R/cluster_hits.R#L3012       return(x) ...
+R/cluster_hits.R#L3014   }, character(1)) ...
+R/cluster_hits.R#L3021   x_max <- as.numeric(max(time_points)) ...
+R/cluster_hits.R#L3023   # Calculate the minimum spacing based  ...
+R/cluster_hits.R#L3024   min_spacing <- x_max * percentage_thre ...
+R/cluster_hits.R#L3026   all_time_points <- unique(c(time_point ...
+R/cluster_hits.R#L3028   # Calculate the differences between co ...
+R/cluster_hits.R#L3029   time_diffs <- diff(all_time_points) ...
+R/cluster_hits.R#L3031   # Keep labels that are more than the m ...
+R/cluster_hits.R#L3032   keep_labels <- c(TRUE, time_diffs > mi ...
+R/cluster_hits.R#L3033   filtered_time_points <- all_time_point ...
+R/cluster_hits.R#L3035   return(filtered_time_points) ...
+R/cluster_hits.R#L3059   time_data <- data.frame( ...
+R/cluster_hits.R#L3062   ) ...
+R/cluster_hits.R#L3064   unique_times <- unique(time_data$Time) ...
+R/cluster_hits.R#L3066   cvs <- vapply( ...
+R/cluster_hits.R#L3069       # Subset for the specific time poi ...
+R/cluster_hits.R#L3070       values_at_time <- time_data$Respon ...
+R/cluster_hits.R#L3071       # Calculate CV if the mean is not  ...
+R/cluster_hits.R#L3072       if (mean(values_at_time, na.rm = T ...
+R/cluster_hits.R#L3075           values_at_time, ...
+R/cluster_hits.R#L3076           na.rm = TRUE ...
+R/cluster_hits.R#L3078           mean( ...
+R/cluster_hits.R#L3081           )) * 100 ...
+R/cluster_hits.R#L3082       } else { ...
+R/cluster_hits.R#L3084       } ...
+R/cluster_hits.R#L3087   ) ...
+R/cluster_hits.R#L3088   # Return the average CV across time po ...
+R/cluster_hits.R#L3089   return(mean( ...
+R/cluster_hits.R#L3092   )) ...
+R/cluster_hits.R#L3131   time_col <- rlang::sym("time") ...
+R/cluster_hits.R#L3132   feature_col <- rlang::sym("feature") ...
+R/cluster_hits.R#L3134   # Convert data to long format ...
+R/cluster_hits.R#L3135   df_long <- as.data.frame(t(time_series ...
+R/cluster_hits.R#L3138       cols = -!!time_col, ...
+R/cluster_hits.R#L3139       names_to = "feature", ...
+R/cluster_hits.R#L3140       values_to = "intensity" ...
+R/cluster_hits.R#L3145   # Compute consensus (mean of each colu ...
+R/cluster_hits.R#L3146   consensus <- colMeans(time_series_data ...
+R/cluster_hits.R#L3148   consensus_df <- data.frame( ...
+R/cluster_hits.R#L3151   ) ...
+R/cluster_hits.R#L3153   time_unit_label <- paste0("[", plot_in ...
+R/cluster_hits.R#L3155   color_values <- c( ...
+R/cluster_hits.R#L3158   ) ...
+R/cluster_hits.R#L3160   p <- ggplot2::ggplot() + ...
+R/cluster_hits.R#L3162       data = df_long, ...
+R/cluster_hits.R#L3163       ggplot2::aes( ...
+R/cluster_hits.R#L3168       ), ...
+R/cluster_hits.R#L3169       alpha = 0.3, linewidth = 0.5 ...
+R/cluster_hits.R#L3172       data = consensus_df, ...
+R/cluster_hits.R#L3173       ggplot2::aes( ...
+R/cluster_hits.R#L3177       ), ...
+R/cluster_hits.R#L3178       linewidth = 1.5 ...
+R/cluster_hits.R#L3181   treatment_labels <- NA ...
+R/cluster_hits.R#L3183   result <- maybe_add_dashed_lines( ...
+R/cluster_hits.R#L3187   ) ...
+R/cluster_hits.R#L3189   p <- result$p ...
+R/cluster_hits.R#L3190   treatment_colors <- result$treatment_c ...
+R/cluster_hits.R#L3192   # Combine the original colors with the ...
+R/cluster_hits.R#L3193   color_values <- c(color_values, treatm ...
+R/cluster_hits.R#L3195   # Add the final scale for colors and a ...
+R/cluster_hits.R#L3196   p <- p + ...
+R/cluster_hits.R#L3198       name = "", ...
+R/cluster_hits.R#L3199       values = color_values, ...
+R/cluster_hits.R#L3200       guide = ggplot2::guide_legend( ...
+R/cluster_hits.R#L3202           size = c( ...
+R/cluster_hits.R#L3206           ) ...
+R/cluster_hits.R#L3208       ) ...
+R/cluster_hits.R#L3213       title = title, ...
+R/cluster_hits.R#L3214       x = paste("Time", time_unit_label) ...
+R/cluster_hits.R#L3215       y = paste("min-max norm.", plot_in ...
+R/cluster_hits.R#L3218       plot.margin = grid::unit(c(1, 1, 1 ...
+R/cluster_hits.R#L3219       legend.position = "right", ...
+R/cluster_hits.R#L3220       legend.box = "vertical", ...
+R/cluster_hits.R#L3221       legend.title = ggplot2::element_te ...
+R/cluster_hits.R#L3222       legend.background = ggplot2::eleme ...
+R/cluster_hits.R#L3223       axis.title.y = ggplot2::element_te ...
+R/cluster_hits.R#L3224       plot.title = ggplot2::element_text ...
+R/cluster_hits.R#L3225       legend.key.size = grid::unit(0.6,  ...
+R/cluster_hits.R#L3226       legend.key.height = grid::unit(0.3 ...
+R/cluster_hits.R#L3229   return(p) ...
+R/cluster_hits.R#L3264   # Initialize an empty vector to store  ...
+R/cluster_hits.R#L3265   treatment_colors <- c() ...
+R/cluster_hits.R#L3267   # Check if there are treatment labels ...
+R/cluster_hits.R#L3268   if (!all(is.na(plot_info$treatment_lab ...
+R/cluster_hits.R#L3275       # Take the single unnamed element ...
+R/cluster_hits.R#L3276       treatment_timepoints <- plot_info$ ...
+R/cluster_hits.R#L3277       treatment_labels <- plot_info$trea ...
+R/cluster_hits.R#L3279       # Check if the key (level) is in t ...
+R/cluster_hits.R#L3280       if (level %in% names(plot_info$tre ...
+R/cluster_hits.R#L3285       } ...
+R/cluster_hits.R#L3290       !is.null(treatment_labels) && ...
+R/cluster_hits.R#L3291       all(!is.na(treatment_timepoints))  ...
+R/cluster_hits.R#L3292       all(!is.na(treatment_labels))) { ...
+R/cluster_hits.R#L3293       # Generate colors for the treatmen ...
+R/cluster_hits.R#L3294       treatment_colors <- scales::hue_pa ...
+R/cluster_hits.R#L3295       names(treatment_colors) <- treatme ...
+R/cluster_hits.R#L3297       # Call the function to add dashed  ...
+R/cluster_hits.R#L3298       p <- add_dashed_lines( ...
+R/cluster_hits.R#L3303       ) ...
+R/cluster_hits.R#L3305   } ...
+R/cluster_hits.R#L3307   # Return both the updated plot and the ...
+R/cluster_hits.R#L3308   return(list( ...
+R/cluster_hits.R#L3311   )) ...
+R/cluster_hits.R#L3345   # Check if treatment labels and timepo ...
+R/cluster_hits.R#L3346   if (!is.null(treatment_timepoints) && ...
+R/cluster_hits.R#L3352       Time = treatment_timepoints, ...
+R/cluster_hits.R#L3353       Label = treatment_labels ...
+R/cluster_hits.R#L3362       ggplot2::geom_vline( ...
+R/cluster_hits.R#L3365           xintercept = .data$Time, ...
+R/cluster_hits.R#L3366           color = .data$Label ...
+R/cluster_hits.R#L3370       ) + ...
+R/cluster_hits.R#L3371       ggplot2::geom_text( ...
+R/cluster_hits.R#L3374           x = Time - max(Time) * 0.005,  ...
+R/cluster_hits.R#L3375           y = y_pos, ...
+R/cluster_hits.R#L3376           label = round(Time, 2), ...
+R/cluster_hits.R#L3377           color = Label ...
+R/cluster_hits.R#L3384       ) ...
+R/cluster_hits.R#L3385   } ...
+R/cluster_hits.R#L3387   return(p) # Return the updated plot ob ...
+R/create_limma_report.R#L53   report_dir <- normalizePath( ...
+R/create_limma_report.R#L56   ) ...
+R/create_limma_report.R#L58   check_splineomics_elements( ...
+R/create_limma_report.R#L61   ) ...
+R/create_limma_report.R#L63   # Control the function arguments ...
+R/create_limma_report.R#L64   args <- lapply(as.list(match.call()[-1 ...
+R/create_limma_report.R#L65   check_null_elements(args) ...
+R/create_limma_report.R#L66   input_control <- InputControl$new(args ...
+R/create_limma_report.R#L67   input_control$auto_validate() ...
+R/create_limma_report.R#L69   limma_splines_result <- splineomics[[" ...
+R/create_limma_report.R#L70   meta <- splineomics[["meta"]] ...
+R/create_limma_report.R#L71   condition <- splineomics[["condition"] ...
+R/create_limma_report.R#L72   annotation <- splineomics[["annotation ...
+R/create_limma_report.R#L73   report_info <- splineomics[["report_in ...
+R/create_limma_report.R#L75   # Get the top_tables of the three limm ...
+R/create_limma_report.R#L76   time_effect <- limma_splines_result$ti ...
+R/create_limma_report.R#L77   avrg_diff_conditions <- limma_splines_ ...
+R/create_limma_report.R#L78   interaction_condition_time <- limma_sp ...
+R/create_limma_report.R#L80   plots <- list() ...
+R/create_limma_report.R#L81   plots_sizes <- list() ...
+R/create_limma_report.R#L82   section_headers_info <- list() ...
+R/create_limma_report.R#L85   result <- generate_time_effect_plots( ...
+R/create_limma_report.R#L88   ) ...
+R/create_limma_report.R#L90   plots <- c( ...
+R/create_limma_report.R#L93   ) ...
+R/create_limma_report.R#L94   plots_sizes <- c( ...
+R/create_limma_report.R#L97   ) ...
+R/create_limma_report.R#L98   section_headers_info <- c( ...
+R/create_limma_report.R#L101   ) ...
+R/create_limma_report.R#L104   # length == 0 when there was just one  ...
+R/create_limma_report.R#L105   if (length(avrg_diff_conditions) > 0)  ...
+R/create_limma_report.R#L107       avrg_diff_conditions, ...
+R/create_limma_report.R#L108       adj_pthresh ...
+R/create_limma_report.R#L112       plots, ...
+R/create_limma_report.R#L113       result$plots ...
+R/create_limma_report.R#L116       plots_sizes, ...
+R/create_limma_report.R#L117       result$plots_sizes ...
+R/create_limma_report.R#L120       section_headers_info, ...
+R/create_limma_report.R#L121       result$section_headers_info ...
+R/create_limma_report.R#L123   } ...
+R/create_limma_report.R#L125   # length == 0 when there was just one  ...
+R/create_limma_report.R#L126   if (length(interaction_condition_time) ...
+R/create_limma_report.R#L128       interaction_condition_time, ...
+R/create_limma_report.R#L129       adj_pthresh ...
+R/create_limma_report.R#L133       plots, ...
+R/create_limma_report.R#L134       result$plots ...
+R/create_limma_report.R#L137       plots_sizes, ...
+R/create_limma_report.R#L138       result$plots_sizes ...
+R/create_limma_report.R#L141       section_headers_info, ...
+R/create_limma_report.R#L142       result$section_headers_info ...
+R/create_limma_report.R#L144   } ...
+R/create_limma_report.R#L146   all_top_tables <- c( ...
+R/create_limma_report.R#L150   ) ...
+R/create_limma_report.R#L152   unique_values <- unique(meta[[conditio ...
+R/create_limma_report.R#L153   new_names <- vapply( ...
+R/create_limma_report.R#L158   ) ...
+R/create_limma_report.R#L159   names(all_top_tables) <- new_names ...
+R/create_limma_report.R#L161   if (!is.null(annotation)) { ...
+R/create_limma_report.R#L164       all_top_tables[[index]] <- merge_t ...
+R/create_limma_report.R#L167       ) ...
+R/create_limma_report.R#L169   } ...
+R/create_limma_report.R#L171   generate_report_html( ...
+R/create_limma_report.R#L180   ) ...
+R/create_limma_report.R#L182   print_info_message( ...
+R/create_limma_report.R#L185   ) ...
+R/create_limma_report.R#L187   return(plots) ...
+R/create_limma_report.R#L212   plots <- list("Time Effect") ...
+R/create_limma_report.R#L213   plots_sizes <- c(999) ...
+R/create_limma_report.R#L215   header_info <- list(header_name = "Tim ...
+R/create_limma_report.R#L216   section_headers_info <- list(header_in ...
+R/create_limma_report.R#L218   for (i in seq_along(time_effect)) { ...
+R/create_limma_report.R#L225       top_table = top_table, ...
+R/create_limma_report.R#L226       title = title ...
+R/create_limma_report.R#L230       plots, ...
+R/create_limma_report.R#L231       list(p_value_hist) ...
+R/create_limma_report.R#L234   } ...
+R/create_limma_report.R#L236   list( ...
+R/create_limma_report.R#L240   ) ...
+R/create_limma_report.R#L262   plots <- list("Average Difference Cond ...
+R/create_limma_report.R#L263   plots_sizes <- c(999) ...
+R/create_limma_report.R#L265   header_info <- list(header_name = "Ave ...
+R/create_limma_report.R#L266   section_headers_info <- list(header_in ...
+R/create_limma_report.R#L268   for (i in seq_along(avrg_diff_conditio ...
+R/create_limma_report.R#L276       top_table = top_table, ...
+R/create_limma_report.R#L277       title = title ...
 R/create_limma_report.R#L283       top_table = top_table, ...
-R/create_limma_report.R#L284       title = title ...
-R/create_limma_report.R#L285       ) ...
-R/create_limma_report.R#L290       top_table = top_table, ...
-R/create_limma_report.R#L291       adj_pthresh = adj_pthresh, ...
-R/create_limma_report.R#L292       compared_levels ...
-R/create_limma_report.R#L293       ) ...
-R/create_limma_report.R#L297   } ...
-R/create_limma_report.R#L298    ...
-R/create_limma_report.R#L299   list( ...
-R/create_limma_report.R#L327    ...
-R/create_limma_report.R#L328   plots <- list("Interaction of Conditio ...
-R/create_limma_report.R#L329   plots_sizes <- c(999) ...
-R/create_limma_report.R#L330    ...
-R/create_limma_report.R#L331   header_info <- list(header_name = "Int ...
-R/create_limma_report.R#L332   section_headers_info <- list(header_in ...
-R/create_limma_report.R#L333    ...
-R/create_limma_report.R#L334   for (i in seq_along(interaction_condit ...
-R/create_limma_report.R#L343       top_table = top_table, ...
-R/create_limma_report.R#L344       title = title ...
-R/create_limma_report.R#L345       ) ...
-R/create_limma_report.R#L349   } ...
-R/create_limma_report.R#L350    ...
-R/create_limma_report.R#L351   list( ...
-R/create_limma_report.R#L376    ...
-R/create_limma_report.R#L377   for (val in unique_values) { ...
-R/create_limma_report.R#L380   } ...
-R/create_limma_report.R#L381   return(name) ...
-R/create_limma_report.R#L413    ...
-R/create_limma_report.R#L414   # Read the text file and split it into ...
-R/create_limma_report.R#L415   descriptions_path <- system.file( ...
-R/create_limma_report.R#L420   text_blocks <- readLines(descriptions_ ...
-R/create_limma_report.R#L421   text_blocks <- split( ...
-R/create_limma_report.R#L425    ...
-R/create_limma_report.R#L426   # Remove empty elements created by spl ...
-R/create_limma_report.R#L427   text_blocks <- Filter(function(x) leng ...
-R/create_limma_report.R#L428    ...
-R/create_limma_report.R#L429    ...
-R/create_limma_report.R#L430   html_content <- paste( ...
-R/create_limma_report.R#L435    ...
-R/create_limma_report.R#L436   toc <- create_toc() ...
-R/create_limma_report.R#L437    ...
-R/create_limma_report.R#L438   styles <- define_html_styles() ...
-R/create_limma_report.R#L439   section_header_style <- styles$section ...
-R/create_limma_report.R#L440   toc_style <- styles$toc_style ...
-R/create_limma_report.R#L441    ...
-R/create_limma_report.R#L442   current_header_index <- 1 ...
-R/create_limma_report.R#L443   level_headers_info <- Filter(Negate(is ...
-R/create_limma_report.R#L444    ...
-R/create_limma_report.R#L445   pb <- create_progress_bar(plots) ...
-R/create_limma_report.R#L446   # Generate the sections and plots ...
-R/create_limma_report.R#L447   for (index in seq_along(plots)) { ...
-R/create_limma_report.R#L450       header_info <- level_headers_info[ ...
-R/create_limma_report.R#L452       # means jump to next section ...
-R/create_limma_report.R#L453       if (any(class(plots[[index]]) == " ...
-R/create_limma_report.R#L456           "<h2 style='%s' id='section%d' ...
-R/create_limma_report.R#L457           section_header_style,  ...
-R/create_limma_report.R#L458           index,  ...
-R/create_limma_report.R#L459           header_info$header_name ...
-R/create_limma_report.R#L460           ) ...
-R/create_limma_report.R#L463           html_content, ...
-R/create_limma_report.R#L464           section_header,  ...
-R/create_limma_report.R#L465           sep = "\n" ...
-R/create_limma_report.R#L466           ) ...
-R/create_limma_report.R#L470           # Convert text block to a sing ...
-R/create_limma_report.R#L471           text_block_html <- paste( ...
-R/create_limma_report.R#L474               text_blocks[[current_heade ...
-R/create_limma_report.R#L475               collapse = " " ...
-R/create_limma_report.R#L476               ), ...
-R/create_limma_report.R#L480            ...
-R/create_limma_report.R#L481           html_content <- paste( ...
-R/create_limma_report.R#L485           ) ...
-R/create_limma_report.R#L493           html_content, ...
-R/create_limma_report.R#L494           hits_info, ...
-R/create_limma_report.R#L495           sep = "\n" ...
-R/create_limma_report.R#L496           ) ...
-R/create_limma_report.R#L499           "<li style='%s'><a href='#sect ...
-R/create_limma_report.R#L500           toc_style, ...
-R/create_limma_report.R#L501           index, ...
-R/create_limma_report.R#L502           header_info[[1]] ...
-R/create_limma_report.R#L503           ) ...
-R/create_limma_report.R#L506           toc, ...
-R/create_limma_report.R#L507           toc_entry, ...
-R/create_limma_report.R#L508           sep = "\n" ...
-R/create_limma_report.R#L509           ) ...
-R/create_limma_report.R#L515       }  ...
-R/create_limma_report.R#L519       plots_element = plots[[index]], ...
-R/create_limma_report.R#L520       plots_size = plots_sizes[[index]], ...
-R/create_limma_report.R#L521       html_content = html_content, ...
-R/create_limma_report.R#L522       toc = toc, ...
-R/create_limma_report.R#L523       header_index = current_header_inde ...
-R/create_limma_report.R#L529   } ...
-R/create_limma_report.R#L530    ...
-R/create_limma_report.R#L531   generate_and_write_html( ...
-R/create_limma_report.R#L536   ) ...
-R/create_limma_report.R#L564   # Check if the top_table has a P.Value ...
-R/create_limma_report.R#L565   if (!"P.Value" %in% colnames(top_table ...
-R/create_limma_report.R#L567   } ...
-R/create_limma_report.R#L569   # Create the histogram ...
-R/create_limma_report.R#L570   p <- ggplot2::ggplot( ...
-R/create_limma_report.R#L574   ) + ...
-R/create_limma_report.R#L576       binwidth = 0.01, ...
-R/create_limma_report.R#L577       fill = "orange", ...
-R/create_limma_report.R#L578       color = "black", alpha = 0.7 ...
-R/create_limma_report.R#L581       title = title, ...
-R/create_limma_report.R#L582       x = "Unadjusted P-Value", ...
-R/create_limma_report.R#L583       y = "Frequency" ...
-R/create_limma_report.R#L587   return(p) ...
-R/create_limma_report.R#L614    ...
-R/create_limma_report.R#L615   logFC <- NULL ...
-R/create_limma_report.R#L616   adj.P.Val <- NULL ...
-R/create_limma_report.R#L617    ...
-R/create_limma_report.R#L618   top_table <- top_table |> ...
-R/create_limma_report.R#L620       Regulation = ifelse( ...
-R/create_limma_report.R#L624       ), ...
-R/create_limma_report.R#L625       Alpha = ifelse( ...
-R/create_limma_report.R#L629       ) ...
-R/create_limma_report.R#L631    ...
-R/create_limma_report.R#L632   # Create a named vector for the colors ...
-R/create_limma_report.R#L633   colors <- c("blue", "darkgrey") |> ...
-R/create_limma_report.R#L635       compared_levels[2], ...
-R/create_limma_report.R#L636       compared_levels[1] ...
-R/create_limma_report.R#L638    ...
-R/create_limma_report.R#L639   # Calculate the number of hits ...
-R/create_limma_report.R#L640   num_hits <- sum(top_table$adj.P.Val <  ...
-R/create_limma_report.R#L641   total_tests <- nrow(top_table) ...
-R/create_limma_report.R#L642   percent_hits <- (num_hits / total_test ...
-R/create_limma_report.R#L643    ...
-R/create_limma_report.R#L644   volcano_plot <- ggplot2::ggplot( ...
-R/create_limma_report.R#L647       x = logFC,  ...
-R/create_limma_report.R#L648       y = -log10(adj.P.Val),  ...
-R/create_limma_report.R#L649       color = .data$Regulation, ...
-R/create_limma_report.R#L650       alpha = .data$Alpha ...
-R/create_limma_report.R#L652   ) + ...
-R/create_limma_report.R#L655       "rect",  ...
-R/create_limma_report.R#L656       xmin = -Inf,  ...
-R/create_limma_report.R#L657       xmax = Inf,  ...
-R/create_limma_report.R#L658       ymin = 0,  ...
-R/create_limma_report.R#L659       ymax = -log10(adj_pthresh),  ...
-R/create_limma_report.R#L660       fill = "gray90"  # Light gray colo ...
-R/create_limma_report.R#L665       title = paste( ...
-R/create_limma_report.R#L670       ), ...
-R/create_limma_report.R#L671       x = paste( ...
-R/create_limma_report.R#L678       ), ...
-R/create_limma_report.R#L679       y = "-Log10 Adjusted P-value" ...
-R/create_limma_report.R#L683       yintercept = -log10(adj_pthresh),  ...
-R/create_limma_report.R#L684       linetype = "dashed",  ...
-R/create_limma_report.R#L685       color = "red" ...
-R/create_limma_report.R#L689       geom = "text",  ...
-R/create_limma_report.R#L690       x = Inf,  ...
-R/create_limma_report.R#L691       y = -log10(adj_pthresh),  ...
-R/create_limma_report.R#L692       label = paste( ...
-R/create_limma_report.R#L695       ),  ...
-R/create_limma_report.R#L696       hjust = 1.1,  ...
-R/create_limma_report.R#L697       vjust = -1.5,  ...
-R/create_limma_report.R#L698       color = "red" ...
-R/create_limma_report.R#L701       values = colors ...
-R/create_limma_report.R#L704       range = c(0.5, 1) ...
-R/create_limma_report.R#L707       geom = "text",  ...
-R/create_limma_report.R#L708       x = max(top_table$logFC) * 0.8,  ...
-R/create_limma_report.R#L709       y = Inf,  ...
-R/create_limma_report.R#L710       label = paste( ...
-R/create_limma_report.R#L713       ),  ...
-R/create_limma_report.R#L714       hjust = 1.1,  ...
-R/create_limma_report.R#L715       vjust = 1.1,  ...
-R/create_limma_report.R#L716       color = "blue",  ...
-R/create_limma_report.R#L717       size = 3 ...
-R/create_limma_report.R#L720       geom = "text",  ...
-R/create_limma_report.R#L721       x = min(top_table$logFC) * 0.8,  ...
-R/create_limma_report.R#L722       y = Inf,  ...
-R/create_limma_report.R#L723       label = paste( ...
-R/create_limma_report.R#L726       ),  ...
-R/create_limma_report.R#L727       hjust = -0.1,  ...
-R/create_limma_report.R#L728       vjust = 1.1,  ...
-R/create_limma_report.R#L729       color = "darkgrey",  ...
-R/create_limma_report.R#L730       size = 3 ...
-R/create_limma_report.R#L733       geom = "text",  ...
-R/create_limma_report.R#L734       x = 0,  ...
-R/create_limma_report.R#L735       y = Inf,  ...
-R/create_limma_report.R#L736       label = paste( ...
-R/create_limma_report.R#L740       ),  ...
-R/create_limma_report.R#L741       hjust = 0.5,  ...
-R/create_limma_report.R#L742       vjust = 3,  ...
-R/create_limma_report.R#L743       color = "black",  ...
-R/create_limma_report.R#L744       size = 3 ...
-R/create_limma_report.R#L747       legend.position = "none" ...
-R/create_limma_report.R#L749    ...
-R/create_limma_report.R#L750   return(volcano_plot) ...
-R/create_limma_report.R#L769    ...
-R/create_limma_report.R#L770   pattern <- paste0("^", prefix) ...
-R/create_limma_report.R#L771   result <- sub(pattern, "", string) ...
-R/download_enrichr_databases.R#L34    ...
-R/download_enrichr_databases.R#L35   # Control the user inputs ...
-R/download_enrichr_databases.R#L36   if (!is.character(gene_set_lib) || len ...
-R/download_enrichr_databases.R#L38   } ...
-R/download_enrichr_databases.R#L39    ...
-R/download_enrichr_databases.R#L40   # Control the filename input (must be  ...
-R/download_enrichr_databases.R#L41   if (!is.null(filename)  ...
-R/download_enrichr_databases.R#L42       && (!is.character(filename)  ...
-R/download_enrichr_databases.R#L43           || length(filename) != 1)) { ...
-R/download_enrichr_databases.R#L45   } ...
-R/download_enrichr_databases.R#L46    ...
-R/download_enrichr_databases.R#L47   # Control the inputs ...
-R/download_enrichr_databases.R#L48   args <- lapply(as.list(match.call()[-1 ...
-R/download_enrichr_databases.R#L49   check_null_elements(args) ...
-R/download_enrichr_databases.R#L50   input_control <- InputControl$new(args ...
-R/download_enrichr_databases.R#L51   input_control$auto_validate() ...
-R/download_enrichr_databases.R#L53   genesets <- enrichr_get_genesets(datab ...
-R/download_enrichr_databases.R#L54    ...
-R/download_enrichr_databases.R#L55   genesets <- do.call(rbind, lapply(name ...
-R/download_enrichr_databases.R#L57       tibble::tibble( ...
-R/download_enrichr_databases.R#L61       ) ...
-R/download_enrichr_databases.R#L63   })) ...
-R/download_enrichr_databases.R#L64    ...
-R/download_enrichr_databases.R#L65   genesets <- genesets |> ...
-R/download_enrichr_databases.R#L67    ...
-R/download_enrichr_databases.R#L68   dir.create( ...
-R/download_enrichr_databases.R#L73    ...
-R/download_enrichr_databases.R#L74   # Create filename if not specified ...
-R/download_enrichr_databases.R#L75   if (is.null(filename)) { ...
-R/download_enrichr_databases.R#L77       Sys.time(), ...
-R/download_enrichr_databases.R#L78       "%d_%m_%Y-%H_%M_%S" ...
-R/download_enrichr_databases.R#L81       "all_databases_", ...
-R/download_enrichr_databases.R#L82       timestamp, ".tsv" ...
-R/download_enrichr_databases.R#L84   } ...
-R/download_enrichr_databases.R#L85    ...
-R/download_enrichr_databases.R#L86   filename_path <- here::here( ...
-R/download_enrichr_databases.R#L91   utils::write.table( ...
-R/download_enrichr_databases.R#L98   ) ...
-R/download_enrichr_databases.R#L99    ...
-R/download_enrichr_databases.R#L100   message("Download complete! The file h ...
-R/download_enrichr_databases.R#L101    ...
-R/download_enrichr_databases.R#L102   return(invisible(filename_path)) ...
-R/download_enrichr_databases.R#L124    ...
-R/download_enrichr_databases.R#L125   pb <- create_progress_bar( ...
-R/download_enrichr_databases.R#L129    ...
-R/download_enrichr_databases.R#L130   setNames(lapply(databases, function(db ...
-R/download_enrichr_databases.R#L136       "http://amp.pharm.mssm.edu/Enrichr ...
-R/download_enrichr_databases.R#L137       "mode=text&libraryName=", ...
-R/download_enrichr_databases.R#L138       dbx ...
-R/download_enrichr_databases.R#L139       ) ...
-R/download_enrichr_databases.R#L143       readLines(con = fhandle) ...
-R/download_enrichr_databases.R#L145       message(e, "\nFailed reading datab ...
-R/download_enrichr_databases.R#L146       NULL ...
-R/download_enrichr_databases.R#L151        ...
-R/download_enrichr_databases.R#L152       return(list()) ...
-R/download_enrichr_databases.R#L153        ...
-R/download_enrichr_databases.R#L155        ...
-R/download_enrichr_databases.R#L156       res <- strsplit(dblines, "\t") ...
-R/download_enrichr_databases.R#L157       names(res) <- sapply(res, function ...
-R/download_enrichr_databases.R#L158       res <- lapply(res, function(x) x[3 ...
-R/download_enrichr_databases.R#L159       return(res) ...
-R/download_enrichr_databases.R#L161   }), databases) ...
-R/explore_data.R#L29    ...
-R/explore_data.R#L30   report_dir <- normalizePath( ...
-R/explore_data.R#L33   ) ...
-R/explore_data.R#L34    ...
-R/explore_data.R#L35   check_splineomics_elements( ...
-R/explore_data.R#L38   ) ...
-R/explore_data.R#L39    ...
-R/explore_data.R#L40   # Control the function arguments ...
-R/explore_data.R#L41   args <- lapply(as.list(match.call()[-1 ...
-R/explore_data.R#L42   check_null_elements(args) ...
-R/explore_data.R#L43   input_control <- InputControl$new(args ...
-R/explore_data.R#L44   input_control$auto_validate() ...
-R/explore_data.R#L45    ...
-R/explore_data.R#L46    ...
-R/explore_data.R#L47   data <- splineomics[["data"]] ...
-R/explore_data.R#L48   meta <- splineomics[["meta"]] ...
-R/explore_data.R#L49   annotation <- splineomics[["annotation ...
+R/create_limma_report.R#L284       adj_pthresh = adj_pthresh, ...
+R/create_limma_report.R#L285       compared_levels ...
+R/create_limma_report.R#L290   } ...
+R/create_limma_report.R#L292   list( ...
+R/create_limma_report.R#L296   ) ...
+R/create_limma_report.R#L319   plots <- list("Interaction of Conditio ...
+R/create_limma_report.R#L320   plots_sizes <- c(999) ...
+R/create_limma_report.R#L322   header_info <- list(header_name = "Int ...
+R/create_limma_report.R#L323   section_headers_info <- list(header_in ...
+R/create_limma_report.R#L325   for (i in seq_along(interaction_condit ...
+R/create_limma_report.R#L334       top_table = top_table, ...
+R/create_limma_report.R#L335       title = title ...
+R/create_limma_report.R#L340   } ...
+R/create_limma_report.R#L342   list( ...
+R/create_limma_report.R#L346   ) ...
+R/create_limma_report.R#L366   for (val in unique_values) { ...
+R/create_limma_report.R#L369   } ...
+R/create_limma_report.R#L370   return(name) ...
+R/create_limma_report.R#L401   # Read the text file and split it into ...
+R/create_limma_report.R#L402   descriptions_path <- system.file( ...
+R/create_limma_report.R#L406   ) ...
+R/create_limma_report.R#L407   text_blocks <- readLines(descriptions_ ...
+R/create_limma_report.R#L408   text_blocks <- split( ...
+R/create_limma_report.R#L411   ) # Split by empty lines ...
+R/create_limma_report.R#L413   # Remove empty elements created by spl ...
+R/create_limma_report.R#L414   text_blocks <- Filter(function(x) leng ...
+R/create_limma_report.R#L417   html_content <- paste( ...
+R/create_limma_report.R#L421   ) ...
+R/create_limma_report.R#L423   toc <- create_toc() ...
+R/create_limma_report.R#L425   styles <- define_html_styles() ...
+R/create_limma_report.R#L426   section_header_style <- styles$section ...
+R/create_limma_report.R#L427   toc_style <- styles$toc_style ...
+R/create_limma_report.R#L429   current_header_index <- 1 ...
+R/create_limma_report.R#L430   level_headers_info <- Filter(Negate(is ...
+R/create_limma_report.R#L432   pb <- create_progress_bar(plots) ...
+R/create_limma_report.R#L433   # Generate the sections and plots ...
+R/create_limma_report.R#L434   for (index in seq_along(plots)) { ...
+R/create_limma_report.R#L436       header_info <- level_headers_info[ ...
+R/create_limma_report.R#L438       # means jump to next section ...
+R/create_limma_report.R#L439       if (any(class(plots[[index]]) == " ...
+R/create_limma_report.R#L441           "<h2 style='%s' id='section%d' ...
+R/create_limma_report.R#L442           section_header_style, ...
+R/create_limma_report.R#L443           index, ...
+R/create_limma_report.R#L444           header_info$header_name ...
+R/create_limma_report.R#L448           html_content, ...
+R/create_limma_report.R#L449           section_header, ...
+R/create_limma_report.R#L450           sep = "\n" ...
+R/create_limma_report.R#L455           # Convert text block to a sing ...
+R/create_limma_report.R#L456           text_block_html <- paste( ...
+R/create_limma_report.R#L459               text_blocks[[current_heade ...
+R/create_limma_report.R#L460               collapse = " " ...
+R/create_limma_report.R#L464           ) ...
+R/create_limma_report.R#L466           html_content <- paste( ...
+R/create_limma_report.R#L470           ) ...
+R/create_limma_report.R#L474           "<p style='text-align: center; ...
+R/create_limma_report.R#L478           html_content, ...
+R/create_limma_report.R#L479           hits_info, ...
+R/create_limma_report.R#L480           sep = "\n" ...
+R/create_limma_report.R#L484           "<li style='%s'><a href='#sect ...
+R/create_limma_report.R#L485           toc_style, ...
+R/create_limma_report.R#L486           index, ...
+R/create_limma_report.R#L487           header_info[[1]] ...
+R/create_limma_report.R#L491           toc, ...
+R/create_limma_report.R#L492           toc_entry, ...
+R/create_limma_report.R#L493           sep = "\n" ...
+R/create_limma_report.R#L500       } ...
+R/create_limma_report.R#L504       plots_element = plots[[index]], ...
+R/create_limma_report.R#L505       plots_size = plots_sizes[[index]], ...
+R/create_limma_report.R#L506       html_content = html_content, ...
+R/create_limma_report.R#L507       toc = toc, ...
+R/create_limma_report.R#L508       header_index = current_header_inde ...
+R/create_limma_report.R#L514   } ...
+R/create_limma_report.R#L516   generate_and_write_html( ...
+R/create_limma_report.R#L521   ) ...
+R/create_limma_report.R#L547   # Check if the top_table has a P.Value ...
+R/create_limma_report.R#L548   if (!"P.Value" %in% colnames(top_table ...
+R/create_limma_report.R#L550   } ...
+R/create_limma_report.R#L552   # Create the histogram ...
+R/create_limma_report.R#L553   p <- ggplot2::ggplot( ...
+R/create_limma_report.R#L557   ) + ...
+R/create_limma_report.R#L559       binwidth = 0.01, ...
+R/create_limma_report.R#L560       fill = "orange", ...
+R/create_limma_report.R#L561       color = "black", alpha = 0.7 ...
+R/create_limma_report.R#L564       title = title, ...
+R/create_limma_report.R#L565       x = "Unadjusted P-Value", ...
+R/create_limma_report.R#L566       y = "Frequency" ...
+R/create_limma_report.R#L570   return(p) ...
+R/create_limma_report.R#L596   logFC <- NULL ...
+R/create_limma_report.R#L597   adj.P.Val <- NULL ...
+R/create_limma_report.R#L599   top_table <- top_table |> ...
+R/create_limma_report.R#L601       Regulation = ifelse( ...
+R/create_limma_report.R#L605       ), ...
+R/create_limma_report.R#L606       Alpha = ifelse( ...
+R/create_limma_report.R#L610       ) ...
+R/create_limma_report.R#L613   # Create a named vector for the colors ...
+R/create_limma_report.R#L614   colors <- c("blue", "darkgrey") |> ...
+R/create_limma_report.R#L616       compared_levels[2], ...
+R/create_limma_report.R#L617       compared_levels[1] ...
+R/create_limma_report.R#L620   # Calculate the number of hits ...
+R/create_limma_report.R#L621   num_hits <- sum(top_table$adj.P.Val <  ...
+R/create_limma_report.R#L622   total_tests <- nrow(top_table) ...
+R/create_limma_report.R#L623   percent_hits <- (num_hits / total_test ...
+R/create_limma_report.R#L625   volcano_plot <- ggplot2::ggplot( ...
+R/create_limma_report.R#L628       x = logFC, ...
+R/create_limma_report.R#L629       y = -log10(adj.P.Val), ...
+R/create_limma_report.R#L630       color = .data$Regulation, ...
+R/create_limma_report.R#L631       alpha = .data$Alpha ...
+R/create_limma_report.R#L633   ) + ...
+R/create_limma_report.R#L636       "rect", ...
+R/create_limma_report.R#L637       xmin = -Inf, ...
+R/create_limma_report.R#L638       xmax = Inf, ...
+R/create_limma_report.R#L639       ymin = 0, ...
+R/create_limma_report.R#L640       ymax = -log10(adj_pthresh), ...
+R/create_limma_report.R#L641       fill = "gray90" # Light gray color ...
+R/create_limma_report.R#L646       title = paste( ...
+R/create_limma_report.R#L651       ), ...
+R/create_limma_report.R#L652       x = paste( ...
+R/create_limma_report.R#L659       ), ...
+R/create_limma_report.R#L660       y = "-Log10 Adjusted P-value" ...
+R/create_limma_report.R#L664       yintercept = -log10(adj_pthresh), ...
+R/create_limma_report.R#L665       linetype = "dashed", ...
+R/create_limma_report.R#L666       color = "red" ...
+R/create_limma_report.R#L670       geom = "text", ...
+R/create_limma_report.R#L671       x = Inf, ...
+R/create_limma_report.R#L672       y = -log10(adj_pthresh), ...
+R/create_limma_report.R#L673       label = paste( ...
+R/create_limma_report.R#L676       ), ...
+R/create_limma_report.R#L677       hjust = 1.1, ...
+R/create_limma_report.R#L678       vjust = -1.5, ...
+R/create_limma_report.R#L679       color = "red" ...
+R/create_limma_report.R#L682       values = colors ...
+R/create_limma_report.R#L685       range = c(0.5, 1) ...
+R/create_limma_report.R#L688       geom = "text", ...
+R/create_limma_report.R#L689       x = max(top_table$logFC) * 0.8, ...
+R/create_limma_report.R#L690       y = Inf, ...
+R/create_limma_report.R#L691       label = paste( ...
+R/create_limma_report.R#L694       ), ...
+R/create_limma_report.R#L695       hjust = 1.1, ...
+R/create_limma_report.R#L696       vjust = 1.1, ...
+R/create_limma_report.R#L697       color = "blue", ...
+R/create_limma_report.R#L698       size = 3 ...
+R/create_limma_report.R#L701       geom = "text", ...
+R/create_limma_report.R#L702       x = min(top_table$logFC) * 0.8, ...
+R/create_limma_report.R#L703       y = Inf, ...
+R/create_limma_report.R#L704       label = paste( ...
+R/create_limma_report.R#L707       ), ...
+R/create_limma_report.R#L708       hjust = -0.1, ...
+R/create_limma_report.R#L709       vjust = 1.1, ...
+R/create_limma_report.R#L710       color = "darkgrey", ...
+R/create_limma_report.R#L711       size = 3 ...
+R/create_limma_report.R#L714       geom = "text", ...
+R/create_limma_report.R#L715       x = 0, ...
+R/create_limma_report.R#L716       y = Inf, ...
+R/create_limma_report.R#L717       label = paste( ...
+R/create_limma_report.R#L721       ), ...
+R/create_limma_report.R#L722       hjust = 0.5, ...
+R/create_limma_report.R#L723       vjust = 3, ...
+R/create_limma_report.R#L724       color = "black", ...
+R/create_limma_report.R#L725       size = 3 ...
+R/create_limma_report.R#L728       legend.position = "none" ...
+R/create_limma_report.R#L731   return(volcano_plot) ...
+R/create_limma_report.R#L749   pattern <- paste0("^", prefix) ...
+R/create_limma_report.R#L750   result <- sub(pattern, "", string) ...
+R/download_enrichr_databases.R#L33   # Control the user inputs ...
+R/download_enrichr_databases.R#L34   if (!is.character(gene_set_lib) || len ...
+R/download_enrichr_databases.R#L36   } ...
+R/download_enrichr_databases.R#L38   # Control the filename input (must be  ...
+R/download_enrichr_databases.R#L39   if (!is.null(filename) && ...
+R/download_enrichr_databases.R#L41       length(filename) != 1)) { ...
+R/download_enrichr_databases.R#L43   } ...
+R/download_enrichr_databases.R#L45   # Control the inputs ...
+R/download_enrichr_databases.R#L46   args <- lapply(as.list(match.call()[-1 ...
+R/download_enrichr_databases.R#L47   check_null_elements(args) ...
+R/download_enrichr_databases.R#L48   input_control <- InputControl$new(args ...
+R/download_enrichr_databases.R#L49   input_control$auto_validate() ...
+R/download_enrichr_databases.R#L51   genesets <- enrichr_get_genesets(datab ...
+R/download_enrichr_databases.R#L53   genesets <- do.call(rbind, lapply(name ...
+R/download_enrichr_databases.R#L55       tibble::tibble( ...
+R/download_enrichr_databases.R#L59       ) ...
+R/download_enrichr_databases.R#L61   })) ...
+R/download_enrichr_databases.R#L63   genesets <- genesets |> ...
+R/download_enrichr_databases.R#L66   dir.create( ...
+R/download_enrichr_databases.R#L70   ) ...
+R/download_enrichr_databases.R#L72   # Create filename if not specified ...
+R/download_enrichr_databases.R#L73   if (is.null(filename)) { ...
+R/download_enrichr_databases.R#L75       Sys.time(), ...
+R/download_enrichr_databases.R#L76       "%d_%m_%Y-%H_%M_%S" ...
+R/download_enrichr_databases.R#L79       "all_databases_", ...
+R/download_enrichr_databases.R#L80       timestamp, ".tsv" ...
+R/download_enrichr_databases.R#L82   } ...
+R/download_enrichr_databases.R#L84   filename_path <- here::here( ...
+R/download_enrichr_databases.R#L87   ) ...
+R/download_enrichr_databases.R#L89   utils::write.table( ...
+R/download_enrichr_databases.R#L96   ) ...
+R/download_enrichr_databases.R#L98   message("Download complete! The file h ...
+R/download_enrichr_databases.R#L100   return(invisible(filename_path)) ...
+R/download_enrichr_databases.R#L122   pb <- create_progress_bar( ...
+R/download_enrichr_databases.R#L125   ) ...
+R/download_enrichr_databases.R#L127   setNames(lapply(databases, function(db ...
+R/download_enrichr_databases.R#L132       "http://amp.pharm.mssm.edu/Enrichr ...
+R/download_enrichr_databases.R#L133       "mode=text&libraryName=", ...
+R/download_enrichr_databases.R#L134       dbx ...
+R/download_enrichr_databases.R#L139       { ...
+R/download_enrichr_databases.R#L141       }, ...
+R/download_enrichr_databases.R#L142       error = function(e) { ...
+R/download_enrichr_databases.R#L145       } ...
+R/download_enrichr_databases.R#L150       return(list()) ...
+R/download_enrichr_databases.R#L152       res <- strsplit(dblines, "\t") ...
+R/download_enrichr_databases.R#L153       names(res) <- vapply(res, function ...
+R/download_enrichr_databases.R#L154       res <- lapply(res, function(x) x[3 ...
+R/download_enrichr_databases.R#L155       return(res) ...
+R/download_enrichr_databases.R#L157   }), databases) ...
+R/explore_data.R#L28   report_dir <- normalizePath( ...
+R/explore_data.R#L31   ) ...
+R/explore_data.R#L33   check_splineomics_elements( ...
+R/explore_data.R#L36   ) ...
+R/explore_data.R#L38   # Control the function arguments ...
+R/explore_data.R#L39   args <- lapply(as.list(match.call()[-1 ...
+R/explore_data.R#L40   check_null_elements(args) ...
+R/explore_data.R#L41   input_control <- InputControl$new(args ...
+R/explore_data.R#L42   input_control$auto_validate() ...
+R/explore_data.R#L45   data <- splineomics[["data"]] ...
+R/explore_data.R#L46   meta <- splineomics[["meta"]] ...
+R/explore_data.R#L47   annotation <- splineomics[["annotation ...
+R/explore_data.R#L48   report_info <- splineomics[["report_in ...
+R/explore_data.R#L49   condition <- splineomics[["condition"] ...
 R/explore_data.R#L50   report_info <- splineomics[["report_in ...
-R/explore_data.R#L51   condition <- splineomics[["condition"] ...
-R/explore_data.R#L52   report_info <- splineomics[["report_in ...
-R/explore_data.R#L53   meta_batch_column <- splineomics[["met ...
-R/explore_data.R#L54   meta_batch2_column <- splineomics[["me ...
-R/explore_data.R#L56   data_list <- list(data = data) ...
-R/explore_data.R#L57    ...
-R/explore_data.R#L58   if (!is.null(meta_batch_column)) { ...
-R/explore_data.R#L61       x = data, ...
-R/explore_data.R#L62       batch = meta[[meta_batch_column]], ...
-R/explore_data.R#L63       group = meta[[condition]] ...
-R/explore_data.R#L67       args$batch2 <- meta[[meta_batch2_c ...
-R/explore_data.R#L73   } ...
-R/explore_data.R#L74    ...
-R/explore_data.R#L75   all_plots <- list() ...
-R/explore_data.R#L76   report_info$meta_condition <- c(condit ...
-R/explore_data.R#L77   report_info$meta_batch <- paste( ...
-R/explore_data.R#L82   timestamp = format(Sys.time(), "%d_%m_ ...
-R/explore_data.R#L84   for (data_name in names(data_list)) { ...
-R/explore_data.R#L88       current_data,  ...
-R/explore_data.R#L89       meta,  ...
-R/explore_data.R#L90       condition ...
-R/explore_data.R#L91       ) ...
-R/explore_data.R#L94       generate_report_html( ...
-R/explore_data.R#L107   } ...
-R/explore_data.R#L108    ...
-R/explore_data.R#L109   print_info_message( ...
-R/explore_data.R#L112   ) ...
-R/explore_data.R#L114   return(all_plots) ...
-R/explore_data.R#L145    ...
-R/explore_data.R#L146   meta[[condition]] <- as.factor(meta[[c ...
-R/explore_data.R#L147    ...
-R/explore_data.R#L148   plot_functions_and_sizes <- list( ...
-R/explore_data.R#L158   ) ...
-R/explore_data.R#L159    ...
-R/explore_data.R#L160   apply_plot_function <- function(entry) ...
-R/explore_data.R#L163          flatten = if ("flatten" %in% na ...
-R/explore_data.R#L164   } ...
-R/explore_data.R#L165    ...
-R/explore_data.R#L166   plot_results <- lapply(plot_functions_ ...
-R/explore_data.R#L168   all_plots <- list() ...
-R/explore_data.R#L169   all_plots_sizes <- c() ...
-R/explore_data.R#L170    ...
-R/explore_data.R#L171   # Flatten the results and sizes condit ...
-R/explore_data.R#L172   for (result in plot_results) { ...
-R/explore_data.R#L178       # Special handling for make_correl ...
-R/explore_data.R#L179       all_plots <- c(all_plots, result$p ...
-R/explore_data.R#L180       all_plots_sizes <- c(all_plots_siz ...
-R/explore_data.R#L182       # Do not flatten the result, add i ...
-R/explore_data.R#L183       all_plots <- c(all_plots, list(res ...
-R/explore_data.R#L184       all_plots_sizes <- c(all_plots_siz ...
-R/explore_data.R#L186       # Flatten the result ...
-R/explore_data.R#L187       all_plots <- c(all_plots, result$p ...
-R/explore_data.R#L188       all_plots_sizes <- c( ...
-R/explore_data.R#L191           result$size, ...
-R/explore_data.R#L192           length(result$plots) ...
-R/explore_data.R#L193           ) ...
-R/explore_data.R#L196   } ...
-R/explore_data.R#L198   list( ...
-R/explore_data.R#L235   html_content <- paste(header_section,  ...
-R/explore_data.R#L236    ...
-R/explore_data.R#L237   toc <- create_toc() ...
-R/explore_data.R#L238    ...
-R/explore_data.R#L239   styles <- define_html_styles() ...
-R/explore_data.R#L240   section_header_style <- styles$section ...
-R/explore_data.R#L241   toc_style <- styles$toc_style ...
-R/explore_data.R#L242    ...
-R/explore_data.R#L243   just_plots <- plots |> purrr::discard( ...
-R/explore_data.R#L244   pb <- create_progress_bar(just_plots) ...
-R/explore_data.R#L245    ...
-R/explore_data.R#L246   plot_names <- c( ...
-R/explore_data.R#L257    ...
-R/explore_data.R#L258   plot_explanations <- get_explore_plots ...
-R/explore_data.R#L259    ...
-R/explore_data.R#L260   major_headers <- c( ...
-R/explore_data.R#L266   major_header_style <-  ...
-R/explore_data.R#L268    ...
-R/explore_data.R#L269   toc_index <- 0 ...
-R/explore_data.R#L270   toc_index_memory <- toc_index ...
-R/explore_data.R#L271   major_header_index <- 0 ...
-R/explore_data.R#L272    ...
-R/explore_data.R#L273   # Generate the sections and plots ...
-R/explore_data.R#L274   for (index in seq_along(plots)) { ...
-R/explore_data.R#L277        ...
-R/explore_data.R#L278       toc_index <- toc_index + 1 ...
-R/explore_data.R#L279        ...
-R/explore_data.R#L280       if ( ...
-R/explore_data.R#L289           "section_major_", ...
-R/explore_data.R#L290           major_header_index ...
-R/explore_data.R#L291           ) ...
-R/explore_data.R#L293           toc,  ...
-R/explore_data.R#L294           sprintf( ...
-R/explore_data.R#L299            ),  ...
-R/explore_data.R#L300           sep = "\n" ...
-R/explore_data.R#L301           ) ...
-R/explore_data.R#L305           '<div style="text-align: cente ...
-R/explore_data.R#L306           style="%s">%s</h1></div>', ...
-R/explore_data.R#L307           section_id,  ...
-R/explore_data.R#L308           major_header_style,  ...
-R/explore_data.R#L309           major_headers[major_header_ind ...
-R/explore_data.R#L310           ) ...
-R/explore_data.R#L313           group_header <- paste( ...
-R/explore_data.R#L323           html_content, ...
-R/explore_data.R#L324           group_header, ...
-R/explore_data.R#L325           sep = "\n" ...
-R/explore_data.R#L326           ) ...
-R/explore_data.R#L327       } ...
-R/explore_data.R#L328       next ...
-R/explore_data.R#L330    ...
-R/explore_data.R#L333        ...
-R/explore_data.R#L334       section_id <- paste0("section_", t ...
-R/explore_data.R#L335       toc <-  ...
-R/explore_data.R#L337           toc,  ...
-R/explore_data.R#L338           sprintf( ...
-R/explore_data.R#L340               '<li style="margin-left: 2 ...
-R/explore_data.R#L341               '<a href="#%s">%s</a></li> ...
-R/explore_data.R#L345           sep = "\n" ...
-R/explore_data.R#L346           ) ...
-R/explore_data.R#L347        ...
-R/explore_data.R#L348       section_header <- sprintf( ...
-R/explore_data.R#L354        ...
-R/explore_data.R#L355       plot_description <- sprintf( ...
-R/explore_data.R#L359        ...
-R/explore_data.R#L360       html_content <- paste( ...
-R/explore_data.R#L366        ...
-R/explore_data.R#L367       toc_index_memory <- toc_index ...
-R/explore_data.R#L376       html_content, ...
-R/explore_data.R#L377       img_tag, ...
-R/explore_data.R#L378       "<hr>",  # Add horizontal line aft ...
-R/explore_data.R#L379       sep = "\n" ...
-R/explore_data.R#L380       ) ...
-R/explore_data.R#L382   } ...
-R/explore_data.R#L383    ...
-R/explore_data.R#L384   generate_and_write_html( ...
-R/explore_data.R#L389   ) ...
-R/explore_data.R#L417    ...
-R/explore_data.R#L418   custom_theme <- ggplot2::theme( ...
-R/explore_data.R#L424   ) ...
-R/explore_data.R#L425    ...
-R/explore_data.R#L426   density_plots <- list() ...
-R/explore_data.R#L428   # Melt the data to long format using t ...
-R/explore_data.R#L429   data_long <- tidyr::pivot_longer( ...
-R/explore_data.R#L434   ) ...
-R/explore_data.R#L435    ...
-R/explore_data.R#L436    ...
-R/explore_data.R#L437   if (length(unique(meta[[condition]]))  ...
-R/explore_data.R#L440       data_long,  ...
-R/explore_data.R#L441       ggplot2::aes(x = !!rlang::sym("val ...
-R/explore_data.R#L442       ) + ...
-R/explore_data.R#L443       ggplot2::geom_density( ...
-R/explore_data.R#L447       ggplot2::ggtitle("All Levels") + ...
-R/explore_data.R#L448       custom_theme ...
-R/explore_data.R#L451       density_plots, ...
-R/explore_data.R#L452       list(overall_plot) ...
-R/explore_data.R#L453       ) ...
-R/explore_data.R#L454   } ...
-R/explore_data.R#L455    ...
-R/explore_data.R#L456    ...
-R/explore_data.R#L457   # Create density plots for each level  ...
-R/explore_data.R#L458   levels <- unique(meta[[condition]]) ...
-R/explore_data.R#L459    ...
-R/explore_data.R#L460   for (level in levels) { ...
-R/explore_data.R#L468       as.data.frame(data_level), ...
-R/explore_data.R#L469       cols = everything(), ...
-R/explore_data.R#L470       names_to = "variable", ...
-R/explore_data.R#L471       values_to = "value" ...
-R/explore_data.R#L476       data_level_long,  ...
-R/explore_data.R#L477       ggplot2::aes(x = !!rlang::sym("val ...
-R/explore_data.R#L478       ) + ...
-R/explore_data.R#L479       ggplot2::geom_density(fill = "blue ...
-R/explore_data.R#L480       ggplot2::ggtitle(paste("Level:", l ...
-R/explore_data.R#L481       custom_theme ...
-R/explore_data.R#L485       density_plots, ...
-R/explore_data.R#L486       list(level_plot) ...
-R/explore_data.R#L487       ) ...
-R/explore_data.R#L488   } ...
-R/explore_data.R#L489    ...
-R/explore_data.R#L490   return(density_plots) ...
-R/explore_data.R#L516    ...
-R/explore_data.R#L517   custom_theme <- ggplot2::theme( ...
-R/explore_data.R#L523   ) ...
-R/explore_data.R#L524    ...
-R/explore_data.R#L525   plots <- list() ...
-R/explore_data.R#L526    ...
-R/explore_data.R#L527   # Create plots for each level of the c ...
-R/explore_data.R#L528   levels <- unique(meta[[condition]]) ...
-R/explore_data.R#L529    ...
-R/explore_data.R#L530   for (level in levels) { ...
-R/explore_data.R#L538       as.data.frame(data_level), ...
-R/explore_data.R#L539       cols = everything(), ...
-R/explore_data.R#L540       names_to = "variable", ...
-R/explore_data.R#L541       values_to = "value" ...
-R/explore_data.R#L546                                   ggplot ...
-R/explore_data.R#L547                                          ...
-R/explore_data.R#L548       ggplot2::geom_violin(trim = FALSE, ...
-R/explore_data.R#L549       ggplot2::geom_boxplot(width = 0.1, ...
-R/explore_data.R#L551       ggplot2::theme(axis.text.x = ggplo ...
-R/explore_data.R#L552                                          ...
-R/explore_data.R#L553                      plot.margin = grid: ...
-R/explore_data.R#L554       ggplot2::labs(x = "Timepoint", y = ...
-R/explore_data.R#L556       custom_theme ...
-R/explore_data.R#L560   } ...
-R/explore_data.R#L561    ...
-R/explore_data.R#L562   return(plots) ...
-R/explore_data.R#L591   plot_list <- list() ...
-R/explore_data.R#L592    ...
-R/explore_data.R#L593   # Loop through each level of the condi ...
-R/explore_data.R#L594   for (cond in unique(meta[[condition]]) ...
-R/explore_data.R#L602       cor(feature, time_subset, use = "c ...
-R/explore_data.R#L607       rownames(data) <- paste0("Feature" ...
-R/explore_data.R#L611       Feature = rownames(data), ...
-R/explore_data.R#L612       Correlation = correlations ...
-R/explore_data.R#L613       ) ...
-R/explore_data.R#L617       ggplot2::geom_histogram(binwidth = ...
-R/explore_data.R#L618                               color = "b ...
-R/explore_data.R#L619       ggplot2::theme_minimal() + ...
-R/explore_data.R#L620       ggplot2::labs(title = paste("Level ...
-R/explore_data.R#L621            x = "Correlation with Time", ...
-R/explore_data.R#L622            y = "Count of Features") ...
-R/explore_data.R#L626   } ...
-R/explore_data.R#L627    ...
-R/explore_data.R#L628   return(plot_list) ...
-R/explore_data.R#L660    ...
-R/explore_data.R#L661   # Initialize a list to store the plots ...
-R/explore_data.R#L662   plot_list <- list() ...
-R/explore_data.R#L663    ...
-R/explore_data.R#L664   # Loop through each level of the condi ...
-R/explore_data.R#L665   for (cond in unique(meta[[condition]]) ...
-R/explore_data.R#L673       # Compute first lag difference ...
-R/explore_data.R#L674       lag_diff <- diff(feature) ...
-R/explore_data.R#L675       # Compute autocorrelation ...
-R/explore_data.R#L676       stats::acf(lag_diff, plot = FALSE) ...
-R/explore_data.R#L685       Feature = 1:nrow(data), ...
-R/explore_data.R#L686       Autocorrelation = autocorrelations ...
-R/explore_data.R#L687       ) ...
-R/explore_data.R#L691       ggplot2::geom_histogram(binwidth = ...
-R/explore_data.R#L692                               color = "b ...
-R/explore_data.R#L693       ggplot2::theme_minimal() + ...
-R/explore_data.R#L694       ggplot2::theme( ...
-R/explore_data.R#L700       ) + ...
-R/explore_data.R#L701       ggplot2::labs(title = paste("Level ...
-R/explore_data.R#L702            x = "Autocorrelation Coeffici ...
-R/explore_data.R#L703            y = "Count of Features", ...
-R/explore_data.R#L704            subtitle = paste("Mean:", rou ...
-R/explore_data.R#L709   } ...
-R/explore_data.R#L710    ...
-R/explore_data.R#L711   return(plot_list) ...
-R/explore_data.R#L743    ...
+R/explore_data.R#L51   meta_batch_column <- splineomics[["met ...
+R/explore_data.R#L52   meta_batch2_column <- splineomics[["me ...
+R/explore_data.R#L54   data_list <- list(data = data) ...
+R/explore_data.R#L56   if (!is.null(meta_batch_column)) { ...
+R/explore_data.R#L58       x = data, ...
+R/explore_data.R#L59       batch = meta[[meta_batch_column]], ...
+R/explore_data.R#L60       group = meta[[condition]] ...
+R/explore_data.R#L64       args$batch2 <- meta[[meta_batch2_c ...
+R/explore_data.R#L70   } ...
+R/explore_data.R#L72   all_plots <- list() ...
+R/explore_data.R#L73   report_info$meta_condition <- c(condit ...
+R/explore_data.R#L74   report_info$meta_batch <- paste( ...
+R/explore_data.R#L78   ) ...
+R/explore_data.R#L79   timestamp <- format(Sys.time(), "%d_%m ...
+R/explore_data.R#L81   for (data_name in names(data_list)) { ...
+R/explore_data.R#L84       current_data, ...
+R/explore_data.R#L85       meta, ...
+R/explore_data.R#L86       condition ...
+R/explore_data.R#L90       generate_report_html( ...
+R/explore_data.R#L99       ) ...
+R/explore_data.R#L103   } ...
+R/explore_data.R#L105   print_info_message( ...
+R/explore_data.R#L108   ) ...
+R/explore_data.R#L110   return(all_plots) ...
+R/explore_data.R#L140   meta[[condition]] <- as.factor(meta[[c ...
+R/explore_data.R#L142   plot_functions_and_sizes <- list( ...
+R/explore_data.R#L152   ) ...
+R/explore_data.R#L154   apply_plot_function <- function(entry) ...
+R/explore_data.R#L157       plots = plot_result, size = entry$ ...
+R/explore_data.R#L158       flatten = if ("flatten" %in% names ...
+R/explore_data.R#L160   } ...
+R/explore_data.R#L162   plot_results <- lapply(plot_functions_ ...
+R/explore_data.R#L164   all_plots <- list() ...
+R/explore_data.R#L165   all_plots_sizes <- c() ...
+R/explore_data.R#L167   # Flatten the results and sizes condit ...
+R/explore_data.R#L168   for (result in plot_results) { ...
+R/explore_data.R#L173       # Special handling for make_correl ...
+R/explore_data.R#L174       all_plots <- c(all_plots, result$p ...
+R/explore_data.R#L175       all_plots_sizes <- c(all_plots_siz ...
+R/explore_data.R#L177       # Do not flatten the result, add i ...
+R/explore_data.R#L178       all_plots <- c(all_plots, list(res ...
+R/explore_data.R#L179       all_plots_sizes <- c(all_plots_siz ...
+R/explore_data.R#L181       # Flatten the result ...
+R/explore_data.R#L182       all_plots <- c(all_plots, result$p ...
+R/explore_data.R#L183       all_plots_sizes <- c( ...
+R/explore_data.R#L186           result$size, ...
+R/explore_data.R#L187           length(result$plots) ...
+R/explore_data.R#L189       ) ...
+R/explore_data.R#L191   } ...
+R/explore_data.R#L193   list( ...
+R/explore_data.R#L196   ) ...
+R/explore_data.R#L228   html_content <- paste(header_section,  ...
+R/explore_data.R#L230   toc <- create_toc() ...
+R/explore_data.R#L232   styles <- define_html_styles() ...
+R/explore_data.R#L233   section_header_style <- styles$section ...
+R/explore_data.R#L234   toc_style <- styles$toc_style ...
+R/explore_data.R#L236   just_plots <- plots |> purrr::discard( ...
+R/explore_data.R#L237   pb <- create_progress_bar(just_plots) ...
+R/explore_data.R#L239   plot_names <- c( ...
+R/explore_data.R#L249   ) ...
+R/explore_data.R#L251   plot_explanations <- get_explore_plots ...
+R/explore_data.R#L253   major_headers <- c( ...
+R/explore_data.R#L257   ) ...
+R/explore_data.R#L259   major_header_style <- ...
+R/explore_data.R#L262   toc_index <- 0 ...
+R/explore_data.R#L263   toc_index_memory <- toc_index ...
+R/explore_data.R#L264   major_header_index <- 0 ...
+R/explore_data.R#L266   # Generate the sections and plots ...
+R/explore_data.R#L267   for (index in seq_along(plots)) { ...
+R/explore_data.R#L270       toc_index <- toc_index + 1 ...
+R/explore_data.R#L272       if ( ...
+R/explore_data.R#L274           toc_index == 3 || ...
+R/explore_data.R#L275           toc_index == 6 ...
+R/explore_data.R#L276       ) { ...
+R/explore_data.R#L280           "section_major_", ...
+R/explore_data.R#L281           major_header_index ...
+R/explore_data.R#L284           toc, ...
+R/explore_data.R#L285           sprintf( ...
+R/explore_data.R#L290           ), ...
+R/explore_data.R#L291           sep = "\n" ...
+R/explore_data.R#L295           '<div style="text-align: cente ...
+R/explore_data.R#L296           style="%s">%s</h1></div>', ...
+R/explore_data.R#L297           section_id, ...
+R/explore_data.R#L298           major_header_style, ...
+R/explore_data.R#L299           major_headers[major_header_ind ...
+R/explore_data.R#L303           group_header <- paste( ...
+R/explore_data.R#L309           ) ...
+R/explore_data.R#L313           html_content, ...
+R/explore_data.R#L314           group_header, ...
+R/explore_data.R#L315           sep = "\n" ...
+R/explore_data.R#L317       } ...
+R/explore_data.R#L318       next ...
+R/explore_data.R#L323       section_id <- paste0("section_", t ...
+R/explore_data.R#L324       toc <- ...
+R/explore_data.R#L326           toc, ...
+R/explore_data.R#L327           sprintf( ...
+R/explore_data.R#L329               '<li style="margin-left: 2 ...
+R/explore_data.R#L330               '<a href="#%s">%s</a></li> ...
+R/explore_data.R#L334           ), ...
+R/explore_data.R#L335           sep = "\n" ...
+R/explore_data.R#L338       section_header <- sprintf( ...
+R/explore_data.R#L343       ) ...
+R/explore_data.R#L345       plot_description <- sprintf( ...
+R/explore_data.R#L348       ) ...
+R/explore_data.R#L350       html_content <- paste( ...
+R/explore_data.R#L355       ) ...
+R/explore_data.R#L357       toc_index_memory <- toc_index ...
+R/explore_data.R#L366       html_content, ...
+R/explore_data.R#L367       img_tag, ...
+R/explore_data.R#L368       "<hr>", # Add horizontal line afte ...
+R/explore_data.R#L369       sep = "\n" ...
+R/explore_data.R#L372   } ...
+R/explore_data.R#L374   generate_and_write_html( ...
+R/explore_data.R#L379   ) ...
+R/explore_data.R#L406   custom_theme <- ggplot2::theme( ...
+R/explore_data.R#L412   ) ...
+R/explore_data.R#L414   density_plots <- list() ...
+R/explore_data.R#L416   # Melt the data to long format using t ...
+R/explore_data.R#L417   data_long <- tidyr::pivot_longer( ...
+R/explore_data.R#L422   ) ...
+R/explore_data.R#L425   if (length(unique(meta[[condition]]))  ...
+R/explore_data.R#L428       data_long, ...
+R/explore_data.R#L429       ggplot2::aes(x = !!rlang::sym("val ...
+R/explore_data.R#L431       ggplot2::geom_density( ...
+R/explore_data.R#L434       ) + ...
+R/explore_data.R#L435       ggplot2::ggtitle("All Levels") + ...
+R/explore_data.R#L436       custom_theme ...
+R/explore_data.R#L439       density_plots, ...
+R/explore_data.R#L440       list(overall_plot) ...
+R/explore_data.R#L442   } ...
+R/explore_data.R#L445   # Create density plots for each level  ...
+R/explore_data.R#L446   levels <- unique(meta[[condition]]) ...
+R/explore_data.R#L448   for (level in levels) { ...
+R/explore_data.R#L455       as.data.frame(data_level), ...
+R/explore_data.R#L456       cols = everything(), ...
+R/explore_data.R#L457       names_to = "variable", ...
+R/explore_data.R#L458       values_to = "value" ...
+R/explore_data.R#L463       data_level_long, ...
+R/explore_data.R#L464       ggplot2::aes(x = !!rlang::sym("val ...
+R/explore_data.R#L466       ggplot2::geom_density(fill = "blue ...
+R/explore_data.R#L467       ggplot2::ggtitle(paste("Level:", l ...
+R/explore_data.R#L468       custom_theme ...
+R/explore_data.R#L472       density_plots, ...
+R/explore_data.R#L473       list(level_plot) ...
+R/explore_data.R#L475   } ...
+R/explore_data.R#L477   return(density_plots) ...
+R/explore_data.R#L502   custom_theme <- ggplot2::theme( ...
+R/explore_data.R#L508   ) ...
+R/explore_data.R#L510   plots <- list() ...
+R/explore_data.R#L512   # Create plots for each level of the c ...
+R/explore_data.R#L513   levels <- unique(meta[[condition]]) ...
+R/explore_data.R#L515   for (level in levels) { ...
+R/explore_data.R#L522       as.data.frame(data_level), ...
+R/explore_data.R#L523       cols = everything(), ...
+R/explore_data.R#L524       names_to = "variable", ...
+R/explore_data.R#L525       values_to = "value" ...
+R/explore_data.R#L530       data_level_long, ...
+R/explore_data.R#L531       ggplot2::aes( ...
+R/explore_data.R#L534       ) ...
+R/explore_data.R#L536       ggplot2::geom_violin(trim = FALSE, ...
+R/explore_data.R#L537       ggplot2::geom_boxplot( ...
+R/explore_data.R#L540       ) + ...
+R/explore_data.R#L541       ggplot2::theme( ...
+R/explore_data.R#L543           angle = 60, hjust = 1, ...
+R/explore_data.R#L544           size = 6 ...
+R/explore_data.R#L547       ) + ...
+R/explore_data.R#L548       ggplot2::labs( ...
+R/explore_data.R#L551       ) + ...
+R/explore_data.R#L552       custom_theme ...
+R/explore_data.R#L556   } ...
+R/explore_data.R#L558   return(plots) ...
+R/explore_data.R#L585   plot_list <- list() ...
+R/explore_data.R#L587   # Loop through each level of the condi ...
+R/explore_data.R#L588   for (cond in unique(meta[[condition]]) ...
+R/explore_data.R#L596       cor(feature, time_subset, use = "c ...
+R/explore_data.R#L601       rownames(data) <- paste0("Feature" ...
+R/explore_data.R#L605       Feature = rownames(data), ...
+R/explore_data.R#L606       Correlation = correlations ...
+R/explore_data.R#L611       ggplot2::geom_histogram( ...
+R/explore_data.R#L614       ) + ...
+R/explore_data.R#L615       ggplot2::theme_minimal() + ...
+R/explore_data.R#L616       ggplot2::labs( ...
+R/explore_data.R#L620       ) ...
+R/explore_data.R#L624   } ...
+R/explore_data.R#L626   return(plot_list) ...
+R/explore_data.R#L657   # Initialize a list to store the plots ...
+R/explore_data.R#L658   plot_list <- list() ...
+R/explore_data.R#L660   # Loop through each level of the condi ...
+R/explore_data.R#L661   for (cond in unique(meta[[condition]]) ...
+R/explore_data.R#L669       # Compute first lag difference ...
+R/explore_data.R#L670       lag_diff <- diff(feature) ...
+R/explore_data.R#L671       # Compute autocorrelation ...
+R/explore_data.R#L672       stats::acf(lag_diff, plot = FALSE) ...
+R/explore_data.R#L681       Feature = 1:nrow(data), ...
+R/explore_data.R#L682       Autocorrelation = autocorrelations ...
+R/explore_data.R#L687       ggplot2::geom_histogram( ...
+R/explore_data.R#L690       ) + ...
+R/explore_data.R#L691       ggplot2::theme_minimal() + ...
+R/explore_data.R#L692       ggplot2::theme( ...
+R/explore_data.R#L698       ) + ...
+R/explore_data.R#L699       ggplot2::labs( ...
+R/explore_data.R#L704           "Mean:", round(mean_autocorrel ...
+R/explore_data.R#L705           "SD:", round(std_autocorrelati ...
+R/explore_data.R#L707       ) ...
+R/explore_data.R#L711   } ...
+R/explore_data.R#L713   return(plot_list) ...
 R/explore_data.R#L744   plot_list <- list() ...
-R/explore_data.R#L745    ...
 R/explore_data.R#L746   # Loop through each level of the condi ...
 R/explore_data.R#L747   for (cond in unique(meta[[condition]]) ...
-R/explore_data.R#L755                                   abs(di ...
-R/explore_data.R#L760       data_subset, ...
-R/explore_data.R#L761       1, ...
-R/explore_data.R#L762       mean, ...
-R/explore_data.R#L763       na.rm = TRUE ...
-R/explore_data.R#L764       ) ...
-R/explore_data.R#L770       normalized_lag1_differences, ...
-R/explore_data.R#L771       1, ...
-R/explore_data.R#L772       mean, ...
-R/explore_data.R#L773       na.rm = TRUE ...
-R/explore_data.R#L774       ) ...
-R/explore_data.R#L777       normalized_lag1_differences, ...
-R/explore_data.R#L778       1, ...
-R/explore_data.R#L779       stats::sd, ...
-R/explore_data.R#L780       na.rm = TRUE ...
-R/explore_data.R#L781       ) ...
-R/explore_data.R#L785       Feature = 1:nrow(data), ...
-R/explore_data.R#L786       Mean_Lag1_Difference = mean_lag1_d ...
-R/explore_data.R#L787       Std_Lag1_Difference = std_lag1_dif ...
-R/explore_data.R#L792       diff_data, ...
-R/explore_data.R#L793       aes(x = .data$Mean_Lag1_Difference ...
-R/explore_data.R#L794       ) + ...
-R/explore_data.R#L795       ggplot2::geom_histogram( ...
-R/explore_data.R#L800       ggplot2::theme_minimal() + ...
-R/explore_data.R#L801       ggplot2::theme( ...
-R/explore_data.R#L807       ) + ...
-R/explore_data.R#L808       ggplot2::labs( ...
-R/explore_data.R#L813           "Mean:",  ...
-R/explore_data.R#L814           round(mean(mean_lag1_diff, na. ...
-R/explore_data.R#L815           "SD:", round(stats::sd(mean_la ...
-R/explore_data.R#L816           ) ...
-R/explore_data.R#L820   } ...
-R/explore_data.R#L821    ...
-R/explore_data.R#L822   return(plot_list) ...
-R/explore_data.R#L852    ...
+R/explore_data.R#L754       data_subset, 1, ...
+R/explore_data.R#L755       function(feature) { ...
+R/explore_data.R#L757       } ...
+R/explore_data.R#L762       data_subset, ...
+R/explore_data.R#L763       1, ...
+R/explore_data.R#L764       mean, ...
+R/explore_data.R#L765       na.rm = TRUE ...
+R/explore_data.R#L772       normalized_lag1_differences, ...
+R/explore_data.R#L773       1, ...
+R/explore_data.R#L774       mean, ...
+R/explore_data.R#L775       na.rm = TRUE ...
+R/explore_data.R#L779       normalized_lag1_differences, ...
+R/explore_data.R#L780       1, ...
+R/explore_data.R#L781       stats::sd, ...
+R/explore_data.R#L782       na.rm = TRUE ...
+R/explore_data.R#L787       Feature = 1:nrow(data), ...
+R/explore_data.R#L788       Mean_Lag1_Difference = mean_lag1_d ...
+R/explore_data.R#L789       Std_Lag1_Difference = std_lag1_dif ...
+R/explore_data.R#L794       diff_data, ...
+R/explore_data.R#L795       aes(x = .data$Mean_Lag1_Difference ...
+R/explore_data.R#L797       ggplot2::geom_histogram( ...
+R/explore_data.R#L801       ) + ...
+R/explore_data.R#L802       ggplot2::theme_minimal() + ...
+R/explore_data.R#L803       ggplot2::theme( ...
+R/explore_data.R#L809       ) + ...
+R/explore_data.R#L810       ggplot2::labs( ...
+R/explore_data.R#L815           "Mean:", ...
+R/explore_data.R#L816           round(mean(mean_lag1_diff, na. ...
+R/explore_data.R#L817           "SD:", round(stats::sd(mean_la ...
+R/explore_data.R#L819       ) ...
+R/explore_data.R#L822   } ...
+R/explore_data.R#L824   return(plot_list) ...
 R/explore_data.R#L853   plot_list <- list() ...
-R/explore_data.R#L854    ...
 R/explore_data.R#L855   for (cond in unique(meta[[condition]]) ...
 R/explore_data.R#L861       sd(feature) / mean(feature) ...
 R/explore_data.R#L870       Feature = seq_len(nrow(data)), ...
 R/explore_data.R#L871       CV = cvs ...
 R/explore_data.R#L875       ggplot2::geom_histogram( ...
+R/explore_data.R#L879       ) + ...
 R/explore_data.R#L880       ggplot2::theme_minimal() + ...
 R/explore_data.R#L881       ggplot2::theme( ...
 R/explore_data.R#L887       ) + ...
 R/explore_data.R#L888       ggplot2::labs( ...
 R/explore_data.R#L893           "Mean CV:", ...
-R/explore_data.R#L894           round(mean_cv, 3),  ...
+R/explore_data.R#L894           round(mean_cv, 3), ...
 R/explore_data.R#L895           "SD CV:", ...
 R/explore_data.R#L896           round(std_cv, 3) ...
-R/explore_data.R#L897           ) ...
+R/explore_data.R#L898       ) ...
 R/explore_data.R#L901   } ...
-R/explore_data.R#L902    ...
 R/explore_data.R#L903   return(plot_list) ...
-R/explore_data.R#L930    ...
-R/explore_data.R#L931   # Perform PCA ...
-R/explore_data.R#L932   pc <- stats::prcomp(t(data)) ...
-R/explore_data.R#L933   pca_df <- data.frame(PC1 = pc$x[, 1],  ...
-R/explore_data.R#L934    ...
-R/explore_data.R#L935   # Add labels and levels from the metad ...
-R/explore_data.R#L936   pca_df$Labels <- colnames(data) ...
-R/explore_data.R#L937   pca_df$Levels <- meta[[condition]] ...
-R/explore_data.R#L938    ...
-R/explore_data.R#L939   # Add time column for alpha transparen ...
-R/explore_data.R#L940   pca_df$Time <- meta$Time ...
-R/explore_data.R#L941    ...
-R/explore_data.R#L942   # Normalize the Time column to a 0-1 r ...
-R/explore_data.R#L943   pca_df$Alpha <- scales::rescale(pca_df ...
-R/explore_data.R#L944    ...
-R/explore_data.R#L945   # Calculate the variance explained ...
-R/explore_data.R#L946   variance_explained <- pc$sdev^2 / sum( ...
-R/explore_data.R#L947   percent_variance_explained <- round(va ...
-R/explore_data.R#L948    ...
-R/explore_data.R#L949   # Extend the x-axis range ...
-R/explore_data.R#L950   x_range <- range(pc$x[, 1]) ...
-R/explore_data.R#L951   extended_x_max <- x_range[2] + (x_rang ...
-R/explore_data.R#L952    ...
-R/explore_data.R#L953   # Create the PCA plot ...
-R/explore_data.R#L954   pca_plot <- ggplot2::ggplot(pca_df, ae ...
-R/explore_data.R#L961                              box.padding ...
-R/explore_data.R#L962                              point.paddi ...
-R/explore_data.R#L963                              max.overlap ...
-R/explore_data.R#L964                              size = 2) + ...
-R/explore_data.R#L972    ...
+R/explore_data.R#L929   # Perform PCA ...
+R/explore_data.R#L930   pc <- stats::prcomp(t(data)) ...
+R/explore_data.R#L931   pca_df <- data.frame(PC1 = pc$x[, 1],  ...
+R/explore_data.R#L933   # Add labels and levels from the metad ...
+R/explore_data.R#L934   pca_df$Labels <- colnames(data) ...
+R/explore_data.R#L935   pca_df$Levels <- meta[[condition]] ...
+R/explore_data.R#L937   # Add time column for alpha transparen ...
+R/explore_data.R#L938   pca_df$Time <- meta$Time ...
+R/explore_data.R#L940   # Normalize the Time column to a 0-1 r ...
+R/explore_data.R#L941   pca_df$Alpha <- scales::rescale(pca_df ...
+R/explore_data.R#L943   # Calculate the variance explained ...
+R/explore_data.R#L944   variance_explained <- pc$sdev^2 / sum( ...
+R/explore_data.R#L945   percent_variance_explained <- round(va ...
+R/explore_data.R#L947   # Extend the x-axis range ...
+R/explore_data.R#L948   x_range <- range(pc$x[, 1]) ...
+R/explore_data.R#L949   extended_x_max <- x_range[2] + (x_rang ...
+R/explore_data.R#L951   # Create the PCA plot ...
+R/explore_data.R#L952   pca_plot <- ggplot2::ggplot(pca_df, ae ...
+R/explore_data.R#L957   )) + ...
+R/explore_data.R#L960       box.padding = 0.35, ...
+R/explore_data.R#L961       point.padding = 0.5, ...
+R/explore_data.R#L962       max.overlaps = Inf, ...
+R/explore_data.R#L963       size = 2 ...
 R/explore_data.R#L973   return(pca_plot) ...
-R/explore_data.R#L1001    ...
-R/explore_data.R#L1002   # Perform MDS using limma's plotMDS fu ...
-R/explore_data.R#L1003   mds <- limma::plotMDS( ...
-R/explore_data.R#L1006   ) ...
-R/explore_data.R#L1007    ...
-R/explore_data.R#L1008   # Extract MDS coordinates ...
-R/explore_data.R#L1009   mds_df <- data.frame( ...
-R/explore_data.R#L1013   ) ...
-R/explore_data.R#L1014    ...
-R/explore_data.R#L1015   # Add condition levels and time inform ...
-R/explore_data.R#L1016   mds_df$Levels <- meta[[condition]] ...
-R/explore_data.R#L1017   mds_df$Time <- meta$Time ...
-R/explore_data.R#L1018    ...
-R/explore_data.R#L1019   # Normalize the Time column to a 0-1 r ...
-R/explore_data.R#L1020   mds_df$Alpha <- scales::rescale(mds_df ...
-R/explore_data.R#L1021    ...
-R/explore_data.R#L1022   # Generate the MDS plot using ggplot2  ...
-R/explore_data.R#L1023   mds_plot <- ggplot2::ggplot( ...
-R/explore_data.R#L1026       x = .data$Dim1,  ...
-R/explore_data.R#L1027       y = .data$Dim2,  ...
-R/explore_data.R#L1028       label = .data$Labels, ...
-R/explore_data.R#L1029       color = .data$Levels, ...
-R/explore_data.R#L1030       alpha = .data$Alpha  # Use alpha f ...
-R/explore_data.R#L1032   ) + ...
-R/explore_data.R#L1035       box.padding = 0.35,  ...
-R/explore_data.R#L1036       point.padding = 0.5,  ...
-R/explore_data.R#L1037       max.overlaps = Inf, ...
-R/explore_data.R#L1038       size = 2 ...
-R/explore_data.R#L1043       x = "Dimension 1", ...
-R/explore_data.R#L1044       y = "Dimension 2", ...
-R/explore_data.R#L1045       color = condition ...
-R/explore_data.R#L1048    ...
-R/explore_data.R#L1049   return(mds_plot) ...
-R/explore_data.R#L1079    ...
-R/explore_data.R#L1080   heatmaps <- list() ...
-R/explore_data.R#L1081   heatmaps_sizes <- c() ...
-R/explore_data.R#L1082    ...
-R/explore_data.R#L1083   if (length(unique(meta[[condition]]))  ...
-R/explore_data.R#L1086                            use = "pairwi ...
-R/explore_data.R#L1092                   max(corr_all, na.rm =  ...
+R/explore_data.R#L1000   # Perform MDS using limma's plotMDS fu ...
+R/explore_data.R#L1001   mds <- limma::plotMDS( ...
+R/explore_data.R#L1004   ) ...
+R/explore_data.R#L1006   # Extract MDS coordinates ...
+R/explore_data.R#L1007   mds_df <- data.frame( ...
+R/explore_data.R#L1011   ) ...
+R/explore_data.R#L1013   # Add condition levels and time inform ...
+R/explore_data.R#L1014   mds_df$Levels <- meta[[condition]] ...
+R/explore_data.R#L1015   mds_df$Time <- meta$Time ...
+R/explore_data.R#L1017   # Normalize the Time column to a 0-1 r ...
+R/explore_data.R#L1018   mds_df$Alpha <- scales::rescale(mds_df ...
+R/explore_data.R#L1020   # Generate the MDS plot using ggplot2  ...
+R/explore_data.R#L1021   mds_plot <- ggplot2::ggplot( ...
+R/explore_data.R#L1024       x = .data$Dim1, ...
+R/explore_data.R#L1025       y = .data$Dim2, ...
+R/explore_data.R#L1026       label = .data$Labels, ...
+R/explore_data.R#L1027       color = .data$Levels, ...
+R/explore_data.R#L1028       alpha = .data$Alpha # Use alpha fo ...
+R/explore_data.R#L1030   ) + ...
+R/explore_data.R#L1033       box.padding = 0.35, ...
+R/explore_data.R#L1034       point.padding = 0.5, ...
+R/explore_data.R#L1035       max.overlaps = Inf, ...
+R/explore_data.R#L1036       size = 2 ...
+R/explore_data.R#L1041       x = "Dimension 1", ...
+R/explore_data.R#L1042       y = "Dimension 2", ...
+R/explore_data.R#L1043       color = condition ...
+R/explore_data.R#L1047   return(mds_plot) ...
+R/explore_data.R#L1076   heatmaps <- list() ...
+R/explore_data.R#L1077   heatmaps_sizes <- c() ...
+R/explore_data.R#L1079   if (length(unique(meta[[condition]]))  ...
+R/explore_data.R#L1082       method = "spearman", ...
+R/explore_data.R#L1083       use = "pairwise.complete.obs" ...
+R/explore_data.R#L1090       max(corr_all, na.rm = TRUE), ...
+R/explore_data.R#L1091       length.out = 100 ...
 R/explore_data.R#L1097       corr_all, ...
 R/explore_data.R#L1098       col = col_fun(100), ...
 R/explore_data.R#L1099       name = "Correlation", ...
@@ -2365,3400 +2107,2733 @@ R/explore_data.R#L1108       row_names_gp = gpar(fontsize = 6), ...
 R/explore_data.R#L1109       column_names_gp = gpar(fontsize =  ...
 R/explore_data.R#L1110       column_names_rot = 60 ...
 R/explore_data.R#L1113   } ...
-R/explore_data.R#L1114    ...
 R/explore_data.R#L1115   # Custom scaling logic for the HTML re ...
-R/explore_data.R#L1116   heatmap_all_size <- max(1.5 * length(m ...
-R/explore_data.R#L1117                           1) ...
-R/explore_data.R#L1118   heatmaps_sizes <- c(heatmaps_sizes, he ...
-R/explore_data.R#L1119    ...
-R/explore_data.R#L1120   # Create correlation heatmaps for each ...
-R/explore_data.R#L1121   levels <- unique(meta[[condition]]) ...
-R/explore_data.R#L1122   for (level in levels) { ...
-R/explore_data.R#L1129                              use = "pair ...
-R/explore_data.R#L1141       corr_level, ...
-R/explore_data.R#L1142       col = col_fun_level(100), ...
-R/explore_data.R#L1143       name = "Correlation", ...
-R/explore_data.R#L1144       column_title = paste("Level:", lev ...
-R/explore_data.R#L1145       heatmap_legend_param = list( ...
-R/explore_data.R#L1150       ), ...
-R/explore_data.R#L1151       na_col = "grey", ...
-R/explore_data.R#L1152       row_names_gp = gpar(fontsize = 6), ...
-R/explore_data.R#L1153       column_names_gp = gpar(fontsize =  ...
-R/explore_data.R#L1154       column_names_rot = 60 ...
-R/explore_data.R#L1162                               1) ...
-R/explore_data.R#L1164   } ...
-R/explore_data.R#L1165    ...
-R/explore_data.R#L1166   list(heatmaps = heatmaps, ...
-R/explore_data.R#L1167        heatmaps_sizes = heatmaps_sizes) ...
-R/explore_data.R#L1187    ...
-R/explore_data.R#L1188   plot_explanations_file <- system.file( ...
-R/explore_data.R#L1193   plot_explanations <- readLines(plot_ex ...
-R/extract_data.R#L39    ...
-R/extract_data.R#L40   control_inputs_extract_data( ...
-R/extract_data.R#L44    ...
-R/extract_data.R#L45   if (user_prompt) { ...
-R/extract_data.R#L47       "Is the data matrix on the left, t ...
-R/extract_data.R#L48       "separated by an empty column? " ...
-R/extract_data.R#L49       )) ...
-R/extract_data.R#L50   } ...
-R/extract_data.R#L51    ...
-R/extract_data.R#L52   data <- as.data.frame(data) ...
-R/extract_data.R#L53    ...
-R/extract_data.R#L54   numeric_block_finder <- NumericBlockFi ...
-R/extract_data.R#L55   upper_left_cell <- numeric_block_finde ...
-R/extract_data.R#L56   lower_right_cell <- numeric_block_find ...
-R/extract_data.R#L57    ...
-R/extract_data.R#L58   upper_left_row <- upper_left_cell$uppe ...
-R/extract_data.R#L59   upper_left_col <- upper_left_cell$uppe ...
-R/extract_data.R#L60    ...
-R/extract_data.R#L61   lower_right_row <- lower_right_cell$lo ...
-R/extract_data.R#L62   lower_right_col <- lower_right_cell$lo ...
-R/extract_data.R#L64    ...
-R/extract_data.R#L65   # Extract the numeric data block ...
-R/extract_data.R#L66   numeric_data <- data[ ...
-R/extract_data.R#L71   numeric_data[] <- ...
-R/extract_data.R#L73       as.numeric(as.character(col)))) ...
-R/extract_data.R#L75   # Check if every element of numeric_da ...
-R/extract_data.R#L76   if (any(sapply(numeric_data, function( ...
-R/extract_data.R#L78       paste( ...
+R/explore_data.R#L1116   heatmap_all_size <- max( ...
+R/explore_data.R#L1119   ) ...
+R/explore_data.R#L1120   heatmaps_sizes <- c(heatmaps_sizes, he ...
+R/explore_data.R#L1122   # Create correlation heatmaps for each ...
+R/explore_data.R#L1123   levels <- unique(meta[[condition]]) ...
+R/explore_data.R#L1124   for (level in levels) { ...
+R/explore_data.R#L1131       method = "spearman", ...
+R/explore_data.R#L1132       use = "pairwise.complete.obs" ...
+R/explore_data.R#L1139       max(corr_level, na.rm = TRUE), ...
+R/explore_data.R#L1140       length.out = 100 ...
+R/explore_data.R#L1147       corr_level, ...
+R/explore_data.R#L1148       col = col_fun_level(100), ...
+R/explore_data.R#L1149       name = "Correlation", ...
+R/explore_data.R#L1150       column_title = paste("Level:", lev ...
+R/explore_data.R#L1151       heatmap_legend_param = list( ...
+R/explore_data.R#L1156       ), ...
+R/explore_data.R#L1157       na_col = "grey", ...
+R/explore_data.R#L1158       row_names_gp = gpar(fontsize = 6), ...
+R/explore_data.R#L1159       column_names_gp = gpar(fontsize =  ...
+R/explore_data.R#L1160       column_names_rot = 60 ...
+R/explore_data.R#L1168       1.5 * nr_level_timepoints / 17, ...
+R/explore_data.R#L1169       1 ...
+R/explore_data.R#L1172   } ...
+R/explore_data.R#L1174   list( ...
+R/explore_data.R#L1177   ) ...
+R/explore_data.R#L1197   plot_explanations_file <- system.file( ...
+R/explore_data.R#L1201   ) ...
+R/explore_data.R#L1202   plot_explanations <- readLines(plot_ex ...
+R/extract_data.R#L38   control_inputs_extract_data( ...
+R/extract_data.R#L41   ) ...
+R/extract_data.R#L43   if (user_prompt) { ...
+R/extract_data.R#L45       "Is the data matrix on the left, t ...
+R/extract_data.R#L46       "separated by an empty column? " ...
+R/extract_data.R#L48   } ...
+R/extract_data.R#L50   data <- as.data.frame(data) ...
+R/extract_data.R#L52   numeric_block_finder <- NumericBlockFi ...
+R/extract_data.R#L53   upper_left_cell <- numeric_block_finde ...
+R/extract_data.R#L54   lower_right_cell <- numeric_block_find ...
+R/extract_data.R#L56   upper_left_row <- upper_left_cell$uppe ...
+R/extract_data.R#L57   upper_left_col <- upper_left_cell$uppe ...
+R/extract_data.R#L59   lower_right_row <- lower_right_cell$lo ...
+R/extract_data.R#L60   lower_right_col <- lower_right_cell$lo ...
+R/extract_data.R#L63   # Extract the numeric data block ...
+R/extract_data.R#L64   numeric_data <- data[ ...
+R/extract_data.R#L67   ] ...
+R/extract_data.R#L69   numeric_data[] <- ...
+R/extract_data.R#L71       suppressWarnings( ...
+R/extract_data.R#L73       ) ...
+R/extract_data.R#L76   # Check if every element of numeric_da ...
+R/extract_data.R#L77   if (any(vapply(numeric_data, function( ...
 R/extract_data.R#L79       "All elements of the data field mu ...
 R/extract_data.R#L80       "ensure there is an empty column b ...
 R/extract_data.R#L81       "the annotation information, which ...
 R/extract_data.R#L82       "right of the numeric data, not on ...
-R/extract_data.R#L83       ),  ...
-R/extract_data.R#L84       call. = FALSE ...
-R/extract_data.R#L85       ) ...
-R/extract_data.R#L86   } ...
-R/extract_data.R#L88   # Remove rows and columns that are ent ...
-R/extract_data.R#L89   numeric_data <- numeric_data[ ...
-R/extract_data.R#L92   numeric_data <- numeric_data[ ...
-R/extract_data.R#L96   # Remove rows with any NA values ...
-R/extract_data.R#L97   clean_data <- numeric_data[stats::comp ...
-R/extract_data.R#L98    ...
-R/extract_data.R#L99   # Extract headers for each column abov ...
-R/extract_data.R#L100   headers <- sapply(upper_left_col:lower ...
-R/extract_data.R#L104   }) ...
-R/extract_data.R#L105    ...
-R/extract_data.R#L106   colnames(clean_data) <- headers ...
-R/extract_data.R#L107    ...
-R/extract_data.R#L108   clean_data <- add_feature_names( ...
-R/extract_data.R#L113    ...
-R/extract_data.R#L114   clean_matrix <- as.matrix(clean_data) ...
-R/extract_data.R#L115   rownames(clean_matrix) <- rownames(cle ...
-R/extract_data.R#L116    ...
-R/extract_data.R#L117   clean_matrix ...
-R/extract_data.R#L135   public = list( ...
-R/extract_data.R#L146        ...
-R/extract_data.R#L147       self$data <- as.data.frame(data) ...
-R/extract_data.R#L160        ...
-R/extract_data.R#L161       upper_left_row <- NA ...
-R/extract_data.R#L162       upper_left_col <- NA ...
-R/extract_data.R#L163       num_rows <- nrow(self$data) ...
-R/extract_data.R#L164       num_cols <- ncol(self$data) ...
-R/extract_data.R#L165        ...
-R/extract_data.R#L166       for (i in 1:(num_rows - 5)) { ...
-R/extract_data.R#L168           block <- self$data[i:(i + 5),  ...
-R/extract_data.R#L169           block_num <- suppressWarnings( ...
-R/extract_data.R#L170           if (all(!is.na(block_num)) &&  ...
-R/extract_data.R#L174           } ...
-R/extract_data.R#L177       } ...
-R/extract_data.R#L178        ...
-R/extract_data.R#L179       if (is.na(upper_left_row) || is.na ...
-R/extract_data.R#L181              call. = FALSE) ...
-R/extract_data.R#L182       } ...
-R/extract_data.R#L183        ...
-R/extract_data.R#L184       self$upper_left_cell <- list(upper ...
-R/extract_data.R#L185                                    upper ...
-R/extract_data.R#L186       return(self$upper_left_cell) ...
-R/extract_data.R#L199        ...
-R/extract_data.R#L200       if (is.null(self$upper_left_cell)) ...
-R/extract_data.R#L202                    "Call find_upper_left ...
+R/extract_data.R#L84   } ...
+R/extract_data.R#L86   # Remove rows and columns that are ent ...
+R/extract_data.R#L87   numeric_data <- numeric_data[ ...
+R/extract_data.R#L89   ] ...
+R/extract_data.R#L90   numeric_data <- numeric_data[ ...
+R/extract_data.R#L92   ] ...
+R/extract_data.R#L94   # Remove rows with any NA values ...
+R/extract_data.R#L95   clean_data <- numeric_data[stats::comp ...
+R/extract_data.R#L97   # Extract headers for each column abov ...
+R/extract_data.R#L98   headers <- vapply(upper_left_col:lower ...
+R/extract_data.R#L102   }, character(1)) ...
+R/extract_data.R#L104   colnames(clean_data) <- headers ...
+R/extract_data.R#L106   clean_data <- add_feature_names( ...
+R/extract_data.R#L110   ) ...
+R/extract_data.R#L112   clean_matrix <- as.matrix(clean_data) ...
+R/extract_data.R#L113   rownames(clean_matrix) <- rownames(cle ...
+R/extract_data.R#L115   clean_matrix ...
+R/extract_data.R#L133   public = list( ...
+R/extract_data.R#L144       self$data <- as.data.frame(data) ...
+R/extract_data.R#L157       upper_left_row <- NA ...
+R/extract_data.R#L158       upper_left_col <- NA ...
+R/extract_data.R#L159       num_rows <- nrow(self$data) ...
+R/extract_data.R#L160       num_cols <- ncol(self$data) ...
+R/extract_data.R#L162       for (i in 1:(num_rows - 5)) { ...
+R/extract_data.R#L164           block <- self$data[i:(i + 5),  ...
+R/extract_data.R#L165           block_num <- suppressWarnings( ...
+R/extract_data.R#L166           if (all(!is.na(block_num)) &&  ...
+R/extract_data.R#L170           } ...
+R/extract_data.R#L173       } ...
+R/extract_data.R#L175       if (is.na(upper_left_row) || is.na ...
+R/extract_data.R#L177           call. = FALSE ...
+R/extract_data.R#L179       } ...
+R/extract_data.R#L181       self$upper_left_cell <- list( ...
+R/extract_data.R#L184       ) ...
+R/extract_data.R#L185       return(self$upper_left_cell) ...
+R/extract_data.R#L198       if (is.null(self$upper_left_cell)) ...
+R/extract_data.R#L200           "Upper-left cell has not been  ...
+R/extract_data.R#L201           "Call find_upper_left_cell fir ...
 R/extract_data.R#L203       } ...
-R/extract_data.R#L204        ...
 R/extract_data.R#L205       upper_left_row <- self$upper_left_ ...
 R/extract_data.R#L206       upper_left_col <- self$upper_left_ ...
 R/extract_data.R#L207       num_rows <- nrow(self$data) ...
 R/extract_data.R#L208       num_cols <- ncol(self$data) ...
-R/extract_data.R#L209        ...
 R/extract_data.R#L210       # Expand the block vertically ...
 R/extract_data.R#L211       lower_right_row <- upper_left_row ...
 R/extract_data.R#L212       for (i in (upper_left_row + 1):num ...
 R/extract_data.R#L214           break ...
 R/extract_data.R#L217       } ...
-R/extract_data.R#L218        ...
 R/extract_data.R#L219       # Expand the block horizontally ...
 R/extract_data.R#L220       lower_right_col <- upper_left_col ...
-R/extract_data.R#L221       for (j in (upper_left_col+1):num_c ...
+R/extract_data.R#L221       for (j in (upper_left_col + 1):num ...
 R/extract_data.R#L223           break ...
 R/extract_data.R#L226       } ...
-R/extract_data.R#L227        ...
-R/extract_data.R#L228       list(lower_right_row = lower_right ...
-R/extract_data.R#L229            lower_right_col = lower_right ...
-R/extract_data.R#L231   ) ...
-R/extract_data.R#L266    ...
+R/extract_data.R#L228       list( ...
+R/extract_data.R#L231       ) ...
+R/extract_data.R#L233   ) ...
 R/extract_data.R#L267   if (!is.data.frame(data)) { ...
 R/extract_data.R#L269   } ...
-R/extract_data.R#L270    ...
 R/extract_data.R#L271   if (!any(is.na(feature_name_columns))) ...
-R/extract_data.R#L274       stop("feature_name_columns should  ...
-R/extract_data.R#L279       stop(paste( ...
-R/extract_data.R#L288       if (all(is.na(data[feature_name_co ...
-R/extract_data.R#L290                    "' contain only NA va ...
-R/extract_data.R#L291              call. = FALSE) ...
-R/extract_data.R#L292       } ...
-R/extract_data.R#L294   } ...
-R/extract_data.R#L295    ...
-R/extract_data.R#L296   if (nrow(data) == 0) { ...
-R/extract_data.R#L298   } ...
-R/extract_data.R#L314   message(question, " (yes/no):") ...
-R/extract_data.R#L315   response <- readline() ...
-R/extract_data.R#L316   if (tolower(response) == "yes") { ...
-R/extract_data.R#L318   } else { ...
-R/extract_data.R#L320   } ...
-R/extract_data.R#L351                               clean_data ...
-R/extract_data.R#L352                               feature_na ...
-R/extract_data.R#L353    ...
-R/extract_data.R#L354   if (!any(is.na(feature_name_columns))) ...
-R/extract_data.R#L360                                       dr ...
-R/extract_data.R#L364                            function(row) ...
-R/extract_data.R#L372       stop("Combined feature names must  ...
-R/extract_data.R#L373            call. = FALSE) ...
-R/extract_data.R#L378       stop(paste("Length of combined fea ...
-R/extract_data.R#L379                  "rows in clean_data."), ...
-R/extract_data.R#L380            call. = FALSE) ...
-R/extract_data.R#L386   } else { ...
-R/extract_data.R#L390                   "etc. as the feature n ...
-R/extract_data.R#L391   } ...
-R/extract_data.R#L392   return(clean_data) ...
-R/open_tutorial_and_template.R#L16    ...
+R/extract_data.R#L273       stop("feature_name_columns should  ...
+R/extract_data.R#L278       stop( ...
+R/extract_data.R#L280           "The following feature_name_co ...
+R/extract_data.R#L281           paste(missing_columns, collaps ...
+R/extract_data.R#L284       ) ...
+R/extract_data.R#L289       if (all(is.na(data[feature_name_co ...
+R/extract_data.R#L291           paste("Columns '", paste(featu ...
+R/extract_data.R#L294           ), ...
+R/extract_data.R#L295           call. = FALSE ...
+R/extract_data.R#L297       } ...
+R/extract_data.R#L299   } ...
+R/extract_data.R#L301   if (nrow(data) == 0) { ...
+R/extract_data.R#L303   } ...
+R/extract_data.R#L319   message(question, " (yes/no):") ...
+R/extract_data.R#L320   response <- readline() ...
+R/extract_data.R#L321   if (tolower(response) == "yes") { ...
+R/extract_data.R#L323   } else { ...
+R/extract_data.R#L325   } ...
+R/extract_data.R#L356                               clean_data ...
+R/extract_data.R#L357                               feature_na ...
+R/extract_data.R#L358   if (!any(is.na(feature_name_columns))) ...
+R/extract_data.R#L360       data[feature_name_columns], 1, ...
+R/extract_data.R#L361       function(row) all(!is.na(row)) ...
+R/extract_data.R#L365       drop = FALSE ...
+R/extract_data.R#L370       data_filtered[feature_name_columns ...
+R/extract_data.R#L371       function(row) paste(row, collapse  ...
+R/extract_data.R#L380       stop("Combined feature names must  ...
+R/extract_data.R#L382       ) ...
+R/extract_data.R#L387       stop( ...
+R/extract_data.R#L389           "Length of combined feature na ...
+R/extract_data.R#L390           "rows in clean_data." ...
+R/extract_data.R#L393       ) ...
+R/extract_data.R#L398   } else { ...
+R/extract_data.R#L401       "No feature_name column specified. ...
+R/extract_data.R#L402       "etc. as the feature names" ...
+R/extract_data.R#L404   } ...
+R/extract_data.R#L405   return(clean_data) ...
 R/open_tutorial_and_template.R#L17   # Check if rstudioapi is installed ...
-R/open_tutorial_and_template.R#L18   if (!requireNamespace( ...
-R/open_tutorial_and_template.R#L21   )) { ...
-R/open_tutorial_and_template.R#L23       # Prompt the user for action ...
-R/open_tutorial_and_template.R#L24       cat("The 'rstudioapi' package is n ...
-R/open_tutorial_and_template.R#L25       cat("1: Install 'rstudioapi'\n") ...
-R/open_tutorial_and_template.R#L26       cat("2: Do not install and quit\n" ...
-R/open_tutorial_and_template.R#L27       cat("3: Resolve manually and retry ...
-R/open_tutorial_and_template.R#L28       choice <- readline(prompt = "Pleas ...
-R/open_tutorial_and_template.R#L29        ...
-R/open_tutorial_and_template.R#L30       # Check user input and take approp ...
-R/open_tutorial_and_template.R#L31       if (choice == "1") { ...
-R/open_tutorial_and_template.R#L34       } else if (choice == "2") { ...
-R/open_tutorial_and_template.R#L36           "User chose not to install 'rs ...
-R/open_tutorial_and_template.R#L37           call. = FALSE ...
-R/open_tutorial_and_template.R#L38           ) ...
-R/open_tutorial_and_template.R#L39       } else if (choice == "3") { ...
-R/open_tutorial_and_template.R#L41           "Please install 'rstudioapi' m ...
-R/open_tutorial_and_template.R#L42           call. = FALSE) ...
-R/open_tutorial_and_template.R#L43       } else { ...
-R/open_tutorial_and_template.R#L45       } ...
-R/open_tutorial_and_template.R#L47   } ...
-R/open_tutorial_and_template.R#L48    ...
-R/open_tutorial_and_template.R#L49   file <- system.file( ...
-R/open_tutorial_and_template.R#L54   if (file != "") { ...
-R/open_tutorial_and_template.R#L56       rstudioapi::navigateToFile(file) ...
-R/open_tutorial_and_template.R#L58       stop("RStudio API not available. C ...
-R/open_tutorial_and_template.R#L60   } else { ...
-R/open_tutorial_and_template.R#L62   } ...
-R/open_tutorial_and_template.R#L76    ...
-R/open_tutorial_and_template.R#L77   # Check if rstudioapi is installed ...
-R/open_tutorial_and_template.R#L78   if (!requireNamespace( ...
-R/open_tutorial_and_template.R#L83       # Prompt the user for action ...
-R/open_tutorial_and_template.R#L84       cat("The 'rstudioapi' package is n ...
-R/open_tutorial_and_template.R#L85       cat("1: Install 'rstudioapi'\n") ...
-R/open_tutorial_and_template.R#L86       cat("2: Do not install and quit\n" ...
-R/open_tutorial_and_template.R#L87       cat("3: Resolve manually and retry ...
-R/open_tutorial_and_template.R#L88       choice <- readline(prompt = "Pleas ...
-R/open_tutorial_and_template.R#L89        ...
-R/open_tutorial_and_template.R#L90       # Check user input and take approp ...
-R/open_tutorial_and_template.R#L91       if (choice == "1") { ...
-R/open_tutorial_and_template.R#L94       } else if (choice == "2") { ...
-R/open_tutorial_and_template.R#L96           "User chose not to install 'rs ...
-R/open_tutorial_and_template.R#L97           call. = FALSE ...
-R/open_tutorial_and_template.R#L99       } else if (choice == "3") { ...
-R/open_tutorial_and_template.R#L101           "Please install 'rstudioapi' m ...
-R/open_tutorial_and_template.R#L102           call. = FALSE) ...
-R/open_tutorial_and_template.R#L103       } else { ...
-R/open_tutorial_and_template.R#L105       } ...
-R/open_tutorial_and_template.R#L107   } ...
-R/open_tutorial_and_template.R#L108    ...
-R/open_tutorial_and_template.R#L109   file <- system.file( ...
-R/open_tutorial_and_template.R#L113   ) ...
-R/open_tutorial_and_template.R#L114   if (file != "") { ...
-R/open_tutorial_and_template.R#L116       rstudioapi::navigateToFile(file) ...
-R/open_tutorial_and_template.R#L118       stop("RStudio API not available. C ...
-R/open_tutorial_and_template.R#L120   } else { ...
-R/open_tutorial_and_template.R#L122   } ...
-R/preprocess_rna_seq_data.R#L47    ...
-R/preprocess_rna_seq_data.R#L48   message("Preprocessing RNA-seq data (n ...
-R/preprocess_rna_seq_data.R#L49    ...
-R/preprocess_rna_seq_data.R#L50   # Check if edgeR is installed; if not, ...
-R/preprocess_rna_seq_data.R#L51   if (!requireNamespace("edgeR", quietly ...
-R/preprocess_rna_seq_data.R#L56       user_input <- readline( ...
-R/preprocess_rna_seq_data.R#L58           "What would you like to do?\n ...
-R/preprocess_rna_seq_data.R#L63       ) ...
-R/preprocess_rna_seq_data.R#L64        ...
-R/preprocess_rna_seq_data.R#L65       if (user_input == "1") { ...
-R/preprocess_rna_seq_data.R#L70           utils::install.packages("BiocM ...
-R/preprocess_rna_seq_data.R#L73           { ...
-R/preprocess_rna_seq_data.R#L75           }, ...
-R/preprocess_rna_seq_data.R#L76           error = function(e) { ...
-R/preprocess_rna_seq_data.R#L78               "Automatic installation of ...
-R/preprocess_rna_seq_data.R#L80               call. = FALSE ...
-R/preprocess_rna_seq_data.R#L82           } ...
-R/preprocess_rna_seq_data.R#L85       } else if (user_input == "2") { ...
-R/preprocess_rna_seq_data.R#L87           "Please install 'edgeR' manual ...
-R/preprocess_rna_seq_data.R#L88          BiocManager::install('edgeR') a ...
-R/preprocess_rna_seq_data.R#L89           call. = FALSE ...
-R/preprocess_rna_seq_data.R#L91       } else if (user_input == "3") { ...
-R/preprocess_rna_seq_data.R#L93       } else { ...
-R/preprocess_rna_seq_data.R#L95       } ...
-R/preprocess_rna_seq_data.R#L97   } ...
-R/preprocess_rna_seq_data.R#L98    ...
-R/preprocess_rna_seq_data.R#L99   design_matrix <- design2design_matrix( ...
-R/preprocess_rna_seq_data.R#L104   ) ...
-R/preprocess_rna_seq_data.R#L105    ...
-R/preprocess_rna_seq_data.R#L106   # Step 1: Create DGEList object from r ...
-R/preprocess_rna_seq_data.R#L107   y <- edgeR::DGEList(counts = raw_count ...
-R/preprocess_rna_seq_data.R#L108    ...
-R/preprocess_rna_seq_data.R#L109   # Step 2: Apply the normalization func ...
-R/preprocess_rna_seq_data.R#L110   if (!is.null(normalize_func) && is.fun ...
-R/preprocess_rna_seq_data.R#L112   } else { ...
-R/preprocess_rna_seq_data.R#L115   } ...
-R/preprocess_rna_seq_data.R#L116    ...
-R/preprocess_rna_seq_data.R#L117   # Step 3: Apply voom transformation to ...
-R/preprocess_rna_seq_data.R#L118   voom_obj <- limma::voom( ...
-R/preprocess_rna_seq_data.R#L121   ) ...
-R/preprocess_rna_seq_data.R#L122    ...
-R/preprocess_rna_seq_data.R#L123   return(voom_obj) ...
-R/run_gsea.R#L40   report_dir <- normalizePath( ...
-R/run_gsea.R#L43   ) ...
-R/run_gsea.R#L45   # Check report_info and report_dir ...
-R/run_gsea.R#L46   args <- lapply( ...
-R/run_gsea.R#L48       match.call()[-1]), ...
-R/run_gsea.R#L53   input_control <- InputControl$new(args ...
-R/run_gsea.R#L54   input_control$auto_validate() ...
-R/run_gsea.R#L56   # Remove levels that ...
-R/run_gsea.R#L57   levels_clustered_hits <- levels_cluste ...
-R/run_gsea.R#L59       levels_clustered_hits, ...
-R/run_gsea.R#L60       is.character ...
-R/run_gsea.R#L61       ) ...
-R/run_gsea.R#L64   # Control the test not covered by the  ...
-R/run_gsea.R#L65   control_inputs_create_gsea_report( ...
-R/run_gsea.R#L73   ensure_clusterProfiler()  # Deals with ...
-R/run_gsea.R#L75   all_results <- map2( ...
-R/run_gsea.R#L79       .x, ...
-R/run_gsea.R#L80       .y, ...
-R/run_gsea.R#L81       databases, ...
-R/run_gsea.R#L82       clusterProfiler_params, ...
-R/run_gsea.R#L83       universe ...
-R/run_gsea.R#L84       ) ...
-R/run_gsea.R#L85   ) ...
-R/run_gsea.R#L87   names(all_results) <- names(levels_clu ...
-R/run_gsea.R#L89   processed_results <- map2( ...
-R/run_gsea.R#L93   ) ...
-R/run_gsea.R#L95   # Extract the plots, plot sizes, and h ...
-R/run_gsea.R#L96   plots <- purrr::flatten(map(processed_ ...
-R/run_gsea.R#L97   plots_sizes <- unlist(map(processed_re ...
-R/run_gsea.R#L98    ...
-R/run_gsea.R#L99   insert_after_each <- function(lst, val ...
-R/run_gsea.R#L104   } ...
-R/run_gsea.R#L105    ...
-R/run_gsea.R#L106   plots <- insert_after_each(plots, "sec ...
-R/run_gsea.R#L107   plots_sizes <- insert_after_each(plots ...
-R/run_gsea.R#L109   level_headers_info <- map(processed_re ...
-R/run_gsea.R#L111   names(level_headers_info) <- names(all ...
-R/run_gsea.R#L114   report_info$databases <- unique(databa ...
-R/run_gsea.R#L116   generate_report_html( ...
-R/run_gsea.R#L126   print_info_message( ...
-R/run_gsea.R#L129   ) ...
-R/run_gsea.R#L131   return(Filter(function(x) !is.characte ...
-R/run_gsea.R#L161   check_clustered_hits(levels_clustered_ ...
-R/run_gsea.R#L163   check_databases(databases) ...
-R/run_gsea.R#L165   check_params(params) ...
-R/run_gsea.R#L168   if (!is.na(plot_titles)) { ...
-R/run_gsea.R#L172       stop(paste("plot_titles must be a  ...
-R/run_gsea.R#L173                  "length levels_clustere ...
-R/run_gsea.R#L175   } ...
-R/run_gsea.R#L178   if (!is.null(background)) { ...
-R/run_gsea.R#L180       stop("background must be a charact ...
-R/run_gsea.R#L182       check_genes(background) ...
-R/run_gsea.R#L184   } ...
-R/run_gsea.R#L198   # Check if clusterProfiler is installe ...
-R/run_gsea.R#L199   if (!requireNamespace("clusterProfiler ...
-R/run_gsea.R#L204       user_input <- readline( ...
-R/run_gsea.R#L206           "What would you like to do?\n" ...
-R/run_gsea.R#L207           "1: Automatically install clus ...
-R/run_gsea.R#L208           "2: Manually install clusterPr ...
-R/run_gsea.R#L209           "3: Cancel\n", ...
-R/run_gsea.R#L210           "Please enter 1, 2, or 3: " ...
-R/run_gsea.R#L212       ) ...
-R/run_gsea.R#L214       if (user_input == "1") { ...
-R/run_gsea.R#L217           "Attempting to install 'cluste ...
-R/run_gsea.R#L218           from Bioconductor..." ...
-R/run_gsea.R#L219           ) ...
-R/run_gsea.R#L222           utils::install.packages("BiocM ...
-R/run_gsea.R#L226           { ...
-R/run_gsea.R#L228           }, ...
-R/run_gsea.R#L229           error = function(e) { ...
-R/run_gsea.R#L231               "Automatic installation of ...
-R/run_gsea.R#L232               Please install it manually ...
-R/run_gsea.R#L233               call. = FALSE ...
-R/run_gsea.R#L234               ) ...
-R/run_gsea.R#L235           } ...
-R/run_gsea.R#L238       } else if (user_input == "2") { ...
-R/run_gsea.R#L240           "Please install 'clusterProfil ...
-R/run_gsea.R#L241           using BiocManager::install('cl ...
-R/run_gsea.R#L242           then re-run the function.", ...
-R/run_gsea.R#L243           call. = FALSE ...
-R/run_gsea.R#L244           ) ...
-R/run_gsea.R#L245       } else if (user_input == "3") { ...
-R/run_gsea.R#L247       } else { ...
-R/run_gsea.R#L249       } ...
-R/run_gsea.R#L251   } ...
-R/run_gsea.R#L283   clustered_hits <- na.omit(clustered_hi ...
-R/run_gsea.R#L285   message(paste( ...
-R/run_gsea.R#L290   result <- create_gsea_report_level( ...
-R/run_gsea.R#L324   result <- list() ...
-R/run_gsea.R#L326   if (any(is.na(level_result))) { ...
+R/open_tutorial_and_template.R#L18   if (!requireNamespace("rstudioapi", qu ...
+R/open_tutorial_and_template.R#L20       "The 'rstudioapi' package is not i ...
+R/open_tutorial_and_template.R#L21       "Please install it manually with:  ...
+R/open_tutorial_and_template.R#L23   } ...
+R/open_tutorial_and_template.R#L25   # Find the tutorial file ...
+R/open_tutorial_and_template.R#L26   file <- system.file("tutorial", "tutor ...
+R/open_tutorial_and_template.R#L28   if (file != "") { ...
+R/open_tutorial_and_template.R#L30       rstudioapi::navigateToFile(file) ...
+R/open_tutorial_and_template.R#L32       stop_call_false("RStudio API not a ...
+R/open_tutorial_and_template.R#L34   } else { ...
+R/open_tutorial_and_template.R#L36   } ...
+R/open_tutorial_and_template.R#L57   # Check if rstudioapi is installed ...
+R/open_tutorial_and_template.R#L58   if (!requireNamespace("rstudioapi", qu ...
+R/open_tutorial_and_template.R#L60       "The 'rstudioapi' package is not i ...
+R/open_tutorial_and_template.R#L61       "Please install it manually with:  ...
+R/open_tutorial_and_template.R#L62       call. = FALSE ...
+R/open_tutorial_and_template.R#L64   } ...
+R/open_tutorial_and_template.R#L66   # Find the template file ...
+R/open_tutorial_and_template.R#L67   file <- system.file("template", "templ ...
+R/open_tutorial_and_template.R#L69   if (file != "") { ...
+R/open_tutorial_and_template.R#L71       rstudioapi::navigateToFile(file) ...
+R/open_tutorial_and_template.R#L73       stop("RStudio API not available. C ...
+R/open_tutorial_and_template.R#L75   } else { ...
+R/open_tutorial_and_template.R#L77   } ...
+R/preprocess_rna_seq_data.R#L46   message("Preprocessing RNA-seq data (n ...
+R/preprocess_rna_seq_data.R#L48   # Check if edgeR is installed; if not, ...
+R/preprocess_rna_seq_data.R#L49   if (!requireNamespace("edgeR", quietly ...
+R/preprocess_rna_seq_data.R#L54       user_input <- readline( ...
+R/preprocess_rna_seq_data.R#L56           "What would you like to do?\n ...
+R/preprocess_rna_seq_data.R#L61       ) ...
+R/preprocess_rna_seq_data.R#L63       if (user_input == "1") { ...
+R/preprocess_rna_seq_data.R#L68           utils::install.packages("BiocM ...
+R/preprocess_rna_seq_data.R#L71           { ...
+R/preprocess_rna_seq_data.R#L73           }, ...
+R/preprocess_rna_seq_data.R#L74           error = function(e) { ...
+R/preprocess_rna_seq_data.R#L76               "Automatic installation of ...
+R/preprocess_rna_seq_data.R#L78               call. = FALSE ...
+R/preprocess_rna_seq_data.R#L80           } ...
+R/preprocess_rna_seq_data.R#L83       } else if (user_input == "2") { ...
+R/preprocess_rna_seq_data.R#L85           "Please install 'edgeR' manual ...
+R/preprocess_rna_seq_data.R#L86          BiocManager::install('edgeR') a ...
+R/preprocess_rna_seq_data.R#L87           call. = FALSE ...
+R/preprocess_rna_seq_data.R#L89       } else if (user_input == "3") { ...
+R/preprocess_rna_seq_data.R#L91       } else { ...
+R/preprocess_rna_seq_data.R#L93       } ...
+R/preprocess_rna_seq_data.R#L95   } ...
+R/preprocess_rna_seq_data.R#L97   design_matrix <- design2design_matrix( ...
+R/preprocess_rna_seq_data.R#L102   ) ...
+R/preprocess_rna_seq_data.R#L104   # Step 1: Create DGEList object from r ...
+R/preprocess_rna_seq_data.R#L105   y <- edgeR::DGEList(counts = raw_count ...
+R/preprocess_rna_seq_data.R#L107   # Step 2: Apply the normalization func ...
+R/preprocess_rna_seq_data.R#L108   if (!is.null(normalize_func) && is.fun ...
+R/preprocess_rna_seq_data.R#L110   } else { ...
+R/preprocess_rna_seq_data.R#L113   } ...
+R/preprocess_rna_seq_data.R#L115   # Step 3: Apply voom transformation to ...
+R/preprocess_rna_seq_data.R#L116   voom_obj <- limma::voom( ...
+R/preprocess_rna_seq_data.R#L119   ) ...
+R/preprocess_rna_seq_data.R#L121   return(voom_obj) ...
+R/run_gsea.R#L38   report_dir <- normalizePath( ...
+R/run_gsea.R#L41   ) ...
+R/run_gsea.R#L43   # Check report_info and report_dir ...
+R/run_gsea.R#L44   args <- lapply( ...
+R/run_gsea.R#L46       match.call()[-1] ...
+R/run_gsea.R#L50   ) ...
+R/run_gsea.R#L52   input_control <- InputControl$new(args ...
+R/run_gsea.R#L53   input_control$auto_validate() ...
+R/run_gsea.R#L55   levels_clustered_hits <- levels_cluste ...
+R/run_gsea.R#L57       levels_clustered_hits, ...
+R/run_gsea.R#L58       is.character, ...
+R/run_gsea.R#L59       logical(1) ...
+R/run_gsea.R#L61   ] ...
+R/run_gsea.R#L63   # Control the test not covered by the  ...
+R/run_gsea.R#L64   control_inputs_create_gsea_report( ...
+R/run_gsea.R#L70   ) ...
+R/run_gsea.R#L72   ensure_clusterProfiler() # Deals with  ...
+R/run_gsea.R#L74   all_results <- map2( ...
+R/run_gsea.R#L78       .x, ...
+R/run_gsea.R#L79       .y, ...
+R/run_gsea.R#L80       databases, ...
+R/run_gsea.R#L81       clusterProfiler_params, ...
+R/run_gsea.R#L82       universe ...
+R/run_gsea.R#L84   ) ...
+R/run_gsea.R#L86   names(all_results) <- names(levels_clu ...
+R/run_gsea.R#L88   processed_results <- map2( ...
+R/run_gsea.R#L92   ) ...
+R/run_gsea.R#L94   # Extract the plots, plot sizes, and h ...
+R/run_gsea.R#L95   plots <- purrr::flatten(map(processed_ ...
+R/run_gsea.R#L96   plots_sizes <- unlist(map(processed_re ...
+R/run_gsea.R#L98   insert_after_each <- function(lst, val ...
+R/run_gsea.R#L103   } ...
+R/run_gsea.R#L105   plots <- insert_after_each(plots, "sec ...
+R/run_gsea.R#L106   plots_sizes <- insert_after_each(plots ...
+R/run_gsea.R#L108   level_headers_info <- map(processed_re ...
+R/run_gsea.R#L110   names(level_headers_info) <- names(all ...
+R/run_gsea.R#L113   report_info$databases <- unique(databa ...
+R/run_gsea.R#L115   generate_report_html( ...
+R/run_gsea.R#L123   ) ...
+R/run_gsea.R#L125   print_info_message( ...
+R/run_gsea.R#L128   ) ...
+R/run_gsea.R#L130   return(Filter(function(x) !is.characte ...
+R/run_gsea.R#L158   check_clustered_hits(levels_clustered_ ...
+R/run_gsea.R#L160   check_databases(databases) ...
+R/run_gsea.R#L162   check_params(params) ...
+R/run_gsea.R#L165   if (!is.na(plot_titles)) { ...
+R/run_gsea.R#L167       length(plot_titles) != length(leve ...
+R/run_gsea.R#L168       stop(paste( ...
+R/run_gsea.R#L171       ), call. = FALSE) ...
+R/run_gsea.R#L173   } ...
+R/run_gsea.R#L176   if (!is.null(background)) { ...
+R/run_gsea.R#L178       stop("background must be a charact ...
+R/run_gsea.R#L180       check_genes(background) ...
+R/run_gsea.R#L182   } ...
+R/run_gsea.R#L195   # Check if clusterProfiler is installe ...
+R/run_gsea.R#L196   if (!requireNamespace("clusterProfiler ...
+R/run_gsea.R#L201       user_input <- readline( ...
+R/run_gsea.R#L203           "What would you like to do?\n" ...
+R/run_gsea.R#L204           "1: Automatically install clus ...
+R/run_gsea.R#L205           "2: Manually install clusterPr ...
+R/run_gsea.R#L206           "3: Cancel\n", ...
+R/run_gsea.R#L207           "Please enter 1, 2, or 3: " ...
+R/run_gsea.R#L209       ) ...
+R/run_gsea.R#L211       if (user_input == "1") { ...
+R/run_gsea.R#L214           "Attempting to install 'cluste ...
+R/run_gsea.R#L215           from Bioconductor..." ...
+R/run_gsea.R#L219           utils::install.packages("BiocM ...
+R/run_gsea.R#L223           { ...
+R/run_gsea.R#L225           }, ...
+R/run_gsea.R#L226           error = function(e) { ...
+R/run_gsea.R#L228               "Automatic installation of ...
+R/run_gsea.R#L229               Please install it manually ...
+R/run_gsea.R#L230               call. = FALSE ...
+R/run_gsea.R#L232           } ...
+R/run_gsea.R#L235       } else if (user_input == "2") { ...
+R/run_gsea.R#L237           "Please install 'clusterProfil ...
+R/run_gsea.R#L238           using BiocManager::install('cl ...
+R/run_gsea.R#L239           then re-run the function.", ...
+R/run_gsea.R#L240           call. = FALSE ...
+R/run_gsea.R#L242       } else if (user_input == "3") { ...
+R/run_gsea.R#L244       } else { ...
+R/run_gsea.R#L246       } ...
+R/run_gsea.R#L248   } ...
+R/run_gsea.R#L278   clustered_hits <- na.omit(clustered_hi ...
+R/run_gsea.R#L280   message(paste( ...
+R/run_gsea.R#L283   )) ...
+R/run_gsea.R#L285   result <- create_gsea_report_level( ...
+R/run_gsea.R#L291   ) ...
+R/run_gsea.R#L317   result <- list() ...
+R/run_gsea.R#L319   if (any(is.na(level_result))) { ...
+R/run_gsea.R#L323       header_name = level_name, ...
+R/run_gsea.R#L324       full_enrich_results = NA ...
+R/run_gsea.R#L326   } else { ...
 R/run_gsea.R#L330       header_name = level_name, ...
-R/run_gsea.R#L331       full_enrich_results = NA ...
-R/run_gsea.R#L333   } else { ...
-R/run_gsea.R#L337       header_name = level_name, ...
-R/run_gsea.R#L338       full_enrich_results = level_result ...
-R/run_gsea.R#L339       raw_enrich_results = level_result$ ...
-R/run_gsea.R#L341   } ...
-R/run_gsea.R#L343   return(result) ...
-R/run_gsea.R#L385   html_content <- paste( ...
-R/run_gsea.R#L391   toc <- create_toc() ...
-R/run_gsea.R#L393   styles <- define_html_styles() ...
-R/run_gsea.R#L394   section_header_style <- styles$section ...
-R/run_gsea.R#L395   toc_style <- styles$toc_style ...
-R/run_gsea.R#L397   current_header_index <- 1 ...
-R/run_gsea.R#L398   level_headers_info <- Filter( ...
-R/run_gsea.R#L403   pb <- create_progress_bar(plots) ...
-R/run_gsea.R#L404   # Generate the sections and plots ...
-R/run_gsea.R#L405   for (index in seq_along(plots)) { ...
-R/run_gsea.R#L410       section_info <- level_headers_info ...
-R/run_gsea.R#L412       section_content <- generate_sectio ...
-R/run_gsea.R#L419       ) ...
-R/run_gsea.R#L421       html_content <- section_content$ht ...
-R/run_gsea.R#L422       # toc <- section_content$toc ...
-R/run_gsea.R#L424       current_header_index <- current_he ...
-R/run_gsea.R#L426       pb$tick() ...
-R/run_gsea.R#L427       next ...
-R/run_gsea.R#L433       "<h2 style='%s' id='section%d'>%s< ...
-R/run_gsea.R#L434       section_header_style, ...
-R/run_gsea.R#L435       index, ...
-R/run_gsea.R#L436       section_info$header_name ...
-R/run_gsea.R#L442       horizontal_line <- "<hr>" ...
-R/run_gsea.R#L447       html_content, ...
-R/run_gsea.R#L448       horizontal_line, ...
-R/run_gsea.R#L449       section_header, ...
-R/run_gsea.R#L450       sep = "\n" ...
-R/run_gsea.R#L454       "<li style='%s'><a href='#section% ...
-R/run_gsea.R#L455       toc_style, ...
-R/run_gsea.R#L456       index, ...
-R/run_gsea.R#L457       section_info$header_name ...
-R/run_gsea.R#L461       toc, ...
-R/run_gsea.R#L462       toc_entry, ...
-R/run_gsea.R#L463       sep = "\n" ...
-R/run_gsea.R#L464       ) ...
-R/run_gsea.R#L467       plots_element = plots[[index]], ...
-R/run_gsea.R#L468       plots_size = plots_sizes[[index]], ...
-R/run_gsea.R#L469       html_content = html_content, ...
-R/run_gsea.R#L470       toc = toc, ...
-R/run_gsea.R#L471       header_index = index ...
-R/run_gsea.R#L477   } ...
-R/run_gsea.R#L479   generate_and_write_html( ...
-R/run_gsea.R#L484   ) ...
-R/run_gsea.R#L509   if (!is.list(levels_clustered_hits)) { ...
-R/run_gsea.R#L511   } ...
-R/run_gsea.R#L513   for (i in seq_along(levels_clustered_h ...
-R/run_gsea.R#L519       stop(paste("Element", i ,"of level ...
-R/run_gsea.R#L520                  "but must be one."), ca ...
-R/run_gsea.R#L526       stop(paste("The dataframe must con ...
-R/run_gsea.R#L527                  "'cluster'."), ...
-R/run_gsea.R#L528            call. = FALSE) ...
-R/run_gsea.R#L534       stop("The 'feature' column must co ...
-R/run_gsea.R#L540       stop("The 'cluster' column must co ...
-R/run_gsea.R#L542   } ...
-R/run_gsea.R#L566   if (!is.na(max_index_overall)) { ...
-R/run_gsea.R#L568       stop(paste("genes must at least ha ...
-R/run_gsea.R#L569                  "elements"), ...
-R/run_gsea.R#L570            call. = FALSE) ...
+R/run_gsea.R#L331       full_enrich_results = level_result ...
+R/run_gsea.R#L332       raw_enrich_results = level_result$ ...
+R/run_gsea.R#L334   } ...
+R/run_gsea.R#L336   return(result) ...
+R/run_gsea.R#L376   html_content <- paste( ...
+R/run_gsea.R#L380   ) ...
+R/run_gsea.R#L382   toc <- create_toc() ...
+R/run_gsea.R#L384   styles <- define_html_styles() ...
+R/run_gsea.R#L385   section_header_style <- styles$section ...
+R/run_gsea.R#L386   toc_style <- styles$toc_style ...
+R/run_gsea.R#L388   current_header_index <- 1 ...
+R/run_gsea.R#L389   level_headers_info <- Filter( ...
+R/run_gsea.R#L392   ) ...
+R/run_gsea.R#L394   pb <- create_progress_bar(plots) ...
+R/run_gsea.R#L395   # Generate the sections and plots ...
+R/run_gsea.R#L396   for (index in seq_along(plots)) { ...
+R/run_gsea.R#L399       section_info <- level_headers_info ...
+R/run_gsea.R#L401       section_content <- generate_sectio ...
+R/run_gsea.R#L408       ) ...
+R/run_gsea.R#L410       html_content <- section_content$ht ...
+R/run_gsea.R#L411       # toc <- section_content$toc ...
+R/run_gsea.R#L413       current_header_index <- current_he ...
+R/run_gsea.R#L415       pb$tick() ...
+R/run_gsea.R#L416       next ...
+R/run_gsea.R#L422       "<h2 style='%s' id='section%d'>%s< ...
+R/run_gsea.R#L423       section_header_style, ...
+R/run_gsea.R#L424       index, ...
+R/run_gsea.R#L425       section_info$header_name ...
+R/run_gsea.R#L431       horizontal_line <- "<hr>" ...
+R/run_gsea.R#L436       html_content, ...
+R/run_gsea.R#L437       horizontal_line, ...
+R/run_gsea.R#L438       section_header, ...
+R/run_gsea.R#L439       sep = "\n" ...
+R/run_gsea.R#L443       "<li style='%s'><a href='#section% ...
+R/run_gsea.R#L444       toc_style, ...
+R/run_gsea.R#L445       index, ...
+R/run_gsea.R#L446       section_info$header_name ...
+R/run_gsea.R#L450       toc, ...
+R/run_gsea.R#L451       toc_entry, ...
+R/run_gsea.R#L452       sep = "\n" ...
+R/run_gsea.R#L456       plots_element = plots[[index]], ...
+R/run_gsea.R#L457       plots_size = plots_sizes[[index]], ...
+R/run_gsea.R#L458       html_content = html_content, ...
+R/run_gsea.R#L459       toc = toc, ...
+R/run_gsea.R#L460       header_index = index ...
+R/run_gsea.R#L466   } ...
+R/run_gsea.R#L468   generate_and_write_html( ...
+R/run_gsea.R#L473   ) ...
+R/run_gsea.R#L497   if (!is.list(levels_clustered_hits)) { ...
+R/run_gsea.R#L499   } ...
+R/run_gsea.R#L501   for (i in seq_along(levels_clustered_h ...
+R/run_gsea.R#L506       stop(paste( ...
+R/run_gsea.R#L509       ), call. = FALSE) ...
+R/run_gsea.R#L515       stop( ...
+R/run_gsea.R#L517           "The dataframe must contain th ...
+R/run_gsea.R#L518           "'cluster'." ...
+R/run_gsea.R#L521       ) ...
+R/run_gsea.R#L526       !all(clustered_hits$feature == as. ...
+R/run_gsea.R#L527       stop("The 'feature' column must co ...
+R/run_gsea.R#L532       !all(clustered_hits$cluster == as. ...
+R/run_gsea.R#L533       stop("The 'cluster' column must co ...
+R/run_gsea.R#L535   } ...
+R/run_gsea.R#L557   if (!is.na(max_index_overall)) { ...
+R/run_gsea.R#L559       stop( ...
+R/run_gsea.R#L561           "genes must at least have over ...
+R/run_gsea.R#L562           "elements" ...
+R/run_gsea.R#L565       ) ...
+R/run_gsea.R#L567   } ...
+R/run_gsea.R#L570   if (!is.character(genes)) { ...
 R/run_gsea.R#L572   } ...
-R/run_gsea.R#L575   if (!is.character(genes)) { ...
-R/run_gsea.R#L577   } ...
-R/run_gsea.R#L579   valid <- grepl("^[a-zA-Z0-9]+$", genes ...
-R/run_gsea.R#L580   if (any(!valid)) { ...
-R/run_gsea.R#L585                  "There are %d more inva ...
-R/run_gsea.R#L586                  first_invalid_index, fi ...
-R/run_gsea.R#L587          call. = FALSE) ...
-R/run_gsea.R#L588   } ...
+R/run_gsea.R#L574   valid <- grepl("^[a-zA-Z0-9]+$", genes ...
+R/run_gsea.R#L575   if (any(!valid)) { ...
+R/run_gsea.R#L580       sprintf( ...
+R/run_gsea.R#L582           "Invalid gene found at index % ...
+R/run_gsea.R#L583           "There are %d more invalid ele ...
+R/run_gsea.R#L586       ), ...
+R/run_gsea.R#L587       call. = FALSE ...
+R/run_gsea.R#L589   } ...
 R/run_gsea.R#L606   if (!is.data.frame(databases)) { ...
 R/run_gsea.R#L608   } ...
 R/run_gsea.R#L610   if (ncol(databases) != 3) { ...
 R/run_gsea.R#L612   } ...
 R/run_gsea.R#L614   expected_colnames <- c("DB", "Geneset" ...
 R/run_gsea.R#L615   if (!all(colnames(databases) == expect ...
-R/run_gsea.R#L617          call. = FALSE) ...
-R/run_gsea.R#L618   } ...
-R/run_gsea.R#L620   if (!all(sapply(databases, is.characte ...
-R/run_gsea.R#L622          call. = FALSE) ...
+R/run_gsea.R#L617       call. = FALSE ...
+R/run_gsea.R#L619   } ...
+R/run_gsea.R#L621   if (!all(vapply(databases, is.characte ...
 R/run_gsea.R#L623   } ...
-R/run_gsea.R#L648   required_params <- list( ...
-R/run_gsea.R#L654   ) ...
-R/run_gsea.R#L656   # Check if params is a list ...
-R/run_gsea.R#L657   if (!is.list(params)) { ...
-R/run_gsea.R#L659   } ...
-R/run_gsea.R#L661   # Check for extra elements ...
-R/run_gsea.R#L662   extra_params <- setdiff(names(params), ...
-R/run_gsea.R#L663   if (length(extra_params) > 0) { ...
-R/run_gsea.R#L665       paste( ...
-R/run_gsea.R#L670       ) ...
-R/run_gsea.R#L672   } ...
-R/run_gsea.R#L674   valid_adj_p_value_methods <- stats::p. ...
-R/run_gsea.R#L676   # Check for required elements and thei ...
-R/run_gsea.R#L677   for (param in names(params)) { ...
-R/run_gsea.R#L681       actual_value <- params[[param]] ...
-R/run_gsea.R#L682       expected_type <- required_params[[ ...
-R/run_gsea.R#L683       actual_type <- class(params[[param ...
-R/run_gsea.R#L685       if (is.null(actual_value)) { ...
-R/run_gsea.R#L687       } ...
-R/run_gsea.R#L689       if (expected_type == "integer" &&  ...
-R/run_gsea.R#L695           actual_type <- "integer" ...
-R/run_gsea.R#L697       } ...
-R/run_gsea.R#L698       if (expected_type != actual_type)  ...
-R/run_gsea.R#L701              expected_type, ".", call. = ...
-R/run_gsea.R#L702       } ...
-R/run_gsea.R#L704       stop( ...
-R/run_gsea.R#L713       if (!(actual_value %in% valid_adj_ ...
-R/run_gsea.R#L715                    valid_adj_p_value_met ...
-R/run_gsea.R#L716              call. = FALSE) ...
-R/run_gsea.R#L718       } ...
-R/run_gsea.R#L721   } ...
-R/run_gsea.R#L757   set_default_params(params) ...
-R/run_gsea.R#L759   all_term2genes <- dbs_to_term2genes(da ...
-R/run_gsea.R#L762   ## Prepare objects ...
-R/run_gsea.R#L763   unique_clusters <- sort(unique(cluster ...
-R/run_gsea.R#L765   all_db_results <- vector("list", lengt ...
-R/run_gsea.R#L767   for (i in seq_along(all_db_results)) { ...
-R/run_gsea.R#L769   } ...
-R/run_gsea.R#L771   raw_results <- list() ...
-R/run_gsea.R#L773   for (cluster in unique_clusters) { ...
-R/run_gsea.R#L777       column_name <- paste("Cluster", cl ...
-R/run_gsea.R#L778       count_column_name <- paste0(column ...
-R/run_gsea.R#L780       # Initialize the column as an empt ...
-R/run_gsea.R#L781       if (nrow(all_db_results[[i]]) == 0 ...
-R/run_gsea.R#L784           vector("logical", length = 0) ...
-R/run_gsea.R#L785       } else { ...
-R/run_gsea.R#L788       } ...
-R/run_gsea.R#L802       term2gene <- all_term2genes[[datab ...
-R/run_gsea.R#L804       message(paste( ...
-R/run_gsea.R#L809       enrichment <- ...
-R/run_gsea.R#L811           gene = gene_list, ...
-R/run_gsea.R#L812           pvalueCutoff  = params$pvalueC ...
-R/run_gsea.R#L813           pAdjustMethod = params$pAdjust ...
-R/run_gsea.R#L814           universe      = universe, ...
-R/run_gsea.R#L815           minGSSize     = params$minGSSi ...
-R/run_gsea.R#L816           maxGSSize     = params$maxGSSi ...
-R/run_gsea.R#L817           qvalueCutoff  = params$qvalueC ...
-R/run_gsea.R#L818           gson          = NULL, ...
-R/run_gsea.R#L819           TERM2GENE     = term2gene, ...
-R/run_gsea.R#L820           TERM2NAME     = NA ...
-R/run_gsea.R#L821           ) ...
-R/run_gsea.R#L823       enrichment <- as.data.frame(enrich ...
-R/run_gsea.R#L825       if (is.null(enrichment) || (nrow(e ...
-R/run_gsea.R#L826                                   ncol(e ...
-R/run_gsea.R#L828       } ...
-R/run_gsea.R#L830       at_least_one_result = TRUE ...
-R/run_gsea.R#L832       enrichment_results[[length(enrichm ...
-R/run_gsea.R#L834       # Store all for returning in the e ...
-R/run_gsea.R#L835       name <- sprintf( ...
-R/run_gsea.R#L841       raw_results[[name]] <- enrichment ...
-R/run_gsea.R#L845       use_background = TRUE ...
-R/run_gsea.R#L847       use_background = FALSE ...
-R/run_gsea.R#L851       all_db_results <- process_enrichme ...
-R/run_gsea.R#L858       ) ...
-R/run_gsea.R#L860       print(paste0("No enrichment result ...
-R/run_gsea.R#L862   } ...
-R/run_gsea.R#L864   # Make dotplot ...
-R/run_gsea.R#L865   any_result <- sapply(all_db_results, f ...
-R/run_gsea.R#L866   has_true <- any(any_result) ...
-R/run_gsea.R#L868   if (has_true) { ...
-R/run_gsea.R#L870       all_db_results, ...
-R/run_gsea.R#L871       names(all_term2genes), ...
-R/run_gsea.R#L872       plot_title ...
-R/run_gsea.R#L873       ) ...
-R/run_gsea.R#L874   } else { ...
-R/run_gsea.R#L877   } ...
-R/run_gsea.R#L879   list( ...
-R/run_gsea.R#L911   if (any(is.na(section_info$full_enrich ...
-R/run_gsea.R#L914       "<p style='font-size: 40px; color: ...
-R/run_gsea.R#L915       "No database specified led to iden ...
-R/run_gsea.R#L916       "terms.", ...
-R/run_gsea.R#L917       "</p>" ...
-R/run_gsea.R#L921       html_content, ...
-R/run_gsea.R#L922       no_results_message, ...
-R/run_gsea.R#L923       sep = "\n" ...
-R/run_gsea.R#L927       html_content = html_content ...
-R/run_gsea.R#L929   } ...
-R/run_gsea.R#L931   full_enrich_results_header <- paste0( ...
-R/run_gsea.R#L936   df <- section_info$full_enrich_results ...
-R/run_gsea.R#L938   # Start the HTML table with the specif ...
-R/run_gsea.R#L939   html_table <- "<table style='width:100 ...
-R/run_gsea.R#L941   # Add the table header ...
-R/run_gsea.R#L942   html_table <- paste0(html_table, "<the ...
-R/run_gsea.R#L943   for (header in colnames(df)) { ...
-R/run_gsea.R#L945   } ...
-R/run_gsea.R#L946   html_table <- paste0(html_table, "</tr ...
-R/run_gsea.R#L948   # Add the table rows ...
-R/run_gsea.R#L949   for (i in 1:nrow(df)) { ...
-R/run_gsea.R#L952       html_table <- paste0(html_table, " ...
-R/run_gsea.R#L955   } ...
-R/run_gsea.R#L957   # Close the table body and the table t ...
-R/run_gsea.R#L958   full_enrich_results_html <- paste0(htm ...
-R/run_gsea.R#L960   raw_enrich_results_header <- paste0( ...
-R/run_gsea.R#L965   base64_df <- sprintf( ...
-R/run_gsea.R#L967   <button>Download count2small_results.x ...
-R/run_gsea.R#L969       section_info$raw_enrich_results, ...
-R/run_gsea.R#L970       "create_gsea_report" ...
-R/run_gsea.R#L972   ) ...
-R/run_gsea.R#L974   html_content <- paste( ...
-R/run_gsea.R#L981   ) ...
-R/run_gsea.R#L983   list( ...
-R/run_gsea.R#L985   ) ...
-R/run_gsea.R#L1008   default_params <- list( ...
-R/run_gsea.R#L1014   ) ...
-R/run_gsea.R#L1016   if (any(is.na(params))) { ...
-R/run_gsea.R#L1018   } else { ...
-R/run_gsea.R#L1022       params[[param]] <- default_params[ ...
-R/run_gsea.R#L1024   } ...
-R/run_gsea.R#L1026   return(params) ...
-R/run_gsea.R#L1050   db_split <- split(databases, databases ...
-R/run_gsea.R#L1052   # Transform into long format ...
-R/run_gsea.R#L1053   all_term2genes <- lapply(db_split, fun ...
-R/run_gsea.R#L1058   }) ...
-R/run_gsea.R#L1060   names(all_term2genes) <- names(db_spli ...
-R/run_gsea.R#L1062   return(all_term2genes) ...
-R/run_gsea.R#L1090   column_indices <- list(2, 6, 3, 4, 9) ...
-R/run_gsea.R#L1092   # Process results for all databases. ...
-R/run_gsea.R#L1093   for (i in seq_along(enrichment_results ...
-R/run_gsea.R#L1098       next ...
-R/run_gsea.R#L1116       # Create a sublist for each term w ...
-R/run_gsea.R#L1118       # Skip terms that are just support ...
-R/run_gsea.R#L1119       if (gene_count_list[j] < 2) { ...
-R/run_gsea.R#L1121       } ...
-R/run_gsea.R#L1123       sublist <- list(adjP_list[j], odds ...
-R/run_gsea.R#L1125       # Assign this sublist to named_lis ...
-R/run_gsea.R#L1126       term <- as.character(term_list[j]) ...
-R/run_gsea.R#L1127       named_list[[term]] <- sublist ...
-R/run_gsea.R#L1132       if (!name %in% all_db_results[[i]] ...
-R/run_gsea.R#L1138           named_list[[name]][[2]] ...
-R/run_gsea.R#L1140       } else { ...
-R/run_gsea.R#L1144           named_list[[name]][[2]] ...
-R/run_gsea.R#L1145       } ...
-R/run_gsea.R#L1147   } ...
-R/run_gsea.R#L1148   return(all_db_results) ...
-R/run_gsea.R#L1270   results <- prepare_plot_data( ...
-R/run_gsea.R#L1273   ) ...
-R/run_gsea.R#L1275   top_plot_data <- results$top_plot_data ...
-R/run_gsea.R#L1276   full_enrich_results <- results$full_en ...
-R/run_gsea.R#L1278   # Calculate plot height based on the n ...
-R/run_gsea.R#L1279   height_per_label <- 0.1 ...
-R/run_gsea.R#L1280   num_labels <- length(unique(top_plot_d ...
-R/run_gsea.R#L1281   plot_height <- num_labels * height_per ...
-R/run_gsea.R#L1283   if (plot_height < 0.70) {  # to always ...
-R/run_gsea.R#L1285   } ...
-R/run_gsea.R#L1287   # Ensure term labels are truncated to  ...
-R/run_gsea.R#L1288   top_plot_data$term <- as.character(top ...
-R/run_gsea.R#L1289   top_plot_data$term <- ifelse( ...
-R/run_gsea.R#L1293   ) ...
-R/run_gsea.R#L1295   p <- ggplot2::ggplot( ...
-R/run_gsea.R#L1298       .data$cluster, ...
-R/run_gsea.R#L1299       .data$term, ...
-R/run_gsea.R#L1300       size = -log10(.data$adj.p_value) ...
-R/run_gsea.R#L1302   ) + ...
-R/run_gsea.R#L1304       aes(color = .data$odds_ratios), ...
-R/run_gsea.R#L1305       na.rm = TRUE ...
-R/run_gsea.R#L1308       .data$cluster, ...
-R/run_gsea.R#L1309       .data$term ...
-R/run_gsea.R#L1313       "odds\nratio", ...
-R/run_gsea.R#L1314       low = "blue", ...
-R/run_gsea.R#L1315       high = "red", ...
-R/run_gsea.R#L1316       labels = function(x) round(x, 2), ...
-R/run_gsea.R#L1317       guide = ggplot2::guide_colorbar( ...
-R/run_gsea.R#L1321       ) ...
-R/run_gsea.R#L1324       max_size = 3, ...
-R/run_gsea.R#L1325       limits = c(0, 2), ...
-R/run_gsea.R#L1326       breaks = c(0, 1, 2), ...
-R/run_gsea.R#L1327       labels = c("0", "1", "2 or higher" ...
-R/run_gsea.R#L1328       oob = scales::oob_squish ...
-R/run_gsea.R#L1332       panel.grid.major.x = ggplot2::elem ...
-R/run_gsea.R#L1333       panel.grid.minor.x = ggplot2::elem ...
-R/run_gsea.R#L1334       panel.grid.major.y = ggplot2::elem ...
-R/run_gsea.R#L1335       panel.grid.minor.y = ggplot2::elem ...
-R/run_gsea.R#L1336       plot.title = ggplot2::element_text ...
-R/run_gsea.R#L1337       axis.text.y = ggplot2::element_tex ...
-R/run_gsea.R#L1338       axis.text.x = ggplot2::element_tex ...
-R/run_gsea.R#L1339       legend.text = ggplot2::element_tex ...
-R/run_gsea.R#L1340       legend.title = ggplot2::element_te ...
-R/run_gsea.R#L1341       legend.key.height = unit(4, "mm"), ...
-R/run_gsea.R#L1342       legend.key.width = unit(3, "mm"), ...
-R/run_gsea.R#L1343       legend.spacing = ggplot2::unit(0,  ...
-R/run_gsea.R#L1344       legend.spacing.y = ggplot2::unit(0 ...
-R/run_gsea.R#L1345       plot.margin = ggplot2::unit(c(2, 0 ...
-R/run_gsea.R#L1346       legend.position = "right", ...
-R/run_gsea.R#L1347       legend.box.margin = ggplot2::margi ...
-R/run_gsea.R#L1353   list( ...
-R/run_gsea.R#L1357   ) ...
-R/run_gsea.R#L1395   plot_data <- ...
-R/run_gsea.R#L1402       .data$p_odd, ...
-R/run_gsea.R#L1403       c("Cluster_", cluster = "\\d+", "_ ...
-R/run_gsea.R#L1404       too_few = "align_start" ...
-R/run_gsea.R#L1409   plot_data <- plot_data |> ...
-R/run_gsea.R#L1414       dplyr::desc(.data$avg_odds_ratio), ...
-R/run_gsea.R#L1415       .data$db, .data$BioProcess ...
-R/run_gsea.R#L1416       ) ...
-R/run_gsea.R#L1418   # Initialize the cluster counts ...
-R/run_gsea.R#L1419   cluster_counts <- ...
-R/run_gsea.R#L1421   names(cluster_counts) <- as.character( ...
-R/run_gsea.R#L1423   selected_combos <- list() ...
-R/run_gsea.R#L1425   min_threshold <- 5 ...
-R/run_gsea.R#L1427   # Iterate through combinations ...
-R/run_gsea.R#L1428   i <- 1 ...
-R/run_gsea.R#L1429   while (i <= nrow(plot_data)) { ...
-R/run_gsea.R#L1440       dplyr::filter( ...
-R/run_gsea.R#L1444       ) ...
-R/run_gsea.R#L1448       table(relevant_rows$cluster[!is.na ...
-R/run_gsea.R#L1457       # Temporarily update cluster count ...
-R/run_gsea.R#L1458       temp_cluster_counts <- cluster_cou ...
-R/run_gsea.R#L1459       temp_cluster_counts[combo_clusters ...
-R/run_gsea.R#L1462       # Final check to ensure we don't e ...
-R/run_gsea.R#L1463       # threshold. This step might seem  ...
-R/run_gsea.R#L1464       # could be adjusted for more compl ...
-R/run_gsea.R#L1465       if (any(temp_cluster_counts <= min ...
-R/run_gsea.R#L1466               temp_cluster_counts > min_ ...
-R/run_gsea.R#L1470       } ...
-R/run_gsea.R#L1478       break ...
-R/run_gsea.R#L1482   } ...
-R/run_gsea.R#L1484   # Combine selected combos into a dataf ...
-R/run_gsea.R#L1485   top_combos <- do.call( ...
-R/run_gsea.R#L1490   # Filter the original data to keep onl ...
-R/run_gsea.R#L1491   top_plot_data <- plot_data |> ...
-R/run_gsea.R#L1493       top_combos, ...
-R/run_gsea.R#L1494       by = c( ...
-R/run_gsea.R#L1498       ) ...
-R/run_gsea.R#L1500   full_enrich_results <- stats::na.omit( ...
-R/run_gsea.R#L1502   top_plot_data <- top_plot_data |> ...
-R/run_gsea.R#L1504       .data$db, ...
-R/run_gsea.R#L1505       .data$BioProcess, ...
-R/run_gsea.R#L1506       col = "term", ...
-R/run_gsea.R#L1507       sep = ": " ...
-R/run_gsea.R#L1508       ) ...
-R/run_gsea.R#L1510   top_plot_data$term <- factor( ...
-R/run_gsea.R#L1515   list( ...
-R/run_limma_splines.R#L3   ...
-R/run_limma_splines.R#L61   check_splineomics_elements( ...
-R/run_limma_splines.R#L64   ) ...
-R/run_limma_splines.R#L65    ...
-R/run_limma_splines.R#L66   args <- lapply( ...
-R/run_limma_splines.R#L71    ...
-R/run_limma_splines.R#L72   check_null_elements(args) ...
-R/run_limma_splines.R#L73   input_control <- InputControl$new(args ...
-R/run_limma_splines.R#L74   input_control$auto_validate() ...
-R/run_limma_splines.R#L75    ...
-R/run_limma_splines.R#L76   data <- splineomics[["data"]] ...
-R/run_limma_splines.R#L77   rna_seq_data <- splineomics[["rna_seq_ ...
-R/run_limma_splines.R#L78   meta <- splineomics[["meta"]] ...
-R/run_limma_splines.R#L79   spline_params <- splineomics[["spline_ ...
-R/run_limma_splines.R#L80   padjust_method <- splineomics[["padjus ...
-R/run_limma_splines.R#L81   design <- splineomics[["design"]] ...
-R/run_limma_splines.R#L82   mode <- splineomics[["mode"]] ...
-R/run_limma_splines.R#L83   condition <- splineomics[["condition"] ...
-R/run_limma_splines.R#L84    ...
-R/run_limma_splines.R#L85   feature_names <- rownames(data) ...
-R/run_limma_splines.R#L86    ...
-R/run_limma_splines.R#L87   rownames(data) <- NULL   # To just hav ...
-R/run_limma_splines.R#L89   meta[[condition]] <- factor(meta[[cond ...
-R/run_limma_splines.R#L90   levels <- levels(meta[[condition]]) ...
-R/run_limma_splines.R#L92   # Get hits for level (within level ana ...
-R/run_limma_splines.R#L93   process_level_with_params <- purrr::pa ...
-R/run_limma_splines.R#L105    ...
-R/run_limma_splines.R#L106   results_list <- purrr::imap( ...
-R/run_limma_splines.R#L110    ...
-R/run_limma_splines.R#L111   within_level_top_table <-  ...
-R/run_limma_splines.R#L113       purrr::map(results_list, "top_tabl ...
-R/run_limma_splines.R#L114       purrr::map_chr(results_list, "name ...
-R/run_limma_splines.R#L115       ) ...
-R/run_limma_splines.R#L117   # Factor and Factor:Time comparisons b ...
-R/run_limma_splines.R#L118   between_level_condition_only <- list() ...
-R/run_limma_splines.R#L119   between_level_condition_time <- list() ...
-R/run_limma_splines.R#L120    ...
-R/run_limma_splines.R#L121   if (mode == "integrated") { ...
-R/run_limma_splines.R#L124       result <- between_level( ...
-R/run_limma_splines.R#L135        ...
-R/run_limma_splines.R#L136       between_level_condition_only[[ ...
-R/run_limma_splines.R#L138           "avrg_diff_" ,lev_combo[1], ...
-R/run_limma_splines.R#L139           "_vs_", lev_combo[2] ...
-R/run_limma_splines.R#L140           ) ...
-R/run_limma_splines.R#L142        ...
-R/run_limma_splines.R#L143       between_level_condition_time[[ ...
-R/run_limma_splines.R#L145           "time_interaction_" , ...
-R/run_limma_splines.R#L146           lev_combo[1], ...
-R/run_limma_splines.R#L147           "_vs_", lev_combo[2] ...
-R/run_limma_splines.R#L148           ) ...
-R/run_limma_splines.R#L151   } else { # mode == "isolated" ...
-R/run_limma_splines.R#L153       "mode == 'integrated' necessary fo ...
-R/run_limma_splines.R#L154       "comparisons. Returning emtpy list ...
-R/run_limma_splines.R#L155       (avrg diff conditions, and interac ...
-R/run_limma_splines.R#L156       )) ...
-R/run_limma_splines.R#L157   } ...
-R/run_limma_splines.R#L158    ...
-R/run_limma_splines.R#L159   message("\033[32mInfo\033[0m limma spl ...
-R/run_limma_splines.R#L160    ...
-R/run_limma_splines.R#L161   limma_splines_result <- list( ...
-R/run_limma_splines.R#L162    time_effect = within_level_top_table, ...
-R/run_limma_splines.R#L163    avrg_diff_conditions = between_level_ ...
-R/run_limma_splines.R#L164    interaction_condition_time = between_ ...
-R/run_limma_splines.R#L165    ) ...
-R/run_limma_splines.R#L167   splineomics <- update_splineomics( ...
-R/run_limma_splines.R#L170  ) ...
-R/run_limma_splines.R#L222    ...
-R/run_limma_splines.R#L223   samples <- which(meta[[condition]] %in ...
-R/run_limma_splines.R#L224   data <- data[, samples] ...
-R/run_limma_splines.R#L226   # meta <- subset(meta, meta[[condition ...
-R/run_limma_splines.R#L227   meta <- meta[meta[[condition]] %in% co ...
-R/run_limma_splines.R#L228    ...
-R/run_limma_splines.R#L229   design_matrix <- design2design_matrix( ...
-R/run_limma_splines.R#L236   if (!is.null(rna_seq_data)) { ...
-R/run_limma_splines.R#L238   } ...
-R/run_limma_splines.R#L239    ...
-R/run_limma_splines.R#L240   fit <- limma::lmFit( ...
-R/run_limma_splines.R#L244   fit <- limma::eBayes(fit) ...
-R/run_limma_splines.R#L246   factor_only_contrast_coeff <- paste0( ...
-R/run_limma_splines.R#L250   condition_only <- limma::topTable( ...
-R/run_limma_splines.R#L256    ...
-R/run_limma_splines.R#L257   condition_only_resuls <- list( ...
-R/run_limma_splines.R#L261   top_table_condition_only <- process_to ...
-R/run_limma_splines.R#L265    ...
-R/run_limma_splines.R#L266    ...
-R/run_limma_splines.R#L267   num_matching_columns <- sum( ...
-R/run_limma_splines.R#L269       "^X\\d+$", ...
-R/run_limma_splines.R#L270       colnames(design_matrix) ...
-R/run_limma_splines.R#L271       ) ...
-R/run_limma_splines.R#L273    ...
-R/run_limma_splines.R#L274   factor_time_contrast_coeffs <- paste0( ...
-R/run_limma_splines.R#L280    ...
-R/run_limma_splines.R#L281   condition_time <- limma::topTable( ...
-R/run_limma_splines.R#L287    ...
-R/run_limma_splines.R#L288   condition_and_time_results <- list( ...
-R/run_limma_splines.R#L292   top_table_condition_and_time <- proces ...
-R/run_limma_splines.R#L296    ...
-R/run_limma_splines.R#L297   list( ...
-R/run_limma_splines.R#L345    ...
-R/run_limma_splines.R#L346   if (mode == "isolated") { ...
-R/run_limma_splines.R#L350   } else { # mode == "integrated" ...
-R/run_limma_splines.R#L354       meta_copy[[condition]],  ...
-R/run_limma_splines.R#L355       ref = level ...
-R/run_limma_splines.R#L356       ) ...
-R/run_limma_splines.R#L359   } ...
-R/run_limma_splines.R#L360    ...
-R/run_limma_splines.R#L361   result <- process_within_level( ...
-R/run_limma_splines.R#L371   top_table <- process_top_table( ...
-R/run_limma_splines.R#L375    ...
-R/run_limma_splines.R#L376   results_name <- paste( ...
-R/run_limma_splines.R#L382   list( ...
-R/run_limma_splines.R#L415   top_table <- process_within_level_resu ...
-R/run_limma_splines.R#L416   fit <- process_within_level_result$fit ...
-R/run_limma_splines.R#L418   top_table <- modify_limma_top_table( ...
-R/run_limma_splines.R#L423   intercepts <- as.data.frame(stats::coe ...
-R/run_limma_splines.R#L424   intercepts_ordered <- intercepts[top_t ...
-R/run_limma_splines.R#L425   top_table$intercept <- intercepts_orde ...
-R/run_limma_splines.R#L427   top_table ...
-R/run_limma_splines.R#L468   design_matrix <- design2design_matrix( ...
-R/run_limma_splines.R#L475   if (!is.null(rna_seq_data)) { ...
-R/run_limma_splines.R#L477   } ...
-R/run_limma_splines.R#L479   fit <- limma::lmFit( ...
-R/run_limma_splines.R#L483   fit <- limma::eBayes(fit) ...
-R/run_limma_splines.R#L485   num_matching_columns <- sum(grepl( ...
-R/run_limma_splines.R#L489   coeffs <- paste0("X", seq_len(num_matc ...
-R/run_limma_splines.R#L490    ...
-R/run_limma_splines.R#L491   top_table <- limma::topTable( ...
-R/run_limma_splines.R#L498   attr(top_table, "adjust.method") <- pa ...
-R/run_limma_splines.R#L500   list( ...
-R/run_limma_splines.R#L528    ...
-R/run_limma_splines.R#L529   is_integer_string <- function(x) { ...
-R/run_limma_splines.R#L531   } ...
-R/run_limma_splines.R#L532    ...
-R/run_limma_splines.R#L533   # Because the row headers of a potenti ...
-R/run_limma_splines.R#L534   # converted to ints (written as string ...
-R/run_limma_splines.R#L535   # the row headers are still "real" str ...
-R/run_limma_splines.R#L536   if (!all(sapply(rownames(top_table), i ...
-R/run_limma_splines.R#L538       rownames(top_table),  ...
-R/run_limma_splines.R#L539       function(id) { ...
-R/run_limma_splines.R#L544       } ...
-R/run_limma_splines.R#L546   } ...
-R/run_limma_splines.R#L547    ...
-R/run_limma_splines.R#L548   top_table <- tibble::as_tibble( ...
-R/run_limma_splines.R#L552    ...
-R/run_limma_splines.R#L553   # feature_nr <- NULL  # dummy declarat ...
-R/run_limma_splines.R#L555   # Convert feature_nr to integer ...
-R/run_limma_splines.R#L556   top_table <- top_table |>  ...
-R/run_limma_splines.R#L559    ...
-R/run_limma_splines.R#L560   # Sort and add feature names based on  ...
-R/run_limma_splines.R#L561   sorted_feature_names <- feature_names[ ...
-R/run_limma_splines.R#L562   top_table <- top_table |> dplyr::mutat ...
-R/run_limma_splines.R#L564   return(top_table) ...
-R/screen_limma_hyperparams.R#L72    ...
-R/screen_limma_hyperparams.R#L73   if (is.null(rna_seq_datas)) {  # Set t ...
-R/screen_limma_hyperparams.R#L75   } ...
-R/screen_limma_hyperparams.R#L77   report_dir <- normalizePath( ...
-R/screen_limma_hyperparams.R#L80   ) ...
-R/screen_limma_hyperparams.R#L81    ...
-R/screen_limma_hyperparams.R#L82   check_splineomics_elements( ...
-R/screen_limma_hyperparams.R#L85   ) ...
-R/screen_limma_hyperparams.R#L87   args <- lapply(as.list(match.call()[-1 ...
-R/screen_limma_hyperparams.R#L88   check_null_elements(args) ...
-R/screen_limma_hyperparams.R#L89   input_control <- InputControl$new(args ...
-R/screen_limma_hyperparams.R#L90   input_control$auto_validate() ...
-R/screen_limma_hyperparams.R#L91    ...
-R/screen_limma_hyperparams.R#L92   report_info <- splineomics[["report_in ...
-R/screen_limma_hyperparams.R#L93   meta_batch_column <- splineomics[["met ...
-R/screen_limma_hyperparams.R#L94   meta_batch2_column <- splineomics[["me ...
-R/screen_limma_hyperparams.R#L95   condition <- splineomics[["condition"] ...
-R/screen_limma_hyperparams.R#L97   feature_names <- rownames(datas[[1]]) ...
-R/screen_limma_hyperparams.R#L99   top_tables_combos <-  ...
-R/screen_limma_hyperparams.R#L101       datas = datas,  ...
-R/screen_limma_hyperparams.R#L102       rna_seq_datas = rna_seq_datas, ...
-R/screen_limma_hyperparams.R#L103       metas = metas,  ...
-R/screen_limma_hyperparams.R#L104       designs = designs,  ...
-R/screen_limma_hyperparams.R#L105       modes = modes,  ...
-R/screen_limma_hyperparams.R#L106       condition = condition,  ...
-R/screen_limma_hyperparams.R#L107       spline_test_configs = spline_test_ ...
-R/screen_limma_hyperparams.R#L108       feature_names = feature_names,  ...
-R/screen_limma_hyperparams.R#L109       adj_pthresholds = adj_pthresholds, ...
-R/screen_limma_hyperparams.R#L110       padjust_method = padjust_method ...
-R/screen_limma_hyperparams.R#L111       ) ...
-R/screen_limma_hyperparams.R#L113   combo_pair_plots <-  ...
-R/screen_limma_hyperparams.R#L115       top_tables_combos = top_tables_com ...
-R/screen_limma_hyperparams.R#L116       datas = datas,  ...
-R/screen_limma_hyperparams.R#L117       metas = metas, ...
-R/screen_limma_hyperparams.R#L118       condition = condition, ...
-R/screen_limma_hyperparams.R#L119       spline_test_configs = spline_test_ ...
-R/screen_limma_hyperparams.R#L120       meta_batch_column = meta_batch_col ...
-R/screen_limma_hyperparams.R#L121       meta_batch2_column = meta_batch2_c ...
-R/screen_limma_hyperparams.R#L122       time_unit = time_unit ...
-R/screen_limma_hyperparams.R#L123       ) ...
-R/screen_limma_hyperparams.R#L125   timestamp <- format(Sys.time(), "%d_%m ...
-R/screen_limma_hyperparams.R#L126    ...
-R/screen_limma_hyperparams.R#L127   report_info$meta_condition <- c(condit ...
-R/screen_limma_hyperparams.R#L128   report_info$meta_batch <- paste( ...
-R/screen_limma_hyperparams.R#L133    ...
-R/screen_limma_hyperparams.R#L134   generate_reports( ...
-R/screen_limma_hyperparams.R#L140    ...
-R/screen_limma_hyperparams.R#L141   # Generates a HTML which shows the ove ...
-R/screen_limma_hyperparams.R#L142   # are explored in the HTML reports gen ...
-R/screen_limma_hyperparams.R#L143   generate_reports_meta( ...
-R/screen_limma_hyperparams.R#L151    ...
-R/screen_limma_hyperparams.R#L152   print_info_message( ...
-R/screen_limma_hyperparams.R#L155   ) ...
-R/screen_limma_hyperparams.R#L203   combos <- tidyr::expand_grid( ...
-R/screen_limma_hyperparams.R#L208   ) |>  ...
-R/screen_limma_hyperparams.R#L210       "Data_", !!rlang::sym("data_index" ...
-R/screen_limma_hyperparams.R#L211       "_Design_", !!rlang::sym("design_i ...
-R/screen_limma_hyperparams.R#L212       "_SConfig_", !!rlang::sym("spline_ ...
-R/screen_limma_hyperparams.R#L213       "_PThresh_", !!rlang::sym("pthresh ...
-R/screen_limma_hyperparams.R#L214       )) ...
-R/screen_limma_hyperparams.R#L217       combos,  ...
-R/screen_limma_hyperparams.R#L218       process_combo, ...
-R/screen_limma_hyperparams.R#L219       datas = datas, ...
-R/screen_limma_hyperparams.R#L220       rna_seq_datas = rna_seq_datas, ...
-R/screen_limma_hyperparams.R#L221       metas = metas, ...
-R/screen_limma_hyperparams.R#L222       designs = designs, ...
-R/screen_limma_hyperparams.R#L223       modes = modes, ...
-R/screen_limma_hyperparams.R#L224       condition = condition,  ...
-R/screen_limma_hyperparams.R#L225       spline_test_configs = spline_test_ ...
-R/screen_limma_hyperparams.R#L226       feature_names = feature_names,  ...
-R/screen_limma_hyperparams.R#L227       padjust_method = padjust_method ...
-R/screen_limma_hyperparams.R#L228       ) |>  ...
-R/screen_limma_hyperparams.R#L270   names_extracted <- regmatches( ...
-R/screen_limma_hyperparams.R#L276    ...
-R/screen_limma_hyperparams.R#L277   combos_separated <- lapply(unique(name ...
-R/screen_limma_hyperparams.R#L279   }) ...
-R/screen_limma_hyperparams.R#L280    ...
-R/screen_limma_hyperparams.R#L281   names(combos_separated) <- unique(name ...
-R/screen_limma_hyperparams.R#L282    ...
-R/screen_limma_hyperparams.R#L283   combos <- names(combos_separated) ...
-R/screen_limma_hyperparams.R#L284   combo_pairs <- combn(combos, 2, simpli ...
-R/screen_limma_hyperparams.R#L286   print("Generating the plots for all pa ...
-R/screen_limma_hyperparams.R#L287   progress_ticks <- length(combo_pairs) ...
-R/screen_limma_hyperparams.R#L288   pb <- progress::progress_bar$new( ...
-R/screen_limma_hyperparams.R#L292    ...
-R/screen_limma_hyperparams.R#L293   pb$tick(0) ...
-R/screen_limma_hyperparams.R#L294    ...
-R/screen_limma_hyperparams.R#L295   time_unit_label <- paste0("[", time_un ...
-R/screen_limma_hyperparams.R#L296    ...
-R/screen_limma_hyperparams.R#L297   if (!is.null(meta_batch_column)) { ...
-R/screen_limma_hyperparams.R#L301       datas = datas,  ...
-R/screen_limma_hyperparams.R#L302       metas = metas, ...
-R/screen_limma_hyperparams.R#L303       condition = condition, ...
-R/screen_limma_hyperparams.R#L304       meta_batch_column = meta_batch_col ...
-R/screen_limma_hyperparams.R#L305       meta_batch2_column = meta_batch2_c ...
-R/screen_limma_hyperparams.R#L306       ) ...
-R/screen_limma_hyperparams.R#L307   } ...
-R/screen_limma_hyperparams.R#L308    ...
-R/screen_limma_hyperparams.R#L309    ...
-R/screen_limma_hyperparams.R#L310   combo_pair_results <- purrr::set_names ...
-R/screen_limma_hyperparams.R#L313       combo_pair <- combos_separated[pai ...
-R/screen_limma_hyperparams.R#L315       hitcomp <- gen_hitcomp_plots(combo ...
-R/screen_limma_hyperparams.R#L316        ...
-R/screen_limma_hyperparams.R#L317       composites <- purrr::map(combo_pai ...
-R/screen_limma_hyperparams.R#L319           combo, ...
-R/screen_limma_hyperparams.R#L320           datas, ...
-R/screen_limma_hyperparams.R#L321           metas, ...
-R/screen_limma_hyperparams.R#L322           spline_test_configs, ...
-R/screen_limma_hyperparams.R#L323           time_unit_label ...
-R/screen_limma_hyperparams.R#L324           ) ...
-R/screen_limma_hyperparams.R#L325       }) ...
-R/screen_limma_hyperparams.R#L326       pb$tick() ...
-R/screen_limma_hyperparams.R#L327       list( ...
-R/screen_limma_hyperparams.R#L335           pair[1], ...
-R/screen_limma_hyperparams.R#L336           "vs", ...
-R/screen_limma_hyperparams.R#L337           pair[2], ...
-R/screen_limma_hyperparams.R#L338           sep = "_" ...
-R/screen_limma_hyperparams.R#L339           ) ...
-R/screen_limma_hyperparams.R#L340       ) ...
-R/screen_limma_hyperparams.R#L341   ) ...
-R/screen_limma_hyperparams.R#L342   return(combo_pair_results) ...
-R/screen_limma_hyperparams.R#L367    ...
-R/screen_limma_hyperparams.R#L368   print("Building .html reports for all  ...
-R/screen_limma_hyperparams.R#L369   progress_ticks <- length(combo_pair_pl ...
-R/screen_limma_hyperparams.R#L370   pb <- progress::progress_bar$new(total ...
-R/screen_limma_hyperparams.R#L371                                    forma ...
-R/screen_limma_hyperparams.R#L372    ...
-R/screen_limma_hyperparams.R#L373   result <- purrr::imap(combo_pair_plots ...
-R/screen_limma_hyperparams.R#L376   }) ...
-R/screen_limma_hyperparams.R#L405    ...
-R/screen_limma_hyperparams.R#L406   formatted_spline_configs <- flatten_sp ...
-R/screen_limma_hyperparams.R#L407    ...
-R/screen_limma_hyperparams.R#L408   # Combine the hyperparameters and thei ...
-R/screen_limma_hyperparams.R#L409   hyperparameters <- c( ...
-R/screen_limma_hyperparams.R#L414   descriptions <- c( ...
-R/screen_limma_hyperparams.R#L419    ...
-R/screen_limma_hyperparams.R#L420   table_df <- data.frame( ...
-R/screen_limma_hyperparams.R#L425    ...
-R/screen_limma_hyperparams.R#L426   filename <- sprintf("hyperparams_scree ...
-R/screen_limma_hyperparams.R#L427   file_path <- here::here(report_dir, fi ...
-R/screen_limma_hyperparams.R#L428    ...
-R/screen_limma_hyperparams.R#L429   custom_css <- " ...
-R/screen_limma_hyperparams.R#L432       font-size: 32px; ...
-R/screen_limma_hyperparams.R#L433       margin-left: auto;  ...
-R/screen_limma_hyperparams.R#L434       margin-right: auto; ...
-R/screen_limma_hyperparams.R#L437       border: 1px solid #cccccc; ...
-R/screen_limma_hyperparams.R#L438       padding: 12px;  ...
-R/screen_limma_hyperparams.R#L439       text-align: left; ...
-R/screen_limma_hyperparams.R#L442       background-color: #f2f2f2; ...
-R/screen_limma_hyperparams.R#L447   custom_css <- " ...
-R/screen_limma_hyperparams.R#L449       table { ...
-R/screen_limma_hyperparams.R#L452       } ...
-R/screen_limma_hyperparams.R#L453       th, td { ...
+R/run_gsea.R#L647   required_params <- list( ...
+R/run_gsea.R#L653   ) ...
+R/run_gsea.R#L655   # Check if params is a list ...
+R/run_gsea.R#L656   if (!is.list(params)) { ...
+R/run_gsea.R#L658   } ...
+R/run_gsea.R#L660   # Check for extra elements ...
+R/run_gsea.R#L661   extra_params <- setdiff(names(params), ...
+R/run_gsea.R#L662   if (length(extra_params) > 0) { ...
+R/run_gsea.R#L664       paste( ...
+R/run_gsea.R#L669       ) ...
+R/run_gsea.R#L671   } ...
+R/run_gsea.R#L673   valid_adj_p_value_methods <- stats::p. ...
+R/run_gsea.R#L675   # Check for required elements and thei ...
+R/run_gsea.R#L676   for (param in names(params)) { ...
+R/run_gsea.R#L678       actual_value <- params[[param]] ...
+R/run_gsea.R#L679       expected_type <- required_params[[ ...
+R/run_gsea.R#L680       actual_type <- class(params[[param ...
+R/run_gsea.R#L682       if (is.null(actual_value)) { ...
+R/run_gsea.R#L684       } ...
+R/run_gsea.R#L686       if (expected_type == "integer" &&  ...
+R/run_gsea.R#L689           all(params[[param]] == as.inte ...
+R/run_gsea.R#L690           actual_type <- "integer" ...
+R/run_gsea.R#L692       } ...
+R/run_gsea.R#L693       if (expected_type != actual_type)  ...
+R/run_gsea.R#L695           expected_type, ".", ...
+R/run_gsea.R#L696           call. = FALSE ...
+R/run_gsea.R#L698       } ...
+R/run_gsea.R#L700       stop( ...
+R/run_gsea.R#L705       ) ...
+R/run_gsea.R#L709       if (!(actual_value %in% valid_adj_ ...
+R/run_gsea.R#L711           paste("pAdjustMethod must be o ...
+R/run_gsea.R#L714           ), ...
+R/run_gsea.R#L715           call. = FALSE ...
+R/run_gsea.R#L717       } ...
+R/run_gsea.R#L719   } ...
+R/run_gsea.R#L753   set_default_params(params) ...
+R/run_gsea.R#L755   all_term2genes <- dbs_to_term2genes(da ...
+R/run_gsea.R#L758   ## Prepare objects ...
+R/run_gsea.R#L759   unique_clusters <- sort(unique(cluster ...
+R/run_gsea.R#L761   all_db_results <- vector("list", lengt ...
+R/run_gsea.R#L763   for (i in seq_along(all_db_results)) { ...
+R/run_gsea.R#L765   } ...
+R/run_gsea.R#L767   raw_results <- list() ...
+R/run_gsea.R#L769   for (cluster in unique_clusters) { ...
+R/run_gsea.R#L773       column_name <- paste("Cluster", cl ...
+R/run_gsea.R#L774       count_column_name <- paste0(column ...
+R/run_gsea.R#L776       # Initialize the column as an empt ...
+R/run_gsea.R#L777       if (nrow(all_db_results[[i]]) == 0 ...
+R/run_gsea.R#L780           vector("logical", length = 0) ...
+R/run_gsea.R#L781       } else { ...
+R/run_gsea.R#L784       } ...
+R/run_gsea.R#L798       term2gene <- all_term2genes[[datab ...
+R/run_gsea.R#L800       message(paste( ...
+R/run_gsea.R#L803       )) ...
+R/run_gsea.R#L805       enrichment <- ...
+R/run_gsea.R#L807           gene = gene_list, ...
+R/run_gsea.R#L808           pvalueCutoff = params$pvalueCu ...
+R/run_gsea.R#L809           pAdjustMethod = params$pAdjust ...
+R/run_gsea.R#L810           universe = universe, ...
+R/run_gsea.R#L811           minGSSize = params$minGSSize, ...
+R/run_gsea.R#L812           maxGSSize = params$maxGSSize, ...
+R/run_gsea.R#L813           qvalueCutoff = params$qvalueCu ...
+R/run_gsea.R#L814           gson = NULL, ...
+R/run_gsea.R#L815           TERM2GENE = term2gene, ...
+R/run_gsea.R#L816           TERM2NAME = NA ...
+R/run_gsea.R#L819       enrichment <- as.data.frame(enrich ...
+R/run_gsea.R#L821       if (is.null(enrichment) || (nrow(e ...
+R/run_gsea.R#L824       } ...
+R/run_gsea.R#L826       at_least_one_result <- TRUE ...
+R/run_gsea.R#L828       enrichment_results[[length(enrichm ...
+R/run_gsea.R#L830       # Store all for returning in the e ...
+R/run_gsea.R#L831       name <- sprintf( ...
+R/run_gsea.R#L835       ) ...
+R/run_gsea.R#L837       raw_results[[name]] <- enrichment ...
+R/run_gsea.R#L841       use_background <- TRUE ...
+R/run_gsea.R#L843       use_background <- FALSE ...
+R/run_gsea.R#L847       all_db_results <- process_enrichme ...
+R/run_gsea.R#L854       ) ...
+R/run_gsea.R#L856       print(paste0("No enrichment result ...
+R/run_gsea.R#L858   } ...
+R/run_gsea.R#L860   # Make dotplot ...
+R/run_gsea.R#L861   any_result <- vapply( ...
+R/run_gsea.R#L865   ) ...
+R/run_gsea.R#L867   has_true <- any(any_result) ...
+R/run_gsea.R#L869   if (has_true) { ...
+R/run_gsea.R#L871       all_db_results, ...
+R/run_gsea.R#L872       names(all_term2genes), ...
+R/run_gsea.R#L873       plot_title ...
+R/run_gsea.R#L875   } else { ...
+R/run_gsea.R#L878   } ...
+R/run_gsea.R#L880   list( ...
+R/run_gsea.R#L885   ) ...
+R/run_gsea.R#L910   if (any(is.na(section_info$full_enrich ...
+R/run_gsea.R#L912       "<p style='font-size: 40px; color: ...
+R/run_gsea.R#L913       "No database specified led to iden ...
+R/run_gsea.R#L914       "terms.", ...
+R/run_gsea.R#L915       "</p>" ...
+R/run_gsea.R#L919       html_content, ...
+R/run_gsea.R#L920       no_results_message, ...
+R/run_gsea.R#L921       sep = "\n" ...
+R/run_gsea.R#L925       html_content = html_content ...
+R/run_gsea.R#L927   } ...
+R/run_gsea.R#L929   full_enrich_results_header <- paste0( ...
+R/run_gsea.R#L932   ) ...
+R/run_gsea.R#L934   df <- section_info$full_enrich_results ...
+R/run_gsea.R#L936   # Start the HTML table with the specif ...
+R/run_gsea.R#L937   html_table <- "<table style='width:100 ...
+R/run_gsea.R#L939   # Add the table header ...
+R/run_gsea.R#L940   html_table <- paste0(html_table, "<the ...
+R/run_gsea.R#L941   for (header in colnames(df)) { ...
+R/run_gsea.R#L943   } ...
+R/run_gsea.R#L944   html_table <- paste0(html_table, "</tr ...
+R/run_gsea.R#L946   # Add the table rows ...
+R/run_gsea.R#L947   for (i in 1:nrow(df)) { ...
+R/run_gsea.R#L950       html_table <- paste0(html_table, " ...
+R/run_gsea.R#L953   } ...
+R/run_gsea.R#L955   # Close the table body and the table t ...
+R/run_gsea.R#L956   full_enrich_results_html <- paste0(htm ...
+R/run_gsea.R#L958   raw_enrich_results_header <- paste0( ...
+R/run_gsea.R#L961   ) ...
+R/run_gsea.R#L963   base64_df <- sprintf( ...
+R/run_gsea.R#L965   <button>Download count2small_results.x ...
+R/run_gsea.R#L967       section_info$raw_enrich_results, ...
+R/run_gsea.R#L968       "create_gsea_report" ...
+R/run_gsea.R#L970   ) ...
+R/run_gsea.R#L972   html_content <- paste( ...
+R/run_gsea.R#L979   ) ...
+R/run_gsea.R#L981   list( ...
+R/run_gsea.R#L983   ) ...
+R/run_gsea.R#L1005   default_params <- list( ...
+R/run_gsea.R#L1011   ) ...
+R/run_gsea.R#L1013   if (any(is.na(params))) { ...
+R/run_gsea.R#L1015   } else { ...
+R/run_gsea.R#L1019       params[[param]] <- default_params[ ...
+R/run_gsea.R#L1021   } ...
+R/run_gsea.R#L1023   return(params) ...
+R/run_gsea.R#L1046   db_split <- split(databases, databases ...
+R/run_gsea.R#L1048   # Transform into long format ...
+R/run_gsea.R#L1049   all_term2genes <- lapply(db_split, fun ...
+R/run_gsea.R#L1053   }) ...
+R/run_gsea.R#L1055   names(all_term2genes) <- names(db_spli ...
+R/run_gsea.R#L1057   return(all_term2genes) ...
+R/run_gsea.R#L1083   column_indices <- list(2, 6, 3, 4, 9) ...
+R/run_gsea.R#L1085   # Process results for all databases. ...
+R/run_gsea.R#L1086   for (i in seq_along(enrichment_results ...
+R/run_gsea.R#L1091       next ...
+R/run_gsea.R#L1099       odds_ratio, ...
+R/run_gsea.R#L1100       function(x) eval(parse(text = x)), ...
+R/run_gsea.R#L1101       numeric(1) ...
+R/run_gsea.R#L1106       bg_ratio, ...
+R/run_gsea.R#L1107       function(x) eval(parse(text = x)), ...
+R/run_gsea.R#L1108       numeric(1) ...
+R/run_gsea.R#L1119       # Create a sublist for each term w ...
+R/run_gsea.R#L1121       # Skip terms that are just support ...
+R/run_gsea.R#L1122       if (gene_count_list[j] < 2) { ...
+R/run_gsea.R#L1124       } ...
+R/run_gsea.R#L1126       sublist <- list(adjP_list[j], odds ...
+R/run_gsea.R#L1128       # Assign this sublist to named_lis ...
+R/run_gsea.R#L1129       term <- as.character(term_list[j]) ...
+R/run_gsea.R#L1130       named_list[[term]] <- sublist ...
+R/run_gsea.R#L1134       if (!name %in% all_db_results[[i]] ...
+R/run_gsea.R#L1140           named_list[[name]][[2]] ...
+R/run_gsea.R#L1141       } else { ...
+R/run_gsea.R#L1145           named_list[[name]][[2]] ...
+R/run_gsea.R#L1146       } ...
+R/run_gsea.R#L1148   } ...
+R/run_gsea.R#L1149   return(all_db_results) ...
+R/run_gsea.R#L1269   results <- prepare_plot_data( ...
+R/run_gsea.R#L1272   ) ...
+R/run_gsea.R#L1274   top_plot_data <- results$top_plot_data ...
+R/run_gsea.R#L1275   full_enrich_results <- results$full_en ...
+R/run_gsea.R#L1277   # Calculate plot height based on the n ...
+R/run_gsea.R#L1278   height_per_label <- 0.1 ...
+R/run_gsea.R#L1279   num_labels <- length(unique(top_plot_d ...
+R/run_gsea.R#L1280   plot_height <- num_labels * height_per ...
+R/run_gsea.R#L1282   if (plot_height < 0.70) { # to always  ...
+R/run_gsea.R#L1284   } ...
+R/run_gsea.R#L1286   # Ensure term labels are truncated to  ...
+R/run_gsea.R#L1287   top_plot_data$term <- as.character(top ...
+R/run_gsea.R#L1288   top_plot_data$term <- ifelse( ...
+R/run_gsea.R#L1292   ) ...
+R/run_gsea.R#L1294   p <- ggplot2::ggplot( ...
+R/run_gsea.R#L1297       .data$cluster, ...
+R/run_gsea.R#L1298       .data$term, ...
+R/run_gsea.R#L1299       size = -log10(.data$adj.p_value) ...
+R/run_gsea.R#L1301   ) + ...
+R/run_gsea.R#L1303       aes(color = .data$odds_ratios), ...
+R/run_gsea.R#L1304       na.rm = TRUE ...
+R/run_gsea.R#L1307       .data$cluster, ...
+R/run_gsea.R#L1308       .data$term ...
+R/run_gsea.R#L1312       "odds\nratio", ...
+R/run_gsea.R#L1313       low = "blue", ...
+R/run_gsea.R#L1314       high = "red", ...
+R/run_gsea.R#L1315       labels = function(x) round(x, 2), ...
+R/run_gsea.R#L1316       guide = ggplot2::guide_colorbar( ...
+R/run_gsea.R#L1320       ) ...
+R/run_gsea.R#L1323       max_size = 3, ...
+R/run_gsea.R#L1324       limits = c(0, 2), ...
+R/run_gsea.R#L1325       breaks = c(0, 1, 2), ...
+R/run_gsea.R#L1326       labels = c("0", "1", "2 or higher" ...
+R/run_gsea.R#L1327       oob = scales::oob_squish ...
+R/run_gsea.R#L1331       panel.grid.major.x = ggplot2::elem ...
+R/run_gsea.R#L1332       panel.grid.minor.x = ggplot2::elem ...
+R/run_gsea.R#L1333       panel.grid.major.y = ggplot2::elem ...
+R/run_gsea.R#L1334       panel.grid.minor.y = ggplot2::elem ...
+R/run_gsea.R#L1335       plot.title = ggplot2::element_text ...
+R/run_gsea.R#L1336       axis.text.y = ggplot2::element_tex ...
+R/run_gsea.R#L1337       axis.text.x = ggplot2::element_tex ...
+R/run_gsea.R#L1338       legend.text = ggplot2::element_tex ...
+R/run_gsea.R#L1339       legend.title = ggplot2::element_te ...
+R/run_gsea.R#L1340       legend.key.height = unit(4, "mm"), ...
+R/run_gsea.R#L1341       legend.key.width = unit(3, "mm"), ...
+R/run_gsea.R#L1342       legend.spacing = ggplot2::unit(0,  ...
+R/run_gsea.R#L1343       legend.spacing.y = ggplot2::unit(0 ...
+R/run_gsea.R#L1344       plot.margin = ggplot2::unit(c(2, 0 ...
+R/run_gsea.R#L1345       legend.position = "right", ...
+R/run_gsea.R#L1346       legend.box.margin = ggplot2::margi ...
+R/run_gsea.R#L1352   list( ...
+R/run_gsea.R#L1356   ) ...
+R/run_gsea.R#L1392   plot_data <- ...
+R/run_gsea.R#L1399       .data$p_odd, ...
+R/run_gsea.R#L1400       c("Cluster_", cluster = "\\d+", "_ ...
+R/run_gsea.R#L1401       too_few = "align_start" ...
+R/run_gsea.R#L1406   plot_data <- plot_data |> ...
+R/run_gsea.R#L1411       dplyr::desc(.data$avg_odds_ratio), ...
+R/run_gsea.R#L1412       .data$db, .data$BioProcess ...
+R/run_gsea.R#L1415   # Initialize the cluster counts ...
+R/run_gsea.R#L1416   cluster_counts <- ...
+R/run_gsea.R#L1418   names(cluster_counts) <- as.character( ...
+R/run_gsea.R#L1420   selected_combos <- list() ...
+R/run_gsea.R#L1422   min_threshold <- 5 ...
+R/run_gsea.R#L1424   # Iterate through combinations ...
+R/run_gsea.R#L1425   i <- 1 ...
+R/run_gsea.R#L1426   while (i <= nrow(plot_data)) { ...
+R/run_gsea.R#L1437       dplyr::filter( ...
+R/run_gsea.R#L1441       ) ...
+R/run_gsea.R#L1445       table(relevant_rows$cluster[!is.na ...
+R/run_gsea.R#L1454       # Temporarily update cluster count ...
+R/run_gsea.R#L1455       temp_cluster_counts <- cluster_cou ...
+R/run_gsea.R#L1456       temp_cluster_counts[combo_clusters ...
+R/run_gsea.R#L1459       # Final check to ensure we don't e ...
+R/run_gsea.R#L1460       # threshold. This step might seem  ...
+R/run_gsea.R#L1461       # could be adjusted for more compl ...
+R/run_gsea.R#L1462       if (any(temp_cluster_counts <= min ...
+R/run_gsea.R#L1467       } ...
+R/run_gsea.R#L1474       length(cluster_counts)) { ...
+R/run_gsea.R#L1475       break ...
+R/run_gsea.R#L1479   } ...
+R/run_gsea.R#L1481   # Combine selected combos into a dataf ...
+R/run_gsea.R#L1482   top_combos <- do.call( ...
+R/run_gsea.R#L1485   ) ...
+R/run_gsea.R#L1487   # Filter the original data to keep onl ...
+R/run_gsea.R#L1488   top_plot_data <- plot_data |> ...
+R/run_gsea.R#L1490       top_combos, ...
+R/run_gsea.R#L1491       by = c( ...
+R/run_gsea.R#L1494       ) ...
+R/run_gsea.R#L1497   full_enrich_results <- stats::na.omit( ...
+R/run_gsea.R#L1499   top_plot_data <- top_plot_data |> ...
+R/run_gsea.R#L1501       .data$db, ...
+R/run_gsea.R#L1502       .data$BioProcess, ...
+R/run_gsea.R#L1503       col = "term", ...
+R/run_gsea.R#L1504       sep = ": " ...
+R/run_gsea.R#L1507   top_plot_data$term <- factor( ...
+R/run_gsea.R#L1510   ) ...
+R/run_gsea.R#L1512   list( ...
+R/run_gsea.R#L1515   ) ...
+R/run_limma_splines.R#L59   check_splineomics_elements( ...
+R/run_limma_splines.R#L62   ) ...
+R/run_limma_splines.R#L64   args <- lapply( ...
+R/run_limma_splines.R#L68   ) ...
+R/run_limma_splines.R#L70   check_null_elements(args) ...
+R/run_limma_splines.R#L71   input_control <- InputControl$new(args ...
+R/run_limma_splines.R#L72   input_control$auto_validate() ...
+R/run_limma_splines.R#L74   data <- splineomics[["data"]] ...
+R/run_limma_splines.R#L75   rna_seq_data <- splineomics[["rna_seq_ ...
+R/run_limma_splines.R#L76   meta <- splineomics[["meta"]] ...
+R/run_limma_splines.R#L77   spline_params <- splineomics[["spline_ ...
+R/run_limma_splines.R#L78   padjust_method <- splineomics[["padjus ...
+R/run_limma_splines.R#L79   design <- splineomics[["design"]] ...
+R/run_limma_splines.R#L80   mode <- splineomics[["mode"]] ...
+R/run_limma_splines.R#L81   condition <- splineomics[["condition"] ...
+R/run_limma_splines.R#L83   feature_names <- rownames(data) ...
+R/run_limma_splines.R#L85   rownames(data) <- NULL # To just have  ...
+R/run_limma_splines.R#L87   meta[[condition]] <- factor(meta[[cond ...
+R/run_limma_splines.R#L88   levels <- levels(meta[[condition]]) ...
+R/run_limma_splines.R#L90   # Get hits for level (within level ana ...
+R/run_limma_splines.R#L91   process_level_with_params <- purrr::pa ...
+R/run_limma_splines.R#L102   ) ...
+R/run_limma_splines.R#L104   results_list <- purrr::imap( ...
+R/run_limma_splines.R#L107   ) ...
+R/run_limma_splines.R#L109   within_level_top_table <- ...
+R/run_limma_splines.R#L111       purrr::map(results_list, "top_tabl ...
+R/run_limma_splines.R#L112       purrr::map_chr(results_list, "name ...
+R/run_limma_splines.R#L115   # Factor and Factor:Time comparisons b ...
+R/run_limma_splines.R#L116   between_level_condition_only <- list() ...
+R/run_limma_splines.R#L117   between_level_condition_time <- list() ...
+R/run_limma_splines.R#L119   if (mode == "integrated") { ...
+R/run_limma_splines.R#L122       result <- between_level( ...
+R/run_limma_splines.R#L132       ) ...
+R/run_limma_splines.R#L134       between_level_condition_only[[ ...
+R/run_limma_splines.R#L136           "avrg_diff_", lev_combo[1], ...
+R/run_limma_splines.R#L137           "_vs_", lev_combo[2] ...
+R/run_limma_splines.R#L139       ]] <- result$condition_only ...
+R/run_limma_splines.R#L141       between_level_condition_time[[ ...
+R/run_limma_splines.R#L143           "time_interaction_", ...
+R/run_limma_splines.R#L144           lev_combo[1], ...
+R/run_limma_splines.R#L145           "_vs_", lev_combo[2] ...
+R/run_limma_splines.R#L147       ]] <- result$condition_time ...
+R/run_limma_splines.R#L149   } else { # mode == "isolated" ...
+R/run_limma_splines.R#L151       "mode == 'integrated' necessary fo ...
+R/run_limma_splines.R#L152       "comparisons. Returning emtpy list ...
+R/run_limma_splines.R#L153       (avrg diff conditions, and interac ...
+R/run_limma_splines.R#L155   } ...
+R/run_limma_splines.R#L157   message("\033[32mInfo\033[0m limma spl ...
+R/run_limma_splines.R#L159   limma_splines_result <- list( ...
+R/run_limma_splines.R#L163   ) ...
+R/run_limma_splines.R#L165   splineomics <- update_splineomics( ...
+R/run_limma_splines.R#L168   ) ...
+R/run_limma_splines.R#L219   samples <- which(meta[[condition]] %in ...
+R/run_limma_splines.R#L220   data <- data[, samples] ...
+R/run_limma_splines.R#L222   # meta <- subset(meta, meta[[condition ...
+R/run_limma_splines.R#L223   meta <- meta[meta[[condition]] %in% co ...
+R/run_limma_splines.R#L225   design_matrix <- design2design_matrix( ...
+R/run_limma_splines.R#L230   ) ...
+R/run_limma_splines.R#L232   if (!is.null(rna_seq_data)) { ...
+R/run_limma_splines.R#L234   } ...
+R/run_limma_splines.R#L236   fit <- limma::lmFit( ...
+R/run_limma_splines.R#L239   ) ...
+R/run_limma_splines.R#L240   fit <- limma::eBayes(fit) ...
+R/run_limma_splines.R#L242   factor_only_contrast_coeff <- paste0( ...
+R/run_limma_splines.R#L245   ) ...
+R/run_limma_splines.R#L247   condition_only <- limma::topTable( ...
+R/run_limma_splines.R#L252   ) ...
+R/run_limma_splines.R#L254   condition_only_resuls <- list( ...
+R/run_limma_splines.R#L257   ) ...
+R/run_limma_splines.R#L259   top_table_condition_only <- process_to ...
+R/run_limma_splines.R#L262   ) ...
+R/run_limma_splines.R#L265   num_matching_columns <- sum( ...
+R/run_limma_splines.R#L267       "^X\\d+$", ...
+R/run_limma_splines.R#L268       colnames(design_matrix) ...
+R/run_limma_splines.R#L270   ) ...
+R/run_limma_splines.R#L272   factor_time_contrast_coeffs <- paste0( ...
+R/run_limma_splines.R#L277   ) ...
+R/run_limma_splines.R#L279   condition_time <- limma::topTable( ...
+R/run_limma_splines.R#L284   ) ...
+R/run_limma_splines.R#L286   condition_and_time_results <- list( ...
+R/run_limma_splines.R#L289   ) ...
+R/run_limma_splines.R#L290   top_table_condition_and_time <- proces ...
+R/run_limma_splines.R#L293   ) ...
+R/run_limma_splines.R#L295   list( ...
+R/run_limma_splines.R#L298   ) ...
+R/run_limma_splines.R#L342   if (mode == "isolated") { ...
+R/run_limma_splines.R#L346   } else { # mode == "integrated" ...
+R/run_limma_splines.R#L350       meta_copy[[condition]], ...
+R/run_limma_splines.R#L351       ref = level ...
+R/run_limma_splines.R#L355   } ...
+R/run_limma_splines.R#L357   result <- process_within_level( ...
+R/run_limma_splines.R#L365   ) ...
+R/run_limma_splines.R#L367   top_table <- process_top_table( ...
+R/run_limma_splines.R#L370   ) ...
+R/run_limma_splines.R#L372   results_name <- paste( ...
+R/run_limma_splines.R#L376   ) ...
+R/run_limma_splines.R#L378   list( ...
+R/run_limma_splines.R#L381   ) ...
+R/run_limma_splines.R#L409   top_table <- process_within_level_resu ...
+R/run_limma_splines.R#L410   fit <- process_within_level_result$fit ...
+R/run_limma_splines.R#L412   top_table <- modify_limma_top_table( ...
+R/run_limma_splines.R#L415   ) ...
+R/run_limma_splines.R#L417   intercepts <- as.data.frame(stats::coe ...
+R/run_limma_splines.R#L418   intercepts_ordered <- intercepts[top_t ...
+R/run_limma_splines.R#L419   top_table$intercept <- intercepts_orde ...
+R/run_limma_splines.R#L421   top_table ...
+R/run_limma_splines.R#L460   design_matrix <- design2design_matrix( ...
+R/run_limma_splines.R#L465   ) ...
+R/run_limma_splines.R#L467   if (!is.null(rna_seq_data)) { ...
+R/run_limma_splines.R#L469   } ...
+R/run_limma_splines.R#L471   fit <- limma::lmFit( ...
+R/run_limma_splines.R#L474   ) ...
+R/run_limma_splines.R#L475   fit <- limma::eBayes(fit) ...
+R/run_limma_splines.R#L477   num_matching_columns <- sum(grepl( ...
+R/run_limma_splines.R#L480   )) ...
+R/run_limma_splines.R#L481   coeffs <- paste0("X", seq_len(num_matc ...
+R/run_limma_splines.R#L483   top_table <- limma::topTable( ...
+R/run_limma_splines.R#L488   ) ...
+R/run_limma_splines.R#L490   attr(top_table, "adjust.method") <- pa ...
+R/run_limma_splines.R#L492   list( ...
+R/run_limma_splines.R#L495   ) ...
+R/run_limma_splines.R#L519   is_integer_string <- function(x) { ...
+R/run_limma_splines.R#L521   } ...
+R/run_limma_splines.R#L523   # Because the row headers of a potenti ...
+R/run_limma_splines.R#L524   # converted to ints (written as string ...
+R/run_limma_splines.R#L525   # the row headers are still "real" str ...
+R/run_limma_splines.R#L526   if (!all(vapply( ...
+R/run_limma_splines.R#L530   )) ...
+R/run_limma_splines.R#L531   ) { ...
+R/run_limma_splines.R#L533       rownames(top_table), ...
+R/run_limma_splines.R#L534       function(id) { ...
+R/run_limma_splines.R#L539       }, ...
+R/run_limma_splines.R#L540       character(1) ...
+R/run_limma_splines.R#L542   } ...
+R/run_limma_splines.R#L544   top_table <- tibble::as_tibble( ...
+R/run_limma_splines.R#L547   ) ...
+R/run_limma_splines.R#L549   # feature_nr <- NULL  # dummy declarat ...
+R/run_limma_splines.R#L551   # Convert feature_nr to integer ...
+R/run_limma_splines.R#L552   top_table <- top_table |> ...
+R/run_limma_splines.R#L556   # Sort and add feature names based on  ...
+R/run_limma_splines.R#L557   sorted_feature_names <- feature_names[ ...
+R/run_limma_splines.R#L558   top_table <- top_table |> dplyr::mutat ...
+R/run_limma_splines.R#L560   return(top_table) ...
+R/screen_limma_hyperparams.R#L71   if (is.null(rna_seq_datas)) { # Set th ...
+R/screen_limma_hyperparams.R#L73   } ...
+R/screen_limma_hyperparams.R#L75   report_dir <- normalizePath( ...
+R/screen_limma_hyperparams.R#L78   ) ...
+R/screen_limma_hyperparams.R#L80   check_splineomics_elements( ...
+R/screen_limma_hyperparams.R#L83   ) ...
+R/screen_limma_hyperparams.R#L85   args <- lapply(as.list(match.call()[-1 ...
+R/screen_limma_hyperparams.R#L86   check_null_elements(args) ...
+R/screen_limma_hyperparams.R#L87   input_control <- InputControl$new(args ...
+R/screen_limma_hyperparams.R#L88   input_control$auto_validate() ...
+R/screen_limma_hyperparams.R#L90   report_info <- splineomics[["report_in ...
+R/screen_limma_hyperparams.R#L91   meta_batch_column <- splineomics[["met ...
+R/screen_limma_hyperparams.R#L92   meta_batch2_column <- splineomics[["me ...
+R/screen_limma_hyperparams.R#L93   condition <- splineomics[["condition"] ...
+R/screen_limma_hyperparams.R#L95   feature_names <- rownames(datas[[1]]) ...
+R/screen_limma_hyperparams.R#L97   top_tables_combos <- ...
+R/screen_limma_hyperparams.R#L99       datas = datas, ...
+R/screen_limma_hyperparams.R#L100       rna_seq_datas = rna_seq_datas, ...
+R/screen_limma_hyperparams.R#L101       metas = metas, ...
+R/screen_limma_hyperparams.R#L102       designs = designs, ...
+R/screen_limma_hyperparams.R#L103       modes = modes, ...
+R/screen_limma_hyperparams.R#L104       condition = condition, ...
+R/screen_limma_hyperparams.R#L105       spline_test_configs = spline_test_ ...
+R/screen_limma_hyperparams.R#L106       feature_names = feature_names, ...
+R/screen_limma_hyperparams.R#L107       adj_pthresholds = adj_pthresholds, ...
+R/screen_limma_hyperparams.R#L108       padjust_method = padjust_method ...
+R/screen_limma_hyperparams.R#L111   combo_pair_plots <- ...
+R/screen_limma_hyperparams.R#L113       top_tables_combos = top_tables_com ...
+R/screen_limma_hyperparams.R#L114       datas = datas, ...
+R/screen_limma_hyperparams.R#L115       metas = metas, ...
+R/screen_limma_hyperparams.R#L116       condition = condition, ...
+R/screen_limma_hyperparams.R#L117       spline_test_configs = spline_test_ ...
+R/screen_limma_hyperparams.R#L118       meta_batch_column = meta_batch_col ...
+R/screen_limma_hyperparams.R#L119       meta_batch2_column = meta_batch2_c ...
+R/screen_limma_hyperparams.R#L120       time_unit = time_unit ...
+R/screen_limma_hyperparams.R#L123   timestamp <- format(Sys.time(), "%d_%m ...
+R/screen_limma_hyperparams.R#L125   report_info$meta_condition <- c(condit ...
+R/screen_limma_hyperparams.R#L126   report_info$meta_batch <- paste( ...
+R/screen_limma_hyperparams.R#L130   ) ...
+R/screen_limma_hyperparams.R#L132   generate_reports( ...
+R/screen_limma_hyperparams.R#L137   ) ...
+R/screen_limma_hyperparams.R#L139   # Generates a HTML which shows the ove ...
+R/screen_limma_hyperparams.R#L140   # are explored in the HTML reports gen ...
+R/screen_limma_hyperparams.R#L141   generate_reports_meta( ...
+R/screen_limma_hyperparams.R#L148   ) ...
+R/screen_limma_hyperparams.R#L150   print_info_message( ...
+R/screen_limma_hyperparams.R#L153   ) ...
+R/screen_limma_hyperparams.R#L199   combos <- tidyr::expand_grid( ...
+R/screen_limma_hyperparams.R#L204   ) |> ...
+R/screen_limma_hyperparams.R#L206       "Data_", !!rlang::sym("data_index" ...
+R/screen_limma_hyperparams.R#L207       "_Design_", !!rlang::sym("design_i ...
+R/screen_limma_hyperparams.R#L208       "_SConfig_", !!rlang::sym("spline_ ...
+R/screen_limma_hyperparams.R#L209       "_PThresh_", !!rlang::sym("pthresh ...
+R/screen_limma_hyperparams.R#L212   purrr::pmap( ...
+R/screen_limma_hyperparams.R#L224   ) |> ...
+R/screen_limma_hyperparams.R#L264   names_extracted <- regmatches( ...
+R/screen_limma_hyperparams.R#L267       "Data_\\d+_Design_\\d+", ...
+R/screen_limma_hyperparams.R#L268       names(top_tables_combos) ...
+R/screen_limma_hyperparams.R#L270   ) ...
+R/screen_limma_hyperparams.R#L272   combos_separated <- lapply(unique(name ...
+R/screen_limma_hyperparams.R#L274   }) ...
+R/screen_limma_hyperparams.R#L276   names(combos_separated) <- unique(name ...
+R/screen_limma_hyperparams.R#L278   combos <- names(combos_separated) ...
+R/screen_limma_hyperparams.R#L279   combo_pairs <- combn(combos, 2, simpli ...
+R/screen_limma_hyperparams.R#L281   message("Generating the plots for all  ...
+R/screen_limma_hyperparams.R#L282   progress_ticks <- length(combo_pairs) ...
+R/screen_limma_hyperparams.R#L283   pb <- progress::progress_bar$new( ...
+R/screen_limma_hyperparams.R#L286   ) ...
+R/screen_limma_hyperparams.R#L288   pb$tick(0) ...
+R/screen_limma_hyperparams.R#L290   time_unit_label <- paste0("[", time_un ...
+R/screen_limma_hyperparams.R#L292   if (!is.null(meta_batch_column)) { ...
+R/screen_limma_hyperparams.R#L295       datas = datas, ...
+R/screen_limma_hyperparams.R#L296       metas = metas, ...
+R/screen_limma_hyperparams.R#L297       condition = condition, ...
+R/screen_limma_hyperparams.R#L298       meta_batch_column = meta_batch_col ...
+R/screen_limma_hyperparams.R#L299       meta_batch2_column = meta_batch2_c ...
+R/screen_limma_hyperparams.R#L301   } ...
+R/screen_limma_hyperparams.R#L304   combo_pair_results <- purrr::set_names ...
+R/screen_limma_hyperparams.R#L306       combo_pair <- combos_separated[pai ...
+R/screen_limma_hyperparams.R#L308       hitcomp <- gen_hitcomp_plots(combo ...
+R/screen_limma_hyperparams.R#L310       composites <- purrr::map(combo_pai ...
+R/screen_limma_hyperparams.R#L312           combo, ...
+R/screen_limma_hyperparams.R#L313           datas, ...
+R/screen_limma_hyperparams.R#L314           metas, ...
+R/screen_limma_hyperparams.R#L315           spline_test_configs, ...
+R/screen_limma_hyperparams.R#L316           time_unit_label ...
+R/screen_limma_hyperparams.R#L318       }) ...
+R/screen_limma_hyperparams.R#L319       pb$tick() ...
+R/screen_limma_hyperparams.R#L320       list( ...
+R/screen_limma_hyperparams.R#L323       ) ...
+R/screen_limma_hyperparams.R#L325       combo_pairs, ...
+R/screen_limma_hyperparams.R#L326       function(pair) { ...
+R/screen_limma_hyperparams.R#L328           pair[1], ...
+R/screen_limma_hyperparams.R#L329           "vs", ...
+R/screen_limma_hyperparams.R#L330           pair[2], ...
+R/screen_limma_hyperparams.R#L331           sep = "_" ...
+R/screen_limma_hyperparams.R#L333       } ...
+R/screen_limma_hyperparams.R#L335   ) ...
+R/screen_limma_hyperparams.R#L336   return(combo_pair_results) ...
+R/screen_limma_hyperparams.R#L360   message( ...
+R/screen_limma_hyperparams.R#L362   ) ...
+R/screen_limma_hyperparams.R#L363   progress_ticks <- length(combo_pair_pl ...
+R/screen_limma_hyperparams.R#L364   pb <- progress::progress_bar$new( ...
+R/screen_limma_hyperparams.R#L367   ) ...
+R/screen_limma_hyperparams.R#L369   result <- purrr::imap(combo_pair_plots ...
+R/screen_limma_hyperparams.R#L372   }) ...
+R/screen_limma_hyperparams.R#L400   formatted_spline_configs <- flatten_sp ...
+R/screen_limma_hyperparams.R#L402   # Combine the hyperparameters and thei ...
+R/screen_limma_hyperparams.R#L403   hyperparameters <- c( ...
+R/screen_limma_hyperparams.R#L407   ) ...
+R/screen_limma_hyperparams.R#L408   descriptions <- c( ...
+R/screen_limma_hyperparams.R#L412   ) ...
+R/screen_limma_hyperparams.R#L414   table_df <- data.frame( ...
+R/screen_limma_hyperparams.R#L418   ) ...
+R/screen_limma_hyperparams.R#L420   filename <- sprintf("hyperparams_scree ...
+R/screen_limma_hyperparams.R#L421   file_path <- here::here(report_dir, fi ...
+R/screen_limma_hyperparams.R#L423   custom_css <- " ...
+R/screen_limma_hyperparams.R#L426       font-size: 32px; ...
+R/screen_limma_hyperparams.R#L427       margin-left: auto; ...
+R/screen_limma_hyperparams.R#L428       margin-right: auto; ...
+R/screen_limma_hyperparams.R#L431       border: 1px solid #cccccc; ...
+R/screen_limma_hyperparams.R#L432       padding: 12px; ...
+R/screen_limma_hyperparams.R#L433       text-align: left; ...
+R/screen_limma_hyperparams.R#L436       background-color: #f2f2f2; ...
+R/screen_limma_hyperparams.R#L441   custom_css <- " ...
+R/screen_limma_hyperparams.R#L443       table { ...
+R/screen_limma_hyperparams.R#L446       } ...
+R/screen_limma_hyperparams.R#L447       th, td { ...
+R/screen_limma_hyperparams.R#L451       } ...
+R/screen_limma_hyperparams.R#L452       tr:nth-child(even) { ...
+R/screen_limma_hyperparams.R#L454       } ...
+R/screen_limma_hyperparams.R#L455       tr:hover { ...
 R/screen_limma_hyperparams.R#L457       } ...
-R/screen_limma_hyperparams.R#L458       tr:nth-child(even) { ...
-R/screen_limma_hyperparams.R#L460       } ...
-R/screen_limma_hyperparams.R#L461       tr:hover { ...
-R/screen_limma_hyperparams.R#L463       } ...
-R/screen_limma_hyperparams.R#L466    ...
-R/screen_limma_hyperparams.R#L467   # Start HTML table with the header ...
-R/screen_limma_hyperparams.R#L468   html_table <- "<table>" ...
-R/screen_limma_hyperparams.R#L469   html_table <- paste0(html_table, "<the ...
-R/screen_limma_hyperparams.R#L470    ...
-R/screen_limma_hyperparams.R#L471   # Add column headers ...
-R/screen_limma_hyperparams.R#L472   for (header in colnames(table_df)) { ...
-R/screen_limma_hyperparams.R#L474   } ...
-R/screen_limma_hyperparams.R#L475   html_table <- paste0(html_table, "</tr ...
-R/screen_limma_hyperparams.R#L476    ...
-R/screen_limma_hyperparams.R#L477   # Add table rows ...
-R/screen_limma_hyperparams.R#L478   for (i in 1:nrow(table_df)) { ...
-R/screen_limma_hyperparams.R#L481       html_table <- paste0(html_table, " ...
-R/screen_limma_hyperparams.R#L484   } ...
-R/screen_limma_hyperparams.R#L485    ...
-R/screen_limma_hyperparams.R#L486   # Close the table body and the table t ...
-R/screen_limma_hyperparams.R#L487   html_table <- paste0(html_table, "</tb ...
-R/screen_limma_hyperparams.R#L488    ...
-R/screen_limma_hyperparams.R#L489   html_table <- paste0(custom_css, html_ ...
-R/screen_limma_hyperparams.R#L490    ...
-R/screen_limma_hyperparams.R#L491   writeLines( ...
-R/screen_limma_hyperparams.R#L495    ...
-R/screen_limma_hyperparams.R#L496   cat( ...
-R/screen_limma_hyperparams.R#L554   data <- datas[[data_index]] ...
-R/screen_limma_hyperparams.R#L555   rna_seq_data <- rna_seq_datas[[data_in ...
-R/screen_limma_hyperparams.R#L556   meta <- metas[[data_index]] ...
-R/screen_limma_hyperparams.R#L557   design <- designs[[design_index]] ...
-R/screen_limma_hyperparams.R#L558   mode <- modes[[design_index]] ...
-R/screen_limma_hyperparams.R#L559    ...
-R/screen_limma_hyperparams.R#L560   spline_params <- create_spline_params( ...
-R/screen_limma_hyperparams.R#L568   # Because either DoF or knots are spec ...
-R/screen_limma_hyperparams.R#L569   # If they are not specified, their val ...
-R/screen_limma_hyperparams.R#L570   spline_params <- Filter( ...
-R/screen_limma_hyperparams.R#L574    ...
-R/screen_limma_hyperparams.R#L575   rownames(data) <- feature_names ...
-R/screen_limma_hyperparams.R#L576    ...
-R/screen_limma_hyperparams.R#L577   splineomics <- create_splineomics( ...
-R/screen_limma_hyperparams.R#L585   ) ...
-R/screen_limma_hyperparams.R#L587   # suppressMessages will not affect war ...
-R/screen_limma_hyperparams.R#L588   result <- suppressMessages(run_limma_s ...
-R/screen_limma_hyperparams.R#L590   result[['limma_splines_result']][['tim ...
-R/screen_limma_hyperparams.R#L623    ...
-R/screen_limma_hyperparams.R#L624   results <- list() ...
-R/screen_limma_hyperparams.R#L625   for (i in seq_along(datas)) { ...
-R/screen_limma_hyperparams.R#L633       x = data, ...
-R/screen_limma_hyperparams.R#L634       batch = meta[[meta_batch_column]], ...
-R/screen_limma_hyperparams.R#L635       group = meta[[condition]] ...
-R/screen_limma_hyperparams.R#L639       args$batch2 <- meta[[meta_batch2_c ...
-R/screen_limma_hyperparams.R#L644   } ...
-R/screen_limma_hyperparams.R#L645   return(results) ...
-R/screen_limma_hyperparams.R#L666    ...
-R/screen_limma_hyperparams.R#L667   if (!is.character(cond1name) || nchar( ...
-R/screen_limma_hyperparams.R#L669   if (!is.character(cond2name) || nchar( ...
-R/screen_limma_hyperparams.R#L671    ...
-R/screen_limma_hyperparams.R#L672   res <- list( ...
-R/screen_limma_hyperparams.R#L674       list(), ...
-R/screen_limma_hyperparams.R#L675       list() ...
-R/screen_limma_hyperparams.R#L678   ) ...
-R/screen_limma_hyperparams.R#L679   class(res) <- "hitcomp" ...
-R/screen_limma_hyperparams.R#L680   return(res) ...
-R/screen_limma_hyperparams.R#L705    ...
-R/screen_limma_hyperparams.R#L706   # Validate input ...
-R/screen_limma_hyperparams.R#L707   if (!is.data.frame(top_table)) stop("t ...
-R/screen_limma_hyperparams.R#L708   if (!is.character(params_id) || nchar( ...
-R/screen_limma_hyperparams.R#L710                sep = "")) ...
-R/screen_limma_hyperparams.R#L711   } ...
-R/screen_limma_hyperparams.R#L712   if (!(condition %in% c(1, 2))) stop("c ...
-R/screen_limma_hyperparams.R#L713   if (!is.numeric(threshold)) stop("thre ...
-R/screen_limma_hyperparams.R#L714    ...
-R/screen_limma_hyperparams.R#L715   # Create the list to append ...
-R/screen_limma_hyperparams.R#L716   new_entry <- list( ...
-R/screen_limma_hyperparams.R#L719       params_id = params_id, ...
-R/screen_limma_hyperparams.R#L720       adj_p_value_threshold = threshold ...
-R/screen_limma_hyperparams.R#L722   ) ...
-R/screen_limma_hyperparams.R#L723    ...
-R/screen_limma_hyperparams.R#L724   # Append to the appropriate global lis ...
-R/screen_limma_hyperparams.R#L725   hc_obj$data[[condition]] <- append( ...
-R/screen_limma_hyperparams.R#L729   return(hc_obj) ...
-R/screen_limma_hyperparams.R#L755   hits_1 <- store_hits(hc_obj$data[[1]]) ...
-R/screen_limma_hyperparams.R#L756   hits_2 <- store_hits(hc_obj$data[[2]]) ...
-R/screen_limma_hyperparams.R#L758   color_palette <- c("white", "blue", "y ...
-R/screen_limma_hyperparams.R#L759   breaks <- c(-0.5, 0.5, 1.5, 2.5, 3.5) ...
-R/screen_limma_hyperparams.R#L760    ...
-R/screen_limma_hyperparams.R#L761   # Check if all elements in hits_1 and  ...
-R/screen_limma_hyperparams.R#L762   no_hits_1 <- all(sapply(hits_1, functi ...
-R/screen_limma_hyperparams.R#L763   no_hits_2 <- all(sapply(hits_2, functi ...
-R/screen_limma_hyperparams.R#L764    ...
-R/screen_limma_hyperparams.R#L765   # If both have no hits, create a place ...
-R/screen_limma_hyperparams.R#L766   if (no_hits_1 && no_hits_2) { ...
-R/screen_limma_hyperparams.R#L769       0, ...
-R/screen_limma_hyperparams.R#L770       nrow = 1, ...
-R/screen_limma_hyperparams.R#L771       ncol = 1,  ...
-R/screen_limma_hyperparams.R#L772       dimnames = list("No Hits", "No Hit ...
-R/screen_limma_hyperparams.R#L773       ) ...
-R/screen_limma_hyperparams.R#L776       "No hits found for %s and %s",  ...
-R/screen_limma_hyperparams.R#L777       hc_obj$condition_names[[1]],  ...
-R/screen_limma_hyperparams.R#L778       hc_obj$condition_names[[2]] ...
-R/screen_limma_hyperparams.R#L779       ) ...
-R/screen_limma_hyperparams.R#L783       venn_matrix, color = color_palette ...
-R/screen_limma_hyperparams.R#L784       breaks = breaks, ...
-R/screen_limma_hyperparams.R#L785       cluster_cols = FALSE, ...
-R/screen_limma_hyperparams.R#L786       cluster_rows = FALSE, ...
-R/screen_limma_hyperparams.R#L787       show_rownames = TRUE, ...
-R/screen_limma_hyperparams.R#L788       show_colnames = TRUE, ...
-R/screen_limma_hyperparams.R#L789       border_color = NA, ...
-R/screen_limma_hyperparams.R#L790       main = plot_title, ...
-R/screen_limma_hyperparams.R#L791       silent = TRUE, ...
-R/screen_limma_hyperparams.R#L792       fontsize = 6 ...
-R/screen_limma_hyperparams.R#L796   } ...
-R/screen_limma_hyperparams.R#L798   df <- tidyr::expand_grid( ...
-R/screen_limma_hyperparams.R#L800       flatten_chr(hits_1), ...
-R/screen_limma_hyperparams.R#L801       flatten_chr(hits_2) ...
-R/screen_limma_hyperparams.R#L804       names(hits_1), ...
-R/screen_limma_hyperparams.R#L805       names(hits_2) ...
-R/screen_limma_hyperparams.R#L807   ) ...
-R/screen_limma_hyperparams.R#L808    ...
-R/screen_limma_hyperparams.R#L809   df_1 <- ...
-R/screen_limma_hyperparams.R#L814    ...
-R/screen_limma_hyperparams.R#L815   df_2 <- ...
-R/screen_limma_hyperparams.R#L820    ...
-R/screen_limma_hyperparams.R#L821   venn_matrix <-  ...
-R/screen_limma_hyperparams.R#L829                        values_from = !!r ...
-R/screen_limma_hyperparams.R#L833   venn_matrix <- venn_matrix[, order(col ...
-R/screen_limma_hyperparams.R#L834    ...
-R/screen_limma_hyperparams.R#L835   plot_title <- sprintf("0 -> none, 1 -> ...
-R/screen_limma_hyperparams.R#L838    ...
-R/screen_limma_hyperparams.R#L839   vennheatmap_plot <- pheatmap::pheatmap ...
-R/screen_limma_hyperparams.R#L851    ...
-R/screen_limma_hyperparams.R#L852   return( ...
-R/screen_limma_hyperparams.R#L854       vennheatmap = vennheatmap_plot,  ...
-R/screen_limma_hyperparams.R#L855       nrhits = nrow(venn_matrix) ...
-R/screen_limma_hyperparams.R#L856       ) ...
-R/screen_limma_hyperparams.R#L883    ...
-R/screen_limma_hyperparams.R#L884   plot_data <-  ...
-R/screen_limma_hyperparams.R#L886       store_hits(hc_obj$data[[1]]) |>  ...
-R/screen_limma_hyperparams.R#L889       store_hits(hc_obj$data[[2]]) |>  ...
-R/screen_limma_hyperparams.R#L895    ...
-R/screen_limma_hyperparams.R#L896   ggplot2::ggplot( ...
-R/screen_limma_hyperparams.R#L899       x = !!rlang::sym("params"),  ...
-R/screen_limma_hyperparams.R#L900       y = !!rlang::sym("n_hits") ...
-R/screen_limma_hyperparams.R#L901       ) ...
-R/screen_limma_hyperparams.R#L905       aes(label = !!rlang::sym("n_hits") ...
-R/screen_limma_hyperparams.R#L906       vjust = -0.5, ...
-R/screen_limma_hyperparams.R#L907        ...
-R/screen_limma_hyperparams.R#L911       "Nr. of hits", ...
-R/screen_limma_hyperparams.R#L912       expand = expansion(mult = c(0, .2) ...
-R/screen_limma_hyperparams.R#L917       axis.text.x = element_text( ...
-R/screen_limma_hyperparams.R#L923       panel.grid.major.x = element_blank ...
-R/screen_limma_hyperparams.R#L945    ...
-R/screen_limma_hyperparams.R#L946   combo_pair_combined <- c( ...
-R/screen_limma_hyperparams.R#L950    ...
-R/screen_limma_hyperparams.R#L951   hitcomp <- hc_new( ...
-R/screen_limma_hyperparams.R#L955    ...
-R/screen_limma_hyperparams.R#L956   combo_names <- sapply(names(combo_pair ...
-R/screen_limma_hyperparams.R#L960   }) ...
-R/screen_limma_hyperparams.R#L961    ...
-R/screen_limma_hyperparams.R#L962   condition_nr <- 1L ...
-R/screen_limma_hyperparams.R#L963   for (i in 1:length(combo_pair_combined ...
-R/screen_limma_hyperparams.R#L970       condition_nr <- 2L ...
-R/screen_limma_hyperparams.R#L974       top_table <- combo_top_tables[[top ...
-R/screen_limma_hyperparams.R#L975       id <- paste( ...
-R/screen_limma_hyperparams.R#L980       hitcomp <- hc_add( ...
-R/screen_limma_hyperparams.R#L988   } ...
-R/screen_limma_hyperparams.R#L990   result <- hc_vennheatmap(hitcomp) ...
-R/screen_limma_hyperparams.R#L991   barplot <- hc_barplot(hitcomp) ...
-R/screen_limma_hyperparams.R#L992    ...
-R/screen_limma_hyperparams.R#L993   list( ...
-R/screen_limma_hyperparams.R#L998   ) ...
-R/screen_limma_hyperparams.R#L1001   ...
-R/screen_limma_hyperparams.R#L1031    ...
-R/screen_limma_hyperparams.R#L1032   plots <- list() ...
-R/screen_limma_hyperparams.R#L1033   plots_len <- integer(0) ...
-R/screen_limma_hyperparams.R#L1034    ...
-R/screen_limma_hyperparams.R#L1035   # all the combos of DoF and adj. p-val ...
-R/screen_limma_hyperparams.R#L1036   for (combo_name in names(internal_comb ...
-R/screen_limma_hyperparams.R#L1047       top_table <- top_tables_levels[[to ...
-R/screen_limma_hyperparams.R#L1048        ...
-R/screen_limma_hyperparams.R#L1049       parts <- strsplit(top_table_name,  ...
-R/screen_limma_hyperparams.R#L1050       condition <- parts[1] ...
-R/screen_limma_hyperparams.R#L1051       level <- parts[2] ...
-R/screen_limma_hyperparams.R#L1052       meta_level <- meta[meta[[condition ...
-R/screen_limma_hyperparams.R#L1053       data_level <- data[, which(meta[[c ...
-R/screen_limma_hyperparams.R#L1054        ...
-R/screen_limma_hyperparams.R#L1055       # Show 6 significant and 6 non sig ...
-R/screen_limma_hyperparams.R#L1056       # composite plot (the 6 individual ...
-R/screen_limma_hyperparams.R#L1057       for (type in c('significant', 'not ...
-R/screen_limma_hyperparams.R#L1060           filtered_rows <- top_table[top ...
-R/screen_limma_hyperparams.R#L1061           selected_rows <- if (nrow(filt ...
-R/screen_limma_hyperparams.R#L1063           } else { ...
-R/screen_limma_hyperparams.R#L1065           } ...
-R/screen_limma_hyperparams.R#L1066           indices <- as.integer(selected ...
-R/screen_limma_hyperparams.R#L1068           filtered_rows <- top_table[top ...
-R/screen_limma_hyperparams.R#L1069           selected_rows <- if (nrow(filt ...
-R/screen_limma_hyperparams.R#L1071           } else { ...
-R/screen_limma_hyperparams.R#L1073           } ...
-R/screen_limma_hyperparams.R#L1074           indices <- as.integer(selected ...
-R/screen_limma_hyperparams.R#L1081           data_level,  ...
-R/screen_limma_hyperparams.R#L1082           meta_level, ...
-R/screen_limma_hyperparams.R#L1083           spline_test_configs, ...
-R/screen_limma_hyperparams.R#L1084           top_table,  ...
-R/screen_limma_hyperparams.R#L1085           combo_name,  ...
-R/screen_limma_hyperparams.R#L1086           indices, ...
-R/screen_limma_hyperparams.R#L1087           type, ...
-R/screen_limma_hyperparams.R#L1088           time_unit_label ...
-R/screen_limma_hyperparams.R#L1089           ) ...
-R/screen_limma_hyperparams.R#L1092           plot_name <- paste( ...
-R/screen_limma_hyperparams.R#L1098           plots[[plot_name]] <- result$c ...
-R/screen_limma_hyperparams.R#L1099           plots_len <- c(plots_len, resu ...
-R/screen_limma_hyperparams.R#L1101       } ...
-R/screen_limma_hyperparams.R#L1103   } ...
-R/screen_limma_hyperparams.R#L1104    ...
-R/screen_limma_hyperparams.R#L1105   list( ...
-R/screen_limma_hyperparams.R#L1138   plots <- list() ...
-R/screen_limma_hyperparams.R#L1139   plots_len <- integer(0) ...
-R/screen_limma_hyperparams.R#L1140    ...
-R/screen_limma_hyperparams.R#L1141   hitcomp <- combo_pair$hitcomp ...
-R/screen_limma_hyperparams.R#L1142    ...
-R/screen_limma_hyperparams.R#L1143   plots[[1]] <- hitcomp$vennheatmap ...
-R/screen_limma_hyperparams.R#L1144   plots[[2]] <- hitcomp$vennheatmap ...
-R/screen_limma_hyperparams.R#L1145   plots[[3]] <- hitcomp$barplot ...
-R/screen_limma_hyperparams.R#L1146    ...
-R/screen_limma_hyperparams.R#L1147   plots_len <- c( ...
-R/screen_limma_hyperparams.R#L1153    ...
-R/screen_limma_hyperparams.R#L1154   composites <- combo_pair$composites ...
-R/screen_limma_hyperparams.R#L1155    ...
-R/screen_limma_hyperparams.R#L1156   for (composite in composites) { ...
-R/screen_limma_hyperparams.R#L1158       plots[[length(plots) + 1]] <- plot ...
-R/screen_limma_hyperparams.R#L1162       plots_len <- c(plots_len, len) ...
-R/screen_limma_hyperparams.R#L1164   } ...
-R/screen_limma_hyperparams.R#L1165    ...
-R/screen_limma_hyperparams.R#L1166   # Function is in splinetime_general_fu ...
-R/screen_limma_hyperparams.R#L1167   generate_report_html( ...
-R/screen_limma_hyperparams.R#L1203    ...
-R/screen_limma_hyperparams.R#L1204   num_levels <- length(unique(meta[[cond ...
-R/screen_limma_hyperparams.R#L1205    ...
-R/screen_limma_hyperparams.R#L1206   result <- lapply( ...
-R/screen_limma_hyperparams.R#L1213   return(result) ...
-R/screen_limma_hyperparams.R#L1227    ...
-R/screen_limma_hyperparams.R#L1228   formatted_layers <- list() ...
-R/screen_limma_hyperparams.R#L1229    ...
-R/screen_limma_hyperparams.R#L1230   names_of_spline_configs <- names(splin ...
-R/screen_limma_hyperparams.R#L1231   for (i in 1:length(spline_configs$spli ...
-R/screen_limma_hyperparams.R#L1237       formatted_strings <<- c( ...
-R/screen_limma_hyperparams.R#L1240           name, ...
-R/screen_limma_hyperparams.R#L1241           " = ",  ...
-R/screen_limma_hyperparams.R#L1242           paste( ...
-R/screen_limma_hyperparams.R#L1245           ) ...
-R/screen_limma_hyperparams.R#L1247        ...
-R/screen_limma_hyperparams.R#L1253   } ...
-R/screen_limma_hyperparams.R#L1254   formatted_layers ...
-R/screen_limma_hyperparams.R#L1272    ...
-R/screen_limma_hyperparams.R#L1273   if (is.atomic(x)) { ...
-R/screen_limma_hyperparams.R#L1275   } else { ...
-R/screen_limma_hyperparams.R#L1277   } ...
-R/screen_limma_hyperparams.R#L1303   if (mode == "integrated") { ...
-R/screen_limma_hyperparams.R#L1305       config_column[[index]] ...
-R/screen_limma_hyperparams.R#L1307       config_column[index] ...
-R/screen_limma_hyperparams.R#L1309   } else {     # mode = 'isolated' ...
-R/screen_limma_hyperparams.R#L1311       rep(config_column[[index]], num_le ...
-R/screen_limma_hyperparams.R#L1313       rep(config_column[index], num_leve ...
-R/screen_limma_hyperparams.R#L1315   } ...
-R/screen_limma_hyperparams.R#L1334    ...
-R/screen_limma_hyperparams.R#L1335   hits_cond <- list() ...
-R/screen_limma_hyperparams.R#L1336    ...
-R/screen_limma_hyperparams.R#L1337   for (item in condition) { ...
-R/screen_limma_hyperparams.R#L1343       filter(df[["adj.P.Val"]] < adj_p_v ...
-R/screen_limma_hyperparams.R#L1344       pull(!!sym("feature_nr")) |> ...
-R/screen_limma_hyperparams.R#L1345       as.character() ...
-R/screen_limma_hyperparams.R#L1346   } ...
-R/screen_limma_hyperparams.R#L1347    ...
-R/screen_limma_hyperparams.R#L1348   return(hits_cond) ...
-R/screen_limma_hyperparams.R#L1392    ...
-R/screen_limma_hyperparams.R#L1393   plot_list <- list() ...
-R/screen_limma_hyperparams.R#L1394   config_index <-  ...
-R/screen_limma_hyperparams.R#L1397   smooth_timepoints <- seq(meta$Time[1], ...
-R/screen_limma_hyperparams.R#L1398                            meta$Time[len ...
-R/screen_limma_hyperparams.R#L1399                            length.out =  ...
-R/screen_limma_hyperparams.R#L1400    ...
-R/screen_limma_hyperparams.R#L1401   args <- list(x = smooth_timepoints, in ...
-R/screen_limma_hyperparams.R#L1402   args$df <- spline_test_configs$dof[[co ...
-R/screen_limma_hyperparams.R#L1404   if (spline_test_configs$spline_type[co ...
-R/screen_limma_hyperparams.R#L1407   } else {                               ...
-R/screen_limma_hyperparams.R#L1409   } ...
-R/screen_limma_hyperparams.R#L1410    ...
-R/screen_limma_hyperparams.R#L1411   # Generate all the individual plots ...
-R/screen_limma_hyperparams.R#L1412   for (index in indices) { ...
-R/screen_limma_hyperparams.R#L1416       as.numeric(top_table[top_table$fea ...
-R/screen_limma_hyperparams.R#L1417                              index, past ...
-R/screen_limma_hyperparams.R#L1420       as.numeric(top_table$intercept[top ...
-R/screen_limma_hyperparams.R#L1434       geom_point(data = plot_data, aes(x ...
-R/screen_limma_hyperparams.R#L1435                                        y ...
-R/screen_limma_hyperparams.R#L1436                  color = 'blue') + ...
-R/screen_limma_hyperparams.R#L1437       geom_line(data = plot_spline, aes( ...
-R/screen_limma_hyperparams.R#L1440       theme_minimal() + ...
-R/screen_limma_hyperparams.R#L1441       scale_x_continuous(limits = c(min( ...
-R/screen_limma_hyperparams.R#L1446       title <- paste("Feature:", index) ...
-R/screen_limma_hyperparams.R#L1450                   x = paste0("Time ", ti ...
-R/screen_limma_hyperparams.R#L1451       theme(plot.title = element_text(si ...
-R/screen_limma_hyperparams.R#L1454       annotate("text", x = x_max + (x_ex ...
-R/screen_limma_hyperparams.R#L1455                  max(fitted_values, na.r ...
-R/screen_limma_hyperparams.R#L1456                label = "", ...
-R/screen_limma_hyperparams.R#L1457                hjust = 0.5, vjust = 1, s ...
-R/screen_limma_hyperparams.R#L1460   } ...
-R/screen_limma_hyperparams.R#L1461    ...
-R/screen_limma_hyperparams.R#L1462   if (length(plot_list) > 0) { ...
-R/screen_limma_hyperparams.R#L1469       patchwork::plot_annotation(title = ...
-R/screen_limma_hyperparams.R#L1470                                          ...
-R/screen_limma_hyperparams.R#L1471                       theme = theme(plot ...
-R/screen_limma_hyperparams.R#L1472                                          ...
-R/screen_limma_hyperparams.R#L1475       composite_plot = composite_plot,  ...
-R/screen_limma_hyperparams.R#L1476       composite_plot_len = composite_plo ...
-R/screen_limma_hyperparams.R#L1477       ) ...
-R/screen_limma_hyperparams.R#L1478   } else { ...
-R/screen_limma_hyperparams.R#L1480   } ...
-R/screen_limma_hyperparams.R#L1512   html_content <- paste(header_section,  ...
-R/screen_limma_hyperparams.R#L1513    ...
-R/screen_limma_hyperparams.R#L1514   toc <- create_toc() ...
-R/screen_limma_hyperparams.R#L1515    ...
-R/screen_limma_hyperparams.R#L1516   styles <- define_html_styles() ...
-R/screen_limma_hyperparams.R#L1517   section_header_style <- styles$section ...
-R/screen_limma_hyperparams.R#L1518   toc_style <- styles$toc_style ...
-R/screen_limma_hyperparams.R#L1519    ...
-R/screen_limma_hyperparams.R#L1520   headers <- c( ...
-R/screen_limma_hyperparams.R#L1526    ...
-R/screen_limma_hyperparams.R#L1527   # section_texts <- get_hyperparams_scr ...
-R/screen_limma_hyperparams.R#L1528   section_texts <- read_section_texts( ...
-R/screen_limma_hyperparams.R#L1531    ...
-R/screen_limma_hyperparams.R#L1532   nr_of_sections <- length(headers) ...
-R/screen_limma_hyperparams.R#L1533    ...
-R/screen_limma_hyperparams.R#L1534   for (index in seq_along(plots)) { ...
-R/screen_limma_hyperparams.R#L1537        ...
-R/screen_limma_hyperparams.R#L1538       section_header <- sprintf( ...
-R/screen_limma_hyperparams.R#L1544        ...
-R/screen_limma_hyperparams.R#L1545       section_text <- sprintf('<p style= ...
-R/screen_limma_hyperparams.R#L1546                                   sectio ...
-R/screen_limma_hyperparams.R#L1547        ...
-R/screen_limma_hyperparams.R#L1548       html_content <- paste( ...
-R/screen_limma_hyperparams.R#L1554        ...
-R/screen_limma_hyperparams.R#L1555       toc_entry <- sprintf("<li style='% ...
-R/screen_limma_hyperparams.R#L1556                            toc_style, in ...
-R/screen_limma_hyperparams.R#L1557       toc <- paste(toc, toc_entry, sep = ...
-R/screen_limma_hyperparams.R#L1561       plots_element = plots[[index]], ...
-R/screen_limma_hyperparams.R#L1562       plots_size = plots_sizes[[index]], ...
-R/screen_limma_hyperparams.R#L1563       html_content = html_content, ...
-R/screen_limma_hyperparams.R#L1564       toc = toc, ...
-R/screen_limma_hyperparams.R#L1565       header_index = index ...
-R/screen_limma_hyperparams.R#L1569   } ...
-R/screen_limma_hyperparams.R#L1570    ...
-R/screen_limma_hyperparams.R#L1571   generate_and_write_html( ...
-R/screen_limma_hyperparams.R#L1576   ) ...
-R/splineomics_object.R#L71   splineomics <- list( ...
-R/splineomics_object.R#L85   ) ...
-R/splineomics_object.R#L86    ...
-R/splineomics_object.R#L87   class(splineomics) <- "SplineOmics" ...
-R/splineomics_object.R#L88   return(splineomics) ...
-R/splineomics_object.R#L108    ...
-R/splineomics_object.R#L109   if (!inherits(splineomics, "SplineOmic ...
-R/splineomics_object.R#L111   } ...
-R/splineomics_object.R#L112    ...
-R/splineomics_object.R#L113   allowed_fields <- c( ...
-R/splineomics_object.R#L128    ...
-R/splineomics_object.R#L129   args <- list(...) ...
-R/splineomics_object.R#L131   for (name in names(args)) { ...
-R/splineomics_object.R#L133       stop(paste("Field", name, "is not  ...
-R/splineomics_object.R#L136   } ...
-R/splineomics_object.R#L137    ...
-R/splineomics_object.R#L138   return(splineomics) ...
-R/splineomics_object.R#L167   cat("data:") ...
-R/splineomics_object.R#L168   cat("SplineOmics Object\n") ...
-R/splineomics_object.R#L169   cat("-------------------\n") ...
-R/splineomics_object.R#L170    ...
-R/splineomics_object.R#L171   # Print summary information ...
-R/splineomics_object.R#L172   cat("Number of features (rows):", nrow ...
-R/splineomics_object.R#L173   cat("Number of samples (columns):", nc ...
-R/splineomics_object.R#L174    ...
-R/splineomics_object.R#L175   cat("Meta data columns:", ncol(x$meta) ...
-R/splineomics_object.R#L176   cat("First few meta columns:\n") ...
-R/splineomics_object.R#L177   print(utils::head(x$meta, 3)) ...
-R/splineomics_object.R#L178    ...
-R/splineomics_object.R#L179   cat("Condition:", x$condition, "\n") ...
-R/splineomics_object.R#L180    ...
-R/splineomics_object.R#L181   if (!is.null(x$rna_seq_data)) { ...
-R/splineomics_object.R#L183   } else { ...
-R/splineomics_object.R#L185   } ...
-R/splineomics_object.R#L186    ...
-R/splineomics_object.R#L187   if (!is.null(x$annotation)) { ...
-R/splineomics_object.R#L189   } else { ...
-R/splineomics_object.R#L191   } ...
-R/splineomics_object.R#L192    ...
-R/splineomics_object.R#L193   if (!is.null(x$spline_params)) { ...
-R/splineomics_object.R#L196   } else { ...
-R/splineomics_object.R#L198   } ...
-R/splineomics_object.R#L199    ...
-R/splineomics_object.R#L200   cat("P-value adjustment method:", x$pa ...
-R/utils_general.R#L28    ...
-R/utils_general.R#L29   # Create and return the progress bar ...
-R/utils_general.R#L30   pb <- progress::progress_bar$new( ...
-R/utils_general.R#L35   ) ...
-R/utils_general.R#L36    ...
-R/utils_general.R#L37   return(pb) ...
-R/utils_general.R#L71   args <- list( ...
-R/utils_general.R#L75    ...
-R/utils_general.R#L76   if (!is.null(spline_params$dof)) { ...
-R/utils_general.R#L78   } else { ...
+R/screen_limma_hyperparams.R#L461   # Start HTML table with the header ...
+R/screen_limma_hyperparams.R#L462   html_table <- "<table>" ...
+R/screen_limma_hyperparams.R#L463   html_table <- paste0(html_table, "<the ...
+R/screen_limma_hyperparams.R#L465   # Add column headers ...
+R/screen_limma_hyperparams.R#L466   for (header in colnames(table_df)) { ...
+R/screen_limma_hyperparams.R#L468   } ...
+R/screen_limma_hyperparams.R#L469   html_table <- paste0(html_table, "</tr ...
+R/screen_limma_hyperparams.R#L471   # Add table rows ...
+R/screen_limma_hyperparams.R#L472   for (i in 1:nrow(table_df)) { ...
+R/screen_limma_hyperparams.R#L475       html_table <- paste0(html_table, " ...
+R/screen_limma_hyperparams.R#L478   } ...
+R/screen_limma_hyperparams.R#L480   # Close the table body and the table t ...
+R/screen_limma_hyperparams.R#L481   html_table <- paste0(html_table, "</tb ...
+R/screen_limma_hyperparams.R#L483   html_table <- paste0(custom_css, html_ ...
+R/screen_limma_hyperparams.R#L485   writeLines( ...
+R/screen_limma_hyperparams.R#L488   ) ...
+R/screen_limma_hyperparams.R#L490   message( ...
+R/screen_limma_hyperparams.R#L493   ) ...
+R/screen_limma_hyperparams.R#L546   data <- datas[[data_index]] ...
+R/screen_limma_hyperparams.R#L547   rna_seq_data <- rna_seq_datas[[data_in ...
+R/screen_limma_hyperparams.R#L548   meta <- metas[[data_index]] ...
+R/screen_limma_hyperparams.R#L549   design <- designs[[design_index]] ...
+R/screen_limma_hyperparams.R#L550   mode <- modes[[design_index]] ...
+R/screen_limma_hyperparams.R#L552   spline_params <- create_spline_params( ...
+R/screen_limma_hyperparams.R#L558   ) ...
+R/screen_limma_hyperparams.R#L560   # Because either DoF or knots are spec ...
+R/screen_limma_hyperparams.R#L561   # If they are not specified, their val ...
+R/screen_limma_hyperparams.R#L562   spline_params <- Filter( ...
+R/screen_limma_hyperparams.R#L565   ) ...
+R/screen_limma_hyperparams.R#L567   rownames(data) <- feature_names ...
+R/screen_limma_hyperparams.R#L569   splineomics <- create_splineomics( ...
+R/screen_limma_hyperparams.R#L577   ) ...
+R/screen_limma_hyperparams.R#L579   # suppressMessages will not affect war ...
+R/screen_limma_hyperparams.R#L580   result <- suppressMessages(run_limma_s ...
+R/screen_limma_hyperparams.R#L582   result[["limma_splines_result"]][["tim ...
+R/screen_limma_hyperparams.R#L614   results <- list() ...
+R/screen_limma_hyperparams.R#L615   for (i in seq_along(datas)) { ...
+R/screen_limma_hyperparams.R#L623       x = data, ...
+R/screen_limma_hyperparams.R#L624       batch = meta[[meta_batch_column]], ...
+R/screen_limma_hyperparams.R#L625       group = meta[[condition]] ...
+R/screen_limma_hyperparams.R#L629       args$batch2 <- meta[[meta_batch2_c ...
+R/screen_limma_hyperparams.R#L634   } ...
+R/screen_limma_hyperparams.R#L635   return(results) ...
+R/screen_limma_hyperparams.R#L655   if (!is.character(cond1name) || nchar( ...
+R/screen_limma_hyperparams.R#L657   } ...
+R/screen_limma_hyperparams.R#L658   if (!is.character(cond2name) || nchar( ...
+R/screen_limma_hyperparams.R#L660   } ...
+R/screen_limma_hyperparams.R#L662   res <- list( ...
+R/screen_limma_hyperparams.R#L664       list(), ...
+R/screen_limma_hyperparams.R#L665       list() ...
+R/screen_limma_hyperparams.R#L668   ) ...
+R/screen_limma_hyperparams.R#L669   class(res) <- "hitcomp" ...
+R/screen_limma_hyperparams.R#L670   return(res) ...
+R/screen_limma_hyperparams.R#L694   # Validate input ...
+R/screen_limma_hyperparams.R#L695   if (!is.data.frame(top_table)) stop("t ...
+R/screen_limma_hyperparams.R#L696   if (!is.character(params_id) || nchar( ...
+R/screen_limma_hyperparams.R#L698       sep = "" ...
+R/screen_limma_hyperparams.R#L700   } ...
+R/screen_limma_hyperparams.R#L701   if (!(condition %in% c(1, 2))) stop("c ...
+R/screen_limma_hyperparams.R#L702   if (!is.numeric(threshold)) stop("thre ...
+R/screen_limma_hyperparams.R#L704   # Create the list to append ...
+R/screen_limma_hyperparams.R#L705   new_entry <- list( ...
+R/screen_limma_hyperparams.R#L708       params_id = params_id, ...
+R/screen_limma_hyperparams.R#L709       adj_p_value_threshold = threshold ...
+R/screen_limma_hyperparams.R#L711   ) ...
+R/screen_limma_hyperparams.R#L713   # Append to the appropriate global lis ...
+R/screen_limma_hyperparams.R#L714   hc_obj$data[[condition]] <- append( ...
+R/screen_limma_hyperparams.R#L717   ) ...
+R/screen_limma_hyperparams.R#L718   return(hc_obj) ...
+R/screen_limma_hyperparams.R#L743   hits_1 <- store_hits(hc_obj$data[[1]]) ...
+R/screen_limma_hyperparams.R#L744   hits_2 <- store_hits(hc_obj$data[[2]]) ...
+R/screen_limma_hyperparams.R#L746   color_palette <- c("white", "blue", "y ...
+R/screen_limma_hyperparams.R#L747   breaks <- c(-0.5, 0.5, 1.5, 2.5, 3.5) ...
+R/screen_limma_hyperparams.R#L749   # Check if all elements in hits_1 and  ...
+R/screen_limma_hyperparams.R#L750   no_hits_1 <- all(vapply(hits_1, functi ...
+R/screen_limma_hyperparams.R#L751   no_hits_2 <- all(vapply(hits_2, functi ...
+R/screen_limma_hyperparams.R#L753   # If both have no hits, create a place ...
+R/screen_limma_hyperparams.R#L754   if (no_hits_1 && no_hits_2) { ...
+R/screen_limma_hyperparams.R#L757       0, ...
+R/screen_limma_hyperparams.R#L758       nrow = 1, ...
+R/screen_limma_hyperparams.R#L759       ncol = 1, ...
+R/screen_limma_hyperparams.R#L760       dimnames = list("No Hits", "No Hit ...
+R/screen_limma_hyperparams.R#L764       "No hits found for %s and %s", ...
+R/screen_limma_hyperparams.R#L765       hc_obj$condition_names[[1]], ...
+R/screen_limma_hyperparams.R#L766       hc_obj$condition_names[[2]] ...
+R/screen_limma_hyperparams.R#L771       venn_matrix, ...
+R/screen_limma_hyperparams.R#L772       color = color_palette, ...
+R/screen_limma_hyperparams.R#L773       breaks = breaks, ...
+R/screen_limma_hyperparams.R#L774       cluster_cols = FALSE, ...
+R/screen_limma_hyperparams.R#L775       cluster_rows = FALSE, ...
+R/screen_limma_hyperparams.R#L776       show_rownames = TRUE, ...
+R/screen_limma_hyperparams.R#L777       show_colnames = TRUE, ...
+R/screen_limma_hyperparams.R#L778       border_color = NA, ...
+R/screen_limma_hyperparams.R#L779       main = plot_title, ...
+R/screen_limma_hyperparams.R#L780       silent = TRUE, ...
+R/screen_limma_hyperparams.R#L781       fontsize = 6 ...
+R/screen_limma_hyperparams.R#L785   } ...
+R/screen_limma_hyperparams.R#L787   df <- tidyr::expand_grid( ...
+R/screen_limma_hyperparams.R#L789       flatten_chr(hits_1), ...
+R/screen_limma_hyperparams.R#L790       flatten_chr(hits_2) ...
+R/screen_limma_hyperparams.R#L793       names(hits_1), ...
+R/screen_limma_hyperparams.R#L794       names(hits_2) ...
+R/screen_limma_hyperparams.R#L796   ) ...
+R/screen_limma_hyperparams.R#L798   df_1 <- ...
+R/screen_limma_hyperparams.R#L804   df_2 <- ...
+R/screen_limma_hyperparams.R#L810   venn_matrix <- ...
+R/screen_limma_hyperparams.R#L818       names_from = !!rlang::sym("params" ...
+R/screen_limma_hyperparams.R#L819       values_from = !!rlang::sym("x") ...
+R/screen_limma_hyperparams.R#L824   venn_matrix <- venn_matrix[, order(col ...
+R/screen_limma_hyperparams.R#L826   plot_title <- sprintf( ...
+R/screen_limma_hyperparams.R#L830   ) ...
+R/screen_limma_hyperparams.R#L832   vennheatmap_plot <- pheatmap::pheatmap ...
+R/screen_limma_hyperparams.R#L844   ) ...
+R/screen_limma_hyperparams.R#L846   return( ...
+R/screen_limma_hyperparams.R#L848       vennheatmap = vennheatmap_plot, ...
+R/screen_limma_hyperparams.R#L849       nrhits = nrow(venn_matrix) ...
+R/screen_limma_hyperparams.R#L851   ) ...
+R/screen_limma_hyperparams.R#L877   plot_data <- ...
+R/screen_limma_hyperparams.R#L879       store_hits(hc_obj$data[[1]]) |> ...
+R/screen_limma_hyperparams.R#L882       store_hits(hc_obj$data[[2]]) |> ...
+R/screen_limma_hyperparams.R#L889   ggplot2::ggplot( ...
+R/screen_limma_hyperparams.R#L892       x = !!rlang::sym("params"), ...
+R/screen_limma_hyperparams.R#L893       y = !!rlang::sym("n_hits") ...
+R/screen_limma_hyperparams.R#L895   ) + ...
+R/screen_limma_hyperparams.R#L898       aes(label = !!rlang::sym("n_hits") ...
+R/screen_limma_hyperparams.R#L899       vjust = -0.5, ...
+R/screen_limma_hyperparams.R#L903       "Nr. of hits", ...
+R/screen_limma_hyperparams.R#L904       expand = expansion(mult = c(0, .2) ...
+R/screen_limma_hyperparams.R#L909       axis.text.x = element_text( ...
+R/screen_limma_hyperparams.R#L914       ), ...
+R/screen_limma_hyperparams.R#L915       panel.grid.major.x = element_blank ...
+R/screen_limma_hyperparams.R#L937   combo_pair_combined <- c( ...
+R/screen_limma_hyperparams.R#L940   ) ...
+R/screen_limma_hyperparams.R#L942   hitcomp <- hc_new( ...
+R/screen_limma_hyperparams.R#L945   ) ...
+R/screen_limma_hyperparams.R#L947   combo_names <- vapply(names(combo_pair ...
+R/screen_limma_hyperparams.R#L951   }, character(1)) ...
+R/screen_limma_hyperparams.R#L953   condition_nr <- 1L ...
+R/screen_limma_hyperparams.R#L954   for (i in 1:length(combo_pair_combined ...
+R/screen_limma_hyperparams.R#L961       condition_nr <- 2L ...
+R/screen_limma_hyperparams.R#L965       top_table <- combo_top_tables[[top ...
+R/screen_limma_hyperparams.R#L966       id <- paste( ...
+R/screen_limma_hyperparams.R#L970       ) ...
+R/screen_limma_hyperparams.R#L971       hitcomp <- hc_add( ...
+R/screen_limma_hyperparams.R#L977       ) ...
+R/screen_limma_hyperparams.R#L979   } ...
+R/screen_limma_hyperparams.R#L981   result <- hc_vennheatmap(hitcomp) ...
+R/screen_limma_hyperparams.R#L982   barplot <- hc_barplot(hitcomp) ...
+R/screen_limma_hyperparams.R#L984   list( ...
+R/screen_limma_hyperparams.R#L989   ) ...
+R/screen_limma_hyperparams.R#L1021   plots <- list() ...
+R/screen_limma_hyperparams.R#L1022   plots_len <- integer(0) ...
+R/screen_limma_hyperparams.R#L1024   # all the combos of DoF and adj. p-val ...
+R/screen_limma_hyperparams.R#L1025   for (combo_name in names(internal_comb ...
+R/screen_limma_hyperparams.R#L1036       top_table <- top_tables_levels[[to ...
+R/screen_limma_hyperparams.R#L1038       parts <- strsplit(top_table_name,  ...
+R/screen_limma_hyperparams.R#L1039       condition <- parts[1] ...
+R/screen_limma_hyperparams.R#L1040       level <- parts[2] ...
+R/screen_limma_hyperparams.R#L1041       meta_level <- meta[meta[[condition ...
+R/screen_limma_hyperparams.R#L1042       data_level <- data[, which(meta[[c ...
+R/screen_limma_hyperparams.R#L1044       # Show 6 significant and 6 non sig ...
+R/screen_limma_hyperparams.R#L1045       # composite plot (the 6 individual ...
+R/screen_limma_hyperparams.R#L1046       for (type in c("significant", "not ...
+R/screen_limma_hyperparams.R#L1048           filtered_rows <- top_table[top ...
+R/screen_limma_hyperparams.R#L1049           selected_rows <- if (nrow(filt ...
+R/screen_limma_hyperparams.R#L1051           } else { ...
+R/screen_limma_hyperparams.R#L1053           } ...
+R/screen_limma_hyperparams.R#L1054           indices <- as.integer(selected ...
+R/screen_limma_hyperparams.R#L1056           filtered_rows <- top_table[top ...
+R/screen_limma_hyperparams.R#L1057           selected_rows <- if (nrow(filt ...
+R/screen_limma_hyperparams.R#L1059           } else { ...
+R/screen_limma_hyperparams.R#L1061           } ...
+R/screen_limma_hyperparams.R#L1062           indices <- as.integer(selected ...
+R/screen_limma_hyperparams.R#L1069           data_level, ...
+R/screen_limma_hyperparams.R#L1070           meta_level, ...
+R/screen_limma_hyperparams.R#L1071           spline_test_configs, ...
+R/screen_limma_hyperparams.R#L1072           top_table, ...
+R/screen_limma_hyperparams.R#L1073           combo_name, ...
+R/screen_limma_hyperparams.R#L1074           indices, ...
+R/screen_limma_hyperparams.R#L1075           type, ...
+R/screen_limma_hyperparams.R#L1076           time_unit_label ...
+R/screen_limma_hyperparams.R#L1080           plot_name <- paste( ...
+R/screen_limma_hyperparams.R#L1085           ) ...
+R/screen_limma_hyperparams.R#L1086           plots[[plot_name]] <- result$c ...
+R/screen_limma_hyperparams.R#L1087           plots_len <- c(plots_len, resu ...
+R/screen_limma_hyperparams.R#L1089       } ...
+R/screen_limma_hyperparams.R#L1091   } ...
+R/screen_limma_hyperparams.R#L1093   list( ...
+R/screen_limma_hyperparams.R#L1096   ) ...
+R/screen_limma_hyperparams.R#L1124   plots <- list() ...
+R/screen_limma_hyperparams.R#L1125   plots_len <- integer(0) ...
+R/screen_limma_hyperparams.R#L1127   hitcomp <- combo_pair$hitcomp ...
+R/screen_limma_hyperparams.R#L1129   plots[[1]] <- hitcomp$vennheatmap ...
+R/screen_limma_hyperparams.R#L1130   plots[[2]] <- hitcomp$vennheatmap ...
+R/screen_limma_hyperparams.R#L1131   plots[[3]] <- hitcomp$barplot ...
+R/screen_limma_hyperparams.R#L1133   plots_len <- c( ...
+R/screen_limma_hyperparams.R#L1138   ) ...
+R/screen_limma_hyperparams.R#L1140   composites <- combo_pair$composites ...
+R/screen_limma_hyperparams.R#L1142   for (composite in composites) { ...
+R/screen_limma_hyperparams.R#L1144       plots[[length(plots) + 1]] <- plot ...
+R/screen_limma_hyperparams.R#L1148       plots_len <- c(plots_len, len) ...
+R/screen_limma_hyperparams.R#L1150   } ...
+R/screen_limma_hyperparams.R#L1152   # Function is in splinetime_general_fu ...
+R/screen_limma_hyperparams.R#L1153   generate_report_html( ...
+R/screen_limma_hyperparams.R#L1161   ) ...
+R/screen_limma_hyperparams.R#L1188   num_levels <- length(unique(meta[[cond ...
+R/screen_limma_hyperparams.R#L1190   result <- lapply( ...
+R/screen_limma_hyperparams.R#L1196   ) ...
+R/screen_limma_hyperparams.R#L1197   return(result) ...
+R/screen_limma_hyperparams.R#L1211   formatted_layers <- list() ...
+R/screen_limma_hyperparams.R#L1213   names_of_spline_configs <- names(splin ...
+R/screen_limma_hyperparams.R#L1214   for (i in 1:length(spline_configs$spli ...
+R/screen_limma_hyperparams.R#L1220       formatted_strings <- c( ...
+R/screen_limma_hyperparams.R#L1223           name, ...
+R/screen_limma_hyperparams.R#L1224           " = ", ...
+R/screen_limma_hyperparams.R#L1225           paste( ...
+R/screen_limma_hyperparams.R#L1228           ) ...
+R/screen_limma_hyperparams.R#L1230       ) ...
+R/screen_limma_hyperparams.R#L1235   } ...
+R/screen_limma_hyperparams.R#L1236   formatted_layers ...
+R/screen_limma_hyperparams.R#L1254   if (is.atomic(x)) { ...
+R/screen_limma_hyperparams.R#L1256   } else { ...
+R/screen_limma_hyperparams.R#L1258   } ...
+R/screen_limma_hyperparams.R#L1282   if (mode == "integrated") { ...
+R/screen_limma_hyperparams.R#L1284       config_column[[index]] ...
+R/screen_limma_hyperparams.R#L1286       config_column[index] ...
+R/screen_limma_hyperparams.R#L1288   } else { # mode = 'isolated' ...
+R/screen_limma_hyperparams.R#L1290       rep(config_column[[index]], num_le ...
+R/screen_limma_hyperparams.R#L1292       rep(config_column[index], num_leve ...
+R/screen_limma_hyperparams.R#L1294   } ...
+R/screen_limma_hyperparams.R#L1313   hits_cond <- list() ...
+R/screen_limma_hyperparams.R#L1315   for (item in condition) { ...
+R/screen_limma_hyperparams.R#L1321       filter(df[["adj.P.Val"]] < adj_p_v ...
+R/screen_limma_hyperparams.R#L1322       pull(!!sym("feature_nr")) |> ...
+R/screen_limma_hyperparams.R#L1323       as.character() ...
+R/screen_limma_hyperparams.R#L1324   } ...
+R/screen_limma_hyperparams.R#L1326   return(hits_cond) ...
+R/screen_limma_hyperparams.R#L1369   plot_list <- list() ...
+R/screen_limma_hyperparams.R#L1370   config_index <- ...
+R/screen_limma_hyperparams.R#L1373   smooth_timepoints <- seq(meta$Time[1], ...
+R/screen_limma_hyperparams.R#L1376   ) ...
+R/screen_limma_hyperparams.R#L1378   args <- list(x = smooth_timepoints, in ...
+R/screen_limma_hyperparams.R#L1379   args$df <- spline_test_configs$dof[[co ...
+R/screen_limma_hyperparams.R#L1381   if (spline_test_configs$spline_type[co ...
+R/screen_limma_hyperparams.R#L1384   } else { # natural cubic splines ...
+R/screen_limma_hyperparams.R#L1386   } ...
+R/screen_limma_hyperparams.R#L1388   # Generate all the individual plots ...
+R/screen_limma_hyperparams.R#L1389   for (index in indices) { ...
+R/screen_limma_hyperparams.R#L1392       as.numeric(top_table[top_table$fea ...
+R/screen_limma_hyperparams.R#L1396       as.numeric(top_table$intercept[top ...
+R/screen_limma_hyperparams.R#L1401       Time = meta$Time, ...
+R/screen_limma_hyperparams.R#L1402       Intensity = as.vector(t(data[index ...
+R/screen_limma_hyperparams.R#L1412       geom_point( ...
+R/screen_limma_hyperparams.R#L1414           x = !!rlang::sym("Time"), ...
+R/screen_limma_hyperparams.R#L1415           y = !!rlang::sym("Intensity") ...
+R/screen_limma_hyperparams.R#L1418       ) + ...
+R/screen_limma_hyperparams.R#L1419       geom_line( ...
+R/screen_limma_hyperparams.R#L1421           x = !!rlang::sym("Time"), ...
+R/screen_limma_hyperparams.R#L1422           y = !!rlang::sym("Fitted") ...
+R/screen_limma_hyperparams.R#L1425       ) + ...
+R/screen_limma_hyperparams.R#L1426       theme_minimal() + ...
+R/screen_limma_hyperparams.R#L1427       scale_x_continuous(limits = c(min( ...
+R/screen_limma_hyperparams.R#L1432       title <- paste("Feature:", index) ...
+R/screen_limma_hyperparams.R#L1436       title = title, ...
+R/screen_limma_hyperparams.R#L1437       x = paste0("Time ", time_unit_labe ...
+R/screen_limma_hyperparams.R#L1439       theme( ...
+R/screen_limma_hyperparams.R#L1443       ) + ...
+R/screen_limma_hyperparams.R#L1444       annotate("text", ...
+R/screen_limma_hyperparams.R#L1446           max(fitted_values, na.rm = TRU ...
+R/screen_limma_hyperparams.R#L1449       ) ...
+R/screen_limma_hyperparams.R#L1452   } ...
+R/screen_limma_hyperparams.R#L1454   if (length(plot_list) > 0) { ...
+R/screen_limma_hyperparams.R#L1461       patchwork::plot_annotation( ...
+R/screen_limma_hyperparams.R#L1463           sep = " | " ...
+R/screen_limma_hyperparams.R#L1466           hjust = 0.5, ...
+R/screen_limma_hyperparams.R#L1467           size = 14 ...
+R/screen_limma_hyperparams.R#L1469       ) ...
+R/screen_limma_hyperparams.R#L1472       composite_plot = composite_plot, ...
+R/screen_limma_hyperparams.R#L1473       composite_plot_len = composite_plo ...
+R/screen_limma_hyperparams.R#L1475   } else { ...
+R/screen_limma_hyperparams.R#L1477   } ...
+R/screen_limma_hyperparams.R#L1507   html_content <- paste(header_section,  ...
+R/screen_limma_hyperparams.R#L1509   toc <- create_toc() ...
+R/screen_limma_hyperparams.R#L1511   styles <- define_html_styles() ...
+R/screen_limma_hyperparams.R#L1512   section_header_style <- styles$section ...
+R/screen_limma_hyperparams.R#L1513   toc_style <- styles$toc_style ...
+R/screen_limma_hyperparams.R#L1515   headers <- c( ...
+R/screen_limma_hyperparams.R#L1520   ) ...
+R/screen_limma_hyperparams.R#L1522   # section_texts <- get_hyperparams_scr ...
+R/screen_limma_hyperparams.R#L1523   section_texts <- read_section_texts( ...
+R/screen_limma_hyperparams.R#L1525   ) ...
+R/screen_limma_hyperparams.R#L1527   nr_of_sections <- length(headers) ...
+R/screen_limma_hyperparams.R#L1529   for (index in seq_along(plots)) { ...
+R/screen_limma_hyperparams.R#L1531       section_header <- sprintf( ...
+R/screen_limma_hyperparams.R#L1536       ) ...
+R/screen_limma_hyperparams.R#L1538       section_text <- sprintf( ...
+R/screen_limma_hyperparams.R#L1541       ) ...
+R/screen_limma_hyperparams.R#L1543       html_content <- paste( ...
+R/screen_limma_hyperparams.R#L1548       ) ...
+R/screen_limma_hyperparams.R#L1550       toc_entry <- sprintf( ...
+R/screen_limma_hyperparams.R#L1553       ) ...
+R/screen_limma_hyperparams.R#L1554       toc <- paste(toc, toc_entry, sep = ...
+R/screen_limma_hyperparams.R#L1558       plots_element = plots[[index]], ...
+R/screen_limma_hyperparams.R#L1559       plots_size = plots_sizes[[index]], ...
+R/screen_limma_hyperparams.R#L1560       html_content = html_content, ...
+R/screen_limma_hyperparams.R#L1561       toc = toc, ...
+R/screen_limma_hyperparams.R#L1562       header_index = index ...
+R/screen_limma_hyperparams.R#L1566   } ...
+R/screen_limma_hyperparams.R#L1568   generate_and_write_html( ...
+R/screen_limma_hyperparams.R#L1573   ) ...
+R/splineomics_object.R#L69   splineomics <- list( ...
+R/splineomics_object.R#L83   ) ...
+R/splineomics_object.R#L85   class(splineomics) <- "SplineOmics" ...
+R/splineomics_object.R#L86   return(splineomics) ...
+R/splineomics_object.R#L105   if (!inherits(splineomics, "SplineOmic ...
+R/splineomics_object.R#L107   } ...
+R/splineomics_object.R#L109   allowed_fields <- c( ...
+R/splineomics_object.R#L123   ) ...
+R/splineomics_object.R#L125   args <- list(...) ...
+R/splineomics_object.R#L127   for (name in names(args)) { ...
+R/splineomics_object.R#L129       stop(paste("Field", name, "is not  ...
+R/splineomics_object.R#L132   } ...
+R/splineomics_object.R#L134   return(splineomics) ...
+R/splineomics_object.R#L163   cat("data:") ...
+R/splineomics_object.R#L164   cat("SplineOmics Object\n") ...
+R/splineomics_object.R#L165   cat("-------------------\n") ...
+R/splineomics_object.R#L167   # Print summary information ...
+R/splineomics_object.R#L168   cat("Number of features (rows):", nrow ...
+R/splineomics_object.R#L169   cat("Number of samples (columns):", nc ...
+R/splineomics_object.R#L171   cat("Meta data columns:", ncol(x$meta) ...
+R/splineomics_object.R#L172   cat("First few meta columns:\n") ...
+R/splineomics_object.R#L173   print(utils::head(x$meta, 3)) ...
+R/splineomics_object.R#L175   cat("Condition:", x$condition, "\n") ...
+R/splineomics_object.R#L177   if (!is.null(x$rna_seq_data)) { ...
+R/splineomics_object.R#L179   } else { ...
+R/splineomics_object.R#L181   } ...
+R/splineomics_object.R#L183   if (!is.null(x$annotation)) { ...
+R/splineomics_object.R#L185   } else { ...
+R/splineomics_object.R#L187   } ...
+R/splineomics_object.R#L189   if (!is.null(x$spline_params)) { ...
+R/splineomics_object.R#L192   } else { ...
+R/splineomics_object.R#L194   } ...
+R/splineomics_object.R#L196   cat("P-value adjustment method:", x$pa ...
+R/utils_general.R#L27   # Create and return the progress bar ...
+R/utils_general.R#L28   pb <- progress::progress_bar$new( ...
+R/utils_general.R#L33   ) ...
+R/utils_general.R#L35   return(pb) ...
+R/utils_general.R#L67   args <- list( ...
+R/utils_general.R#L70   ) # Time column is mandatory ...
+R/utils_general.R#L72   if (!is.null(spline_params$dof)) { ...
+R/utils_general.R#L74   } else { ...
+R/utils_general.R#L76   } ...
+R/utils_general.R#L78   if (!is.null(spline_params$bknots)) { ...
 R/utils_general.R#L80   } ...
-R/utils_general.R#L81    ...
-R/utils_general.R#L82   if (!is.null(spline_params$bknots)) { ...
-R/utils_general.R#L84   } ...
-R/utils_general.R#L86   if (spline_params$spline_type[level_in ...
-R/utils_general.R#L89   } else {                               ...
-R/utils_general.R#L91   } ...
-R/utils_general.R#L92    ...
-R/utils_general.R#L93   design_matrix <- stats::model.matrix( ...
-R/utils_general.R#L115    ...
-R/utils_general.R#L116   top_table$feature_nr <- as.numeric(as. ...
-R/utils_general.R#L117   annotation_rows <- annotation[top_tabl ...
-R/utils_general.R#L118   top_table <- cbind(top_table, annotati ...
-R/utils_general.R#L140    ...
-R/utils_general.R#L141   data_df <- as.data.frame(data) ...
-R/utils_general.R#L142    ...
-R/utils_general.R#L143   # Add row names as the first column na ...
-R/utils_general.R#L144   combined_df <- cbind( ...
-R/utils_general.R#L147   ) ...
-R/utils_general.R#L148    ...
-R/utils_general.R#L149   # If annotation is not NULL, check row ...
-R/utils_general.R#L150   if (!is.null(annotation)) { ...
-R/utils_general.R#L152       stop("The number of rows in data a ...
-R/utils_general.R#L153            call. = FALSE) ...
-R/utils_general.R#L158   } ...
-R/utils_general.R#L159    ...
-R/utils_general.R#L160   return(combined_df) ...
-R/utils_general.R#L178    ...
-R/utils_general.R#L179   # Green color code for "Info" ...
-R/utils_general.R#L180   green_info <- "\033[32mInfo\033[0m" ...
-R/utils_general.R#L181    ...
-R/utils_general.R#L182   full_message <- paste( ...
-R/utils_general.R#L187   ) ...
-R/utils_general.R#L188    ...
-R/utils_general.R#L189   cat(full_message) ...
-R/utils_general.R#L209   # Concatenate all arguments into a sin ...
-R/utils_general.R#L210   message_text <- paste(..., sep = " ") ...
-R/utils_general.R#L211    ...
-R/utils_general.R#L212   # Call stop with the concatenated mess ...
-R/utils_general.R#L213   stop(message_text, call. = FALSE) ...
-R/utils_input_validation.R#L13   inherit = Level2Functions, ...
-R/utils_input_validation.R#L14    ...
-R/utils_input_validation.R#L15   public = list( ...
-R/utils_input_validation.R#L24        ...
-R/utils_input_validation.R#L25       if (!is.null(args$splineomics) && ...
-R/utils_input_validation.R#L26           inherits(args$splineomics, "Sp ...
-R/utils_input_validation.R#L29       } ...
-R/utils_input_validation.R#L30        ...
-R/utils_input_validation.R#L31       self$args <- args ...
-R/utils_input_validation.R#L68       self$check_data_and_meta() ...
-R/utils_input_validation.R#L69       self$check_annotation() ...
-R/utils_input_validation.R#L70       self$check_datas_and_metas() ...
-R/utils_input_validation.R#L71       self$check_datas_descr() ...
-R/utils_input_validation.R#L72       self$check_top_tables() ...
-R/utils_input_validation.R#L73       self$check_design_formula() ...
-R/utils_input_validation.R#L74       self$check_mode() ...
-R/utils_input_validation.R#L75       self$check_modes() ...
-R/utils_input_validation.R#L76       self$check_designs_and_metas() ...
-R/utils_input_validation.R#L77       self$check_spline_params() ...
-R/utils_input_validation.R#L78       self$check_spline_test_configs() ...
-R/utils_input_validation.R#L79       self$check_adj_pthresholds() ...
-R/utils_input_validation.R#L80       self$check_adj_pthresh_limma_categ ...
-R/utils_input_validation.R#L81       self$check_clusters() ...
-R/utils_input_validation.R#L82       self$check_genes() ...
-R/utils_input_validation.R#L83       self$check_plot_info() ...
-R/utils_input_validation.R#L84       self$check_report_dir() ...
-R/utils_input_validation.R#L85       self$check_padjust_method() ...
-R/utils_input_validation.R#L86       self$check_report_info() ...
-R/utils_input_validation.R#L87       self$check_report() ...
-R/utils_input_validation.R#L88       self$check_feature_name_columns() ...
-R/utils_input_validation.R#L119        ...
-R/utils_input_validation.R#L120       data <- self$args[["data"]] ...
-R/utils_input_validation.R#L121       meta <- self$args[["meta"]] ...
-R/utils_input_validation.R#L122       condition <- self$args[["condition ...
-R/utils_input_validation.R#L123       meta_batch_column <- self$args[["m ...
-R/utils_input_validation.R#L124       meta_batch2_column <- self$args[[" ...
-R/utils_input_validation.R#L125       data_meta_index <- self$args[["dat ...
-R/utils_input_validation.R#L127       required_args <- list(data, meta,  ...
-R/utils_input_validation.R#L128        ...
-R/utils_input_validation.R#L129       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L131       } ...
-R/utils_input_validation.R#L132        ...
-R/utils_input_validation.R#L133       self$check_data( ...
-R/utils_input_validation.R#L137        ...
-R/utils_input_validation.R#L138       self$check_meta( ...
-R/utils_input_validation.R#L145        ...
-R/utils_input_validation.R#L146       if (!(nrow(meta) == ncol(data))) { ...
-R/utils_input_validation.R#L148           stop(paste0("For index ", data ...
-R/utils_input_validation.R#L149                       "data column numbe ...
-R/utils_input_validation.R#L150                       "meta row number") ...
-R/utils_input_validation.R#L151                call. = FALSE) ...
+R/utils_general.R#L82   if (spline_params$spline_type[level_in ...
+R/utils_general.R#L85   } else { # natural cubic splines ...
+R/utils_general.R#L87   } ...
+R/utils_general.R#L89   design_matrix <- stats::model.matrix( ...
+R/utils_general.R#L92   ) ...
+R/utils_general.R#L110   top_table$feature_nr <- as.numeric(as. ...
+R/utils_general.R#L111   annotation_rows <- annotation[top_tabl ...
+R/utils_general.R#L112   top_table <- cbind(top_table, annotati ...
+R/utils_general.R#L133   data_df <- as.data.frame(data) ...
+R/utils_general.R#L135   # Add row names as the first column na ...
+R/utils_general.R#L136   combined_df <- cbind( ...
+R/utils_general.R#L139   ) ...
+R/utils_general.R#L141   # If annotation is not NULL, check row ...
+R/utils_general.R#L142   if (!is.null(annotation)) { ...
+R/utils_general.R#L144       stop("The number of rows in data a ...
+R/utils_general.R#L146       ) ...
+R/utils_general.R#L151   } ...
+R/utils_general.R#L153   return(combined_df) ...
+R/utils_general.R#L172   # Green color code for "Info" ...
+R/utils_general.R#L173   green_info <- "\033[32mInfo\033[0m" ...
+R/utils_general.R#L175   full_message <- paste( ...
+R/utils_general.R#L180   ) ...
+R/utils_general.R#L182   message(full_message) ...
+R/utils_general.R#L202   # Concatenate all arguments into a sin ...
+R/utils_general.R#L203   message_text <- paste(..., sep = " ") ...
+R/utils_general.R#L205   # Call stop with the concatenated mess ...
+R/utils_general.R#L206   stop(message_text, call. = FALSE) ...
+R/utils_input_validation.R#L11   inherit = Level2Functions, ...
+R/utils_input_validation.R#L12   public = list( ...
+R/utils_input_validation.R#L21       if (!is.null(args$splineomics) && ...
+R/utils_input_validation.R#L25       } ...
+R/utils_input_validation.R#L27       self$args <- args ...
+R/utils_input_validation.R#L64       self$check_data_and_meta() ...
+R/utils_input_validation.R#L65       self$check_annotation() ...
+R/utils_input_validation.R#L66       self$check_datas_and_metas() ...
+R/utils_input_validation.R#L67       self$check_datas_descr() ...
+R/utils_input_validation.R#L68       self$check_top_tables() ...
+R/utils_input_validation.R#L69       self$check_design_formula() ...
+R/utils_input_validation.R#L70       self$check_mode() ...
+R/utils_input_validation.R#L71       self$check_modes() ...
+R/utils_input_validation.R#L72       self$check_designs_and_metas() ...
+R/utils_input_validation.R#L73       self$check_spline_params() ...
+R/utils_input_validation.R#L74       self$check_spline_test_configs() ...
+R/utils_input_validation.R#L75       self$check_adj_pthresholds() ...
+R/utils_input_validation.R#L76       self$check_adj_pthresh_limma_categ ...
+R/utils_input_validation.R#L77       self$check_clusters() ...
+R/utils_input_validation.R#L78       self$check_genes() ...
+R/utils_input_validation.R#L79       self$check_plot_info() ...
+R/utils_input_validation.R#L80       self$check_plot_options() ...
+R/utils_input_validation.R#L81       self$check_report_dir() ...
+R/utils_input_validation.R#L82       self$check_padjust_method() ...
+R/utils_input_validation.R#L83       self$check_report_info() ...
+R/utils_input_validation.R#L84       self$check_report() ...
+R/utils_input_validation.R#L85       self$check_feature_name_columns() ...
+R/utils_input_validation.R#L116       data <- self$args[["data"]] ...
+R/utils_input_validation.R#L117       meta <- self$args[["meta"]] ...
+R/utils_input_validation.R#L118       condition <- self$args[["condition ...
+R/utils_input_validation.R#L119       meta_batch_column <- self$args[["m ...
+R/utils_input_validation.R#L120       meta_batch2_column <- self$args[[" ...
+R/utils_input_validation.R#L121       data_meta_index <- self$args[["dat ...
+R/utils_input_validation.R#L123       required_args <- list(data, meta,  ...
+R/utils_input_validation.R#L125       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L127       } ...
+R/utils_input_validation.R#L129       self$check_data( ...
+R/utils_input_validation.R#L132       ) ...
+R/utils_input_validation.R#L134       self$check_meta( ...
+R/utils_input_validation.R#L140       ) ...
+R/utils_input_validation.R#L142       if (!(nrow(meta) == ncol(data))) { ...
+R/utils_input_validation.R#L144           stop( ...
+R/utils_input_validation.R#L146               "For index ", data_meta_in ...
+R/utils_input_validation.R#L147               "data column number must b ...
+R/utils_input_validation.R#L148               "meta row number" ...
+R/utils_input_validation.R#L151           ) ...
 R/utils_input_validation.R#L153           stop(paste0("data column numbe ...
-R/utils_input_validation.R#L154                call. = FALSE) ...
-R/utils_input_validation.R#L156       } ...
-R/utils_input_validation.R#L181        ...
+R/utils_input_validation.R#L155           ) ...
+R/utils_input_validation.R#L157       } ...
 R/utils_input_validation.R#L182       annotation <- self$args[["annotati ...
 R/utils_input_validation.R#L183       data <- self$args[["data"]] ...
 R/utils_input_validation.R#L185       required_args <- list(annotation,  ...
-R/utils_input_validation.R#L186        ...
-R/utils_input_validation.R#L187       if (any(sapply(required_args, is.n ...
+R/utils_input_validation.R#L187       if (any(vapply(required_args, is.n ...
 R/utils_input_validation.R#L189       } ...
-R/utils_input_validation.R#L190        ...
 R/utils_input_validation.R#L191       if (!is.data.frame(annotation)) { ...
 R/utils_input_validation.R#L193           "annotation is not a dataframe ...
 R/utils_input_validation.R#L194           call. = FALSE ...
 R/utils_input_validation.R#L196       } ...
-R/utils_input_validation.R#L197        ...
 R/utils_input_validation.R#L198       if (nrow(annotation) != nrow(data) ...
 R/utils_input_validation.R#L200           "annotation and data don't hav ...
 R/utils_input_validation.R#L201           call. = FALSE ...
-R/utils_input_validation.R#L202           ) ...
 R/utils_input_validation.R#L203       } ...
-R/utils_input_validation.R#L227        ...
-R/utils_input_validation.R#L228       datas <- self$args$datas ...
-R/utils_input_validation.R#L229       metas <- self$args$metas ...
-R/utils_input_validation.R#L230       condition <- self$args$condition ...
-R/utils_input_validation.R#L231       meta_batch_column <- self$args$met ...
-R/utils_input_validation.R#L232       meta_batch2_column <- self$args$me ...
-R/utils_input_validation.R#L233        ...
-R/utils_input_validation.R#L234       required_args <- list(datas, metas ...
-R/utils_input_validation.R#L235        ...
-R/utils_input_validation.R#L236       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L238       } ...
-R/utils_input_validation.R#L239        ...
-R/utils_input_validation.R#L240       if (length(datas) != length(metas) ...
-R/utils_input_validation.R#L242              call. = FALSE) ...
+R/utils_input_validation.R#L227       datas <- self$args$datas ...
+R/utils_input_validation.R#L228       metas <- self$args$metas ...
+R/utils_input_validation.R#L229       condition <- self$args$condition ...
+R/utils_input_validation.R#L230       meta_batch_column <- self$args$met ...
+R/utils_input_validation.R#L231       meta_batch2_column <- self$args$me ...
+R/utils_input_validation.R#L233       required_args <- list(datas, metas ...
+R/utils_input_validation.R#L235       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L237       } ...
+R/utils_input_validation.R#L239       if (length(datas) != length(metas) ...
+R/utils_input_validation.R#L241           call. = FALSE ...
 R/utils_input_validation.R#L243       } ...
-R/utils_input_validation.R#L244        ...
 R/utils_input_validation.R#L245       data_storage <- self$args$data ...
 R/utils_input_validation.R#L246       meta_storage <- self$args$meta ...
-R/utils_input_validation.R#L247        ...
 R/utils_input_validation.R#L248       for (i in seq_along(datas)) { ...
 R/utils_input_validation.R#L257       } ...
-R/utils_input_validation.R#L258        ...
 R/utils_input_validation.R#L259       self$args$data <- data_storage ...
 R/utils_input_validation.R#L260       self$args$meta <- meta_storage ...
-R/utils_input_validation.R#L261        ...
 R/utils_input_validation.R#L262       return(TRUE) ...
-R/utils_input_validation.R#L281        ...
-R/utils_input_validation.R#L282       datas_descr <- self$args$datas_des ...
-R/utils_input_validation.R#L283        ...
-R/utils_input_validation.R#L284       required_args <- list(datas_descr) ...
-R/utils_input_validation.R#L285        ...
-R/utils_input_validation.R#L286       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L288       } ...
-R/utils_input_validation.R#L289        ...
-R/utils_input_validation.R#L290       if (!is.character(datas_descr) ||  ...
-R/utils_input_validation.R#L294           "'datas_descr' must be a chara ...
-R/utils_input_validation.R#L295       characters. Offending element(s) a ...
-R/utils_input_validation.R#L296       the description.", ...
-R/utils_input_validation.R#L297           paste(long_elements_indices, c ...
-R/utils_input_validation.R#L298           paste(long_elements, collapse  ...
-R/utils_input_validation.R#L301       } ...
-R/utils_input_validation.R#L316        ...
-R/utils_input_validation.R#L317       top_tables <- self$args$top_tables ...
-R/utils_input_validation.R#L319       required_args <- list(top_tables) ...
-R/utils_input_validation.R#L320        ...
-R/utils_input_validation.R#L321       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L323       } ...
-R/utils_input_validation.R#L324        ...
-R/utils_input_validation.R#L325       # Helper function to check data fr ...
-R/utils_input_validation.R#L326       check_list_of_dataframes <- functi ...
-R/utils_input_validation.R#L329            ...
-R/utils_input_validation.R#L330           stop("Expected a list of dataf ...
-R/utils_input_validation.R#L331            ...
-R/utils_input_validation.R#L333            ...
-R/utils_input_validation.R#L334           if (length(df_list) != 2) { ...
-R/utils_input_validation.R#L336                        "to cluster the h ...
-R/utils_input_validation.R#L337                        "avrg_diff_condit ...
-R/utils_input_validation.R#L338                        "The list must co ...
-R/utils_input_validation.R#L339                        "the time_effect  ...
-R/utils_input_validation.R#L340                  call. = FALSE) ...
-R/utils_input_validation.R#L341           } ...
-R/utils_input_validation.R#L342            ...
-R/utils_input_validation.R#L343           underscore_count <- sapply(nam ...
-R/utils_input_validation.R#L344                                      fun ...
-R/utils_input_validation.R#L345           if (sum(underscore_count == 1) ...
-R/utils_input_validation.R#L346               sum(underscore_count == 4) ...
-R/utils_input_validation.R#L348                        "to cluster the h ...
-R/utils_input_validation.R#L349                        "avrg_diff_condit ...
-R/utils_input_validation.R#L350                        "The list must co ...
-R/utils_input_validation.R#L351                        "the time_effect  ...
-R/utils_input_validation.R#L352                  call. = FALSE) ...
+R/utils_input_validation.R#L281       datas_descr <- self$args$datas_des ...
+R/utils_input_validation.R#L283       required_args <- list(datas_descr) ...
+R/utils_input_validation.R#L285       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L287       } ...
+R/utils_input_validation.R#L289       if (!is.character(datas_descr) ||  ...
+R/utils_input_validation.R#L293           "'datas_descr' must be a chara ...
+R/utils_input_validation.R#L294       characters. Offending element(s) a ...
+R/utils_input_validation.R#L295       the description.", ...
+R/utils_input_validation.R#L296           paste(long_elements_indices, c ...
+R/utils_input_validation.R#L297           paste(long_elements, collapse  ...
+R/utils_input_validation.R#L300       } ...
+R/utils_input_validation.R#L315       top_tables <- self$args$top_tables ...
+R/utils_input_validation.R#L317       required_args <- list(top_tables) ...
+R/utils_input_validation.R#L319       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L321       } ...
+R/utils_input_validation.R#L323       # Helper function to check data fr ...
+R/utils_input_validation.R#L324       check_list_of_dataframes <- functi ...
+R/utils_input_validation.R#L326           !all(vapply(df_list, is.data.f ...
+R/utils_input_validation.R#L327           stop_call_false("Expected a li ...
+R/utils_input_validation.R#L329           if (length(df_list) != 2) { ...
+R/utils_input_validation.R#L331               "top_tables must be a list ...
+R/utils_input_validation.R#L332               "to cluster the hits of th ...
+R/utils_input_validation.R#L333               "avrg_diff_conditions or i ...
+R/utils_input_validation.R#L334               "The list must contain one ...
+R/utils_input_validation.R#L335               "the time_effect limma res ...
+R/utils_input_validation.R#L337           } ...
+R/utils_input_validation.R#L339           underscore_count <- vapply( ...
+R/utils_input_validation.R#L343           ) ...
+R/utils_input_validation.R#L344           if (sum(underscore_count == 1) ...
+R/utils_input_validation.R#L347               "top_tables must be a list ...
+R/utils_input_validation.R#L348               "to cluster the hits of th ...
+R/utils_input_validation.R#L349               "avrg_diff_conditions or i ...
+R/utils_input_validation.R#L350               "The list must contain one ...
+R/utils_input_validation.R#L351               "the time_effect limma res ...
 R/utils_input_validation.R#L353           } ...
-R/utils_input_validation.R#L354            ...
 R/utils_input_validation.R#L355           for (df in df_list) { ...
 R/utils_input_validation.R#L357           } ...
 R/utils_input_validation.R#L359       } ...
-R/utils_input_validation.R#L360        ...
 R/utils_input_validation.R#L361       # Check if top_tables is a list ...
 R/utils_input_validation.R#L362       if (!is.list(top_tables)) { ...
 R/utils_input_validation.R#L364       } ...
-R/utils_input_validation.R#L365        ...
 R/utils_input_validation.R#L366       for (i in seq_along(top_tables)) { ...
-R/utils_input_validation.R#L375            ...
-R/utils_input_validation.R#L376           check_list_of_dataframes(eleme ...
-R/utils_input_validation.R#L377            ...
-R/utils_input_validation.R#L380           matches <- gregexpr("_", eleme ...
-R/utils_input_validation.R#L381           underscore_count <- sum(sapply ...
-R/utils_input_validation.R#L382                               function(x ...
-R/utils_input_validation.R#L383            ...
-R/utils_input_validation.R#L384           if (underscore_count != 1) { ...
-R/utils_input_validation.R#L386                  "of limma but rather on ...
-R/utils_input_validation.R#L387                  "interaction_condition_ ...
-R/utils_input_validation.R#L388                  "(to cluster the hits o ...
-R/utils_input_validation.R#L389                  "at a time into a list  ...
-R/utils_input_validation.R#L390                  "note: Please do not ed ...
-R/utils_input_validation.R#L391                  call. = FALSE) ...
-R/utils_input_validation.R#L392           } ...
-R/utils_input_validation.R#L393            ...
-R/utils_input_validation.R#L394           self$check_dataframe(element) ...
-R/utils_input_validation.R#L395            ...
-R/utils_input_validation.R#L397           stop(paste("top_tables must co ...
-R/utils_input_validation.R#L398                      "data frames"), ...
-R/utils_input_validation.R#L399                call. = FALSE) ...
-R/utils_input_validation.R#L401       } ...
-R/utils_input_validation.R#L423        ...
-R/utils_input_validation.R#L424       formula <- self$args[["design"]] ...
-R/utils_input_validation.R#L425       meta <- self$args$meta ...
-R/utils_input_validation.R#L426       meta_index <- self$args$meta_index ...
-R/utils_input_validation.R#L427        ...
-R/utils_input_validation.R#L428       required_args <- list(formula, met ...
-R/utils_input_validation.R#L429        ...
-R/utils_input_validation.R#L430       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L432       } ...
-R/utils_input_validation.R#L434       # Check if the formula is a valid  ...
-R/utils_input_validation.R#L435       if (!is.character(formula) || leng ...
-R/utils_input_validation.R#L437              call. = FALSE) ...
-R/utils_input_validation.R#L438       } ...
-R/utils_input_validation.R#L439        ...
-R/utils_input_validation.R#L440       # Ensure the formula contains allo ...
-R/utils_input_validation.R#L441       allowed_chars <- "^[~ 1A-Za-z0-9_+ ...
-R/utils_input_validation.R#L442       if (!grepl(allowed_chars, formula) ...
-R/utils_input_validation.R#L444              call. = FALSE) ...
-R/utils_input_validation.R#L445       } ...
-R/utils_input_validation.R#L446        ...
-R/utils_input_validation.R#L447       # Ensure that the formula begins w ...
-R/utils_input_validation.R#L448       # Ignore whitespace, check the sta ...
-R/utils_input_validation.R#L449       if (!grepl("^\\s*~\\s*1", formula) ...
-R/utils_input_validation.R#L451           paste( ...
-R/utils_input_validation.R#L456              call. = FALSE) ...
-R/utils_input_validation.R#L457       } ...
-R/utils_input_validation.R#L458        ...
-R/utils_input_validation.R#L459       # Ensure the formula contains the  ...
-R/utils_input_validation.R#L460       if (!grepl("\\bX\\b", formula)) { ...
-R/utils_input_validation.R#L462           "The design formula must inclu ...
-R/utils_input_validation.R#L463           "for the meta Time column" ...
-R/utils_input_validation.R#L465       } ...
-R/utils_input_validation.R#L466        ...
-R/utils_input_validation.R#L467       # Extract terms from the formula ( ...
-R/utils_input_validation.R#L468       formula_terms <- unlist(strsplit(g ...
-R/utils_input_validation.R#L469       formula_terms <- formula_terms[for ...
-R/utils_input_validation.R#L470        ...
-R/utils_input_validation.R#L471       # Remove '1' and 'X' from terms si ...
-R/utils_input_validation.R#L472       formula_terms <- setdiff(formula_t ...
-R/utils_input_validation.R#L473        ...
-R/utils_input_validation.R#L474       # Check if the terms are present i ...
-R/utils_input_validation.R#L475       missing_columns <- setdiff(formula ...
-R/utils_input_validation.R#L476       if (length(missing_columns) > 0) { ...
-R/utils_input_validation.R#L478           stop(sprintf("%s (data/meta pa ...
-R/utils_input_validation.R#L479                        "The following de ...
-R/utils_input_validation.R#L480                        meta_index, ...
-R/utils_input_validation.R#L481                        paste(missing_col ...
-R/utils_input_validation.R#L482                call. = FALSE) ...
-R/utils_input_validation.R#L483            ...
-R/utils_input_validation.R#L485           stop(paste("The following desi ...
-R/utils_input_validation.R#L486                      paste(missing_colum ...
-R/utils_input_validation.R#L487                call. = FALSE) ...
-R/utils_input_validation.R#L489       } ...
-R/utils_input_validation.R#L490        ...
-R/utils_input_validation.R#L491       return(TRUE) ...
-R/utils_input_validation.R#L505        ...
-R/utils_input_validation.R#L506       modes <- self$args[["modes"]] ...
-R/utils_input_validation.R#L507        ...
-R/utils_input_validation.R#L508       required_args <- list(modes) ...
-R/utils_input_validation.R#L509        ...
-R/utils_input_validation.R#L510       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L512       } ...
-R/utils_input_validation.R#L513        ...
-R/utils_input_validation.R#L514       for (mode in modes) { ...
-R/utils_input_validation.R#L520       } ...
-R/utils_input_validation.R#L534        ...
-R/utils_input_validation.R#L535       mode <- self$args[["mode"]] ...
-R/utils_input_validation.R#L536        ...
-R/utils_input_validation.R#L537       required_args <- list(mode) ...
-R/utils_input_validation.R#L538        ...
-R/utils_input_validation.R#L539       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L541       } ...
-R/utils_input_validation.R#L543       if (mode != "isolated" && mode !=  ...
-R/utils_input_validation.R#L545           "mode must be either 'isolated ...
-R/utils_input_validation.R#L546           ) ...
-R/utils_input_validation.R#L547       } ...
-R/utils_input_validation.R#L565        ...
-R/utils_input_validation.R#L566       designs <- self$args$designs ...
-R/utils_input_validation.R#L567       metas <- self$args$metas ...
-R/utils_input_validation.R#L568       meta_indices <- self$args$meta_ind ...
-R/utils_input_validation.R#L569        ...
-R/utils_input_validation.R#L570       if (is.null(designs) || is.null(me ...
-R/utils_input_validation.R#L572       } ...
-R/utils_input_validation.R#L573        ...
-R/utils_input_validation.R#L574       for (i in seq_along(designs)) { ...
-R/utils_input_validation.R#L578           ifelse(!is.null(meta_indices), ...
-R/utils_input_validation.R#L580       } ...
-R/utils_input_validation.R#L581        ...
-R/utils_input_validation.R#L582       return(TRUE) ...
-R/utils_input_validation.R#L602        ...
-R/utils_input_validation.R#L603       spline_params <- self$args$spline_ ...
-R/utils_input_validation.R#L604       mode <- self$args[["mode"]] ...
-R/utils_input_validation.R#L605       meta <- self$args$meta ...
-R/utils_input_validation.R#L606       condition <- self$args$condition ...
-R/utils_input_validation.R#L607        ...
-R/utils_input_validation.R#L608       required_args <- list( ...
-R/utils_input_validation.R#L614        ...
-R/utils_input_validation.R#L615       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L617       } ...
-R/utils_input_validation.R#L618        ...
-R/utils_input_validation.R#L619       self$check_spline_params_generally ...
-R/utils_input_validation.R#L620       self$check_spline_params_mode_depe ...
-R/utils_input_validation.R#L646        ...
-R/utils_input_validation.R#L647       spline_test_configs <- self$args$s ...
-R/utils_input_validation.R#L648       metas <- self$args$metas ...
-R/utils_input_validation.R#L649        ...
-R/utils_input_validation.R#L650       required_args <- list(spline_test_ ...
-R/utils_input_validation.R#L651        ...
-R/utils_input_validation.R#L652       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L654       } ...
-R/utils_input_validation.R#L656       self$check_columns_spline_test_con ...
-R/utils_input_validation.R#L657        ...
-R/utils_input_validation.R#L658       self$check_spline_type_column(spli ...
-R/utils_input_validation.R#L659        ...
-R/utils_input_validation.R#L660       self$check_spline_type_params(spli ...
-R/utils_input_validation.R#L661        ...
-R/utils_input_validation.R#L662       self$check_max_and_min_dof( ...
-R/utils_input_validation.R#L683        ...
-R/utils_input_validation.R#L684       top_tables <- self$args$run_limma_ ...
-R/utils_input_validation.R#L685        ...
-R/utils_input_validation.R#L686       required_names <- c("time_effect", ...
-R/utils_input_validation.R#L687                           "avrg_diff_con ...
-R/utils_input_validation.R#L688                           "interaction_c ...
-R/utils_input_validation.R#L689        ...
-R/utils_input_validation.R#L690       if (!all(names(top_tables) %in% re ...
-R/utils_input_validation.R#L691           length(top_tables) != 3) { ...
-R/utils_input_validation.R#L693          'time_effect', 'avrg_diff_condi ...
-R/utils_input_validation.R#L694          'interaction_condition_time'",  ...
-R/utils_input_validation.R#L695       } ...
-R/utils_input_validation.R#L696        ...
-R/utils_input_validation.R#L697       expected_cols1_3 <- c("X1", "X2",  ...
-R/utils_input_validation.R#L699        ...
-R/utils_input_validation.R#L700       expected_cols2 <- c("logFC", "AveE ...
-R/utils_input_validation.R#L701                           "B", "feature_ ...
-R/utils_input_validation.R#L702        ...
-R/utils_input_validation.R#L703       for (df in top_tables$time_effect) ...
-R/utils_input_validation.R#L705       } ...
-R/utils_input_validation.R#L706        ...
-R/utils_input_validation.R#L707       for (df in top_tables$avrg_diff_co ...
-R/utils_input_validation.R#L709       } ...
-R/utils_input_validation.R#L710        ...
-R/utils_input_validation.R#L711       for (df in top_tables$interaction_ ...
-R/utils_input_validation.R#L713       } ...
-R/utils_input_validation.R#L735        ...
-R/utils_input_validation.R#L736       # Exploited argument slicing. ...
-R/utils_input_validation.R#L737       adj_pthresholds <- self$args[["adj ...
-R/utils_input_validation.R#L739       required_args <- list(adj_pthresho ...
-R/utils_input_validation.R#L740        ...
-R/utils_input_validation.R#L741       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L743       } ...
-R/utils_input_validation.R#L744        ...
-R/utils_input_validation.R#L745       if (!is.numeric(adj_pthresholds))  ...
-R/utils_input_validation.R#L747              call. = FALSE) ...
-R/utils_input_validation.R#L748       } ...
-R/utils_input_validation.R#L749        ...
-R/utils_input_validation.R#L750       # Check for elements <= 0 ...
-R/utils_input_validation.R#L751       if (any(adj_pthresholds <= 0)) { ...
-R/utils_input_validation.R#L759              call. = FALSE) ...
-R/utils_input_validation.R#L760       } ...
-R/utils_input_validation.R#L761        ...
-R/utils_input_validation.R#L762       # Check for elements >= 1 ...
-R/utils_input_validation.R#L763       if (any(adj_pthresholds >= 1)) { ...
-R/utils_input_validation.R#L771              call. = FALSE) ...
-R/utils_input_validation.R#L772       } ...
-R/utils_input_validation.R#L773        ...
-R/utils_input_validation.R#L774       return(TRUE) ...
-R/utils_input_validation.R#L790        ...
-R/utils_input_validation.R#L791       adj_pthresh_avrg_diff_conditions < ...
-R/utils_input_validation.R#L793        ...
-R/utils_input_validation.R#L794       adj_pthresh_interaction_condition_ ...
-R/utils_input_validation.R#L796        ...
-R/utils_input_validation.R#L797       required_args <- list( ...
-R/utils_input_validation.R#L801        ...
-R/utils_input_validation.R#L802       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L804       } ...
-R/utils_input_validation.R#L805        ...
-R/utils_input_validation.R#L806       # Check that both arguments are nu ...
-R/utils_input_validation.R#L807       if (!all(sapply(required_args, fun ...
-R/utils_input_validation.R#L809       }))) { ...
-R/utils_input_validation.R#L811           "Both adj_pthresh_avrg_diff_co ...
-R/utils_input_validation.R#L812           "adj_pthresh_interaction_condi ...
-R/utils_input_validation.R#L813           "be floats between 0 and 1." ...
-R/utils_input_validation.R#L814           ) ...
-R/utils_input_validation.R#L815       } ...
-R/utils_input_validation.R#L835        ...
-R/utils_input_validation.R#L836       clusters <- self$args$clusters ...
-R/utils_input_validation.R#L837        ...
-R/utils_input_validation.R#L838       required_args <- list(clusters) ...
-R/utils_input_validation.R#L839        ...
-R/utils_input_validation.R#L840       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L842       } ...
-R/utils_input_validation.R#L843        ...
-R/utils_input_validation.R#L844       # Check if clusters is a single in ...
-R/utils_input_validation.R#L845       if (is.numeric(clusters) && all(cl ...
-R/utils_input_validation.R#L849           stop("clusters must be a posit ...
-R/utils_input_validation.R#L854           stop( ...
-R/utils_input_validation.R#L859       } else { ...
-R/utils_input_validation.R#L861           "clusters must be a single int ...
-R/utils_input_validation.R#L862           call. = FALSE ...
-R/utils_input_validation.R#L863           ) ...
-R/utils_input_validation.R#L864       } ...
-R/utils_input_validation.R#L902        ...
-R/utils_input_validation.R#L903       plot_info <- self$args$plot_info ...
-R/utils_input_validation.R#L904       meta <- self$args$meta ...
-R/utils_input_validation.R#L905        ...
-R/utils_input_validation.R#L906       required_args <- list( ...
-R/utils_input_validation.R#L910        ...
-R/utils_input_validation.R#L911       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L913       } ...
-R/utils_input_validation.R#L914        ...
-R/utils_input_validation.R#L915       # Check y_axis_label ...
-R/utils_input_validation.R#L916       if (!is.character(plot_info$y_axis ...
-R/utils_input_validation.R#L917           nchar(plot_info$y_axis_label)  ...
-R/utils_input_validation.R#L919           "y_axis_label must be a string ...
-R/utils_input_validation.R#L920           call. = FALSE ...
-R/utils_input_validation.R#L921           ) ...
-R/utils_input_validation.R#L922       } ...
-R/utils_input_validation.R#L923        ...
-R/utils_input_validation.R#L924       # Check time_unit ...
-R/utils_input_validation.R#L925       if (!is.character(plot_info$time_u ...
-R/utils_input_validation.R#L926           nchar(plot_info$time_unit) > 1 ...
-R/utils_input_validation.R#L928           "time_unit must be a string wi ...
-R/utils_input_validation.R#L929           call. = FALSE ...
-R/utils_input_validation.R#L930           ) ...
-R/utils_input_validation.R#L931       } ...
-R/utils_input_validation.R#L932        ...
-R/utils_input_validation.R#L933       if (!is.na(plot_info$treatment_lab ...
-R/utils_input_validation.R#L936           if (!is.character(plot_info$tr ...
-R/utils_input_validation.R#L938               "treatment_labels must be  ...
-R/utils_input_validation.R#L939               call. = FALSE ...
-R/utils_input_validation.R#L941           } ...
-R/utils_input_validation.R#L942           if (any(nchar(plot_info$treatm ...
-R/utils_input_validation.R#L944               paste( ...
-R/utils_input_validation.R#L947               call. = FALSE ...
-R/utils_input_validation.R#L949           } ...
-R/utils_input_validation.R#L954           if (!is.numeric(plot_info$trea ...
-R/utils_input_validation.R#L956               "treatment_timepoints must ...
-R/utils_input_validation.R#L957               call. = FALSE ...
-R/utils_input_validation.R#L959           } ...
-R/utils_input_validation.R#L960           if (!any(is.na(plot_info$treat ...
-R/utils_input_validation.R#L961               length(plot_info$treatment ...
-R/utils_input_validation.R#L962               length(plot_info$treatment ...
-R/utils_input_validation.R#L964               paste( ...
-R/utils_input_validation.R#L967               call. = FALSE ...
-R/utils_input_validation.R#L969           } ...
-R/utils_input_validation.R#L976           stop( ...
-R/utils_input_validation.R#L978               "All treatment_timepoints  ...
-R/utils_input_validation.R#L979               max_time), ...
-R/utils_input_validation.R#L981           ) ...
-R/utils_input_validation.R#L983       } ...
-R/utils_input_validation.R#L1008        ...
-R/utils_input_validation.R#L1009       report_dir <- self$args[["report_d ...
-R/utils_input_validation.R#L1010        ...
-R/utils_input_validation.R#L1011       if (is.null(report_dir)) { ...
-R/utils_input_validation.R#L1014       } ...
-R/utils_input_validation.R#L1015        ...
-R/utils_input_validation.R#L1016       required_args <- list(report_dir) ...
-R/utils_input_validation.R#L1017        ...
-R/utils_input_validation.R#L1018       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L1020       } ...
-R/utils_input_validation.R#L1021        ...
-R/utils_input_validation.R#L1022       # Attempt to create the directory  ...
-R/utils_input_validation.R#L1023       if (!file.exists(report_dir)) { ...
-R/utils_input_validation.R#L1025           dir.create(report_dir, recursi ...
-R/utils_input_validation.R#L1027           stop(sprintf("Warning occurred ...
-R/utils_input_validation.R#L1028                        w$message), ...
-R/utils_input_validation.R#L1029                call. = FALSE) ...
-R/utils_input_validation.R#L1031           stop(sprintf("Error occurred w ...
-R/utils_input_validation.R#L1032                        e$message), ...
-R/utils_input_validation.R#L1033                call. = FALSE) ...
-R/utils_input_validation.R#L1035       } ...
-R/utils_input_validation.R#L1036        ...
-R/utils_input_validation.R#L1037       # Verify that the directory exists ...
-R/utils_input_validation.R#L1038       if (!file.exists(report_dir) || !f ...
-R/utils_input_validation.R#L1040                      report_dir), ...
-R/utils_input_validation.R#L1041              call. = FALSE) ...
-R/utils_input_validation.R#L1042       } ...
-R/utils_input_validation.R#L1043        ...
-R/utils_input_validation.R#L1044       return(TRUE) ...
-R/utils_input_validation.R#L1064       data <- self$args$data ...
-R/utils_input_validation.R#L1065       genes <- self$args$genes ...
-R/utils_input_validation.R#L1067       required_args <- list(data, genes) ...
-R/utils_input_validation.R#L1068        ...
-R/utils_input_validation.R#L1069       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L1071       } ...
-R/utils_input_validation.R#L1072        ...
-R/utils_input_validation.R#L1073       if (!is.character(genes)) { ...
-R/utils_input_validation.R#L1075       } ...
-R/utils_input_validation.R#L1076        ...
-R/utils_input_validation.R#L1077       if (length(genes) != nrow(data)) { ...
-R/utils_input_validation.R#L1079       } ...
-R/utils_input_validation.R#L1106        ...
-R/utils_input_validation.R#L1107       padjust_method <- self$args$padjus ...
-R/utils_input_validation.R#L1108        ...
-R/utils_input_validation.R#L1109       required_args <- list(padjust_meth ...
-R/utils_input_validation.R#L1110        ...
-R/utils_input_validation.R#L1111       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L1113       } ...
-R/utils_input_validation.R#L1114        ...
-R/utils_input_validation.R#L1115       supported_methods <- stats::p.adju ...
-R/utils_input_validation.R#L1116       if (!(is.character(padjust_method) ...
-R/utils_input_validation.R#L1119                            "supported me ...
-R/utils_input_validation.R#L1120                            paste(support ...
-R/utils_input_validation.R#L1121              call. = FALSE) ...
-R/utils_input_validation.R#L1122       } ...
-R/utils_input_validation.R#L1139        ...
-R/utils_input_validation.R#L1140       report_info <- self$args[["report_ ...
-R/utils_input_validation.R#L1141        ...
-R/utils_input_validation.R#L1142       required_args <- list(report_info) ...
-R/utils_input_validation.R#L1143        ...
-R/utils_input_validation.R#L1144       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L1146       } ...
-R/utils_input_validation.R#L1147        ...
-R/utils_input_validation.R#L1148       mandatory_fields <- c( ...
-R/utils_input_validation.R#L1156        ...
-R/utils_input_validation.R#L1157       all_fields <- c( ...
-R/utils_input_validation.R#L1163        ...
-R/utils_input_validation.R#L1164       # Check if report_info is a named  ...
-R/utils_input_validation.R#L1165       if (!is.list(report_info) || is.nu ...
-R/utils_input_validation.R#L1167              call. = FALSE) ...
-R/utils_input_validation.R#L1168       } ...
-R/utils_input_validation.R#L1169        ...
-R/utils_input_validation.R#L1170       # Check if all values in report_in ...
-R/utils_input_validation.R#L1171       non_string_fields <- sapply(report ...
-R/utils_input_validation.R#L1172       if (any(non_string_fields)) { ...
-R/utils_input_validation.R#L1175                    paste(invalid_fields, ...
-R/utils_input_validation.R#L1176              call. = FALSE) ...
-R/utils_input_validation.R#L1177       } ...
-R/utils_input_validation.R#L1178        ...
-R/utils_input_validation.R#L1179       # Check if all mandatory fields ar ...
-R/utils_input_validation.R#L1180       missing_fields <- setdiff(mandator ...
-R/utils_input_validation.R#L1181       if (length(missing_fields) > 0) { ...
-R/utils_input_validation.R#L1183                    paste(missing_fields, ...
-R/utils_input_validation.R#L1184              call. = FALSE) ...
-R/utils_input_validation.R#L1185       } ...
-R/utils_input_validation.R#L1186        ...
-R/utils_input_validation.R#L1187       # Check if there are any extra fie ...
-R/utils_input_validation.R#L1188       extra_fields <- setdiff(names(repo ...
-R/utils_input_validation.R#L1189       if (length(extra_fields) > 0) { ...
-R/utils_input_validation.R#L1191                    paste(extra_fields, c ...
-R/utils_input_validation.R#L1192              call. = FALSE) ...
-R/utils_input_validation.R#L1193       } ...
-R/utils_input_validation.R#L1194        ...
-R/utils_input_validation.R#L1195       # Check omics_data_type format ...
-R/utils_input_validation.R#L1196       if (!grepl("^[a-zA-Z_]+$", report_ ...
-R/utils_input_validation.R#L1198                    "letters and undersco ...
-R/utils_input_validation.R#L1199              call. = FALSE) ...
-R/utils_input_validation.R#L1200       } ...
-R/utils_input_validation.R#L1201        ...
-R/utils_input_validation.R#L1202       excluded_fields <- c( ...
-R/utils_input_validation.R#L1208       excluded_limit <- 700   ...
-R/utils_input_validation.R#L1209        ...
-R/utils_input_validation.R#L1210       check_long_fields <- function(data ...
-R/utils_input_validation.R#L1215           if (any(names(data) %in% exclu ...
-R/utils_input_validation.R#L1217           } else { ...
-R/utils_input_validation.R#L1219           } ...
+R/utils_input_validation.R#L374           check_list_of_dataframes(eleme ...
+R/utils_input_validation.R#L376           matches <- gregexpr("_", eleme ...
+R/utils_input_validation.R#L377           underscore_count <- sum(vapply ...
+R/utils_input_validation.R#L381           )) ...
+R/utils_input_validation.R#L383           if (underscore_count != 1) { ...
+R/utils_input_validation.R#L385               paste( ...
+R/utils_input_validation.R#L392               ), ...
+R/utils_input_validation.R#L393               call. = FALSE ...
+R/utils_input_validation.R#L395           } ...
+R/utils_input_validation.R#L397           self$check_dataframe(element) ...
+R/utils_input_validation.R#L399           stop( ...
+R/utils_input_validation.R#L401               "top_tables must contain e ...
+R/utils_input_validation.R#L402               "data frames" ...
+R/utils_input_validation.R#L405           ) ...
+R/utils_input_validation.R#L407       } ...
+R/utils_input_validation.R#L429       formula <- self$args[["design"]] ...
+R/utils_input_validation.R#L430       meta <- self$args[["meta"]] ...
+R/utils_input_validation.R#L431       meta_index <- self$args[["meta_ind ...
+R/utils_input_validation.R#L433       # Not strictly required ...
+R/utils_input_validation.R#L434       meta_batch_column <- self$args[["m ...
+R/utils_input_validation.R#L435       meta_batch2_column <- self$args[[" ...
+R/utils_input_validation.R#L437       required_args <- list( ...
+R/utils_input_validation.R#L440       ) ...
+R/utils_input_validation.R#L442       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L444       } ...
+R/utils_input_validation.R#L446       # Check if the formula is a valid  ...
+R/utils_input_validation.R#L447       if (!is.character(formula) || leng ...
+R/utils_input_validation.R#L449           call. = FALSE ...
+R/utils_input_validation.R#L451       } ...
+R/utils_input_validation.R#L453       # Ensure the formula contains allo ...
+R/utils_input_validation.R#L454       allowed_chars <- "^[~ 1A-Za-z0-9_+ ...
+R/utils_input_validation.R#L455       if (!grepl(allowed_chars, formula) ...
+R/utils_input_validation.R#L457           call. = FALSE ...
+R/utils_input_validation.R#L459       } ...
+R/utils_input_validation.R#L461       # Ensure that the formula begins w ...
+R/utils_input_validation.R#L462       # Ignore whitespace, check the sta ...
+R/utils_input_validation.R#L463       if (!grepl("^\\s*~\\s*1", formula) ...
+R/utils_input_validation.R#L465           paste( ...
+R/utils_input_validation.R#L469           ), ...
+R/utils_input_validation.R#L470           call. = FALSE ...
+R/utils_input_validation.R#L472       } ...
+R/utils_input_validation.R#L474       # Ensure the formula contains the  ...
+R/utils_input_validation.R#L475       if (!grepl("\\bX\\b", formula)) { ...
+R/utils_input_validation.R#L477           "The design formula must inclu ...
+R/utils_input_validation.R#L478           "for the meta Time column" ...
+R/utils_input_validation.R#L480       } ...
+R/utils_input_validation.R#L482       # Extract terms from the formula ( ...
+R/utils_input_validation.R#L483       formula_terms <- unlist(strsplit(g ...
+R/utils_input_validation.R#L484       formula_terms <- formula_terms[for ...
+R/utils_input_validation.R#L486       # Remove '1' and 'X' from terms si ...
+R/utils_input_validation.R#L487       formula_terms <- setdiff(formula_t ...
+R/utils_input_validation.R#L489       # Check if the terms are present i ...
+R/utils_input_validation.R#L490       missing_columns <- setdiff(formula ...
+R/utils_input_validation.R#L491       if (length(missing_columns) > 0) { ...
+R/utils_input_validation.R#L493           stop_call_false(sprintf( ...
+R/utils_input_validation.R#L498           )) ...
+R/utils_input_validation.R#L500           stop_call_false(paste( ...
+R/utils_input_validation.R#L503           )) ...
+R/utils_input_validation.R#L505       } ...
+R/utils_input_validation.R#L507       # Convert formula to string for re ...
+R/utils_input_validation.R#L508       formula_str <- as.character(formul ...
+R/utils_input_validation.R#L510       # Check if batch column is provide ...
+R/utils_input_validation.R#L511       if (!is.null(meta_batch_column)) { ...
+R/utils_input_validation.R#L513           stop_call_false( ...
+R/utils_input_validation.R#L515               "The batch effect column", ...
+R/utils_input_validation.R#L516               "is provided but not prese ...
+R/utils_input_validation.R#L517               "Please ensure that if you ...
+R/utils_input_validation.R#L518               "it is included in the des ...
+R/utils_input_validation.R#L519               "remove batch effects." ...
+R/utils_input_validation.R#L521           ) ...
+R/utils_input_validation.R#L523       } ...
+R/utils_input_validation.R#L525       # Check if the second batch column ...
+R/utils_input_validation.R#L526       if (!is.null(meta_batch2_column))  ...
+R/utils_input_validation.R#L528           stop_call_false( ...
+R/utils_input_validation.R#L530               "The second batch effect c ...
+R/utils_input_validation.R#L531               "is provided but not prese ...
+R/utils_input_validation.R#L532               "Please ensure that if you ...
+R/utils_input_validation.R#L533               "it is included in the des ...
+R/utils_input_validation.R#L534               "to remove batch effects." ...
+R/utils_input_validation.R#L536           ) ...
+R/utils_input_validation.R#L538       } ...
+R/utils_input_validation.R#L540       return(TRUE) ...
+R/utils_input_validation.R#L554       modes <- self$args[["modes"]] ...
+R/utils_input_validation.R#L556       required_args <- list(modes) ...
+R/utils_input_validation.R#L558       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L560       } ...
+R/utils_input_validation.R#L562       for (mode in modes) { ...
+R/utils_input_validation.R#L568       } ...
+R/utils_input_validation.R#L582       mode <- self$args[["mode"]] ...
+R/utils_input_validation.R#L584       required_args <- list(mode) ...
+R/utils_input_validation.R#L586       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L588       } ...
+R/utils_input_validation.R#L590       if (mode != "isolated" && mode !=  ...
+R/utils_input_validation.R#L592           "mode must be either 'isolated ...
+R/utils_input_validation.R#L594       } ...
+R/utils_input_validation.R#L612       designs <- self$args$designs ...
+R/utils_input_validation.R#L613       metas <- self$args$metas ...
+R/utils_input_validation.R#L614       meta_indices <- self$args$meta_ind ...
+R/utils_input_validation.R#L616       if (is.null(designs) || is.null(me ...
+R/utils_input_validation.R#L618       } ...
+R/utils_input_validation.R#L620       for (i in seq_along(designs)) { ...
+R/utils_input_validation.R#L624           ifelse(!is.null(meta_indices), ...
+R/utils_input_validation.R#L626       } ...
+R/utils_input_validation.R#L628       return(TRUE) ...
+R/utils_input_validation.R#L648       spline_params <- self$args$spline_ ...
+R/utils_input_validation.R#L649       mode <- self$args[["mode"]] ...
+R/utils_input_validation.R#L650       meta <- self$args$meta ...
+R/utils_input_validation.R#L651       condition <- self$args$condition ...
+R/utils_input_validation.R#L653       required_args <- list( ...
+R/utils_input_validation.R#L658       ) ...
+R/utils_input_validation.R#L660       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L662       } ...
+R/utils_input_validation.R#L664       self$check_spline_params_generally ...
+R/utils_input_validation.R#L665       self$check_spline_params_mode_depe ...
+R/utils_input_validation.R#L670       ) ...
+R/utils_input_validation.R#L691       spline_test_configs <- self$args$s ...
+R/utils_input_validation.R#L692       metas <- self$args$metas ...
+R/utils_input_validation.R#L694       required_args <- list(spline_test_ ...
+R/utils_input_validation.R#L696       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L698       } ...
+R/utils_input_validation.R#L700       self$check_columns_spline_test_con ...
+R/utils_input_validation.R#L702       self$check_spline_type_column(spli ...
+R/utils_input_validation.R#L704       self$check_spline_type_params(spli ...
+R/utils_input_validation.R#L706       self$check_max_and_min_dof( ...
+R/utils_input_validation.R#L709       ) ...
+R/utils_input_validation.R#L727       top_tables <- self$args$run_limma_ ...
+R/utils_input_validation.R#L729       required_names <- c( ...
+R/utils_input_validation.R#L733       ) ...
+R/utils_input_validation.R#L735       if (!all(names(top_tables) %in% re ...
+R/utils_input_validation.R#L738          'time_effect', 'avrg_diff_condi ...
+R/utils_input_validation.R#L739          'interaction_condition_time'",  ...
+R/utils_input_validation.R#L740       } ...
+R/utils_input_validation.R#L742       expected_cols1_3 <- c( ...
+R/utils_input_validation.R#L745       ) ...
+R/utils_input_validation.R#L747       expected_cols2 <- c( ...
+R/utils_input_validation.R#L750       ) ...
+R/utils_input_validation.R#L752       for (df in top_tables$time_effect) ...
+R/utils_input_validation.R#L754       } ...
+R/utils_input_validation.R#L756       for (df in top_tables$avrg_diff_co ...
+R/utils_input_validation.R#L758       } ...
+R/utils_input_validation.R#L760       for (df in top_tables$interaction_ ...
+R/utils_input_validation.R#L762       } ...
+R/utils_input_validation.R#L784       # Exploited argument slicing. ...
+R/utils_input_validation.R#L785       adj_pthresholds <- self$args[["adj ...
+R/utils_input_validation.R#L787       required_args <- list(adj_pthresho ...
+R/utils_input_validation.R#L789       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L791       } ...
+R/utils_input_validation.R#L793       if (!is.numeric(adj_pthresholds))  ...
+R/utils_input_validation.R#L795           call. = FALSE ...
+R/utils_input_validation.R#L797       } ...
+R/utils_input_validation.R#L799       # Check for elements <= 0 ...
+R/utils_input_validation.R#L800       if (any(adj_pthresholds <= 0)) { ...
+R/utils_input_validation.R#L803           paste0( ...
+R/utils_input_validation.R#L810           ), ...
+R/utils_input_validation.R#L811           call. = FALSE ...
+R/utils_input_validation.R#L813       } ...
+R/utils_input_validation.R#L815       # Check for elements >= 1 ...
+R/utils_input_validation.R#L816       if (any(adj_pthresholds >= 1)) { ...
+R/utils_input_validation.R#L819           paste0( ...
+R/utils_input_validation.R#L826           ), ...
+R/utils_input_validation.R#L827           call. = FALSE ...
+R/utils_input_validation.R#L829       } ...
+R/utils_input_validation.R#L831       return(TRUE) ...
+R/utils_input_validation.R#L847       adj_pthresh_avrg_diff_conditions < ...
+R/utils_input_validation.R#L850       adj_pthresh_interaction_condition_ ...
+R/utils_input_validation.R#L853       required_args <- list( ...
+R/utils_input_validation.R#L856       ) ...
+R/utils_input_validation.R#L858       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L860       } ...
+R/utils_input_validation.R#L862       # Check that both arguments are nu ...
+R/utils_input_validation.R#L863       if (!all(vapply(required_args, fun ...
+R/utils_input_validation.R#L865       }, logical(1)))) { ...
+R/utils_input_validation.R#L867           "Both adj_pthresh_avrg_diff_co ...
+R/utils_input_validation.R#L868           "adj_pthresh_interaction_condi ...
+R/utils_input_validation.R#L869           "be floats between 0 and 1." ...
+R/utils_input_validation.R#L871       } ...
+R/utils_input_validation.R#L891       clusters <- self$args[["clusters"] ...
+R/utils_input_validation.R#L892       meta <- self$args[["meta"]] ...
+R/utils_input_validation.R#L893       condition <- self$args[["condition ...
+R/utils_input_validation.R#L895       required_args <- list( ...
+R/utils_input_validation.R#L899       ) ...
+R/utils_input_validation.R#L901       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L903       } ...
+R/utils_input_validation.R#L905       # Get the unique number of element ...
+R/utils_input_validation.R#L906       unique_conditions <- unique(meta[[ ...
+R/utils_input_validation.R#L907       num_unique_conditions <- length(un ...
+R/utils_input_validation.R#L909       # Check if clusters is a single in ...
+R/utils_input_validation.R#L910       if (is.numeric(clusters) && all(cl ...
+R/utils_input_validation.R#L913           stop_call_false( ...
+R/utils_input_validation.R#L918           ) ...
+R/utils_input_validation.R#L923           stop_call_false("clusters must ...
+R/utils_input_validation.R#L928           stop_call_false("All elements  ...
+R/utils_input_validation.R#L930       } else { ...
+R/utils_input_validation.R#L932           "clusters must be a single int ...
+R/utils_input_validation.R#L934       } ...
+R/utils_input_validation.R#L972       plot_info <- self$args$plot_info ...
+R/utils_input_validation.R#L973       meta <- self$args$meta ...
+R/utils_input_validation.R#L974       condition_column <- self$args[["co ...
+R/utils_input_validation.R#L976       required_args <- list( ...
+R/utils_input_validation.R#L980       ) ...
+R/utils_input_validation.R#L982       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L984       } ...
+R/utils_input_validation.R#L986       # Check y_axis_label ...
+R/utils_input_validation.R#L987       if (!is.character(plot_info$y_axis ...
+R/utils_input_validation.R#L990           "y_axis_label must be a string ...
+R/utils_input_validation.R#L991           call. = FALSE ...
+R/utils_input_validation.R#L993       } ...
+R/utils_input_validation.R#L995       # Check time_unit ...
+R/utils_input_validation.R#L996       if (!is.character(plot_info$time_u ...
+R/utils_input_validation.R#L999           "time_unit must be a string wi ...
+R/utils_input_validation.R#L1000           call. = FALSE ...
+R/utils_input_validation.R#L1002       } ...
+R/utils_input_validation.R#L1004       # Ensure treatment_labels and trea ...
+R/utils_input_validation.R#L1005       if (!is.list(plot_info$treatment_l ...
+R/utils_input_validation.R#L1008           "treatment_labels and treatmen ...
+R/utils_input_validation.R#L1009           call. = FALSE ...
+R/utils_input_validation.R#L1011       } ...
+R/utils_input_validation.R#L1013       # Check if the lists are named or  ...
+R/utils_input_validation.R#L1014       label_names <- names(plot_info$tre ...
+R/utils_input_validation.R#L1015       timepoint_names <- names(plot_info ...
+R/utils_input_validation.R#L1017       if (!is.null(label_names) || !is.n ...
+R/utils_input_validation.R#L1020           stop( ...
+R/utils_input_validation.R#L1024           ) ...
+R/utils_input_validation.R#L1029           !all(timepoint_names %in% meta ...
+R/utils_input_validation.R#L1030           stop( ...
+R/utils_input_validation.R#L1034           ) ...
+R/utils_input_validation.R#L1039           stop( ...
+R/utils_input_validation.R#L1043           ) ...
+R/utils_input_validation.R#L1045       } else { ...
+R/utils_input_validation.R#L1048           length(plot_info$treatment_tim ...
+R/utils_input_validation.R#L1049           stop( ...
+R/utils_input_validation.R#L1053           ) ...
+R/utils_input_validation.R#L1055       } ...
+R/utils_input_validation.R#L1057       # Check elements of treatment_labe ...
+R/utils_input_validation.R#L1058       for (label in plot_info$treatment_ ...
+R/utils_input_validation.R#L1060           if (!is.character(label)) { ...
+R/utils_input_validation.R#L1062               "All elements of treatment ...
+R/utils_input_validation.R#L1063               strings", ...
+R/utils_input_validation.R#L1064               call. = FALSE ...
+R/utils_input_validation.R#L1066           } ...
+R/utils_input_validation.R#L1068       } ...
+R/utils_input_validation.R#L1070       # Check elements of treatment_time ...
+R/utils_input_validation.R#L1071       for (timepoint in plot_info$treatm ...
+R/utils_input_validation.R#L1073           if (!is.numeric(timepoint)) { ...
+R/utils_input_validation.R#L1075               "All elements of treatment ...
+R/utils_input_validation.R#L1076               call. = FALSE ...
+R/utils_input_validation.R#L1078           } ...
+R/utils_input_validation.R#L1080       } ...
+R/utils_input_validation.R#L1082       # Ensure that the lengths match if ...
+R/utils_input_validation.R#L1083       if (!any(is.na(plot_info$treatment ...
+R/utils_input_validation.R#L1087           stop( ...
+R/utils_input_validation.R#L1091           ) ...
+R/utils_input_validation.R#L1093       } ...
+R/utils_input_validation.R#L1095       # Ensure treatment_timepoints are  ...
+R/utils_input_validation.R#L1096       max_time <- max(meta$Time, na.rm = ...
+R/utils_input_validation.R#L1097       for (timepoint in plot_info$treatm ...
+R/utils_input_validation.R#L1099           stop( ...
+R/utils_input_validation.R#L1101               "All treatment_timepoints  ...
+R/utils_input_validation.R#L1102               max_time ...
+R/utils_input_validation.R#L1105           ) ...
+R/utils_input_validation.R#L1107       } ...
+R/utils_input_validation.R#L1122       plot_options <- self$args[["plot_o ...
+R/utils_input_validation.R#L1123       meta <- self$args[["meta"]] ...
+R/utils_input_validation.R#L1125       required_args <- list( ...
+R/utils_input_validation.R#L1128       ) ...
+R/utils_input_validation.R#L1130       # Check if any required arguments  ...
+R/utils_input_validation.R#L1131       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L1133       } ...
+R/utils_input_validation.R#L1135       # Ensure at least one of the requi ...
+R/utils_input_validation.R#L1136       if (!any(c("meta_replicate_column" ...
+R/utils_input_validation.R#L1138       } ...
+R/utils_input_validation.R#L1140       # Check if meta_replicate_column i ...
+R/utils_input_validation.R#L1141       if ("meta_replicate_column" %in% n ...
+R/utils_input_validation.R#L1143           length(plot_options[["meta_rep ...
+R/utils_input_validation.R#L1144           stop_call_false("'meta_replica ...
+R/utils_input_validation.R#L1148           stop_call_false( ...
+R/utils_input_validation.R#L1151           ) ...
+R/utils_input_validation.R#L1153       } ...
+R/utils_input_validation.R#L1155       # Check if cluster_heatmap_columns ...
+R/utils_input_validation.R#L1156       if ("cluster_heatmap_columns" %in% ...
+R/utils_input_validation.R#L1158           length(plot_options[["cluster_ ...
+R/utils_input_validation.R#L1159           stop_call_false("'cluster_heat ...
+R/utils_input_validation.R#L1161       } ...
+R/utils_input_validation.R#L1186       report_dir <- self$args[["report_d ...
+R/utils_input_validation.R#L1188       if (is.null(report_dir)) { ...
+R/utils_input_validation.R#L1191       } ...
+R/utils_input_validation.R#L1193       required_args <- list(report_dir) ...
+R/utils_input_validation.R#L1195       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L1197       } ...
+R/utils_input_validation.R#L1199       # Attempt to create the directory  ...
+R/utils_input_validation.R#L1200       if (!file.exists(report_dir)) { ...
+R/utils_input_validation.R#L1202           { ...
+R/utils_input_validation.R#L1204           }, ...
+R/utils_input_validation.R#L1205           warning = function(w) { ...
+R/utils_input_validation.R#L1207               sprintf( ...
+R/utils_input_validation.R#L1210               ) ...
+R/utils_input_validation.R#L1212           }, ...
+R/utils_input_validation.R#L1213           error = function(e) { ...
+R/utils_input_validation.R#L1215               sprintf( ...
+R/utils_input_validation.R#L1218               ) ...
+R/utils_input_validation.R#L1220           } ...
 R/utils_input_validation.R#L1222       } ...
-R/utils_input_validation.R#L1223        ...
-R/utils_input_validation.R#L1224       # Check if any field exceeds 70 ch ...
-R/utils_input_validation.R#L1225       long_fields <- check_long_fields( ...
-R/utils_input_validation.R#L1230        ...
-R/utils_input_validation.R#L1231       if (any(long_fields)) { ...
-R/utils_input_validation.R#L1234                    paste(too_long_fields ...
-R/utils_input_validation.R#L1235                    sep = "\n"), call. =  ...
-R/utils_input_validation.R#L1236       } ...
-R/utils_input_validation.R#L1237        ...
-R/utils_input_validation.R#L1238       return(TRUE) ...
-R/utils_input_validation.R#L1268       feature_name_columns <- self$args[ ...
-R/utils_input_validation.R#L1269       annotation <- self$args[["annotati ...
-R/utils_input_validation.R#L1271       required_args <- list( ...
-R/utils_input_validation.R#L1276       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L1278       } ...
-R/utils_input_validation.R#L1280       # Check if every element in featur ...
-R/utils_input_validation.R#L1281       # of length 1 ...
-R/utils_input_validation.R#L1282       if ( ...
-R/utils_input_validation.R#L1284           sapply( ...
-R/utils_input_validation.R#L1287           ) ...
-R/utils_input_validation.R#L1290           paste("All elements of feature ...
-R/utils_input_validation.R#L1292           call. = FALSE ...
-R/utils_input_validation.R#L1293           ) ...
-R/utils_input_validation.R#L1294       } ...
-R/utils_input_validation.R#L1296       # Check if all elements of feature ...
-R/utils_input_validation.R#L1297       # in annotation ...
-R/utils_input_validation.R#L1298       if (!all(feature_name_columns %in% ...
-R/utils_input_validation.R#L1300           paste( ...
-R/utils_input_validation.R#L1303           call. = FALSE ...
-R/utils_input_validation.R#L1304           ) ...
-R/utils_input_validation.R#L1305       } ...
-R/utils_input_validation.R#L1325       report <- self$args[["report"]] ...
-R/utils_input_validation.R#L1327       required_args <- list(report) ...
-R/utils_input_validation.R#L1329       if (any(sapply(required_args, is.n ...
-R/utils_input_validation.R#L1331       } ...
-R/utils_input_validation.R#L1333       if (!rlang::is_bool(report)) { ...
-R/utils_input_validation.R#L1335       } ...
-R/utils_input_validation.R#L1337   ) ...
-R/utils_input_validation.R#L1353  inherit = Level3Functions, ...
-R/utils_input_validation.R#L1355  public = list( ...
-R/utils_input_validation.R#L1357    #' Check Data Matrix ...
-R/utils_input_validation.R#L1358    #' ...
-R/utils_input_validation.R#L1359    #' @description ...
-R/utils_input_validation.R#L1360    #' This function checks the validity  ...
-R/utils_input_validation.R#L1361    #' is a ...
-R/utils_input_validation.R#L1362    #' matrix, contains only numeric valu ...
-R/utils_input_validation.R#L1363    #' has no missing values, and all ele ...
-R/utils_input_validation.R#L1364    #' verifies that no rows or columns a ...
-R/utils_input_validation.R#L1365    #' entirely zeros. ...
-R/utils_input_validation.R#L1366    #' ...
-R/utils_input_validation.R#L1367    #' @param data A dataframe containing ...
-R/utils_input_validation.R#L1368    #' @param data_meta_index An optional ...
-R/utils_input_validation.R#L1369    #'  data ...
-R/utils_input_validation.R#L1370    #' for error messages. Default is NA. ...
-R/utils_input_validation.R#L1371    #' ...
-R/utils_input_validation.R#L1372    #' @return Returns TRUE if all checks ...
-R/utils_input_validation.R#L1373    #' error ...
-R/utils_input_validation.R#L1374    #' message if any check fails. ...
-R/utils_input_validation.R#L1375    #' ...
-R/utils_input_validation.R#L1376    check_data = function( ...
-R/utils_input_validation.R#L1381      if (!is.matrix(data) || !is.numeric ...
-R/utils_input_validation.R#L1382        stop( ...
-R/utils_input_validation.R#L1383          self$create_error_message( ...
-R/utils_input_validation.R#L1384            "data must be a numeric matri ...
-R/utils_input_validation.R#L1385            data_meta_index ...
-R/utils_input_validation.R#L1386            ), ...
-R/utils_input_validation.R#L1387          call. = FALSE ...
-R/utils_input_validation.R#L1388          ) ...
-R/utils_input_validation.R#L1389      } ...
-R/utils_input_validation.R#L1391      # Check for missing values ...
-R/utils_input_validation.R#L1392      if (any(is.na(data))) { ...
-R/utils_input_validation.R#L1393        stop(self$create_error_message( ...
-R/utils_input_validation.R#L1394          "data must not contain missing  ...
-R/utils_input_validation.R#L1395          data_meta_index ...
-R/utils_input_validation.R#L1396          ), ...
-R/utils_input_validation.R#L1398      } ...
-R/utils_input_validation.R#L1400      # Check for non-negative values ...
-R/utils_input_validation.R#L1401      if (any(data < 0)) { ...
-R/utils_input_validation.R#L1402        stop( ...
-R/utils_input_validation.R#L1403          self$create_error_message( ...
-R/utils_input_validation.R#L1404            paste( ...
-R/utils_input_validation.R#L1405              "All elements of data must  ...
-R/utils_input_validation.R#L1406              "represent concentrations,  ...
-R/utils_input_validation.R#L1407              "intensities (which are inh ...
-R/utils_input_validation.R#L1408              ), ...
-R/utils_input_validation.R#L1411      } ...
-R/utils_input_validation.R#L1413      # Check for rows with all zeros ...
-R/utils_input_validation.R#L1414      if (any(rowSums(data) == 0)) { ...
-R/utils_input_validation.R#L1415        stop( ...
-R/utils_input_validation.R#L1416          self$create_error_message( ...
-R/utils_input_validation.R#L1417            "data must not contain rows w ...
-R/utils_input_validation.R#L1418            data_meta_index), ...
-R/utils_input_validation.R#L1420      } ...
-R/utils_input_validation.R#L1422      # Check for columns with all zeros ...
-R/utils_input_validation.R#L1423      if (any(colSums(data) == 0)) { ...
-R/utils_input_validation.R#L1424        stop(self$create_error_message(pa ...
-R/utils_input_validation.R#L1425          "data must not contain columns  ...
-R/utils_input_validation.R#L1426                                       da ...
-R/utils_input_validation.R#L1428      } ...
-R/utils_input_validation.R#L1430      # Check if row headers (rownames) a ...
-R/utils_input_validation.R#L1431      row_headers <- rownames(data) ...
-R/utils_input_validation.R#L1432      if (is.null(row_headers)) { ...
-R/utils_input_validation.R#L1433        stop(self$create_error_message( ...
-R/utils_input_validation.R#L1434          "The data matrix must have row  ...
-R/utils_input_validation.R#L1435          data_meta_index), ...
-R/utils_input_validation.R#L1436          call. = FALSE) ...
-R/utils_input_validation.R#L1437      } ...
-R/utils_input_validation.R#L1439      return(TRUE) ...
-R/utils_input_validation.R#L1440    }, ...
-R/utils_input_validation.R#L1443    #' Check Metadata ...
-R/utils_input_validation.R#L1444    #' ...
-R/utils_input_validation.R#L1445    #' @description ...
-R/utils_input_validation.R#L1446    #' This function checks the validity  ...
-R/utils_input_validation.R#L1447    #' contains the 'Time' column, ...
-R/utils_input_validation.R#L1448    #' does not contain missing values, a ...
-R/utils_input_validation.R#L1449    #'  is ...
-R/utils_input_validation.R#L1450    #' valid and of the appropriate type. ...
-R/utils_input_validation.R#L1451    #' Additionally, it checks for an opt ...
-R/utils_input_validation.R#L1452    #' messages regarding its use. ...
-R/utils_input_validation.R#L1453    #' ...
-R/utils_input_validation.R#L1454    #' @param meta A dataframe containing ...
-R/utils_input_validation.R#L1455    #' column. ...
-R/utils_input_validation.R#L1456    #' @param condition A single characte ...
-R/utils_input_validation.R#L1457    #' in the ...
-R/utils_input_validation.R#L1458    #' meta dataframe to be checked. ...
-R/utils_input_validation.R#L1459    #' @param meta_batch_column An option ...
-R/utils_input_validation.R#L1460    #' name in ...
-R/utils_input_validation.R#L1461    #'  the meta dataframe used to remove ...
-R/utils_input_validation.R#L1462    #' @param meta_batch2_column An optio ...
-R/utils_input_validation.R#L1463    #'  name in ...
-R/utils_input_validation.R#L1464    #'  the meta dataframe used to remove ...
-R/utils_input_validation.R#L1465    #' @param data_meta_index An optional ...
-R/utils_input_validation.R#L1466    #' data/meta pair for error messages. ...
-R/utils_input_validation.R#L1467    #' ...
-R/utils_input_validation.R#L1468    #' @return Returns TRUE if all checks ...
-R/utils_input_validation.R#L1469    #' error message if any check fails. ...
-R/utils_input_validation.R#L1470    #' ...
-R/utils_input_validation.R#L1471    check_meta = function( ...
-R/utils_input_validation.R#L1479      if (!is.data.frame(meta) || ...
-R/utils_input_validation.R#L1480          !"Time" %in% names(meta) || ...
-R/utils_input_validation.R#L1481          !is.numeric(meta[["Time"]])) { ...
-R/utils_input_validation.R#L1482        stop(self$create_error_message( ...
-R/utils_input_validation.R#L1483          paste("meta must be a dataframe ...
-R/utils_input_validation.R#L1484          data_meta_index ...
-R/utils_input_validation.R#L1485          ),  ...
-R/utils_input_validation.R#L1486          call. = FALSE) ...
-R/utils_input_validation.R#L1487      } ...
-R/utils_input_validation.R#L1489      if (any(is.na(meta))) { ...
-R/utils_input_validation.R#L1490        stop(self$create_error_message( ...
-R/utils_input_validation.R#L1491          "meta must not contain missing  ...
-R/utils_input_validation.R#L1492          data_meta_index ...
-R/utils_input_validation.R#L1493          ), ...
-R/utils_input_validation.R#L1494          call. = FALSE) ...
-R/utils_input_validation.R#L1495      } ...
-R/utils_input_validation.R#L1497      # Check if condition is a single ch ...
-R/utils_input_validation.R#L1498      if (!is.character(condition) || len ...
-R/utils_input_validation.R#L1499        stop("'condition' must be a singl ...
-R/utils_input_validation.R#L1501      } ...
-R/utils_input_validation.R#L1503      # Check if condition is a column in ...
-R/utils_input_validation.R#L1504      if (!condition %in% colnames(meta)) ...
-R/utils_input_validation.R#L1505        stop(self$create_error_message( ...
-R/utils_input_validation.R#L1506          sprintf( ...
-R/utils_input_validation.R#L1507            "The condition '%s' is not a  ...
-R/utils_input_validation.R#L1508            condition, ...
-R/utils_input_validation.R#L1509            paste("column in meta") ...
-R/utils_input_validation.R#L1510            ), ...
-R/utils_input_validation.R#L1511          data_meta_index), call. = FALSE ...
-R/utils_input_validation.R#L1512      } ...
-R/utils_input_validation.R#L1514      # Check if the factor column is of  ...
-R/utils_input_validation.R#L1515      if (!is.factor(meta[[condition]]) & ...
-R/utils_input_validation.R#L1516          !is.character(meta[[condition]] ...
-R/utils_input_validation.R#L1517        stop(self$create_error_message( ...
-R/utils_input_validation.R#L1518        sprintf("The factor column '%s' m ...
-R/utils_input_validation.R#L1519                  factor or character.",  ...
-R/utils_input_validation.R#L1520                                       da ...
-R/utils_input_validation.R#L1522      } ...
-R/utils_input_validation.R#L1524      # Check condition and time pattern  ...
-R/utils_input_validation.R#L1525      self$check_condition_time_consisten ...
-R/utils_input_validation.R#L1527      if (!is.character(meta_batch2_colum ...
-R/utils_input_validation.R#L1528        meta_batch2_column <- NULL ...
-R/utils_input_validation.R#L1529      } ...
-R/utils_input_validation.R#L1531      if (is.null(meta_batch_column) && ! ...
-R/utils_input_validation.R#L1532        stop(paste("For removing the batc ...
-R/utils_input_validation.R#L1533                   "batch is used!"), cal ...
-R/utils_input_validation.R#L1534      } ...
-R/utils_input_validation.R#L1536      if (!is.null(meta_batch_column)) { ...
-R/utils_input_validation.R#L1537        if (is.character(meta_batch_colum ...
-R/utils_input_validation.R#L1539          if (meta_batch_column == "Time" ...
-R/utils_input_validation.R#L1540            stop(paste("meta_batch_column ...
-R/utils_input_validation.R#L1542          } ...
-R/utils_input_validation.R#L1544          self$check_batch_column( ...
-R/utils_input_validation.R#L1545            meta, ...
-R/utils_input_validation.R#L1546            meta_batch_column, ...
-R/utils_input_validation.R#L1547            data_meta_index ...
-R/utils_input_validation.R#L1548            ) ...
-R/utils_input_validation.R#L1549        } else { ...
-R/utils_input_validation.R#L1550          stop( ...
-R/utils_input_validation.R#L1551            "meta_batch_column must be a  ...
-R/utils_input_validation.R#L1552            call. = FALSE ...
-R/utils_input_validation.R#L1553            ) ...
-R/utils_input_validation.R#L1554        } ...
-R/utils_input_validation.R#L1555      } ...
-R/utils_input_validation.R#L1557      if (!is.null(meta_batch2_column)) { ...
-R/utils_input_validation.R#L1558        if (is.character(meta_batch2_colu ...
-R/utils_input_validation.R#L1560        if (meta_batch2_column == "Time"  ...
-R/utils_input_validation.R#L1561          stop(paste("meta_batch2_column  ...
-R/utils_input_validation.R#L1562               call. = FALSE) ...
-R/utils_input_validation.R#L1563        } ...
-R/utils_input_validation.R#L1565        if (meta_batch_column == meta_bat ...
-R/utils_input_validation.R#L1566          stop(paste("meta_batch_column m ...
-R/utils_input_validation.R#L1568               call. = FALSE) ...
-R/utils_input_validation.R#L1569        } ...
-R/utils_input_validation.R#L1571        self$check_batch_column(meta, ...
-R/utils_input_validation.R#L1572                                meta_batc ...
-R/utils_input_validation.R#L1573                                data_meta ...
-R/utils_input_validation.R#L1574        } else { ...
-R/utils_input_validation.R#L1575          stop( ...
-R/utils_input_validation.R#L1576            "meta_batch2_column must be a ...
-R/utils_input_validation.R#L1577            call. = FALSE ...
-R/utils_input_validation.R#L1578          ) ...
-R/utils_input_validation.R#L1579        } ...
-R/utils_input_validation.R#L1580      } ...
-R/utils_input_validation.R#L1582      return(TRUE) ...
-R/utils_input_validation.R#L1583    }, ...
-R/utils_input_validation.R#L1586    #' Check Dataframe ...
-R/utils_input_validation.R#L1587    #' ...
-R/utils_input_validation.R#L1588    #' @description ...
-R/utils_input_validation.R#L1589    #' Validates that the dataframe conta ...
-R/utils_input_validation.R#L1590    #' correct data types. ...
-R/utils_input_validation.R#L1591    #' ...
-R/utils_input_validation.R#L1592    #' @param df A dataframe to check. ...
-R/utils_input_validation.R#L1593    #' ...
-R/utils_input_validation.R#L1594    #' @return TRUE if the dataframe is v ...
-R/utils_input_validation.R#L1595    #' ...
-R/utils_input_validation.R#L1596    check_dataframe = function(df) { ...
-R/utils_input_validation.R#L1598      # Define the required columns and t ...
-R/utils_input_validation.R#L1599      required_columns <- list( ...
-R/utils_input_validation.R#L1600        AveExpr = "numeric", ...
-R/utils_input_validation.R#L1601        P.Value = "numeric", ...
-R/utils_input_validation.R#L1602        adj.P.Val = "numeric", ...
-R/utils_input_validation.R#L1603        feature_nr = "integer", ...
-R/utils_input_validation.R#L1604        feature_names = "character", ...
-R/utils_input_validation.R#L1605        intercept = "numeric" ...
-R/utils_input_validation.R#L1606      ) ...
-R/utils_input_validation.R#L1608      # Check if all required columns are ...
-R/utils_input_validation.R#L1609      missing_columns <- setdiff(names(re ...
-R/utils_input_validation.R#L1610      if (length(missing_columns) > 0) { ...
-R/utils_input_validation.R#L1611        stop(paste("Missing columns in to ...
-R/utils_input_validation.R#L1612                   paste(missing_columns, ...
-R/utils_input_validation.R#L1614      } ...
-R/utils_input_validation.R#L1616      # Check if columns have the correct ...
-R/utils_input_validation.R#L1617      for (col in names(required_columns) ...
-R/utils_input_validation.R#L1618        if (!inherits(df[[col]], required ...
-R/utils_input_validation.R#L1619          stop(paste("top_table column",  ...
-R/utils_input_validation.R#L1621               call. = FALSE) ...
-R/utils_input_validation.R#L1622        } ...
-R/utils_input_validation.R#L1623      } ...
-R/utils_input_validation.R#L1625      return(TRUE) ...
-R/utils_input_validation.R#L1626    }, ...
-R/utils_input_validation.R#L1629    #' Check Spline Parameters Generally ...
-R/utils_input_validation.R#L1630    #' ...
-R/utils_input_validation.R#L1631    #' @description ...
-R/utils_input_validation.R#L1632    #' Validates the general structure an ...
-R/utils_input_validation.R#L1633    #' ...
-R/utils_input_validation.R#L1634    #' @param spline_params A list of spl ...
-R/utils_input_validation.R#L1635    #' ...
-R/utils_input_validation.R#L1636    #' @return No return value, called fo ...
-R/utils_input_validation.R#L1637    #' ...
-R/utils_input_validation.R#L1638    check_spline_params_generally = funct ...
-R/utils_input_validation.R#L1640      allowed_fields <- c("spline_type",  ...
-R/utils_input_validation.R#L1642      if (!all(names(spline_params) %in%  ...
-R/utils_input_validation.R#L1643        stop( ...
-R/utils_input_validation.R#L1644          paste( ...
-R/utils_input_validation.R#L1645            "spline_params contains inval ...
-R/utils_input_validation.R#L1646            "'degree', and 'dof' are allo ...
-R/utils_input_validation.R#L1647          ), call. = FALSE ...
-R/utils_input_validation.R#L1648        ) ...
-R/utils_input_validation.R#L1649      } ...
-R/utils_input_validation.R#L1651      # Check if spline_type exists and c ...
-R/utils_input_validation.R#L1652      if ("spline_type" %in% names(spline ...
-R/utils_input_validation.R#L1653        if (!all(spline_params$spline_typ ...
-R/utils_input_validation.R#L1654          stop( ...
-R/utils_input_validation.R#L1655            paste( ...
-R/utils_input_validation.R#L1658            call. = FALSE ...
-R/utils_input_validation.R#L1659          ) ...
-R/utils_input_validation.R#L1660        } ...
-R/utils_input_validation.R#L1661      } else { ...
-R/utils_input_validation.R#L1662        stop("spline_type is missing in s ...
-R/utils_input_validation.R#L1663      } ...
-R/utils_input_validation.R#L1665      # Check if degree exists and is an  ...
-R/utils_input_validation.R#L1666      # and NA for natural splines ...
-R/utils_input_validation.R#L1667      if ("degree" %in% names(spline_para ...
-R/utils_input_validation.R#L1668        for (i in seq_along(spline_params ...
-R/utils_input_validation.R#L1669          if (spline_params$spline_type[i ...
-R/utils_input_validation.R#L1670              (!is.integer(spline_params$ ...
-R/utils_input_validation.R#L1671               || is.na(spline_params$deg ...
-R/utils_input_validation.R#L1672            stop( ...
-R/utils_input_validation.R#L1673              paste( ...
-R/utils_input_validation.R#L1674                "Degree must be specified ...
-R/utils_input_validation.R#L1675                "B-splines in spline_para ...
-R/utils_input_validation.R#L1676                ), ...
-R/utils_input_validation.R#L1677              call. = FALSE) ...
-R/utils_input_validation.R#L1678          } ...
-R/utils_input_validation.R#L1679          if (spline_params$spline_type[i ...
-R/utils_input_validation.R#L1680              && !is.na(spline_params$deg ...
-R/utils_input_validation.R#L1681            stop( ...
-R/utils_input_validation.R#L1682              paste( ...
-R/utils_input_validation.R#L1683                "Degree must be NA for na ...
-R/utils_input_validation.R#L1684                "splines in spline_params ...
-R/utils_input_validation.R#L1685                ), ...
-R/utils_input_validation.R#L1686              call. = FALSE) ...
-R/utils_input_validation.R#L1687          } ...
-R/utils_input_validation.R#L1688        } ...
-R/utils_input_validation.R#L1689      } else if (all(spline_params$spline ...
-R/utils_input_validation.R#L1690        stop("degree is missing in spline ...
-R/utils_input_validation.R#L1691      } ...
-R/utils_input_validation.R#L1693      # Check if dof exists and is an int ...
-R/utils_input_validation.R#L1694      if ("dof" %in% names(spline_params) ...
-R/utils_input_validation.R#L1695        if (!all(spline_params$dof == as. ...
-R/utils_input_validation.R#L1696          stop("dof must be an integer ve ...
-R/utils_input_validation.R#L1697        } ...
-R/utils_input_validation.R#L1698        # Check for B-splines that dof is ...
-R/utils_input_validation.R#L1699        for (i in seq_along(spline_params ...
-R/utils_input_validation.R#L1700          if (spline_params$spline_type[i ...
-R/utils_input_validation.R#L1701              && spline_params$dof[i] < 3 ...
-R/utils_input_validation.R#L1702            stop( ...
-R/utils_input_validation.R#L1703              paste("B-splines require Do ...
-R/utils_input_validation.R#L1704              call. = FALSE ...
-R/utils_input_validation.R#L1705              ) ...
-R/utils_input_validation.R#L1706          } ...
-R/utils_input_validation.R#L1707        } ...
-R/utils_input_validation.R#L1708      } else { ...
-R/utils_input_validation.R#L1709        stop("dof is missing in spline_pa ...
-R/utils_input_validation.R#L1710      } ...
-R/utils_input_validation.R#L1711    }, ...
-R/utils_input_validation.R#L1714    #' Check Spline Parameters Mode Depen ...
-R/utils_input_validation.R#L1715    #' ...
-R/utils_input_validation.R#L1716    #' @description ...
-R/utils_input_validation.R#L1717    #' Validates the spline parameters de ...
-R/utils_input_validation.R#L1718    #' ...
-R/utils_input_validation.R#L1719    #' @param spline_params A list of spl ...
-R/utils_input_validation.R#L1720    #' @param mode A character string spe ...
-R/utils_input_validation.R#L1721    #'            ('integrated' or 'isola ...
-R/utils_input_validation.R#L1722    #' @param meta A dataframe containing ...
-R/utils_input_validation.R#L1723    #' @param condition A character strin ...
-R/utils_input_validation.R#L1724    #' ...
-R/utils_input_validation.R#L1725    #' @return No return value, called fo ...
-R/utils_input_validation.R#L1726    #' ...
-R/utils_input_validation.R#L1727    check_spline_params_mode_dependent =  ...
-R/utils_input_validation.R#L1733      if (mode == "integrated") { ...
-R/utils_input_validation.R#L1734        # Check that all parameters in sp ...
-R/utils_input_validation.R#L1735        # one "logical" element ...
-R/utils_input_validation.R#L1736        if (any(sapply(spline_params, fun ...
-R/utils_input_validation.R#L1737          # Atomic vectors (like numeric  ...
-R/utils_input_validation.R#L1738          # should count as 1 element ...
-R/utils_input_validation.R#L1739          !is.atomic(x) && length(x) != 1 ...
-R/utils_input_validation.R#L1740        }))) { ...
-R/utils_input_validation.R#L1741          stop(paste( ...
-R/utils_input_validation.R#L1742            "All parameters in spline_par ...
-R/utils_input_validation.R#L1743            "when mode is 'integrated'.", ...
-R/utils_input_validation.R#L1744            "Different spline parameters  ...
-R/utils_input_validation.R#L1745            "supported for this mode." ...
-R/utils_input_validation.R#L1746          ), call. = FALSE) ...
-R/utils_input_validation.R#L1747        } ...
-R/utils_input_validation.R#L1749        # # Additional check for 'knots'  ...
-R/utils_input_validation.R#L1750        # if ("knots" %in% names(spline_p ...
-R/utils_input_validation.R#L1751        #   # Check if 'knots' is atomic  ...
-R/utils_input_validation.R#L1752        #   if (!(is.atomic(spline_params ...
-R/utils_input_validation.R#L1753        #     stop( ...
-R/utils_input_validation.R#L1754        #       paste( ...
-R/utils_input_validation.R#L1755        #         "All elements in 'knots ...
-R/utils_input_validation.R#L1756        #         "or NA when mode is 'in ...
-R/utils_input_validation.R#L1757        #         "Different spline param ...
-R/utils_input_validation.R#L1758        #         "supported for this mod ...
-R/utils_input_validation.R#L1759        #       ), ...
-R/utils_input_validation.R#L1760        #       call. = FALSE ...
-R/utils_input_validation.R#L1761        #     ) ...
-R/utils_input_validation.R#L1762        #   } ...
-R/utils_input_validation.R#L1763        # } ...
-R/utils_input_validation.R#L1764        # ...
-R/utils_input_validation.R#L1765        # if ("bknots" %in% names(spline_ ...
-R/utils_input_validation.R#L1766        #   # Check if 'bknots' is atomic ...
-R/utils_input_validation.R#L1767        #   if (!(is.atomic(spline_params ...
-R/utils_input_validation.R#L1768        #         all(is.na(spline_params ...
-R/utils_input_validation.R#L1769        #     stop( ...
-R/utils_input_validation.R#L1770        #       paste( ...
-R/utils_input_validation.R#L1771        #         "All elements in 'bknot ...
-R/utils_input_validation.R#L1772        #         "NA when mode is 'integ ...
-R/utils_input_validation.R#L1773        #         "Different spline param ...
-R/utils_input_validation.R#L1774        #         "supported for this mod ...
-R/utils_input_validation.R#L1775        #       ), ...
-R/utils_input_validation.R#L1776        #       call. = FALSE ...
-R/utils_input_validation.R#L1777        #     ) ...
-R/utils_input_validation.R#L1778        #   } ...
-R/utils_input_validation.R#L1779        # } ...
-R/utils_input_validation.R#L1782      } else if (mode == "isolated") { ...
-R/utils_input_validation.R#L1783        num_levels <- length(unique(meta[ ...
-R/utils_input_validation.R#L1784          if (any(sapply(spline_params, l ...
-R/utils_input_validation.R#L1785            stop(paste( ...
-R/utils_input_validation.R#L1786              "Each vector or list in spl ...
-R/utils_input_validation.R#L1787              "elements as there are uniq ...
-R/utils_input_validation.R#L1788              "column of meta when mode i ...
-R/utils_input_validation.R#L1789              ), ...
-R/utils_input_validation.R#L1791          } ...
-R/utils_input_validation.R#L1792        # if ("knots" %in% names(spline_p ...
-R/utils_input_validation.R#L1793        #   if (length(spline_params$knot ...
-R/utils_input_validation.R#L1794        #     stop( ...
-R/utils_input_validation.R#L1795        #       paste("'knots' in spline_ ...
-R/utils_input_validation.R#L1796        #             "elements as there  ...
-R/utils_input_validation.R#L1797        #             "column of meta whe ...
-R/utils_input_validation.R#L1798        #          call. = FALSE) ...
-R/utils_input_validation.R#L1799        #   } ...
-R/utils_input_validation.R#L1800        # } ...
-R/utils_input_validation.R#L1801        # if ("bknots" %in% names(spline_ ...
-R/utils_input_validation.R#L1802        #   if (length(spline_params$bkno ...
-R/utils_input_validation.R#L1803        #     stop( ...
-R/utils_input_validation.R#L1804        #       paste("'bknots' in spline ...
-R/utils_input_validation.R#L1805        #             "elements as there  ...
-R/utils_input_validation.R#L1806        #             "column of meta whe ...
-R/utils_input_validation.R#L1807        #          call. = FALSE) ...
-R/utils_input_validation.R#L1808        #   } ...
-R/utils_input_validation.R#L1809        # } ...
-R/utils_input_validation.R#L1810      } ...
-R/utils_input_validation.R#L1811    }, ...
-R/utils_input_validation.R#L1814    #' Check Columns in Spline Test Confi ...
-R/utils_input_validation.R#L1815    #' ...
-R/utils_input_validation.R#L1816    #' @description ...
-R/utils_input_validation.R#L1817    #' Validates that the spline test con ...
-R/utils_input_validation.R#L1818    #' in the correct order. ...
-R/utils_input_validation.R#L1819    #' ...
-R/utils_input_validation.R#L1820    #' @param spline_test_configs A dataf ...
-R/utils_input_validation.R#L1821    #'  configurations. ...
-R/utils_input_validation.R#L1822    #' ...
-R/utils_input_validation.R#L1823    #' @return No return value, called fo ...
-R/utils_input_validation.R#L1824    #' ...
-R/utils_input_validation.R#L1825    #' @keywords internal ...
-R/utils_input_validation.R#L1826    #' ...
-R/utils_input_validation.R#L1827    check_columns_spline_test_configs = f ...
-R/utils_input_validation.R#L1829      required_columns <- c( ...
-R/utils_input_validation.R#L1830        "spline_type", ...
-R/utils_input_validation.R#L1831        "degree", ...
-R/utils_input_validation.R#L1832        "dof" ...
-R/utils_input_validation.R#L1833        # "knots", ...
-R/utils_input_validation.R#L1834        # "bknots" ...
-R/utils_input_validation.R#L1835        ) ...
-R/utils_input_validation.R#L1837      # Check for exact match of column n ...
-R/utils_input_validation.R#L1838      if (!identical(names(spline_test_co ...
-R/utils_input_validation.R#L1839        # Find the missing or extra colum ...
-R/utils_input_validation.R#L1840        missing_columns <- setdiff(requir ...
-R/utils_input_validation.R#L1841        extra_columns <- setdiff(names(sp ...
-R/utils_input_validation.R#L1842        error_message <- "Error: Incorrec ...
-R/utils_input_validation.R#L1844        # Append specific issues to the e ...
-R/utils_input_validation.R#L1845        if (length(missing_columns) > 0)  ...
-R/utils_input_validation.R#L1846          error_message <- paste0(error_m ...
-R/utils_input_validation.R#L1847                                  paste(m ...
-R/utils_input_validation.R#L1848        } ...
-R/utils_input_validation.R#L1849        if (length(extra_columns) > 0) { ...
-R/utils_input_validation.R#L1850          error_message <- paste0(error_m ...
-R/utils_input_validation.R#L1851                                  paste(e ...
-R/utils_input_validation.R#L1852        } ...
-R/utils_input_validation.R#L1853        error_message <- paste0(error_mes ...
-R/utils_input_validation.R#L1854                                "Expected ...
-R/utils_input_validation.R#L1855                                paste(req ...
-R/utils_input_validation.R#L1857        stop(error_message) ...
-R/utils_input_validation.R#L1858      } ...
-R/utils_input_validation.R#L1859    }, ...
-R/utils_input_validation.R#L1862    #' Check Spline Type Column ...
-R/utils_input_validation.R#L1863    #' ...
-R/utils_input_validation.R#L1864    #' @description ...
-R/utils_input_validation.R#L1865    #' Validates that the 'spline_type' c ...
-R/utils_input_validation.R#L1866    #' contains only 'n' or 'b'. ...
-R/utils_input_validation.R#L1867    #' ...
-R/utils_input_validation.R#L1868    #' @param spline_test_configs A dataf ...
-R/utils_input_validation.R#L1869    #' configurations. ...
-R/utils_input_validation.R#L1870    #' ...
-R/utils_input_validation.R#L1871    #' @return No return value, called fo ...
-R/utils_input_validation.R#L1872    #' ...
-R/utils_input_validation.R#L1873    #' @keywords internal ...
-R/utils_input_validation.R#L1874    #' ...
-R/utils_input_validation.R#L1875    check_spline_type_column = function(s ...
-R/utils_input_validation.R#L1877      if (!all(spline_test_configs$spline ...
-R/utils_input_validation.R#L1878        # Identify invalid entries ...
-R/utils_input_validation.R#L1879        invalid_entries <- spline_test_co ...
-R/utils_input_validation.R#L1880          !spline_test_configs$spline_typ ...
-R/utils_input_validation.R#L1881        ] ...
-R/utils_input_validation.R#L1882        error_message <- sprintf( ...
-R/utils_input_validation.R#L1883          "Error: 'spline_type' contains  ...
-R/utils_input_validation.R#L1885          paste(unique(invalid_entries),  ...
-R/utils_input_validation.R#L1886        ) ...
-R/utils_input_validation.R#L1888        stop(error_message) ...
-R/utils_input_validation.R#L1889      } ...
-R/utils_input_validation.R#L1890    }, ...
-R/utils_input_validation.R#L1893    #' Check Spline Type Parameters ...
-R/utils_input_validation.R#L1894    #' ...
-R/utils_input_validation.R#L1895    #' @description ...
-R/utils_input_validation.R#L1896    #' Validates the parameters for each  ...
-R/utils_input_validation.R#L1897    #' based on the spline type. ...
-R/utils_input_validation.R#L1898    #' ...
-R/utils_input_validation.R#L1899    #' @param spline_test_configs A dataf ...
-R/utils_input_validation.R#L1900    #' configurations. ...
-R/utils_input_validation.R#L1901    #' ...
-R/utils_input_validation.R#L1902    #' @return TRUE if all checks pass, o ...
-R/utils_input_validation.R#L1903    #' ...
-R/utils_input_validation.R#L1904    #' @keywords internal ...
-R/utils_input_validation.R#L1905    #' ...
-R/utils_input_validation.R#L1906    check_spline_type_params = function(s ...
-R/utils_input_validation.R#L1908      for (i in seq_len(nrow(spline_test_ ...
-R/utils_input_validation.R#L1909        row <- spline_test_configs[i,] ...
-R/utils_input_validation.R#L1910        switch(as.character(row$spline_ty ...
-R/utils_input_validation.R#L1911               "n" = { ...
-R/utils_input_validation.R#L1913                   stop("degree must be N ...
-R/utils_input_validation.R#L1922                   stop("dof must be an i ...
-R/utils_input_validation.R#L1935               }, ...
-R/utils_input_validation.R#L1936               "b" = { ...
-R/utils_input_validation.R#L1938                                          ...
-R/utils_input_validation.R#L1941                   stop("dof must be an i ...
-R/utils_input_validation.R#L1954               }, ...
-R/utils_input_validation.R#L1955               stop("spline_type must be  ...
-R/utils_input_validation.R#L1956        ) ...
-R/utils_input_validation.R#L1957      } ...
-R/utils_input_validation.R#L1958      return(TRUE) ...
-R/utils_input_validation.R#L1959    }, ...
-R/utils_input_validation.R#L1962    #' Check Maximum and Minimum Degrees  ...
-R/utils_input_validation.R#L1963    #' ...
-R/utils_input_validation.R#L1964    #' @description ...
-R/utils_input_validation.R#L1965    #' Validates the degrees of freedom ( ...
-R/utils_input_validation.R#L1966    #' configurations based on the metada ...
-R/utils_input_validation.R#L1967    #' ...
-R/utils_input_validation.R#L1968    #' @param spline_test_configs A dataf ...
-R/utils_input_validation.R#L1969    #' configurations. ...
-R/utils_input_validation.R#L1970    #' @param metas A list of metadata co ...
-R/utils_input_validation.R#L1971    #' ...
-R/utils_input_validation.R#L1972    #' @return No return value, called fo ...
-R/utils_input_validation.R#L1973    #' ...
-R/utils_input_validation.R#L1974    #' @keywords internal ...
-R/utils_input_validation.R#L1975    #' ...
-R/utils_input_validation.R#L1976    check_max_and_min_dof = function( ...
-R/utils_input_validation.R#L1981      for (i in seq_len(nrow(spline_test_ ...
-R/utils_input_validation.R#L1982        row <- spline_test_configs[i, ] ...
-R/utils_input_validation.R#L1983        spline_type <- row[["spline_type" ...
-R/utils_input_validation.R#L1984        dof <- row[["dof"]] ...
-R/utils_input_validation.R#L1985        degree <- row[["degree"]] ...
-R/utils_input_validation.R#L1986        knots <- row[["knots"]] ...
-R/utils_input_validation.R#L1988        # Calculate k and DoF if dof is N ...
-R/utils_input_validation.R#L1989        if (is.na(dof)) { ...
-R/utils_input_validation.R#L1990          k <- length(knots) ...
-R/utils_input_validation.R#L1991          if (spline_type == "b") { ...
-R/utils_input_validation.R#L1992            dof <- k + degree ...
-R/utils_input_validation.R#L1993          } else if (spline_type == "n")  ...
-R/utils_input_validation.R#L1994            dof <- k + 1 ...
-R/utils_input_validation.R#L1995          } else { ...
-R/utils_input_validation.R#L1996            stop("Unknown spline type '", ...
-R/utils_input_validation.R#L1997          } ...
-R/utils_input_validation.R#L1998        } ...
-R/utils_input_validation.R#L2000        # Check if calculated or provided ...
-R/utils_input_validation.R#L2001        if (dof < 2) { ...
-R/utils_input_validation.R#L2002          stop("DoF must be at least 2, f ...
-R/utils_input_validation.R#L2003        } ...
-R/utils_input_validation.R#L2005        for (j in seq_along(metas)) { ...
-R/utils_input_validation.R#L2006          meta <- metas[[j]] ...
-R/utils_input_validation.R#L2007          nr_timepoints <- length(unique( ...
-R/utils_input_validation.R#L2008          if (dof > nr_timepoints) { ...
-R/utils_input_validation.R#L2009            stop("DoF (", dof, ") cannot  ...
-R/utils_input_validation.R#L2010            (", nr_timepoints, ") in meta ...
-R/utils_input_validation.R#L2011          } ...
-R/utils_input_validation.R#L2012        } ...
-R/utils_input_validation.R#L2014      } ...
-R/utils_input_validation.R#L2016      invisible(NULL) ...
-R/utils_input_validation.R#L2017   }, ...
-R/utils_input_validation.R#L2020   #' Check Dataframe Columns ...
-R/utils_input_validation.R#L2021   #' ...
-R/utils_input_validation.R#L2022   #' This function checks if the columns ...
-R/utils_input_validation.R#L2023   #' column names and their respective d ...
-R/utils_input_validation.R#L2024   #' ...
-R/utils_input_validation.R#L2025   #' @param df A dataframe to check. ...
-R/utils_input_validation.R#L2026   #' @param expected_cols A character ve ...
-R/utils_input_validation.R#L2027   #' ...
-R/utils_input_validation.R#L2028   #' @return This function does not retu ...
-R/utils_input_validation.R#L2029   #' dataframe columns or their classes  ...
-R/utils_input_validation.R#L2030   #' ...
-R/utils_input_validation.R#L2031   check_columns = function( ...
-R/utils_input_validation.R#L2038       stop("Dataframe columns do not mat ...
-R/utils_input_validation.R#L2039            call. = FALSE) ...
-R/utils_input_validation.R#L2042                           "numeric", "nu ...
-R/utils_input_validation.R#L2043                           "numeric") ...
-R/utils_input_validation.R#L2046       stop("Dataframe column classes do  ...
-R/utils_input_validation.R#L2047            call. = FALSE) ...
-R/utils_input_validation.R#L2049   } ...
-R/utils_input_validation.R#L2050  ) ...
-R/utils_input_validation.R#L2067  inherit = Level4Functions, ...
-R/utils_input_validation.R#L2069  public = list( ...
-R/utils_input_validation.R#L2071    #' Check the structure of a voom obje ...
-R/utils_input_validation.R#L2072    #' ...
-R/utils_input_validation.R#L2073    #' @description ...
-R/utils_input_validation.R#L2074    #' This function checks the structure ...
-R/utils_input_validation.R#L2075    #' contains ...
-R/utils_input_validation.R#L2076    #' all the expected components and th ...
-R/utils_input_validation.R#L2077    #' types ...
-R/utils_input_validation.R#L2078    #' and dimensions. The function does  ...
-R/utils_input_validation.R#L2079    #' matrices. ...
-R/utils_input_validation.R#L2080    #' ...
-R/utils_input_validation.R#L2081    #' @param voom_obj A list representin ...
-R/utils_input_validation.R#L2082    #' by the ...
-R/utils_input_validation.R#L2083    #'   `voom` function from the `limma` ...
-R/utils_input_validation.R#L2084    #' ...
-R/utils_input_validation.R#L2085    #' @details ...
-R/utils_input_validation.R#L2086    #' The function verifies that the `vo ...
-R/utils_input_validation.R#L2087    #' components: ...
-R/utils_input_validation.R#L2088    #' - `E`: A matrix of log2-counts per ...
-R/utils_input_validation.R#L2089    #' - `weights`: A matrix of observati ...
-R/utils_input_validation.R#L2090    #' dimensions of `E`. ...
-R/utils_input_validation.R#L2091    #' - `design`: A matrix representing  ...
-R/utils_input_validation.R#L2092    #' modeling, ...
-R/utils_input_validation.R#L2093    #'   with the same number of rows as  ...
-R/utils_input_validation.R#L2094    #' ...
-R/utils_input_validation.R#L2095    #' The function also checks for optio ...
-R/utils_input_validation.R#L2096    #' - `genes`: A data frame of gene an ...
-R/utils_input_validation.R#L2097    #' - `targets`: A data frame of targe ...
-R/utils_input_validation.R#L2098    #' - `sample.weights`: A numeric vect ...
-R/utils_input_validation.R#L2099    #' ...
-R/utils_input_validation.R#L2100    #' If any of these checks fail, the f ...
-R/utils_input_validation.R#L2101    #' If the structure is valid, a messa ...
-R/utils_input_validation.R#L2102    #' ...
-R/utils_input_validation.R#L2103    #' @return Boolean TRUE or FALSE. How ...
-R/utils_input_validation.R#L2104    #' its side effects, which stop the s ...
-R/utils_input_validation.R#L2105    #' ...
-R/utils_input_validation.R#L2106    check_voom_structure = function(voom_ ...
-R/utils_input_validation.R#L2108      # Initialize a list to collect any  ...
-R/utils_input_validation.R#L2109      issues <- list() ...
-R/utils_input_validation.R#L2111      # Check if the input is a list ...
-R/utils_input_validation.R#L2112      if (!is.list(voom_obj)) { ...
-R/utils_input_validation.R#L2113        stop("The input is not a list. A  ...
-R/utils_input_validation.R#L2114      } ...
-R/utils_input_validation.R#L2116      # Check for the presence of the exp ...
-R/utils_input_validation.R#L2117      expected_components <- c("E", "weig ...
-R/utils_input_validation.R#L2118      for (comp in expected_components) { ...
-R/utils_input_validation.R#L2119        if (!comp %in% names(voom_obj)) { ...
-R/utils_input_validation.R#L2120          issues <- c(issues, paste("Miss ...
-R/utils_input_validation.R#L2121        } ...
-R/utils_input_validation.R#L2122      } ...
-R/utils_input_validation.R#L2124      # Check that 'E' is a matrix ...
-R/utils_input_validation.R#L2125      if ("E" %in% names(voom_obj) && !is ...
-R/utils_input_validation.R#L2126        issues <- c(issues, "'E' should b ...
-R/utils_input_validation.R#L2127      } ...
-R/utils_input_validation.R#L2129      # Check that 'weights' is a matrix  ...
-R/utils_input_validation.R#L2130      if ("weights" %in% names(voom_obj)) ...
-R/utils_input_validation.R#L2131        if (!is.matrix(voom_obj$weights)) ...
-R/utils_input_validation.R#L2132          issues <- c(issues, "'weights'  ...
-R/utils_input_validation.R#L2133        } else if (!all(dim(voom_obj$weig ...
-R/utils_input_validation.R#L2134          issues <- c( ...
-R/utils_input_validation.R#L2135            issues, ...
-R/utils_input_validation.R#L2136            "'weights' dimensions do not  ...
-R/utils_input_validation.R#L2137            ) ...
-R/utils_input_validation.R#L2138        } ...
-R/utils_input_validation.R#L2139      } ...
-R/utils_input_validation.R#L2141      # Check that 'design' is a matrix a ...
-R/utils_input_validation.R#L2142      if ("design" %in% names(voom_obj))  ...
-R/utils_input_validation.R#L2143        if (!is.matrix(voom_obj$design))  ...
-R/utils_input_validation.R#L2144          issues <- c(issues, "'design' s ...
-R/utils_input_validation.R#L2145        } else if (nrow(voom_obj$design)  ...
-R/utils_input_validation.R#L2146          issues <- c( ...
-R/utils_input_validation.R#L2147            issues, ...
-R/utils_input_validation.R#L2148            "'design' matrix should have  ...
-R/utils_input_validation.R#L2149            number of columns in 'E'." ...
-R/utils_input_validation.R#L2150            ) ...
-R/utils_input_validation.R#L2151        } ...
-R/utils_input_validation.R#L2152      } ...
-R/utils_input_validation.R#L2154      # Optionally, check for the presenc ...
-R/utils_input_validation.R#L2155      if ("genes" %in% names(voom_obj) && ...
-R/utils_input_validation.R#L2156        issues <- c(issues, "'genes' shou ...
-R/utils_input_validation.R#L2157      } ...
-R/utils_input_validation.R#L2159      # Check for the presence of optiona ...
-R/utils_input_validation.R#L2160      # sample weights ...
-R/utils_input_validation.R#L2161      if ("targets" %in% names(voom_obj)  ...
-R/utils_input_validation.R#L2162        issues <- c(issues, "'targets' sh ...
-R/utils_input_validation.R#L2163      } ...
-R/utils_input_validation.R#L2165      if ("sample.weights" %in% names(voo ...
-R/utils_input_validation.R#L2166          && !is.numeric(voom_obj$sample. ...
-R/utils_input_validation.R#L2167        issues <- c(issues, "'sample.weig ...
-R/utils_input_validation.R#L2168      } ...
-R/utils_input_validation.R#L2170      # Report results ...
-R/utils_input_validation.R#L2171      if (length(issues) > 0) { ...
-R/utils_input_validation.R#L2172        stop( ...
-R/utils_input_validation.R#L2173          "The voom object failed the str ...
-R/utils_input_validation.R#L2174          paste( ...
-R/utils_input_validation.R#L2175            issues, ...
-R/utils_input_validation.R#L2176            collapse = "\n" ...
-R/utils_input_validation.R#L2177            ), ...
-R/utils_input_validation.R#L2178          call. = FALSE ...
-R/utils_input_validation.R#L2179          ) ...
-R/utils_input_validation.R#L2180      } else { ...
-R/utils_input_validation.R#L2181        return(TRUE) ...
-R/utils_input_validation.R#L2182      } ...
-R/utils_input_validation.R#L2183    }, ...
-R/utils_input_validation.R#L2186    #' Check Batch Column ...
-R/utils_input_validation.R#L2187    #' ...
-R/utils_input_validation.R#L2188    #' @description ...
-R/utils_input_validation.R#L2189    #' This method checks the batch colum ...
-R/utils_input_validation.R#L2190    #' appropriate messages. ...
-R/utils_input_validation.R#L2191    #' ...
-R/utils_input_validation.R#L2192    #' @param meta A dataframe containing ...
-R/utils_input_validation.R#L2193    #' @param meta_batch_column A charact ...
-R/utils_input_validation.R#L2194    #'  in the metadata. ...
-R/utils_input_validation.R#L2195    #' @param data_meta_index An optional ...
-R/utils_input_validation.R#L2196    #'  data/meta pair. Default is NA. ...
-R/utils_input_validation.R#L2197    #' ...
-R/utils_input_validation.R#L2198    #' @return NULL. The method is used f ...
-R/utils_input_validation.R#L2199    #' or printing messages. ...
-R/utils_input_validation.R#L2200    #' ...
-R/utils_input_validation.R#L2201    check_batch_column = function( ...
-R/utils_input_validation.R#L2207      if (!is.null(meta_batch_column) &&  ...
-R/utils_input_validation.R#L2208        stop(self$create_error_message(sp ...
-R/utils_input_validation.R#L2209                                          ...
-R/utils_input_validation.R#L2210                                          ...
-R/utils_input_validation.R#L2211                                       da ...
-R/utils_input_validation.R#L2213      } else if (!is.null(meta_batch_colu ...
-R/utils_input_validation.R#L2214        if (!is.null(data_meta_index)) { ...
-R/utils_input_validation.R#L2215          message(sprintf("Index: %s. %s" ...
-R/utils_input_validation.R#L2216                          data_meta_index ...
-R/utils_input_validation.R#L2217                          paste("Column", ...
-R/utils_input_validation.R#L2218                                "of meta  ...
-R/utils_input_validation.R#L2219                                "to remov ...
-R/utils_input_validation.R#L2220        } else { ...
-R/utils_input_validation.R#L2221          message(sprintf("Column '%s' of ...
-R/utils_input_validation.R#L2222                          meta_batch_colu ...
-R/utils_input_validation.R#L2223                          paste("remove t ...
-R/utils_input_validation.R#L2224        } ...
-R/utils_input_validation.R#L2225      } else { ...
-R/utils_input_validation.R#L2226        if (!is.null(data_meta_index)) { ...
-R/utils_input_validation.R#L2227          message(sprintf( ...
-R/utils_input_validation.R#L2228            "Index: %s. Batch effect will ...
-R/utils_input_validation.R#L2229            data_meta_index)) ...
-R/utils_input_validation.R#L2230        } else { ...
-R/utils_input_validation.R#L2231          message("Batch effect will NOT  ...
-R/utils_input_validation.R#L2232        } ...
-R/utils_input_validation.R#L2233      } ...
-R/utils_input_validation.R#L2234    }, ...
-R/utils_input_validation.R#L2237    #' Check Condition Time Consistency ...
-R/utils_input_validation.R#L2238    #' ...
-R/utils_input_validation.R#L2239    #' @description ...
-R/utils_input_validation.R#L2240    #' This function checks whether the v ...
-R/utils_input_validation.R#L2241    #' have unique values for each block  ...
-R/utils_input_validation.R#L2242    #' `meta` dataframe. ...
-R/utils_input_validation.R#L2243    #' Additionally, it ensures that ever ...
-R/utils_input_validation.R#L2244    #' new value ...
-R/utils_input_validation.R#L2245    #' in the `condition` column. ...
-R/utils_input_validation.R#L2246    #' ...
-R/utils_input_validation.R#L2247    #' @param meta A dataframe containing ...
-R/utils_input_validation.R#L2248    #'  column. ...
-R/utils_input_validation.R#L2249    #' @param condition A character strin ...
-R/utils_input_validation.R#L2250    #'                  used to define gr ...
-R/utils_input_validation.R#L2251    #' ...
-R/utils_input_validation.R#L2252    #' @return Logical TRUE if the condit ...
-R/utils_input_validation.R#L2253    #'  time series pattern. ...
-R/utils_input_validation.R#L2254    #' ...
-R/utils_input_validation.R#L2255    check_condition_time_consistency = fu ...
-R/utils_input_validation.R#L2260      # Get the unique times in the order ...
-R/utils_input_validation.R#L2261      unique_times <- unique(meta[["Time" ...
-R/utils_input_validation.R#L2263      # Initialize a list to store previo ...
-R/utils_input_validation.R#L2264      # segment ...
-R/utils_input_validation.R#L2265      seen_conditions <- list() ...
-R/utils_input_validation.R#L2267      # Iterate through each block of uni ...
-R/utils_input_validation.R#L2268      for (time in unique_times) { ...
-R/utils_input_validation.R#L2269        # Get the indices for the current ...
-R/utils_input_validation.R#L2270        current_indices <- which(meta[["T ...
-R/utils_input_validation.R#L2272        # Get the condition values for th ...
-R/utils_input_validation.R#L2273        current_conditions <- meta[curren ...
-R/utils_input_validation.R#L2275        # Ensure that all conditions in t ...
-R/utils_input_validation.R#L2276        if (length(unique(current_conditi ...
-R/utils_input_validation.R#L2277          stop(paste("Every block of iden ...
-R/utils_input_validation.R#L2279               call. = FALSE) ...
-R/utils_input_validation.R#L2280        } ...
-R/utils_input_validation.R#L2282        # Check if the condition value ha ...
-R/utils_input_validation.R#L2283        if (!is.null(seen_conditions[[as. ...
-R/utils_input_validation.R#L2284          if (current_conditions[1] %in%  ...
-R/utils_input_validation.R#L2285            stop(sprintf("Condition '%s'  ...
-R/utils_input_validation.R#L2287          } ...
-R/utils_input_validation.R#L2288        } ...
-R/utils_input_validation.R#L2290        # Update the seen conditions for  ...
-R/utils_input_validation.R#L2291        if (is.null(seen_conditions[[as.c ...
-R/utils_input_validation.R#L2292          seen_conditions[[as.character(t ...
-R/utils_input_validation.R#L2293        } ...
-R/utils_input_validation.R#L2294        seen_conditions[[as.character(tim ...
-R/utils_input_validation.R#L2295          seen_conditions[[as.character(t ...
-R/utils_input_validation.R#L2296          current_conditions[1] ...
-R/utils_input_validation.R#L2297        ) ...
-R/utils_input_validation.R#L2298      } ...
-R/utils_input_validation.R#L2300      return(TRUE) ...
-R/utils_input_validation.R#L2301    } ...
-R/utils_input_validation.R#L2302  ) ...
-R/utils_input_validation.R#L2317  public = list( ...
-R/utils_input_validation.R#L2319    #' Create Error Message ...
-R/utils_input_validation.R#L2320    #' ...
-R/utils_input_validation.R#L2321    #' @description ...
-R/utils_input_validation.R#L2322    #' This method creates a formatted er ...
-R/utils_input_validation.R#L2323    #' the data/meta pair if provided. ...
-R/utils_input_validation.R#L2324    #' If no index is provided, it return ...
-R/utils_input_validation.R#L2325    #' ...
-R/utils_input_validation.R#L2326    #' @param message A character string  ...
-R/utils_input_validation.R#L2327    #' @param data_meta_index An optional ...
-R/utils_input_validation.R#L2328    #' data/meta pair for the error messa ...
-R/utils_input_validation.R#L2329    #' ...
-R/utils_input_validation.R#L2330    #' @return Returns a formatted error  ...
-R/utils_input_validation.R#L2331    #' the message includes the index; ot ...
-R/utils_input_validation.R#L2332    #' ...
-R/utils_input_validation.R#L2333    create_error_message = function( ...
-R/utils_input_validation.R#L2338      if (!is.null(data_meta_index)) { ...
-R/utils_input_validation.R#L2339        return(sprintf( ...
-R/utils_input_validation.R#L2340          "data/meta pair index %d: %s", ...
-R/utils_input_validation.R#L2341          data_meta_index, ...
-R/utils_input_validation.R#L2342          message ...
-R/utils_input_validation.R#L2343          )) ...
-R/utils_input_validation.R#L2344      } else { ...
-R/utils_input_validation.R#L2345        return(message) ...
-R/utils_input_validation.R#L2346      } ...
-R/utils_input_validation.R#L2347    } ...
-R/utils_input_validation.R#L2348  ) ...
-R/utils_input_validation.R#L2374   required_elements <- switch( ...
-R/utils_input_validation.R#L2377       "data", ...
-R/utils_input_validation.R#L2378       "meta", ...
-R/utils_input_validation.R#L2379       "condition", ...
-R/utils_input_validation.R#L2380       "report_info" ...
-R/utils_input_validation.R#L2381       ), ...
-R/utils_input_validation.R#L2383       "condition", ...
-R/utils_input_validation.R#L2384       "report_info", ...
-R/utils_input_validation.R#L2385       "padjust_method" ...
-R/utils_input_validation.R#L2388       "data", ...
-R/utils_input_validation.R#L2389       "meta", ...
-R/utils_input_validation.R#L2390       "design", ...
-R/utils_input_validation.R#L2391       "mode", ...
-R/utils_input_validation.R#L2392       "condition", ...
-R/utils_input_validation.R#L2393       "spline_params", ...
-R/utils_input_validation.R#L2394       "padjust_method" ...
-R/utils_input_validation.R#L2397       "limma_splines_result", ...
-R/utils_input_validation.R#L2398       "report_info" ...
-R/utils_input_validation.R#L2401       "data", ...
-R/utils_input_validation.R#L2402       "meta", ...
-R/utils_input_validation.R#L2403       "design", ...
-R/utils_input_validation.R#L2404       "mode", ...
-R/utils_input_validation.R#L2405       "condition", ...
-R/utils_input_validation.R#L2406       "spline_params", ...
-R/utils_input_validation.R#L2407       "limma_splines_result" ...
-R/utils_input_validation.R#L2410       "Invalid function type provided.", ...
-R/utils_input_validation.R#L2411       call. = FALSE ...
-R/utils_input_validation.R#L2412       ) ...
-R/utils_input_validation.R#L2415   missing_elements <- required_elements[ ...
-R/utils_input_validation.R#L2417       splineomics[required_elements], ...
-R/utils_input_validation.R#L2418       function(x) !is.null(x) ...
-R/utils_input_validation.R#L2419       ) ...
-R/utils_input_validation.R#L2422   if (length(missing_elements) > 0) { ...
-R/utils_input_validation.R#L2424       "The following required elements f ...
-R/utils_input_validation.R#L2425       func_type, ...
-R/utils_input_validation.R#L2426       "were not passed to the SplineOmic ...
-R/utils_input_validation.R#L2427       paste( ...
-R/utils_input_validation.R#L2431       "\nAll required elements for", ...
-R/utils_input_validation.R#L2432       func_type, ...
-R/utils_input_validation.R#L2433       "are:", ...
-R/utils_input_validation.R#L2434       paste( ...
-R/utils_input_validation.R#L2437       ), ...
-R/utils_input_validation.R#L2438       call. = FALSE) ...
-R/utils_input_validation.R#L2439   } ...
-R/utils_input_validation.R#L2457   null_elements <- names(args)[sapply(ar ...
-R/utils_input_validation.R#L2459   if (length(null_elements) > 0) { ...
-R/utils_input_validation.R#L2461       paste("The following function argu ...
-R/utils_input_validation.R#L2463       call. = FALSE ...
-R/utils_input_validation.R#L2465   } ...
-R/utils_report_generation.R#L77                       "%d_%m_%Y-%H_%M_%S ...
-R/utils_report_generation.R#L81   feature_names_formula <- "" ...
-R/utils_report_generation.R#L82    ...
-R/utils_report_generation.R#L83   if (report_type == "explore_data") { ...
-R/utils_report_generation.R#L85       title <- "explore data" ...
-R/utils_report_generation.R#L87       title <- "explore batch-corrected  ...
-R/utils_report_generation.R#L89   } else if (report_type == "screen_limm ...
-R/utils_report_generation.R#L92   } else if (report_type == "create_limm ...
-R/utils_report_generation.R#L95   } else if (report_type == "cluster_hit ...
-R/utils_report_generation.R#L98       feature_name_columns, ...
-R/utils_report_generation.R#L99       collapse = "_" ...
-R/utils_report_generation.R#L100       ) ...
-R/utils_report_generation.R#L102   } else if (report_type == "create_gsea ...
+R/utils_input_validation.R#L1224       # Verify that the directory exists ...
+R/utils_input_validation.R#L1225       if (!file.exists(report_dir) || !f ...
+R/utils_input_validation.R#L1227           sprintf( ...
+R/utils_input_validation.R#L1230           ) ...
+R/utils_input_validation.R#L1232       } ...
+R/utils_input_validation.R#L1234       return(TRUE) ...
+R/utils_input_validation.R#L1253       data <- self$args$data ...
+R/utils_input_validation.R#L1254       genes <- self$args$genes ...
+R/utils_input_validation.R#L1256       required_args <- list(data, genes) ...
+R/utils_input_validation.R#L1258       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L1260       } ...
+R/utils_input_validation.R#L1262       if (!is.character(genes)) { ...
+R/utils_input_validation.R#L1264       } ...
+R/utils_input_validation.R#L1266       if (length(genes) != nrow(data)) { ...
+R/utils_input_validation.R#L1268       } ...
+R/utils_input_validation.R#L1295       padjust_method <- self$args$padjus ...
+R/utils_input_validation.R#L1297       required_args <- list(padjust_meth ...
+R/utils_input_validation.R#L1299       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L1301       } ...
+R/utils_input_validation.R#L1303       supported_methods <- stats::p.adju ...
+R/utils_input_validation.R#L1304       if (!(is.character(padjust_method) ...
+R/utils_input_validation.R#L1307           sprintf(paste( ...
+R/utils_input_validation.R#L1311           )), ...
+R/utils_input_validation.R#L1312           call. = FALSE ...
+R/utils_input_validation.R#L1314       } ...
+R/utils_input_validation.R#L1331       report_info <- self$args[["report_ ...
+R/utils_input_validation.R#L1333       required_args <- list(report_info) ...
+R/utils_input_validation.R#L1335       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L1337       } ...
+R/utils_input_validation.R#L1339       mandatory_fields <- c( ...
+R/utils_input_validation.R#L1346       ) ...
+R/utils_input_validation.R#L1348       all_fields <- c( ...
+R/utils_input_validation.R#L1353       ) ...
+R/utils_input_validation.R#L1355       # Check if report_info is a named  ...
+R/utils_input_validation.R#L1356       if (!is.list(report_info) || is.nu ...
+R/utils_input_validation.R#L1358       } ...
+R/utils_input_validation.R#L1360       # Check if all values in report_in ...
+R/utils_input_validation.R#L1361       non_string_fields <- vapply( ...
+R/utils_input_validation.R#L1365       ) ...
+R/utils_input_validation.R#L1367       if (any(non_string_fields)) { ...
+R/utils_input_validation.R#L1370           "The following fields in repor ...
+R/utils_input_validation.R#L1371           paste(invalid_fields, collapse ...
+R/utils_input_validation.R#L1373       } ...
+R/utils_input_validation.R#L1375       # Check if all mandatory fields ar ...
+R/utils_input_validation.R#L1376       missing_fields <- setdiff(mandator ...
+R/utils_input_validation.R#L1377       if (length(missing_fields) > 0) { ...
+R/utils_input_validation.R#L1379           "Missing mandatory fields in r ...
+R/utils_input_validation.R#L1380           paste(missing_fields, collapse ...
+R/utils_input_validation.R#L1382       } ...
+R/utils_input_validation.R#L1384       # Check if there are any extra fie ...
+R/utils_input_validation.R#L1385       extra_fields <- setdiff(names(repo ...
+R/utils_input_validation.R#L1386       if (length(extra_fields) > 0) { ...
+R/utils_input_validation.R#L1388           "The following fields in repor ...
+R/utils_input_validation.R#L1389           paste(extra_fields, collapse = ...
+R/utils_input_validation.R#L1391       } ...
+R/utils_input_validation.R#L1393       # Check omics_data_type format ...
+R/utils_input_validation.R#L1394       if (!grepl("^[a-zA-Z_]+$", report_ ...
+R/utils_input_validation.R#L1396           "The 'omics_data_type' field m ...
+R/utils_input_validation.R#L1397           "letters and underscores." ...
+R/utils_input_validation.R#L1399       } ...
+R/utils_input_validation.R#L1401       excluded_fields <- c( ...
+R/utils_input_validation.R#L1406       ) ...
+R/utils_input_validation.R#L1407       excluded_limit <- 700 ...
+R/utils_input_validation.R#L1409       check_long_fields <- function(data ...
+R/utils_input_validation.R#L1413           if (any(names(data) %in% exclu ...
+R/utils_input_validation.R#L1415           } else { ...
+R/utils_input_validation.R#L1417           } ...
+R/utils_input_validation.R#L1420       } ...
+R/utils_input_validation.R#L1422       # Check if any field exceeds 70 ch ...
+R/utils_input_validation.R#L1423       long_fields <- check_long_fields( ...
+R/utils_input_validation.R#L1427       ) ...
+R/utils_input_validation.R#L1429       if (any(long_fields)) { ...
+R/utils_input_validation.R#L1432           paste(too_long_fields, collaps ...
+R/utils_input_validation.R#L1433           sep = "\n" ...
+R/utils_input_validation.R#L1435       } ...
+R/utils_input_validation.R#L1437       return(TRUE) ...
+R/utils_input_validation.R#L1466       feature_name_columns <- self$args[ ...
+R/utils_input_validation.R#L1467       annotation <- self$args[["annotati ...
+R/utils_input_validation.R#L1469       required_args <- list( ...
+R/utils_input_validation.R#L1472       ) ...
+R/utils_input_validation.R#L1474       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L1476       } ...
+R/utils_input_validation.R#L1478       # Check if every element in featur ...
+R/utils_input_validation.R#L1479       # of length 1 ...
+R/utils_input_validation.R#L1480       if (!all(vapply( ...
+R/utils_input_validation.R#L1484       )) ...
+R/utils_input_validation.R#L1485       ) { ...
+R/utils_input_validation.R#L1487           paste( ...
+R/utils_input_validation.R#L1490           ) ...
+R/utils_input_validation.R#L1492       } ...
+R/utils_input_validation.R#L1494       # Check if all elements of feature ...
+R/utils_input_validation.R#L1495       # in annotation ...
+R/utils_input_validation.R#L1496       if (!all(feature_name_columns %in% ...
+R/utils_input_validation.R#L1498           paste( ...
+R/utils_input_validation.R#L1501           ) ...
+R/utils_input_validation.R#L1503       } ...
+R/utils_input_validation.R#L1522       report <- self$args[["report"]] ...
+R/utils_input_validation.R#L1524       required_args <- list(report) ...
+R/utils_input_validation.R#L1526       if (any(vapply(required_args, is.n ...
+R/utils_input_validation.R#L1528       } ...
+R/utils_input_validation.R#L1530       if (!rlang::is_bool(report)) { ...
+R/utils_input_validation.R#L1532       } ...
+R/utils_input_validation.R#L1534   ) ...
+R/utils_input_validation.R#L1550   inherit = Level3Functions, ...
+R/utils_input_validation.R#L1551   public = list( ...
+R/utils_input_validation.R#L1575       if (!is.matrix(data) || !is.numeri ...
+R/utils_input_validation.R#L1577           self$create_error_message( ...
+R/utils_input_validation.R#L1580           ), ...
+R/utils_input_validation.R#L1581           call. = FALSE ...
+R/utils_input_validation.R#L1583       } ...
+R/utils_input_validation.R#L1585       # Check for missing values ...
+R/utils_input_validation.R#L1586       if (any(is.na(data))) { ...
+R/utils_input_validation.R#L1588           self$create_error_message( ...
+R/utils_input_validation.R#L1591           ), ...
+R/utils_input_validation.R#L1592           call. = FALSE ...
+R/utils_input_validation.R#L1594       } ...
+R/utils_input_validation.R#L1596       # Check for non-negative values ...
+R/utils_input_validation.R#L1597       if (any(data < 0)) { ...
+R/utils_input_validation.R#L1599           self$create_error_message( ...
+R/utils_input_validation.R#L1601               "All elements of data must ...
+R/utils_input_validation.R#L1602               "represent concentrations, ...
+R/utils_input_validation.R#L1603               "intensities (which are in ...
+R/utils_input_validation.R#L1606           ), ...
+R/utils_input_validation.R#L1607           call. = FALSE ...
+R/utils_input_validation.R#L1609       } ...
+R/utils_input_validation.R#L1611       # Check for rows with all zeros ...
+R/utils_input_validation.R#L1612       if (any(rowSums(data) == 0)) { ...
+R/utils_input_validation.R#L1614           self$create_error_message( ...
+R/utils_input_validation.R#L1617           ), ...
+R/utils_input_validation.R#L1618           call. = FALSE ...
+R/utils_input_validation.R#L1620       } ...
+R/utils_input_validation.R#L1622       # Check for columns with all zeros ...
+R/utils_input_validation.R#L1623       if (any(colSums(data) == 0)) { ...
+R/utils_input_validation.R#L1625           self$create_error_message( ...
+R/utils_input_validation.R#L1627               "data must not contain col ...
+R/utils_input_validation.R#L1630           ), ...
+R/utils_input_validation.R#L1631           call. = FALSE ...
+R/utils_input_validation.R#L1633       } ...
+R/utils_input_validation.R#L1635       # Check if row headers (rownames)  ...
+R/utils_input_validation.R#L1636       row_headers <- rownames(data) ...
+R/utils_input_validation.R#L1637       if (is.null(row_headers)) { ...
+R/utils_input_validation.R#L1639           self$create_error_message( ...
+R/utils_input_validation.R#L1642           ), ...
+R/utils_input_validation.R#L1643           call. = FALSE ...
+R/utils_input_validation.R#L1645       } ...
+R/utils_input_validation.R#L1647       return(TRUE) ...
+R/utils_input_validation.R#L1685       if (!is.data.frame(meta) || ...
+R/utils_input_validation.R#L1689           self$create_error_message( ...
+R/utils_input_validation.R#L1692           ), ...
+R/utils_input_validation.R#L1693           call. = FALSE ...
+R/utils_input_validation.R#L1695       } ...
+R/utils_input_validation.R#L1697       if (any(is.na(meta))) { ...
+R/utils_input_validation.R#L1699           self$create_error_message( ...
+R/utils_input_validation.R#L1702           ), ...
+R/utils_input_validation.R#L1703           call. = FALSE ...
+R/utils_input_validation.R#L1705       } ...
+R/utils_input_validation.R#L1707       # Check if condition is a single c ...
+R/utils_input_validation.R#L1708       if (!is.character(condition) || le ...
+R/utils_input_validation.R#L1710           call. = FALSE ...
+R/utils_input_validation.R#L1712       } ...
+R/utils_input_validation.R#L1714       # Check if condition is a column i ...
+R/utils_input_validation.R#L1715       if (!condition %in% colnames(meta) ...
+R/utils_input_validation.R#L1717           sprintf( ...
+R/utils_input_validation.R#L1721           ), ...
+R/utils_input_validation.R#L1722           data_meta_index ...
+R/utils_input_validation.R#L1724       } ...
+R/utils_input_validation.R#L1726       # Check if the factor column is of ...
+R/utils_input_validation.R#L1727       if (!is.factor(meta[[condition]])  ...
+R/utils_input_validation.R#L1730           self$create_error_message( ...
+R/utils_input_validation.R#L1732                  factor or character.",  ...
+R/utils_input_validation.R#L1734           ), ...
+R/utils_input_validation.R#L1735           call. = FALSE ...
+R/utils_input_validation.R#L1737       } ...
+R/utils_input_validation.R#L1739       # Check condition and time pattern ...
+R/utils_input_validation.R#L1740       self$check_condition_time_consiste ...
+R/utils_input_validation.R#L1742       if (!is.character(meta_batch2_colu ...
+R/utils_input_validation.R#L1744       } ...
+R/utils_input_validation.R#L1746       if (is.null(meta_batch_column) &&  ...
+R/utils_input_validation.R#L1748           "For removing the batch effect ...
+R/utils_input_validation.R#L1749           "batch is used!" ...
+R/utils_input_validation.R#L1751       } ...
+R/utils_input_validation.R#L1753       if (!is.null(meta_batch_column)) { ...
+R/utils_input_validation.R#L1755           if (meta_batch_column == "Time ...
+R/utils_input_validation.R#L1757               call. = FALSE ...
+R/utils_input_validation.R#L1759           } ...
+R/utils_input_validation.R#L1761           self$check_batch_column( ...
+R/utils_input_validation.R#L1765           ) ...
+R/utils_input_validation.R#L1767           stop( ...
+R/utils_input_validation.R#L1770           ) ...
+R/utils_input_validation.R#L1772       } ...
+R/utils_input_validation.R#L1774       if (!is.null(meta_batch2_column))  ...
+R/utils_input_validation.R#L1776           if (meta_batch2_column == "Tim ...
+R/utils_input_validation.R#L1778               call. = FALSE ...
+R/utils_input_validation.R#L1780           } ...
+R/utils_input_validation.R#L1782           if (meta_batch_column == meta_ ...
+R/utils_input_validation.R#L1784               paste( ...
+R/utils_input_validation.R#L1787               ), ...
+R/utils_input_validation.R#L1788               call. = FALSE ...
+R/utils_input_validation.R#L1790           } ...
+R/utils_input_validation.R#L1792           self$check_batch_column( ...
+R/utils_input_validation.R#L1796           ) ...
+R/utils_input_validation.R#L1798           stop( ...
+R/utils_input_validation.R#L1801           ) ...
+R/utils_input_validation.R#L1803       } ...
+R/utils_input_validation.R#L1805       return(TRUE) ...
+R/utils_input_validation.R#L1820       # Define the required columns and  ...
+R/utils_input_validation.R#L1821       required_columns <- list( ...
+R/utils_input_validation.R#L1828       ) ...
+R/utils_input_validation.R#L1830       # Check if all required columns ar ...
+R/utils_input_validation.R#L1831       missing_columns <- setdiff(names(r ...
+R/utils_input_validation.R#L1832       if (length(missing_columns) > 0) { ...
+R/utils_input_validation.R#L1834           paste( ...
+R/utils_input_validation.R#L1837           ), ...
+R/utils_input_validation.R#L1838           call. = FALSE ...
+R/utils_input_validation.R#L1840       } ...
+R/utils_input_validation.R#L1842       # Check if columns have the correc ...
+R/utils_input_validation.R#L1843       for (col in names(required_columns ...
+R/utils_input_validation.R#L1845           stop( ...
+R/utils_input_validation.R#L1847               "top_table column", col, " ...
+R/utils_input_validation.R#L1848               required_columns[[col]] ...
+R/utils_input_validation.R#L1851           ) ...
+R/utils_input_validation.R#L1853       } ...
+R/utils_input_validation.R#L1855       return(TRUE) ...
+R/utils_input_validation.R#L1869       allowed_fields <- c("spline_type", ...
+R/utils_input_validation.R#L1871       if (!all(names(spline_params) %in% ...
+R/utils_input_validation.R#L1873           paste( ...
+R/utils_input_validation.R#L1876           ), ...
+R/utils_input_validation.R#L1877           call. = FALSE ...
+R/utils_input_validation.R#L1879       } ...
+R/utils_input_validation.R#L1881       # Check if spline_type exists and  ...
+R/utils_input_validation.R#L1882       if ("spline_type" %in% names(splin ...
+R/utils_input_validation.R#L1884           stop( ...
+R/utils_input_validation.R#L1886               "Elements of spline_type m ...
+R/utils_input_validation.R#L1887               "or 'n' for natural cubic  ...
+R/utils_input_validation.R#L1890           ) ...
+R/utils_input_validation.R#L1892       } else { ...
+R/utils_input_validation.R#L1894       } ...
+R/utils_input_validation.R#L1896       # Check if degree exists and is an ...
+R/utils_input_validation.R#L1897       # and NA for natural splines ...
+R/utils_input_validation.R#L1898       if ("degree" %in% names(spline_par ...
+R/utils_input_validation.R#L1900           if (spline_params$spline_type[ ...
+R/utils_input_validation.R#L1902               is.na(spline_params$degree ...
+R/utils_input_validation.R#L1904               paste( ...
+R/utils_input_validation.R#L1907               ), ...
+R/utils_input_validation.R#L1908               call. = FALSE ...
+R/utils_input_validation.R#L1910           } ...
+R/utils_input_validation.R#L1911           if (spline_params$spline_type[ ...
+R/utils_input_validation.R#L1914               paste( ...
+R/utils_input_validation.R#L1917               ), ...
+R/utils_input_validation.R#L1918               call. = FALSE ...
+R/utils_input_validation.R#L1920           } ...
+R/utils_input_validation.R#L1922       } else if (all(spline_params$splin ...
+R/utils_input_validation.R#L1924       } ...
+R/utils_input_validation.R#L1926       # Check if dof exists and is an in ...
+R/utils_input_validation.R#L1927       if ("dof" %in% names(spline_params ...
+R/utils_input_validation.R#L1929           stop("dof must be an integer v ...
+R/utils_input_validation.R#L1933           if (spline_params$spline_type[ ...
+R/utils_input_validation.R#L1936               paste("B-splines require D ...
+R/utils_input_validation.R#L1937               call. = FALSE ...
+R/utils_input_validation.R#L1939           } ...
+R/utils_input_validation.R#L1941       } else { ...
+R/utils_input_validation.R#L1943       } ...
+R/utils_input_validation.R#L1965       if (mode == "integrated") { ...
+R/utils_input_validation.R#L1969           # Atomic vectors (like numeric ...
+R/utils_input_validation.R#L1970           # should count as 1 element ...
+R/utils_input_validation.R#L1971           !is.atomic(x) && length(x) !=  ...
+R/utils_input_validation.R#L1973           stop(paste( ...
+R/utils_input_validation.R#L1978           ), call. = FALSE) ...
+R/utils_input_validation.R#L2012       } else if (mode == "isolated") { ...
+R/utils_input_validation.R#L2015           stop_call_false(paste( ...
+R/utils_input_validation.R#L2019           )) ...
+R/utils_input_validation.R#L2039       } ...
+R/utils_input_validation.R#L2057       required_columns <- c( ...
+R/utils_input_validation.R#L2063       ) ...
+R/utils_input_validation.R#L2065       # Check for exact match of column  ...
+R/utils_input_validation.R#L2066       if (!identical(names(spline_test_c ...
+R/utils_input_validation.R#L2074           error_message <- paste0( ...
+R/utils_input_validation.R#L2077           ) ...
+R/utils_input_validation.R#L2080           error_message <- paste0( ...
+R/utils_input_validation.R#L2083           ) ...
+R/utils_input_validation.R#L2086           error_message, ...
+R/utils_input_validation.R#L2087           "Expected columns in order: ", ...
+R/utils_input_validation.R#L2088           paste(required_columns, collap ...
+R/utils_input_validation.R#L2092       } ...
+R/utils_input_validation.R#L2110       if (!all(spline_test_configs$splin ...
+R/utils_input_validation.R#L2113           !spline_test_configs$spline_ty ...
+R/utils_input_validation.R#L2116           "Error: 'spline_type' contains ...
+R/utils_input_validation.R#L2118           paste(unique(invalid_entries), ...
+R/utils_input_validation.R#L2122       } ...
+R/utils_input_validation.R#L2140       for (i in seq_len(nrow(spline_test ...
+R/utils_input_validation.R#L2143           "n" = { ...
+R/utils_input_validation.R#L2145               stop("degree must be NA fo ...
+R/utils_input_validation.R#L2155               stop("dof must be an integ ...
+R/utils_input_validation.R#L2168           }, ...
+R/utils_input_validation.R#L2169           "b" = { ...
+R/utils_input_validation.R#L2171                                          ...
+R/utils_input_validation.R#L2173               row$dof < row$degree)) { ...
+R/utils_input_validation.R#L2174               stop("dof must be an integ ...
+R/utils_input_validation.R#L2187           }, ...
+R/utils_input_validation.R#L2188           stop("spline_type must be eith ...
+R/utils_input_validation.R#L2190       } ...
+R/utils_input_validation.R#L2191       return(TRUE) ...
+R/utils_input_validation.R#L2212       for (i in seq_len(nrow(spline_test ...
+R/utils_input_validation.R#L2221           k <- length(knots) ...
+R/utils_input_validation.R#L2222           if (spline_type == "b") { ...
+R/utils_input_validation.R#L2224           } else if (spline_type == "n") ...
+R/utils_input_validation.R#L2226           } else { ...
+R/utils_input_validation.R#L2228           } ...
+R/utils_input_validation.R#L2233           stop("DoF must be at least 2,  ...
+R/utils_input_validation.R#L2237           meta <- metas[[j]] ...
+R/utils_input_validation.R#L2238           nr_timepoints <- length(unique ...
+R/utils_input_validation.R#L2239           if (dof > nr_timepoints) { ...
+R/utils_input_validation.R#L2241            (", nr_timepoints, ") in meta ...
+R/utils_input_validation.R#L2242           } ...
+R/utils_input_validation.R#L2244       } ...
+R/utils_input_validation.R#L2246       invisible(NULL) ...
+R/utils_input_validation.R#L2264       actual_cols <- names(df) ...
+R/utils_input_validation.R#L2265       if (!all(expected_cols %in% actual ...
+R/utils_input_validation.R#L2267       } ...
+R/utils_input_validation.R#L2268       expected_classes <- c( ...
+R/utils_input_validation.R#L2278       ) ...
+R/utils_input_validation.R#L2279       actual_classes <- vapply(df, class ...
+R/utils_input_validation.R#L2280       if (!all(actual_classes == expecte ...
+R/utils_input_validation.R#L2282       } ...
+R/utils_input_validation.R#L2284   ) ...
+R/utils_input_validation.R#L2300   inherit = Level4Functions, ...
+R/utils_input_validation.R#L2301   public = list( ...
+R/utils_input_validation.R#L2339       # Initialize a list to collect any ...
+R/utils_input_validation.R#L2340       issues <- list() ...
+R/utils_input_validation.R#L2342       # Check if the input is a list ...
+R/utils_input_validation.R#L2343       if (!is.list(voom_obj)) { ...
+R/utils_input_validation.R#L2345       } ...
+R/utils_input_validation.R#L2347       # Check for the presence of the ex ...
+R/utils_input_validation.R#L2348       expected_components <- c("E", "wei ...
+R/utils_input_validation.R#L2349       for (comp in expected_components)  ...
+R/utils_input_validation.R#L2351           issues <- c(issues, paste("Mis ...
+R/utils_input_validation.R#L2353       } ...
+R/utils_input_validation.R#L2355       # Check that 'E' is a matrix ...
+R/utils_input_validation.R#L2356       if ("E" %in% names(voom_obj) && !i ...
+R/utils_input_validation.R#L2358       } ...
+R/utils_input_validation.R#L2360       # Check that 'weights' is a matrix ...
+R/utils_input_validation.R#L2361       if ("weights" %in% names(voom_obj) ...
+R/utils_input_validation.R#L2363           issues <- c(issues, "'weights' ...
+R/utils_input_validation.R#L2365           issues <- c( ...
+R/utils_input_validation.R#L2368           ) ...
+R/utils_input_validation.R#L2370       } ...
+R/utils_input_validation.R#L2372       # Check that 'design' is a matrix  ...
+R/utils_input_validation.R#L2373       if ("design" %in% names(voom_obj)) ...
+R/utils_input_validation.R#L2375           issues <- c(issues, "'design'  ...
+R/utils_input_validation.R#L2377           issues <- c( ...
+R/utils_input_validation.R#L2380            number of columns in 'E'." ...
+R/utils_input_validation.R#L2381           ) ...
+R/utils_input_validation.R#L2383       } ...
+R/utils_input_validation.R#L2385       # Optionally, check for the presen ...
+R/utils_input_validation.R#L2386       if ("genes" %in% names(voom_obj) & ...
+R/utils_input_validation.R#L2388       } ...
+R/utils_input_validation.R#L2390       # Check for the presence of option ...
+R/utils_input_validation.R#L2391       # sample weights ...
+R/utils_input_validation.R#L2392       if ("targets" %in% names(voom_obj) ...
+R/utils_input_validation.R#L2394       } ...
+R/utils_input_validation.R#L2396       if ("sample.weights" %in% names(vo ...
+R/utils_input_validation.R#L2399       } ...
+R/utils_input_validation.R#L2401       # Report results ...
+R/utils_input_validation.R#L2402       if (length(issues) > 0) { ...
+R/utils_input_validation.R#L2404           "The voom object failed the st ...
+R/utils_input_validation.R#L2405           paste( ...
+R/utils_input_validation.R#L2408           ), ...
+R/utils_input_validation.R#L2409           call. = FALSE ...
+R/utils_input_validation.R#L2411       } else { ...
+R/utils_input_validation.R#L2413       } ...
+R/utils_input_validation.R#L2436       if (!is.null(meta_batch_column) && ...
+R/utils_input_validation.R#L2438           self$create_error_message( ...
+R/utils_input_validation.R#L2440               "Batch effect column '%s'  ...
+R/utils_input_validation.R#L2441               meta_batch_column, ...
+R/utils_input_validation.R#L2442               "not found in meta" ...
+R/utils_input_validation.R#L2445           ), ...
+R/utils_input_validation.R#L2446           call. = FALSE ...
+R/utils_input_validation.R#L2448       } else if (!is.null(meta_batch_col ...
+R/utils_input_validation.R#L2450           message(sprintf( ...
+R/utils_input_validation.R#L2454               "Column", meta_batch_colum ...
+R/utils_input_validation.R#L2455               "of meta will be used", ...
+R/utils_input_validation.R#L2456               "to remove the batch effec ...
+R/utils_input_validation.R#L2458           )) ...
+R/utils_input_validation.R#L2460           message(sprintf( ...
+R/utils_input_validation.R#L2464           )) ...
+R/utils_input_validation.R#L2466       } else { ...
+R/utils_input_validation.R#L2468           message(sprintf( ...
+R/utils_input_validation.R#L2471           )) ...
+R/utils_input_validation.R#L2473           message("Batch effect will NOT ...
+R/utils_input_validation.R#L2475       } ...
+R/utils_input_validation.R#L2500       # Get the unique times in the orde ...
+R/utils_input_validation.R#L2501       unique_times <- unique(meta[["Time ...
+R/utils_input_validation.R#L2503       # Initialize a list to store previ ...
+R/utils_input_validation.R#L2504       # segment ...
+R/utils_input_validation.R#L2505       seen_conditions <- list() ...
+R/utils_input_validation.R#L2507       # Iterate through each block of un ...
+R/utils_input_validation.R#L2508       for (time in unique_times) { ...
+R/utils_input_validation.R#L2517           stop( ...
+R/utils_input_validation.R#L2519               "Every block of identical  ...
+R/utils_input_validation.R#L2520               "have unique values in the ...
+R/utils_input_validation.R#L2523           ) ...
+R/utils_input_validation.R#L2528           if (current_conditions[1] %in% ...
+R/utils_input_validation.R#L2530               "Condition '%s' for time ' ...
+R/utils_input_validation.R#L2531               current_conditions[1], tim ...
+R/utils_input_validation.R#L2533           } ...
+R/utils_input_validation.R#L2538           seen_conditions[[as.character( ...
+R/utils_input_validation.R#L2541           seen_conditions[[as.character( ...
+R/utils_input_validation.R#L2542           current_conditions[1] ...
+R/utils_input_validation.R#L2544       } ...
+R/utils_input_validation.R#L2546       return(TRUE) ...
+R/utils_input_validation.R#L2548   ) ...
+R/utils_input_validation.R#L2563   public = list( ...
+R/utils_input_validation.R#L2582       if (!is.null(data_meta_index)) { ...
+R/utils_input_validation.R#L2584           "data/meta pair index %d: %s", ...
+R/utils_input_validation.R#L2585           data_meta_index, ...
+R/utils_input_validation.R#L2586           message ...
+R/utils_input_validation.R#L2588       } else { ...
+R/utils_input_validation.R#L2590       } ...
+R/utils_input_validation.R#L2592   ) ...
+R/utils_input_validation.R#L2616   required_elements <- switch(func_type, ...
+R/utils_input_validation.R#L2618       "data", ...
+R/utils_input_validation.R#L2619       "meta", ...
+R/utils_input_validation.R#L2620       "condition", ...
+R/utils_input_validation.R#L2621       "report_info" ...
+R/utils_input_validation.R#L2624       "condition", ...
+R/utils_input_validation.R#L2625       "report_info", ...
+R/utils_input_validation.R#L2626       "padjust_method" ...
+R/utils_input_validation.R#L2629       "data", ...
+R/utils_input_validation.R#L2630       "meta", ...
+R/utils_input_validation.R#L2631       "design", ...
+R/utils_input_validation.R#L2632       "mode", ...
+R/utils_input_validation.R#L2633       "condition", ...
+R/utils_input_validation.R#L2634       "spline_params", ...
+R/utils_input_validation.R#L2635       "padjust_method" ...
+R/utils_input_validation.R#L2638       "limma_splines_result", ...
+R/utils_input_validation.R#L2639       "report_info" ...
+R/utils_input_validation.R#L2642       "data", ...
+R/utils_input_validation.R#L2643       "meta", ...
+R/utils_input_validation.R#L2644       "design", ...
+R/utils_input_validation.R#L2645       "mode", ...
+R/utils_input_validation.R#L2646       "condition", ...
+R/utils_input_validation.R#L2647       "spline_params", ...
+R/utils_input_validation.R#L2648       "limma_splines_result" ...
+R/utils_input_validation.R#L2651   ) ...
+R/utils_input_validation.R#L2653   missing_elements <- required_elements[ ...
+R/utils_input_validation.R#L2655       splineomics[required_elements], ...
+R/utils_input_validation.R#L2656       function(x) !is.null(x), ...
+R/utils_input_validation.R#L2657       logical(1) ...
+R/utils_input_validation.R#L2659   ] ...
+R/utils_input_validation.R#L2661   if (length(missing_elements) > 0) { ...
+R/utils_input_validation.R#L2663       "The following required elements f ...
+R/utils_input_validation.R#L2664       func_type, ...
+R/utils_input_validation.R#L2665       "were not passed to the SplineOmic ...
+R/utils_input_validation.R#L2666       paste( ...
+R/utils_input_validation.R#L2669       ), ...
+R/utils_input_validation.R#L2670       "\nAll required elements for", ...
+R/utils_input_validation.R#L2671       func_type, ...
+R/utils_input_validation.R#L2672       "are:", ...
+R/utils_input_validation.R#L2673       paste( ...
+R/utils_input_validation.R#L2676       ) ...
+R/utils_input_validation.R#L2678   } ...
+R/utils_input_validation.R#L2695   null_elements <- names(args)[vapply(ar ...
+R/utils_input_validation.R#L2697   if (length(null_elements) > 0) { ...
+R/utils_input_validation.R#L2699       paste( ...
+R/utils_input_validation.R#L2702       ), ...
+R/utils_input_validation.R#L2703       call. = FALSE ...
+R/utils_input_validation.R#L2705   } ...
+R/utils_report_generation.R#L81       Sys.time(), ...
+R/utils_report_generation.R#L82       "%d_%m_%Y-%H_%M_%S" ...
+R/utils_report_generation.R#L85   feature_names_formula <- "" ...
+R/utils_report_generation.R#L87   if (report_type == "explore_data") { ...
+R/utils_report_generation.R#L89       title <- "explore data" ...
+R/utils_report_generation.R#L91       title <- "explore batch-corrected  ...
+R/utils_report_generation.R#L93   } else if (report_type == "screen_limm ...
+R/utils_report_generation.R#L95   } else if (report_type == "create_limm ...
+R/utils_report_generation.R#L97   } else if (report_type == "cluster_hit ...
+R/utils_report_generation.R#L100       feature_name_columns, ...
+R/utils_report_generation.R#L101       collapse = "_" ...
+R/utils_report_generation.R#L103   } else if (report_type == "create_gsea ...
 R/utils_report_generation.R#L105   } else { ...
-R/utils_report_generation.R#L107                "create_limma_report, or  ...
-R/utils_report_generation.R#L108          call. = FALSE) ...
-R/utils_report_generation.R#L109   } ...
-R/utils_report_generation.R#L110    ...
-R/utils_report_generation.R#L111   fields_to_format <- c( ...
-R/utils_report_generation.R#L117    ...
-R/utils_report_generation.R#L118   for (field in fields_to_format) { ...
-R/utils_report_generation.R#L120       report_info[[field]] <- format_tex ...
-R/utils_report_generation.R#L122   } ...
-R/utils_report_generation.R#L124   header_text <- paste( ...
-R/utils_report_generation.R#L129   header_text <- paste(header_text, "<br ...
-R/utils_report_generation.R#L130    ...
-R/utils_report_generation.R#L131   header_section <- get_header_section( ...
-R/utils_report_generation.R#L137    ...
-R/utils_report_generation.R#L138   report_info_fields <- c( ...
-R/utils_report_generation.R#L153   download_fields <- c() ...
-R/utils_report_generation.R#L154   if (!is.null(data)) download_fields <- ...
-R/utils_report_generation.R#L158    ...
-R/utils_report_generation.R#L159   if (!all(is.na(meta))) download_fields ...
-R/utils_report_generation.R#L163    ...
-R/utils_report_generation.R#L164   if (!all(is.na(topTables))) download_f ...
-R/utils_report_generation.R#L168    ...
-R/utils_report_generation.R#L169   if (!all(is.na(enrichr_format))) { ...
+R/utils_report_generation.R#L107       paste( ...
+R/utils_report_generation.R#L110       ), ...
+R/utils_report_generation.R#L111       call. = FALSE ...
+R/utils_report_generation.R#L113   } ...
+R/utils_report_generation.R#L115   fields_to_format <- c( ...
+R/utils_report_generation.R#L120   ) ...
+R/utils_report_generation.R#L122   for (field in fields_to_format) { ...
+R/utils_report_generation.R#L124       report_info[[field]] <- format_tex ...
+R/utils_report_generation.R#L126   } ...
+R/utils_report_generation.R#L128   splineomics_version <- utils::packageV ...
+R/utils_report_generation.R#L129   header_text <- paste( ...
+R/utils_report_generation.R#L135   ) ...
+R/utils_report_generation.R#L136   header_text <- paste(header_text, "<br ...
+R/utils_report_generation.R#L138   header_section <- get_header_section( ...
+R/utils_report_generation.R#L143   ) ...
+R/utils_report_generation.R#L145   report_info_fields <- c( ...
+R/utils_report_generation.R#L159   ) ...
+R/utils_report_generation.R#L161   download_fields <- c() ...
+R/utils_report_generation.R#L162   if (!is.null(data)) { ...
+R/utils_report_generation.R#L164       download_fields, ...
+R/utils_report_generation.R#L165       "data_with_annotation" ...
+R/utils_report_generation.R#L167   } ...
+R/utils_report_generation.R#L169   if (!all(is.na(meta))) { ...
 R/utils_report_generation.R#L171       download_fields, ...
-R/utils_report_generation.R#L172       "Enrichr_clustered_genes", ...
-R/utils_report_generation.R#L173       "Enrichr_background" ...
-R/utils_report_generation.R#L174       ) ...
-R/utils_report_generation.R#L175   } ...
-R/utils_report_generation.R#L176    ...
-R/utils_report_generation.R#L177   max_field_length <- max(nchar(gsub("_" ...
-R/utils_report_generation.R#L178    ...
-R/utils_report_generation.R#L179   report_info_section <- paste( ...
-R/utils_report_generation.R#L185    ...
-R/utils_report_generation.R#L186   downloads_section <- paste( ...
-R/utils_report_generation.R#L191   for (field in report_info_fields) { ...
-R/utils_report_generation.R#L193       field, ...
-R/utils_report_generation.R#L194       data, ...
-R/utils_report_generation.R#L195       meta, ...
-R/utils_report_generation.R#L196       topTables, ...
-R/utils_report_generation.R#L197       report_info, ...
-R/utils_report_generation.R#L198       encode_df_to_base64, ...
-R/utils_report_generation.R#L199       report_type,  ...
-R/utils_report_generation.R#L200       enrichr_format ...
-R/utils_report_generation.R#L201       ) ...
-R/utils_report_generation.R#L205       report_info_section, ...
-R/utils_report_generation.R#L206       sprintf('<tr><td style="text-align ...
-R/utils_report_generation.R#L207            color:blue; padding-right: 5p ...
-R/utils_report_generation.R#L208            :</td><td>%s</td></tr>', ...
-R/utils_report_generation.R#L209              field_display, base64_df), ...
-R/utils_report_generation.R#L210       sep = "\n" ...
-R/utils_report_generation.R#L211       ) ...
-R/utils_report_generation.R#L212   } ...
-R/utils_report_generation.R#L213    ...
-R/utils_report_generation.R#L214   # Close the Report Info table ...
-R/utils_report_generation.R#L215   report_info_section <- paste(report_in ...
-R/utils_report_generation.R#L216    ...
-R/utils_report_generation.R#L217   for (field in download_fields) { ...
-R/utils_report_generation.R#L220       field, ...
-R/utils_report_generation.R#L221       data, ...
-R/utils_report_generation.R#L222       meta, ...
-R/utils_report_generation.R#L223       topTables, ...
-R/utils_report_generation.R#L224       report_info, ...
-R/utils_report_generation.R#L225       encode_df_to_base64, ...
-R/utils_report_generation.R#L226       report_type, ...
-R/utils_report_generation.R#L227       enrichr_format ...
-R/utils_report_generation.R#L228       ) ...
-R/utils_report_generation.R#L232       downloads_section, ...
-R/utils_report_generation.R#L233       sprintf('<tr><td style="text-align ...
-R/utils_report_generation.R#L234            color:blue; padding-right: 5p ...
-R/utils_report_generation.R#L235            :</td><td>%s</td></tr>', ...
-R/utils_report_generation.R#L236              field_display, base64_df), ...
-R/utils_report_generation.R#L237       sep = "\n" ...
-R/utils_report_generation.R#L238       ) ...
-R/utils_report_generation.R#L239   } ...
-R/utils_report_generation.R#L240    ...
-R/utils_report_generation.R#L241   # Close the Downloads table ...
-R/utils_report_generation.R#L242   downloads_section <- paste(downloads_s ...
-R/utils_report_generation.R#L243    ...
-R/utils_report_generation.R#L244   # Preserve initial header_section cont ...
-R/utils_report_generation.R#L245   header_section <- paste( ...
-R/utils_report_generation.R#L250    ...
-R/utils_report_generation.R#L251    ...
-R/utils_report_generation.R#L252   if (report_type == "create_gsea_report ...
-R/utils_report_generation.R#L255       header_section,  ...
-R/utils_report_generation.R#L256       "<p style='font-size: 20px;'>Datab ...
-R/utils_report_generation.R#L257       databases_text,  ...
-R/utils_report_generation.R#L258       "</p>",  ...
-R/utils_report_generation.R#L259       sep = "\n" ...
-R/utils_report_generation.R#L260       ) ...
-R/utils_report_generation.R#L261   } ...
-R/utils_report_generation.R#L262    ...
-R/utils_report_generation.R#L263   file_name <- sprintf( ...
-R/utils_report_generation.R#L269    ...
-R/utils_report_generation.R#L270   output_file_path <- here::here(report_ ...
-R/utils_report_generation.R#L271    ...
-R/utils_report_generation.R#L272   if (report_type == "explore_data") { ...
-R/utils_report_generation.R#L275       header_section = header_section,  ...
-R/utils_report_generation.R#L276       plots = plots,  ...
-R/utils_report_generation.R#L277       plots_sizes = plots_sizes, ...
-R/utils_report_generation.R#L278       report_info = report_info, ...
-R/utils_report_generation.R#L279       output_file_path = output_file_pat ...
-R/utils_report_generation.R#L280       ) ...
-R/utils_report_generation.R#L282   } else if (report_type == "screen_limm ...
-R/utils_report_generation.R#L285       header_section = header_section,  ...
-R/utils_report_generation.R#L286       plots = plots,  ...
-R/utils_report_generation.R#L287       plots_sizes = plots_sizes,  ...
-R/utils_report_generation.R#L288       report_info = report_info, ...
-R/utils_report_generation.R#L289       output_file_path = output_file_pat ...
-R/utils_report_generation.R#L290       ) ...
-R/utils_report_generation.R#L292   } else if (report_type == "create_limm ...
-R/utils_report_generation.R#L295       header_section = header_section, ...
-R/utils_report_generation.R#L296       plots = plots, ...
-R/utils_report_generation.R#L297       plots_sizes = plots_sizes, ...
-R/utils_report_generation.R#L298       level_headers_info = level_headers ...
-R/utils_report_generation.R#L299       report_info = report_info, ...
-R/utils_report_generation.R#L300       output_file_path = output_file_pat ...
-R/utils_report_generation.R#L301       ) ...
-R/utils_report_generation.R#L303   } else if (report_type == "create_gsea ...
+R/utils_report_generation.R#L172       "meta" ...
+R/utils_report_generation.R#L174   } ...
+R/utils_report_generation.R#L176   if (!all(is.na(topTables))) { ...
+R/utils_report_generation.R#L178       download_fields, ...
+R/utils_report_generation.R#L179       if (report_type == "cluster_hits") ...
+R/utils_report_generation.R#L181       } else { ...
+R/utils_report_generation.R#L183       } ...
+R/utils_report_generation.R#L185   } ...
+R/utils_report_generation.R#L188   if (!all(is.na(enrichr_format))) { ...
+R/utils_report_generation.R#L190       download_fields, ...
+R/utils_report_generation.R#L191       "Enrichr_clustered_genes", ...
+R/utils_report_generation.R#L192       "Enrichr_background" ...
+R/utils_report_generation.R#L194   } ...
+R/utils_report_generation.R#L196   max_field_length <- max(nchar(gsub("_" ...
+R/utils_report_generation.R#L198   report_info_section <- paste( ...
+R/utils_report_generation.R#L204   ) ...
+R/utils_report_generation.R#L206   downloads_section <- paste( ...
+R/utils_report_generation.R#L209   ) ...
+R/utils_report_generation.R#L211   report_info[["mode"]] <- mode # Becaus ...
+R/utils_report_generation.R#L213   for (field in report_info_fields) { ...
+R/utils_report_generation.R#L215       field, ...
+R/utils_report_generation.R#L216       data, ...
+R/utils_report_generation.R#L217       meta, ...
+R/utils_report_generation.R#L218       topTables, ...
+R/utils_report_generation.R#L219       report_info, ...
+R/utils_report_generation.R#L220       encode_df_to_base64, ...
+R/utils_report_generation.R#L221       report_type, ...
+R/utils_report_generation.R#L222       enrichr_format ...
+R/utils_report_generation.R#L226       "%-*s", ...
+R/utils_report_generation.R#L227       max_field_length, ...
+R/utils_report_generation.R#L228       gsub("_", " ", field) ...
+R/utils_report_generation.R#L232       report_info_section, ...
+R/utils_report_generation.R#L233       sprintf( ...
+R/utils_report_generation.R#L235            color:blue; padding-right: 5p ...
+R/utils_report_generation.R#L236            :</td><td>%s</td></tr>', ...
+R/utils_report_generation.R#L238       ), ...
+R/utils_report_generation.R#L239       sep = "\n" ...
+R/utils_report_generation.R#L241   } ...
+R/utils_report_generation.R#L243   # Close the Report Info table ...
+R/utils_report_generation.R#L244   report_info_section <- paste(report_in ...
+R/utils_report_generation.R#L246   download_fields <- c(download_fields,  ...
+R/utils_report_generation.R#L247   for (field in download_fields) { ...
+R/utils_report_generation.R#L249       field, ...
+R/utils_report_generation.R#L250       data, ...
+R/utils_report_generation.R#L251       meta, ...
+R/utils_report_generation.R#L252       topTables, ...
+R/utils_report_generation.R#L253       report_info, ...
+R/utils_report_generation.R#L254       encode_df_to_base64, ...
+R/utils_report_generation.R#L255       report_type, ...
+R/utils_report_generation.R#L256       enrichr_format ...
+R/utils_report_generation.R#L261       downloads_section, ...
+R/utils_report_generation.R#L262       sprintf( ...
+R/utils_report_generation.R#L264            color:blue; padding-right: 5p ...
+R/utils_report_generation.R#L265            :</td><td>%s</td></tr>', ...
+R/utils_report_generation.R#L267       ), ...
+R/utils_report_generation.R#L268       sep = "\n" ...
+R/utils_report_generation.R#L270   } ...
+R/utils_report_generation.R#L272   # Close the Downloads table ...
+R/utils_report_generation.R#L273   downloads_section <- paste(downloads_s ...
+R/utils_report_generation.R#L275   # Preserve initial header_section cont ...
+R/utils_report_generation.R#L276   header_section <- paste( ...
+R/utils_report_generation.R#L281   ) ...
+R/utils_report_generation.R#L284   if (report_type == "create_gsea_report ...
+R/utils_report_generation.R#L287       header_section, ...
+R/utils_report_generation.R#L288       "<p style='font-size: 20px;'>Datab ...
+R/utils_report_generation.R#L289       databases_text, ...
+R/utils_report_generation.R#L290       "</p>", ...
+R/utils_report_generation.R#L291       sep = "\n" ...
+R/utils_report_generation.R#L293   } ...
+R/utils_report_generation.R#L295   file_name <- sprintf( ...
+R/utils_report_generation.R#L300   ) ...
+R/utils_report_generation.R#L302   output_file_path <- here::here(report_ ...
+R/utils_report_generation.R#L304   if (report_type == "explore_data") { ...
 R/utils_report_generation.R#L306       header_section = header_section, ...
 R/utils_report_generation.R#L307       plots = plots, ...
 R/utils_report_generation.R#L308       plots_sizes = plots_sizes, ...
-R/utils_report_generation.R#L309       level_headers_info = level_headers ...
-R/utils_report_generation.R#L310       report_info = report_info, ...
-R/utils_report_generation.R#L311       output_file_path = output_file_pat ...
-R/utils_report_generation.R#L312       ) ...
-R/utils_report_generation.R#L314   } else {           # report_type == "c ...
-R/utils_report_generation.R#L316       header_section = header_section,  ...
-R/utils_report_generation.R#L317       plots = plots,  ...
-R/utils_report_generation.R#L318       limma_result_2_and_3_plots = limma ...
-R/utils_report_generation.R#L319       plots_sizes = plots_sizes, ...
-R/utils_report_generation.R#L320       level_headers_info = level_headers ...
-R/utils_report_generation.R#L321       spline_params = spline_params, ...
-R/utils_report_generation.R#L322       adj_pthresholds = adj_pthresholds, ...
-R/utils_report_generation.R#L323       mode = mode, ...
-R/utils_report_generation.R#L324       report_info = report_info, ...
-R/utils_report_generation.R#L325       output_file_path = output_file_pat ...
-R/utils_report_generation.R#L326       ) ...
-R/utils_report_generation.R#L327   } ...
-R/utils_report_generation.R#L352    ...
-R/utils_report_generation.R#L353   output_file_path <- normalizePath( ...
-R/utils_report_generation.R#L357    ...
-R/utils_report_generation.R#L358   # Close the Table of Contents ...
-R/utils_report_generation.R#L359   toc <- paste( ...
-R/utils_report_generation.R#L364    ...
-R/utils_report_generation.R#L365   # Insert the Table of Contents at the  ...
-R/utils_report_generation.R#L366   html_content <- gsub( ...
-R/utils_report_generation.R#L371    ...
-R/utils_report_generation.R#L372   # Append a horizontal line after the T ...
-R/utils_report_generation.R#L373   html_content <- gsub( ...
-R/utils_report_generation.R#L378    ...
-R/utils_report_generation.R#L379   # Path to the external JavaScript file ...
-R/utils_report_generation.R#L380   js_file_path <- normalizePath( ...
-R/utils_report_generation.R#L382       "www/hotkeys.js", ...
-R/utils_report_generation.R#L383       package = "SplineOmics" ...
-R/utils_report_generation.R#L384       ), ...
-R/utils_report_generation.R#L387   if (js_file_path == "") { ...
-R/utils_report_generation.R#L389   } ...
-R/utils_report_generation.R#L390    ...
-R/utils_report_generation.R#L391   # Read the JavaScript file and replace ...
-R/utils_report_generation.R#L392   js_content <- readLines( ...
-R/utils_report_generation.R#L396   js_content <- gsub( ...
-R/utils_report_generation.R#L401   js_content <- gsub( ...
-R/utils_report_generation.R#L406    ...
-R/utils_report_generation.R#L407   # Read the content of JSZip and FileSa ...
-R/utils_report_generation.R#L408   jszip_path <- normalizePath( ...
-R/utils_report_generation.R#L410       "www/jszip.min.js", ...
-R/utils_report_generation.R#L411       package = "SplineOmics" ...
-R/utils_report_generation.R#L412       ), ...
-R/utils_report_generation.R#L415   filesaver_path <- normalizePath( ...
-R/utils_report_generation.R#L417       "www/FileSaver.min.js", ...
-R/utils_report_generation.R#L418       package = "SplineOmics" ...
-R/utils_report_generation.R#L419       ), ...
-R/utils_report_generation.R#L422    ...
-R/utils_report_generation.R#L423   if (!file.exists(jszip_path)) { ...
-R/utils_report_generation.R#L425   } ...
-R/utils_report_generation.R#L426   if (!file.exists(filesaver_path)) { ...
-R/utils_report_generation.R#L428   } ...
-R/utils_report_generation.R#L429    ...
-R/utils_report_generation.R#L430   jszip_content <- readLines( ...
-R/utils_report_generation.R#L435   filesaver_content <- readLines( ...
-R/utils_report_generation.R#L440    ...
-R/utils_report_generation.R#L441   # Combine all JavaScript content ...
-R/utils_report_generation.R#L442   combined_js_content <- c( ...
-R/utils_report_generation.R#L448   ) ...
-R/utils_report_generation.R#L449    ...
-R/utils_report_generation.R#L450   # Properly escape special characters i ...
-R/utils_report_generation.R#L451   combined_js_content <- paste( ...
-R/utils_report_generation.R#L455   combined_js_content <- gsub( ...
-R/utils_report_generation.R#L460   combined_js_content <- gsub(    # Esca ...
-R/utils_report_generation.R#L465    ...
-R/utils_report_generation.R#L466   # Embed the combined JavaScript conten ...
-R/utils_report_generation.R#L467   script_tag <- paste( ...
-R/utils_report_generation.R#L471   html_content <- gsub( ...
-R/utils_report_generation.R#L474       script_tag, ...
-R/utils_report_generation.R#L475       "</body>", ...
-R/utils_report_generation.R#L476       sep = "\n" ...
-R/utils_report_generation.R#L477       ), ...
-R/utils_report_generation.R#L480    ...
-R/utils_report_generation.R#L481   # Append the final closing tags for th ...
-R/utils_report_generation.R#L482   html_content <- paste( ...
-R/utils_report_generation.R#L487    ...
-R/utils_report_generation.R#L488   # Ensure the directory exists ...
-R/utils_report_generation.R#L489   dir_path <- dirname(output_file_path) ...
-R/utils_report_generation.R#L490   if (!dir.exists(dir_path)) { ...
-R/utils_report_generation.R#L492   } ...
-R/utils_report_generation.R#L493    ...
-R/utils_report_generation.R#L494   con <- file( ...
-R/utils_report_generation.R#L499   writeLines( ...
-R/utils_report_generation.R#L504   close(con) ...
-R/utils_report_generation.R#L523    ...
-R/utils_report_generation.R#L524   file_path <- system.file( ...
-R/utils_report_generation.R#L529   content <- readLines( ...
-R/utils_report_generation.R#L533   # Split the content by the delimiter ...
-R/utils_report_generation.R#L534   strsplit(content, "\\|")[[1]] ...
-R/utils_report_generation.R#L556   letters <- strsplit(text, "")[[1]] ...
-R/utils_report_generation.R#L557   formatted_lines <- vector(mode = "char ...
-R/utils_report_generation.R#L558   current_line <- "" ...
-R/utils_report_generation.R#L559   for (char in letters) { ...
-R/utils_report_generation.R#L561       current_line <- paste(current_line ...
-R/utils_report_generation.R#L563       formatted_lines <- c(formatted_lin ...
-R/utils_report_generation.R#L564       current_line <- char ...
-R/utils_report_generation.R#L566   } ...
-R/utils_report_generation.R#L567   formatted_lines <- c(formatted_lines,  ...
-R/utils_report_generation.R#L568   formatted_text <- paste(formatted_line ...
-R/utils_report_generation.R#L607   if (feature_names_formula == "") { ...
-R/utils_report_generation.R#L609   } ...
-R/utils_report_generation.R#L610    ...
-R/utils_report_generation.R#L611   if (Sys.getenv("DEVTOOLS_LOAD") == "tr ...
-R/utils_report_generation.R#L613       "inst", ...
-R/utils_report_generation.R#L614       "logos", ...
-R/utils_report_generation.R#L615       "SplineOmics_logo.png" ...
-R/utils_report_generation.R#L616       ) ...
-R/utils_report_generation.R#L617   } else { ...
-R/utils_report_generation.R#L619       "logos", ...
-R/utils_report_generation.R#L620       "SplineOmics_logo.png", ...
-R/utils_report_generation.R#L621       package = "SplineOmics" ...
-R/utils_report_generation.R#L622       ) ...
-R/utils_report_generation.R#L623   } ...
-R/utils_report_generation.R#L624    ...
-R/utils_report_generation.R#L625   logo_base64 <- base64enc::dataURI(file ...
-R/utils_report_generation.R#L627   header_section <- paste( ...
-R/utils_report_generation.R#L666   ) ...
-R/utils_report_generation.R#L667    ...
-R/utils_report_generation.R#L668   note <- switch( ...
-R/utils_report_generation.R#L671       '<div style="border: 2px solid #f0 ...
-R/utils_report_generation.R#L672       'position: relative; margin-bottom ...
-R/utils_report_generation.R#L673       'background-color: #fee; font-fami ...
-R/utils_report_generation.R#L674       'sans-serif; width: 65%;">', ...
-R/utils_report_generation.R#L675       '<div style="position: absolute; t ...
-R/utils_report_generation.R#L676       'right: -25px; transform: rotate(4 ...
-R/utils_report_generation.R#L677       'background-color: #f00; color: #f ...
-R/utils_report_generation.R#L678       'padding: 10px 15px; font-size: 2e ...
-R/utils_report_generation.R#L679       'font-weight: bold; z-index: 1;">N ...
-R/utils_report_generation.R#L680       '<p style="font-size: 2em;">', ...
-R/utils_report_generation.R#L681       "This HTML report contains the exp ...
-R/utils_report_generation.R#L682       "data analysis plots, (e.g. densit ...
-R/utils_report_generation.R#L683       "any plot in this report to save i ...
-R/utils_report_generation.R#L684       '</div>' ...
-R/utils_report_generation.R#L685       ), ...
-R/utils_report_generation.R#L688       '<div style="border: 2px solid #f0 ...
-R/utils_report_generation.R#L689       'margin-bottom: 20px; background-c ...
-R/utils_report_generation.R#L690       'sans-serif; width: 65%;">', ...
-R/utils_report_generation.R#L691       '<div style="position: absolute; t ...
-R/utils_report_generation.R#L692       'rotate(45deg); background-color:  ...
-R/utils_report_generation.R#L693       'font-size: 2em; font-weight: bold ...
-R/utils_report_generation.R#L694       '<p style="font-size: 2em;">', ...
-R/utils_report_generation.R#L695       "This HTML report contains plots v ...
-R/utils_report_generation.R#L696       "the limma topTables. <br> Right-c ...
-R/utils_report_generation.R#L697       "any plot in this report to save i ...
-R/utils_report_generation.R#L698       '<br><br>To understand the three l ...
-R/utils_report_generation.R#L699       'report, please <a href="',  ...
-R/utils_report_generation.R#L700       system.file( ...
-R/utils_report_generation.R#L705       '" download>download and review th ...
-R/utils_report_generation.R#L706       The grey shaded areas of the plots ...
-R/utils_report_generation.R#L707       non-significant features!</p>', ...
-R/utils_report_generation.R#L708       '</div>' ...
-R/utils_report_generation.R#L711       '<div style="border: 2px solid #f0 ...
-R/utils_report_generation.R#L712       'position: relative; margin-bottom ...
-R/utils_report_generation.R#L713       'background-color: #fee; font-fami ...
-R/utils_report_generation.R#L714       '<div style="position: absolute; t ...
-R/utils_report_generation.R#L715       'right: -27px; transform: rotate(4 ...
-R/utils_report_generation.R#L716       'background-color: #f00; color: #f ...
-R/utils_report_generation.R#L717       '10px 15px; font-size: 2em; font-w ...
-R/utils_report_generation.R#L718       'z-index: 1;">Note!</div>', ...
-R/utils_report_generation.R#L719       '<p style="font-size: 2em;">', ...
-R/utils_report_generation.R#L720       "Clustering of features that show" ...
-R/utils_report_generation.R#L721       "significant changes over time (=  ...
-R/utils_report_generation.R#L722       "Clustering was done based on the  ...
-R/utils_report_generation.R#L723       "of the spline.<br> For this, the  ...
-R/utils_report_generation.R#L724       "topTable are used to generate 100 ...
-R/utils_report_generation.R#L725       "These  datapoints are used for hi ...
-R/utils_report_generation.R#L726       "Right-click on  any plot in this  ...
-R/utils_report_generation.R#L727       ".svg (vector graphic) file! <br>  ...
-R/utils_report_generation.R#L728       "the experiment is not shown, it m ...
-R/utils_report_generation.R#L729       "</p>", ...
-R/utils_report_generation.R#L730       paste( ...
-R/utils_report_generation.R#L737       ), ...
-R/utils_report_generation.R#L738       '</div>' ...
-R/utils_report_generation.R#L739       ), ...
-R/utils_report_generation.R#L742   hotkeys_box <- paste( ...
-R/utils_report_generation.R#L762   ) ...
-R/utils_report_generation.R#L763    ...
-R/utils_report_generation.R#L764    ...
-R/utils_report_generation.R#L765   header_section <- paste( ...
+R/utils_report_generation.R#L309       report_info = report_info, ...
+R/utils_report_generation.R#L310       output_file_path = output_file_pat ...
+R/utils_report_generation.R#L312   } else if (report_type == "screen_limm ...
+R/utils_report_generation.R#L314       header_section = header_section, ...
+R/utils_report_generation.R#L315       plots = plots, ...
+R/utils_report_generation.R#L316       plots_sizes = plots_sizes, ...
+R/utils_report_generation.R#L317       report_info = report_info, ...
+R/utils_report_generation.R#L318       output_file_path = output_file_pat ...
+R/utils_report_generation.R#L320   } else if (report_type == "create_limm ...
+R/utils_report_generation.R#L322       header_section = header_section, ...
+R/utils_report_generation.R#L323       plots = plots, ...
+R/utils_report_generation.R#L324       plots_sizes = plots_sizes, ...
+R/utils_report_generation.R#L325       level_headers_info = level_headers ...
+R/utils_report_generation.R#L326       report_info = report_info, ...
+R/utils_report_generation.R#L327       output_file_path = output_file_pat ...
+R/utils_report_generation.R#L329   } else if (report_type == "create_gsea ...
+R/utils_report_generation.R#L331       header_section = header_section, ...
+R/utils_report_generation.R#L332       plots = plots, ...
+R/utils_report_generation.R#L333       plots_sizes = plots_sizes, ...
+R/utils_report_generation.R#L334       level_headers_info = level_headers ...
+R/utils_report_generation.R#L335       report_info = report_info, ...
+R/utils_report_generation.R#L336       output_file_path = output_file_pat ...
+R/utils_report_generation.R#L338   } else { # report_type == "cluster_hit ...
+R/utils_report_generation.R#L340       header_section = header_section, ...
+R/utils_report_generation.R#L341       plots = plots, ...
+R/utils_report_generation.R#L342       limma_result_2_and_3_plots = limma ...
+R/utils_report_generation.R#L343       plots_sizes = plots_sizes, ...
+R/utils_report_generation.R#L344       level_headers_info = level_headers ...
+R/utils_report_generation.R#L345       spline_params = spline_params, ...
+R/utils_report_generation.R#L346       adj_pthresholds = adj_pthresholds, ...
+R/utils_report_generation.R#L347       adj_pthresh_avrg_diff_conditions = ...
+R/utils_report_generation.R#L348       adj_pthresh_interaction_condition_ ...
+R/utils_report_generation.R#L350       mode = mode, ...
+R/utils_report_generation.R#L351       report_info = report_info, ...
+R/utils_report_generation.R#L352       output_file_path = output_file_pat ...
+R/utils_report_generation.R#L354   } ...
+R/utils_report_generation.R#L378   output_file_path <- normalizePath( ...
+R/utils_report_generation.R#L381   ) ...
+R/utils_report_generation.R#L383   # Close the Table of Contents ...
+R/utils_report_generation.R#L384   toc <- paste( ...
+R/utils_report_generation.R#L388   ) ...
+R/utils_report_generation.R#L390   # Insert the Table of Contents at the  ...
+R/utils_report_generation.R#L391   html_content <- gsub( ...
+R/utils_report_generation.R#L395   ) ...
+R/utils_report_generation.R#L397   # Append a horizontal line after the T ...
+R/utils_report_generation.R#L398   html_content <- gsub( ...
+R/utils_report_generation.R#L402   ) ...
+R/utils_report_generation.R#L404   # Path to the external JavaScript file ...
+R/utils_report_generation.R#L405   js_file_path <- normalizePath( ...
+R/utils_report_generation.R#L407       "www/hotkeys.js", ...
+R/utils_report_generation.R#L408       package = "SplineOmics" ...
+R/utils_report_generation.R#L411   ) ...
+R/utils_report_generation.R#L412   if (js_file_path == "") { ...
+R/utils_report_generation.R#L414   } ...
+R/utils_report_generation.R#L416   # Read the JavaScript file and replace ...
+R/utils_report_generation.R#L417   js_content <- readLines( ...
+R/utils_report_generation.R#L420   ) ...
+R/utils_report_generation.R#L421   js_content <- gsub( ...
+R/utils_report_generation.R#L425   ) ...
+R/utils_report_generation.R#L426   js_content <- gsub( ...
+R/utils_report_generation.R#L430   ) ...
+R/utils_report_generation.R#L432   # Read the content of JSZip and FileSa ...
+R/utils_report_generation.R#L433   jszip_path <- normalizePath( ...
+R/utils_report_generation.R#L435       "www/jszip.min.js", ...
+R/utils_report_generation.R#L436       package = "SplineOmics" ...
+R/utils_report_generation.R#L439   ) ...
+R/utils_report_generation.R#L440   filesaver_path <- normalizePath( ...
+R/utils_report_generation.R#L442       "www/FileSaver.min.js", ...
+R/utils_report_generation.R#L443       package = "SplineOmics" ...
+R/utils_report_generation.R#L446   ) ...
+R/utils_report_generation.R#L448   if (!file.exists(jszip_path)) { ...
+R/utils_report_generation.R#L450   } ...
+R/utils_report_generation.R#L451   if (!file.exists(filesaver_path)) { ...
+R/utils_report_generation.R#L453   } ...
+R/utils_report_generation.R#L455   jszip_content <- readLines( ...
+R/utils_report_generation.R#L459   ) ...
+R/utils_report_generation.R#L460   filesaver_content <- readLines( ...
+R/utils_report_generation.R#L464   ) ...
+R/utils_report_generation.R#L466   # Combine all JavaScript content ...
+R/utils_report_generation.R#L467   combined_js_content <- c( ...
+R/utils_report_generation.R#L473   ) ...
+R/utils_report_generation.R#L475   # Properly escape special characters i ...
+R/utils_report_generation.R#L476   combined_js_content <- paste( ...
+R/utils_report_generation.R#L479   ) ...
+R/utils_report_generation.R#L480   combined_js_content <- gsub( ...
+R/utils_report_generation.R#L484   ) # Escape backslashes ...
+R/utils_report_generation.R#L485   combined_js_content <- gsub( # Escape  ...
+R/utils_report_generation.R#L489   ) ...
+R/utils_report_generation.R#L491   # Embed the combined JavaScript conten ...
+R/utils_report_generation.R#L492   script_tag <- paste( ...
+R/utils_report_generation.R#L495   ) ...
+R/utils_report_generation.R#L496   html_content <- gsub( ...
+R/utils_report_generation.R#L499       script_tag, ...
+R/utils_report_generation.R#L500       "</body>", ...
+R/utils_report_generation.R#L501       sep = "\n" ...
+R/utils_report_generation.R#L504   ) ...
+R/utils_report_generation.R#L506   # Append the final closing tags for th ...
+R/utils_report_generation.R#L507   html_content <- paste( ...
+R/utils_report_generation.R#L511   ) ...
+R/utils_report_generation.R#L513   # Ensure the directory exists ...
+R/utils_report_generation.R#L514   dir_path <- dirname(output_file_path) ...
+R/utils_report_generation.R#L515   if (!dir.exists(dir_path)) { ...
+R/utils_report_generation.R#L517   } ...
+R/utils_report_generation.R#L519   con <- file( ...
+R/utils_report_generation.R#L523   ) ...
+R/utils_report_generation.R#L524   writeLines( ...
+R/utils_report_generation.R#L528   ) ...
+R/utils_report_generation.R#L529   close(con) ...
+R/utils_report_generation.R#L548   file_path <- system.file( ...
+R/utils_report_generation.R#L552   ) ...
+R/utils_report_generation.R#L553   content <- readLines( ...
+R/utils_report_generation.R#L556   ) |> paste(collapse = " ") ...
+R/utils_report_generation.R#L557   # Split the content by the delimiter ...
+R/utils_report_generation.R#L558   strsplit(content, "\\|")[[1]] ...
+R/utils_report_generation.R#L579   letters <- strsplit(text, "")[[1]] ...
+R/utils_report_generation.R#L580   formatted_lines <- vector(mode = "char ...
+R/utils_report_generation.R#L581   current_line <- "" ...
+R/utils_report_generation.R#L582   for (char in letters) { ...
+R/utils_report_generation.R#L584       current_line <- paste(current_line ...
+R/utils_report_generation.R#L586       formatted_lines <- c(formatted_lin ...
+R/utils_report_generation.R#L587       current_line <- char ...
+R/utils_report_generation.R#L589   } ...
+R/utils_report_generation.R#L590   formatted_lines <- c(formatted_lines,  ...
+R/utils_report_generation.R#L591   formatted_text <- paste(formatted_line ...
+R/utils_report_generation.R#L628   if (feature_names_formula == "") { ...
+R/utils_report_generation.R#L630   } ...
+R/utils_report_generation.R#L632   if (Sys.getenv("DEVTOOLS_LOAD") == "tr ...
+R/utils_report_generation.R#L634       "inst", ...
+R/utils_report_generation.R#L635       "logos", ...
+R/utils_report_generation.R#L636       "SplineOmics_logo.png" ...
+R/utils_report_generation.R#L638   } else { ...
+R/utils_report_generation.R#L640       "logos", ...
+R/utils_report_generation.R#L641       "SplineOmics_logo.png", ...
+R/utils_report_generation.R#L642       package = "SplineOmics" ...
+R/utils_report_generation.R#L644   } ...
+R/utils_report_generation.R#L646   logo_base64 <- base64enc::dataURI(file ...
+R/utils_report_generation.R#L648   header_section <- paste( ...
+R/utils_report_generation.R#L687   ) ...
+R/utils_report_generation.R#L689   note <- switch(report_type, ...
+R/utils_report_generation.R#L691       '<div style="border: 2px solid #f0 ...
+R/utils_report_generation.R#L692       "position: relative; margin-bottom ...
+R/utils_report_generation.R#L693       "background-color: #fee; font-fami ...
+R/utils_report_generation.R#L694       'sans-serif; width: 65%;">', ...
+R/utils_report_generation.R#L695       '<div style="position: absolute; t ...
+R/utils_report_generation.R#L696       "right: -25px; transform: rotate(4 ...
+R/utils_report_generation.R#L697       "background-color: #f00; color: #f ...
+R/utils_report_generation.R#L698       "padding: 10px 15px; font-size: 2e ...
+R/utils_report_generation.R#L699       'font-weight: bold; z-index: 1;">N ...
+R/utils_report_generation.R#L700       '<p style="font-size: 2em;">', ...
+R/utils_report_generation.R#L701       "This HTML report contains the exp ...
+R/utils_report_generation.R#L702       "data analysis plots, (e.g. densit ...
+R/utils_report_generation.R#L703       "any plot in this report to save i ...
+R/utils_report_generation.R#L704       "</div>" ...
+R/utils_report_generation.R#L708       '<div style="border: 2px solid #f0 ...
+R/utils_report_generation.R#L709       "margin-bottom: 20px; background-c ...
+R/utils_report_generation.R#L710       'sans-serif; width: 65%;">', ...
+R/utils_report_generation.R#L711       '<div style="position: absolute; t ...
+R/utils_report_generation.R#L712       "rotate(45deg); background-color:  ...
+R/utils_report_generation.R#L713       'font-size: 2em; font-weight: bold ...
+R/utils_report_generation.R#L714       '<p style="font-size: 2em;">', ...
+R/utils_report_generation.R#L715       "This HTML report contains plots v ...
+R/utils_report_generation.R#L716       "the limma topTables. <br> Right-c ...
+R/utils_report_generation.R#L717       "any plot in this report to save i ...
+R/utils_report_generation.R#L718       "<br><br>To understand the three l ...
+R/utils_report_generation.R#L719       'report, please <a href="', ...
+R/utils_report_generation.R#L720       file.path(system.file( ...
+R/utils_report_generation.R#L724       )), ...
+R/utils_report_generation.R#L725       '" download>download and review th ...
+R/utils_report_generation.R#L726       The grey shaded areas of the plots ...
+R/utils_report_generation.R#L727       non-significant features!</p>', ...
+R/utils_report_generation.R#L728       "</div>" ...
+R/utils_report_generation.R#L731       '<div style="border: 2px solid #f0 ...
+R/utils_report_generation.R#L732       "position: relative; margin-bottom ...
+R/utils_report_generation.R#L733       'background-color: #fee; font-fami ...
+R/utils_report_generation.R#L734       '<div style="position: absolute; t ...
+R/utils_report_generation.R#L735       "right: -27px; transform: rotate(4 ...
+R/utils_report_generation.R#L736       "background-color: #f00; color: #f ...
+R/utils_report_generation.R#L737       "10px 15px; font-size: 2em; font-w ...
+R/utils_report_generation.R#L738       'z-index: 1;">Note!</div>', ...
+R/utils_report_generation.R#L739       '<p style="font-size: 1em;">', ...
+R/utils_report_generation.R#L740       '<ul style="font-size: 2em; paddin ...
+R/utils_report_generation.R#L741       '<li style="margin-bottom: 15px;"> ...
+R/utils_report_generation.R#L742       significant changes over time (= h ...
+R/utils_report_generation.R#L743       '<li style="margin-bottom: 15px;"> ...
+R/utils_report_generation.R#L744       min-max normalized shape of the sp ...
+R/utils_report_generation.R#L745       '<li style="margin-bottom: 15px;"> ...
+R/utils_report_generation.R#L746       the limma topTable are used to gen ...
+R/utils_report_generation.R#L747       0 and 1.</li>', ...
+R/utils_report_generation.R#L748       '<li style="margin-bottom: 15px;"> ...
+R/utils_report_generation.R#L749       hierarchical clustering.</li>', ...
+R/utils_report_generation.R#L750       '<li style="margin-bottom: 15px;"> ...
+R/utils_report_generation.R#L751       report to save it as a .svg (vecto ...
+R/utils_report_generation.R#L752       '<li style="margin-bottom: 15px;"> ...
+R/utils_report_generation.R#L753       not shown, it means it has < 2 hit ...
+R/utils_report_generation.R#L754       '<li style="margin-bottom: 15px;"> ...
+R/utils_report_generation.R#L755       individual spline plots is the ave ...
+R/utils_report_generation.R#L756       all timepoints. For example, a val ...
+R/utils_report_generation.R#L757       on average, have a standard deviat ...
+R/utils_report_generation.R#L758       "</ul>", ...
+R/utils_report_generation.R#L759       "</p>", ...
+R/utils_report_generation.R#L760       "</div>", ...
+R/utils_report_generation.R#L761       paste( ...
+R/utils_report_generation.R#L768       ), ...
+R/utils_report_generation.R#L769       "</div>" ...
 R/utils_report_generation.R#L772   ) ...
-R/utils_report_generation.R#L773    ...
-R/utils_report_generation.R#L774   return(header_section) ...
-R/utils_report_generation.R#L799    ...
-R/utils_report_generation.R#L800   temp_file <- tempfile(fileext = ".xlsx ...
-R/utils_report_generation.R#L801   wb <- openxlsx::createWorkbook() ...
-R/utils_report_generation.R#L802    ...
-R/utils_report_generation.R#L803   if (is.data.frame(df)) { ...
-R/utils_report_generation.R#L807       wb, ...
-R/utils_report_generation.R#L808       sheet_name ...
-R/utils_report_generation.R#L809       ) ...
-R/utils_report_generation.R#L811       wb, ...
-R/utils_report_generation.R#L812       sheet = sheet_name, ...
-R/utils_report_generation.R#L813       df ...
-R/utils_report_generation.R#L814       ) ...
-R/utils_report_generation.R#L815   } else if (is.list(df) && all(sapply(d ...
-R/utils_report_generation.R#L819       if (report_type == "create_gsea_re ...
-R/utils_report_generation.R#L822       } ...
-R/utils_report_generation.R#L824       sheet_names <- make.unique(names(d ...
-R/utils_report_generation.R#L829       openxlsx::addWorksheet( ...
-R/utils_report_generation.R#L833       openxlsx::writeData( ...
-R/utils_report_generation.R#L839   } else { ...
-R/utils_report_generation.R#L842   } ...
-R/utils_report_generation.R#L843    ...
-R/utils_report_generation.R#L844   openxlsx::saveWorkbook( ...
-R/utils_report_generation.R#L849    ...
-R/utils_report_generation.R#L850   # Read the file and encode to base64 ...
-R/utils_report_generation.R#L851   file_content <- readBin( ...
-R/utils_report_generation.R#L856   base64_file <- base64enc::base64encode ...
-R/utils_report_generation.R#L857    ...
-R/utils_report_generation.R#L858   # Determine MIME type ...
-R/utils_report_generation.R#L859   mime_type <-  ...
-R/utils_report_generation.R#L861    ...
-R/utils_report_generation.R#L862   # Create the data URI scheme ...
-R/utils_report_generation.R#L863   data_uri <- paste0( ...
-R/utils_report_generation.R#L869    ...
-R/utils_report_generation.R#L870   # Remove the temporary file ...
-R/utils_report_generation.R#L871   unlink(temp_file) ...
-R/utils_report_generation.R#L872    ...
-R/utils_report_generation.R#L873   return(data_uri) ...
-R/utils_report_generation.R#L912    ...
-R/utils_report_generation.R#L913   additional_height_per_row <- 2.1 ...
-R/utils_report_generation.R#L914   height <- base_height_per_row + (heigh ...
-R/utils_report_generation.R#L915    ...
-R/utils_report_generation.R#L916   # Create a temporary file for the SVG. ...
-R/utils_report_generation.R#L917   # already, but later, after exporting  ...
-R/utils_report_generation.R#L918   # specify the quality. ...
-R/utils_report_generation.R#L919   img_file <- tempfile(fileext = ".svg") ...
-R/utils_report_generation.R#L921   svglite::svglite(file = img_file, widt ...
-R/utils_report_generation.R#L922    ...
-R/utils_report_generation.R#L923   # Draw the plot ...
-R/utils_report_generation.R#L924   print(plot) ...
-R/utils_report_generation.R#L926   # Turn off the device ...
-R/utils_report_generation.R#L927   dev.off() ...
-R/utils_report_generation.R#L928    ...
-R/utils_report_generation.R#L929   # Read the SVG file content ...
-R/utils_report_generation.R#L930   svg_content <- readLines(img_file, war ...
-R/utils_report_generation.R#L931    ...
-R/utils_report_generation.R#L932   # Convert the SVG content to a single  ...
-R/utils_report_generation.R#L933   svg_string <- paste(svg_content, colla ...
-R/utils_report_generation.R#L934    ...
-R/utils_report_generation.R#L935   # Encode the SVG content as base64 ...
-R/utils_report_generation.R#L936   svg_base64 <- base64enc::dataURI( ...
-R/utils_report_generation.R#L940    ...
-R/utils_report_generation.R#L941   # Delete the temporary SVG file ...
-R/utils_report_generation.R#L942   unlink(img_file) ...
-R/utils_report_generation.R#L943    ...
-R/utils_report_generation.R#L944   # Return the HTML img tag with the bas ...
-R/utils_report_generation.R#L945   return( ...
-R/utils_report_generation.R#L947       '<img src="%s" alt="Plot" style="w ...
-R/utils_report_generation.R#L948       svg_base64, html_img_width ...
-R/utils_report_generation.R#L949       ) ...
-R/utils_report_generation.R#L962    ...
-R/utils_report_generation.R#L963   toc <- paste( ...
-R/utils_report_generation.R#L964   "<hr style='border: none; height: 3px; ...
-R/utils_report_generation.R#L965   #333; margin: 40px 0;'>", ...
-R/utils_report_generation.R#L966   "<div id='toc' style='text-align: cent ...
-R/utils_report_generation.R#L967   auto; width: 80%;'>", ...
-R/utils_report_generation.R#L968   "<h2 style='font-size: 60px;'>Table of ...
-R/utils_report_generation.R#L969   "<ul style='display: inline-block; tex ...
-R/utils_report_generation.R#L970   sep = "" ...
-R/utils_report_generation.R#L971   ) ...
-R/utils_report_generation.R#L984    ...
-R/utils_report_generation.R#L985   section_header_style <- "font-size: 70 ...
-R/utils_report_generation.R#L986   toc_style <- "font-size: 40px;" ...
-R/utils_report_generation.R#L987    ...
-R/utils_report_generation.R#L988   styles <- list( ...
-R/utils_report_generation.R#L991   ) ...
-R/utils_report_generation.R#L1018    ...
-R/utils_report_generation.R#L1019   if ( ...
-R/utils_report_generation.R#L1022       element_name, ...
-R/utils_report_generation.R#L1023       "individual_spline_plots" ...
-R/utils_report_generation.R#L1025   ) { ...
-R/utils_report_generation.R#L1032       "<li style='margin-left: 50px; fon ...
-R/utils_report_generation.R#L1033       "<a href='#section", header_index, ...
-R/utils_report_generation.R#L1034       main_title,  ...
-R/utils_report_generation.R#L1035       "</a></li>" ...
-R/utils_report_generation.R#L1038       toc, ...
-R/utils_report_generation.R#L1039       toc_entry, ...
-R/utils_report_generation.R#L1040       sep = "\n" ...
-R/utils_report_generation.R#L1045       '<h2 id="section', ...
-R/utils_report_generation.R#L1046       header_index, ...
-R/utils_report_generation.R#L1047       '" style="text-align: center; marg ...
-R/utils_report_generation.R#L1048       main_title, '</h2>' ...
-R/utils_report_generation.R#L1053       title <- plot$labels$title ...
-R/utils_report_generation.R#L1054       # Remove the title from the plot ( ...
-R/utils_report_generation.R#L1055       plot <- plot + ggplot2::labs(title ...
-R/utils_report_generation.R#L1056        ...
-R/utils_report_generation.R#L1057       base64_plot <- plot2base64(plot, h ...
-R/utils_report_generation.R#L1058        ...
-R/utils_report_generation.R#L1059       list( ...
-R/utils_report_generation.R#L1062       ) ...
-R/utils_report_generation.R#L1067       # Add the title as HTML text ...
-R/utils_report_generation.R#L1068       grid_content <- paste0( ...
-R/utils_report_generation.R#L1072       ) ...
-R/utils_report_generation.R#L1073       # Start a new row for each plot ...
-R/utils_report_generation.R#L1074       grid_content <- paste0( ...
-R/utils_report_generation.R#L1077       ) ...
-R/utils_report_generation.R#L1078       grid_content <- paste0( ...
-R/utils_report_generation.R#L1081       ) ...
-R/utils_report_generation.R#L1082        ...
-R/utils_report_generation.R#L1083       grid_content <- paste0(grid_conten ...
-R/utils_report_generation.R#L1084        ...
-R/utils_report_generation.R#L1085       # Add a horizontal line after each ...
-R/utils_report_generation.R#L1086       grid_content <- paste0( ...
-R/utils_report_generation.R#L1089       ) ...
-R/utils_report_generation.R#L1094       html_content, ...
-R/utils_report_generation.R#L1095       grid_content, ...
-R/utils_report_generation.R#L1096       sep = "\n" ...
-R/utils_report_generation.R#L1098   } else if ( ...
-R/utils_report_generation.R#L1101   ) { ...
-R/utils_report_generation.R#L1104       html_content <- add_plot_to_html( ...
-R/utils_report_generation.R#L1106       ) ...
-R/utils_report_generation.R#L1108   } else { ...
-R/utils_report_generation.R#L1111       html_content, ...
-R/utils_report_generation.R#L1112       plots_element, ...
-R/utils_report_generation.R#L1113       plots_size, ...
-R/utils_report_generation.R#L1114       header_index ...
-R/utils_report_generation.R#L1116   } ...
-R/utils_report_generation.R#L1117    ...
-R/utils_report_generation.R#L1118   return( ...
-R/utils_report_generation.R#L1120       html_content = html_content, ...
-R/utils_report_generation.R#L1121       toc = toc ...
-R/utils_report_generation.R#L1123   ) ...
-R/utils_report_generation.R#L1161    ...
-R/utils_report_generation.R#L1162   if (field == "data_with_annotation")   ...
-R/utils_report_generation.R#L1164       '<a href="%s" download="data.xlsx" ...
-R/utils_report_generation.R#L1165        <button>Download data_with_annota ...
-R/utils_report_generation.R#L1166       encode_df_to_base64(data) ...
-R/utils_report_generation.R#L1169   } else if (field == "meta" && ...
-R/utils_report_generation.R#L1170              !is.null(meta) && ...
-R/utils_report_generation.R#L1171              is.data.frame(meta) && ...
-R/utils_report_generation.R#L1172              !any(is.na(meta))) { ...
-R/utils_report_generation.R#L1174       '<a href="%s" download="meta.xlsx" ...
-R/utils_report_generation.R#L1175        <button>Download meta.xlsx</butto ...
-R/utils_report_generation.R#L1176       encode_df_to_base64(meta) ...
-R/utils_report_generation.R#L1179   } else if (field == "limma_topTables"  ...
-R/utils_report_generation.R#L1181       '<a href="%s" download="limma_topT ...
-R/utils_report_generation.R#L1182        <button>Download limma_topTables. ...
-R/utils_report_generation.R#L1183       encode_df_to_base64(topTables) ...
-R/utils_report_generation.R#L1186   } else if (field == "Enrichr_clustered ...
-R/utils_report_generation.R#L1187              !any(is.na(enrichr_format)) ...
-R/utils_report_generation.R#L1188              !is.null(enrichr_format$gen ...
-R/utils_report_generation.R#L1193       '<a href="data:application/zip;bas ...
-R/utils_report_generation.R#L1194        <button>Download Enrichr_clustere ...
-R/utils_report_generation.R#L1195       zip_base64 ...
-R/utils_report_generation.R#L1198   } else if (field == "Enrichr_backgroun ...
-R/utils_report_generation.R#L1199              !any(is.na(enrichr_format)) ...
-R/utils_report_generation.R#L1200              !is.null(enrichr_format$bac ...
-R/utils_report_generation.R#L1203       '<a href="data:text/plain;base64,% ...
-R/utils_report_generation.R#L1204        <button>Download Enrichr_backgrou ...
-R/utils_report_generation.R#L1205       base64enc::base64encode(charToRaw( ...
-R/utils_report_generation.R#L1208   } else { ...
-R/utils_report_generation.R#L1210       is.null(report_info[[field]]), ...
-R/utils_report_generation.R#L1211       "NA", report_info[[field]] ...
-R/utils_report_generation.R#L1213   } ...
-R/utils_report_generation.R#L1214   return(base64_df) ...
-R/utils_report_generation.R#L1223    ...
-R/utils_report_generation.R#L1224   # Extract substring after 'cluster:' a ...
-R/utils_report_generation.R#L1225   cluster_match <- regmatches( ...
-R/utils_report_generation.R#L1228       "(?<=cluster: )[^,]+", ...
-R/utils_report_generation.R#L1229       input, ...
-R/utils_report_generation.R#L1230       perl = TRUE ...
-R/utils_report_generation.R#L1231       ) ...
-R/utils_report_generation.R#L1233    ...
-R/utils_report_generation.R#L1234   # Extract substring after 'database:' ...
-R/utils_report_generation.R#L1235   database_match <- regmatches( ...
-R/utils_report_generation.R#L1238       "(?<=database: )[^,]+", ...
-R/utils_report_generation.R#L1239       input, ...
-R/utils_report_generation.R#L1240       perl = TRUE ...
-R/utils_report_generation.R#L1241       ) ...
-R/utils_report_generation.R#L1243    ...
-R/utils_report_generation.R#L1244   # Combine the substrings with a whites ...
-R/utils_report_generation.R#L1245   combined <- paste(cluster_match, datab ...
-R/utils_report_generation.R#L1246    ...
-R/utils_report_generation.R#L1247   # Truncate the combined string to 30 c ...
-R/utils_report_generation.R#L1248   if (nchar(combined) > 30) { ...
-R/utils_report_generation.R#L1250   } ...
-R/utils_report_generation.R#L1251    ...
-R/utils_report_generation.R#L1252   return(combined) ...
-R/utils_report_generation.R#L1279    ...
-R/utils_report_generation.R#L1280   temp_dir <- tempfile(pattern = "enrich ...
-R/utils_report_generation.R#L1281   dir.create(temp_dir) ...
-R/utils_report_generation.R#L1282   zip_file <- tempfile(fileext = ".zip") ...
-R/utils_report_generation.R#L1283    ...
-R/utils_report_generation.R#L1284   for (level in names(enrichr_format$gen ...
-R/utils_report_generation.R#L1290        ...
-R/utils_report_generation.R#L1291       cluster_file <- file.path(level_di ...
-R/utils_report_generation.R#L1292       writeLines(enrichr_format$gene_lis ...
-R/utils_report_generation.R#L1294   } ...
-R/utils_report_generation.R#L1295    ...
-R/utils_report_generation.R#L1296   # Create the ZIP file using relative p ...
-R/utils_report_generation.R#L1297   original_wd <- getwd() ...
-R/utils_report_generation.R#L1298   setwd(temp_dir) ...
-R/utils_report_generation.R#L1299   files_to_zip <- list.files(temp_dir, r ...
-R/utils_report_generation.R#L1300   zip::zip(zipfile = zip_file, files = f ...
-R/utils_report_generation.R#L1301   setwd(original_wd) ...
-R/utils_report_generation.R#L1302    ...
-R/utils_report_generation.R#L1303   # Read the ZIP file and encode it to b ...
-R/utils_report_generation.R#L1304   zip_base64 <- base64enc::base64encode( ...
-R/utils_report_generation.R#L1305    ...
-R/utils_report_generation.R#L1306   # Clean up temporary directory and fil ...
-R/utils_report_generation.R#L1307   unlink(temp_dir, recursive = TRUE) ...
-R/utils_report_generation.R#L1308   unlink(zip_file) ...
-R/utils_report_generation.R#L1309    ...
-R/utils_report_generation.R#L1310   return(zip_base64) ...
-R/utils_report_generation.R#L1333   img_tag <- plot2base64( ...
-R/utils_report_generation.R#L1337   paste( ...
-R/utils_report_generation.R#L1344   ) ...
+R/utils_report_generation.R#L774   hotkeys_box <- paste( ...
+R/utils_report_generation.R#L794   ) ...
+R/utils_report_generation.R#L797   header_section <- paste( ...
+R/utils_report_generation.R#L804   ) ...
+R/utils_report_generation.R#L806   return(header_section) ...
+R/utils_report_generation.R#L830   temp_file <- tempfile(fileext = ".xlsx ...
+R/utils_report_generation.R#L831   wb <- openxlsx::createWorkbook() ...
+R/utils_report_generation.R#L833   if (is.data.frame(df)) { ...
+R/utils_report_generation.R#L837       wb, ...
+R/utils_report_generation.R#L838       sheet_name ...
+R/utils_report_generation.R#L841       wb, ...
+R/utils_report_generation.R#L842       sheet = sheet_name, ...
+R/utils_report_generation.R#L843       df ...
+R/utils_report_generation.R#L845   } else if (is.list(df) && all(vapply(d ...
+R/utils_report_generation.R#L849       if (report_type == "create_gsea_re ...
+R/utils_report_generation.R#L852           all_names, ...
+R/utils_report_generation.R#L853           extract_and_combine, ...
+R/utils_report_generation.R#L854           character(1) ...
+R/utils_report_generation.R#L856       } ...
+R/utils_report_generation.R#L858       sheet_names <- make.unique(names(d ...
+R/utils_report_generation.R#L863       openxlsx::addWorksheet( ...
+R/utils_report_generation.R#L866       ) ...
+R/utils_report_generation.R#L867       openxlsx::writeData( ...
+R/utils_report_generation.R#L871       ) ...
+R/utils_report_generation.R#L873   } else { ...
+R/utils_report_generation.R#L875   } ...
+R/utils_report_generation.R#L877   openxlsx::saveWorkbook( ...
+R/utils_report_generation.R#L881   ) ...
+R/utils_report_generation.R#L883   # Read the file and encode to base64 ...
+R/utils_report_generation.R#L884   file_content <- readBin( ...
+R/utils_report_generation.R#L888   ) ...
+R/utils_report_generation.R#L889   base64_file <- base64enc::base64encode ...
+R/utils_report_generation.R#L891   # Determine MIME type ...
+R/utils_report_generation.R#L892   mime_type <- ...
+R/utils_report_generation.R#L895   # Create the data URI scheme ...
+R/utils_report_generation.R#L896   data_uri <- paste0( ...
+R/utils_report_generation.R#L901   ) ...
+R/utils_report_generation.R#L903   # Remove the temporary file ...
+R/utils_report_generation.R#L904   unlink(temp_file) ...
+R/utils_report_generation.R#L906   return(data_uri) ...
+R/utils_report_generation.R#L944   additional_height_per_row <- 2.1 ...
+R/utils_report_generation.R#L945   height <- base_height_per_row + (heigh ...
+R/utils_report_generation.R#L947   # Create a temporary file for the SVG. ...
+R/utils_report_generation.R#L948   # already, but later, after exporting  ...
+R/utils_report_generation.R#L949   # specify the quality. ...
+R/utils_report_generation.R#L950   img_file <- tempfile(fileext = ".svg") ...
+R/utils_report_generation.R#L952   svglite::svglite(file = img_file, widt ...
+R/utils_report_generation.R#L954   # Draw the plot ...
+R/utils_report_generation.R#L955   print(plot) ...
+R/utils_report_generation.R#L957   # Turn off the device ...
+R/utils_report_generation.R#L958   dev.off() ...
+R/utils_report_generation.R#L960   # Read the SVG file content ...
+R/utils_report_generation.R#L961   svg_content <- readLines(img_file, war ...
+R/utils_report_generation.R#L963   # Convert the SVG content to a single  ...
+R/utils_report_generation.R#L964   svg_string <- paste(svg_content, colla ...
+R/utils_report_generation.R#L966   # Encode the SVG content as base64 ...
+R/utils_report_generation.R#L967   svg_base64 <- base64enc::dataURI( ...
+R/utils_report_generation.R#L970   ) ...
+R/utils_report_generation.R#L972   # Delete the temporary SVG file ...
+R/utils_report_generation.R#L973   unlink(img_file) ...
+R/utils_report_generation.R#L975   # Return the HTML img tag with the bas ...
+R/utils_report_generation.R#L976   return( ...
+R/utils_report_generation.R#L978       '<img src="%s" alt="Plot" style="w ...
+R/utils_report_generation.R#L979       svg_base64, html_img_width ...
+R/utils_report_generation.R#L981   ) ...
+R/utils_report_generation.R#L993   toc <- paste( ...
+R/utils_report_generation.R#L995   #333; margin: 40px 0;'>", ...
+R/utils_report_generation.R#L997   auto; width: 80%;'>", ...
+R/utils_report_generation.R#L1001   ) ...
+R/utils_report_generation.R#L1014   section_header_style <- "font-size: 70 ...
+R/utils_report_generation.R#L1015   toc_style <- "font-size: 40px;" ...
+R/utils_report_generation.R#L1017   styles <- list( ...
+R/utils_report_generation.R#L1020   ) ...
+R/utils_report_generation.R#L1046   if ( ...
+R/utils_report_generation.R#L1048       startsWith( ...
+R/utils_report_generation.R#L1051       ) ...
+R/utils_report_generation.R#L1052   ) { ...
+R/utils_report_generation.R#L1058       "<li style='margin-left: 50px; fon ...
+R/utils_report_generation.R#L1059       "<a href='#section", header_index, ...
+R/utils_report_generation.R#L1060       main_title, ...
+R/utils_report_generation.R#L1061       "</a></li>" ...
+R/utils_report_generation.R#L1064       toc, ...
+R/utils_report_generation.R#L1065       toc_entry, ...
+R/utils_report_generation.R#L1066       sep = "\n" ...
+R/utils_report_generation.R#L1071       '<h2 id="section', ...
+R/utils_report_generation.R#L1072       header_index, ...
+R/utils_report_generation.R#L1073       '" style="text-align: center; marg ...
+R/utils_report_generation.R#L1074       main_title, "</h2>" ...
+R/utils_report_generation.R#L1079       title <- plot$labels$title ...
+R/utils_report_generation.R#L1080       # Remove the title from the plot ( ...
+R/utils_report_generation.R#L1081       plot <- plot + ggplot2::labs(title ...
+R/utils_report_generation.R#L1083       base64_plot <- plot2base64(plot, h ...
+R/utils_report_generation.R#L1085       list( ...
+R/utils_report_generation.R#L1088       ) ...
+R/utils_report_generation.R#L1093       # Add the title as HTML text ...
+R/utils_report_generation.R#L1094       grid_content <- paste0( ...
+R/utils_report_generation.R#L1098       ) ...
+R/utils_report_generation.R#L1099       # Start a new row for each plot ...
+R/utils_report_generation.R#L1100       grid_content <- paste0( ...
+R/utils_report_generation.R#L1103       ) ...
+R/utils_report_generation.R#L1104       grid_content <- paste0( ...
+R/utils_report_generation.R#L1107       ) ...
+R/utils_report_generation.R#L1109       grid_content <- paste0(grid_conten ...
+R/utils_report_generation.R#L1111       # Add a horizontal line after each ...
+R/utils_report_generation.R#L1112       grid_content <- paste0( ...
+R/utils_report_generation.R#L1115       ) ...
+R/utils_report_generation.R#L1120       html_content, ...
+R/utils_report_generation.R#L1121       grid_content, ...
+R/utils_report_generation.R#L1122       sep = "\n" ...
+R/utils_report_generation.R#L1124   } else if ( ...
+R/utils_report_generation.R#L1126       element_name == "cluster_mean_spli ...
+R/utils_report_generation.R#L1127   ) { ...
+R/utils_report_generation.R#L1130       html_content <- add_plot_to_html( ...
+R/utils_report_generation.R#L1132       ) ...
+R/utils_report_generation.R#L1134   } else { ...
+R/utils_report_generation.R#L1137       html_content, ...
+R/utils_report_generation.R#L1138       plots_element, ...
+R/utils_report_generation.R#L1139       plots_size, ...
+R/utils_report_generation.R#L1140       header_index ...
+R/utils_report_generation.R#L1142   } ...
+R/utils_report_generation.R#L1144   return( ...
+R/utils_report_generation.R#L1146       html_content = html_content, ...
+R/utils_report_generation.R#L1147       toc = toc ...
+R/utils_report_generation.R#L1149   ) ...
+R/utils_report_generation.R#L1186   if (field == "data_with_annotation") { ...
+R/utils_report_generation.R#L1188       '<a href="%s" download="data.xlsx" ...
+R/utils_report_generation.R#L1189        <button>Download data_with_annota ...
+R/utils_report_generation.R#L1190       encode_df_to_base64(data) ...
+R/utils_report_generation.R#L1192   } else if (field == "meta" && ...
+R/utils_report_generation.R#L1197       '<a href="%s" download="meta.xlsx" ...
+R/utils_report_generation.R#L1198        <button>Download meta.xlsx</butto ...
+R/utils_report_generation.R#L1199       encode_df_to_base64(meta) ...
+R/utils_report_generation.R#L1201   } else if (field == "limma_topTables_c ...
+R/utils_report_generation.R#L1204       '<a href="%s" download="limma_topT ...
+R/utils_report_generation.R#L1205       class="embedded-file"> ...
+R/utils_report_generation.R#L1206        <button>Download limma_topTables_ ...
+R/utils_report_generation.R#L1207       </a>', ...
+R/utils_report_generation.R#L1208       encode_df_to_base64(topTables) ...
+R/utils_report_generation.R#L1210   } else if (field == "limma_topTables"  ...
+R/utils_report_generation.R#L1212       '<a href="%s" download="limma_topT ...
+R/utils_report_generation.R#L1213        <button>Download limma_topTables. ...
+R/utils_report_generation.R#L1214       encode_df_to_base64(topTables) ...
+R/utils_report_generation.R#L1216   } else if (field == "Enrichr_clustered ...
+R/utils_report_generation.R#L1222       '<a href="data:application/zip;bas ...
+R/utils_report_generation.R#L1223       download="Enrichr_clustered_genes. ...
+R/utils_report_generation.R#L1224        <button>Download Enrichr_clustere ...
+R/utils_report_generation.R#L1225       zip_base64 ...
+R/utils_report_generation.R#L1227   } else if (field == "Enrichr_backgroun ...
+R/utils_report_generation.R#L1231       '<a href="data:text/plain;base64,% ...
+R/utils_report_generation.R#L1232       class="embedded-file"> ...
+R/utils_report_generation.R#L1233        <button>Download Enrichr_backgrou ...
+R/utils_report_generation.R#L1234       base64enc::base64encode(charToRaw( ...
+R/utils_report_generation.R#L1236   } else if (field == "session_info") { ...
+R/utils_report_generation.R#L1243       '<a href="data:text/plain;base64,% ...
+R/utils_report_generation.R#L1244       class="embedded-file"> ...
+R/utils_report_generation.R#L1245        <button>Download R Session Info</ ...
+R/utils_report_generation.R#L1246       base64_session_info ...
+R/utils_report_generation.R#L1248   } else { ...
+R/utils_report_generation.R#L1250       is.null(report_info[[field]]), ...
+R/utils_report_generation.R#L1251       "NA", report_info[[field]] ...
+R/utils_report_generation.R#L1253   } ...
+R/utils_report_generation.R#L1254   return(base64_df) ...
+R/utils_report_generation.R#L1263   # Extract substring after 'cluster:' a ...
+R/utils_report_generation.R#L1264   cluster_match <- regmatches( ...
+R/utils_report_generation.R#L1267       "(?<=cluster: )[^,]+", ...
+R/utils_report_generation.R#L1268       input, ...
+R/utils_report_generation.R#L1269       perl = TRUE ...
+R/utils_report_generation.R#L1271   ) ...
+R/utils_report_generation.R#L1273   # Extract substring after 'database:' ...
+R/utils_report_generation.R#L1274   database_match <- regmatches( ...
+R/utils_report_generation.R#L1277       "(?<=database: )[^,]+", ...
+R/utils_report_generation.R#L1278       input, ...
+R/utils_report_generation.R#L1279       perl = TRUE ...
+R/utils_report_generation.R#L1281   ) ...
+R/utils_report_generation.R#L1283   # Combine the substrings with a whites ...
+R/utils_report_generation.R#L1284   combined <- paste(cluster_match, datab ...
+R/utils_report_generation.R#L1286   # Truncate the combined string to 30 c ...
+R/utils_report_generation.R#L1287   if (nchar(combined) > 30) { ...
+R/utils_report_generation.R#L1289   } ...
+R/utils_report_generation.R#L1291   return(combined) ...
+R/utils_report_generation.R#L1318   temp_dir <- tempfile(pattern = "enrich ...
+R/utils_report_generation.R#L1319   dir.create(temp_dir) ...
+R/utils_report_generation.R#L1320   zip_file <- tempfile(fileext = ".zip") ...
+R/utils_report_generation.R#L1322   for (level in names(enrichr_format$gen ...
+R/utils_report_generation.R#L1327       cluster_file <- file.path(level_di ...
+R/utils_report_generation.R#L1328       writeLines(enrichr_format$gene_lis ...
+R/utils_report_generation.R#L1330   } ...
+R/utils_report_generation.R#L1332   # Create the ZIP file using relative p ...
+R/utils_report_generation.R#L1333   original_wd <- getwd() ...
+R/utils_report_generation.R#L1334   setwd(temp_dir) ...
+R/utils_report_generation.R#L1335   files_to_zip <- list.files(temp_dir, r ...
+R/utils_report_generation.R#L1336   zip::zip(zipfile = zip_file, files = f ...
+R/utils_report_generation.R#L1337   setwd(original_wd) ...
+R/utils_report_generation.R#L1339   # Read the ZIP file and encode it to b ...
+R/utils_report_generation.R#L1340   zip_base64 <- base64enc::base64encode( ...
+R/utils_report_generation.R#L1342   # Clean up temporary directory and fil ...
+R/utils_report_generation.R#L1343   unlink(temp_dir, recursive = TRUE) ...
+R/utils_report_generation.R#L1344   unlink(zip_file) ...
+R/utils_report_generation.R#L1346   return(zip_base64) ...
+R/utils_report_generation.R#L1368   img_tag <- plot2base64( ...
+R/utils_report_generation.R#L1371   ) ...
+R/utils_report_generation.R#L1372   paste( ...
+R/utils_report_generation.R#L1379   ) ...
 man/add_feature_names.Rd#L29  `NA` values. ...
 man/add_feature_names.Rd#L35   as feature names and issues a message. ...
 man/between_level.Rd#L8   data, ...
@@ -5778,9 +4853,11 @@ man/build_cluster_hits_report.Rd#L11   plots_sizes, ...
 man/build_cluster_hits_report.Rd#L12   level_headers_info, ...
 man/build_cluster_hits_report.Rd#L13   spline_params, ...
 man/build_cluster_hits_report.Rd#L14   adj_pthresholds, ...
-man/build_cluster_hits_report.Rd#L15   mode, ...
-man/build_cluster_hits_report.Rd#L16   report_info, ...
-man/build_cluster_hits_report.Rd#L17   output_file_path ...
+man/build_cluster_hits_report.Rd#L15   adj_pthresh_avrg_diff_conditions, ...
+man/build_cluster_hits_report.Rd#L16   adj_pthresh_interaction_condition_time ...
+man/build_cluster_hits_report.Rd#L17   mode, ...
+man/build_cluster_hits_report.Rd#L18   report_info, ...
+man/build_cluster_hits_report.Rd#L19   output_file_path ...
 man/build_create_gsea_report.Rd#L8   header_section, ...
 man/build_create_gsea_report.Rd#L9   plots, ...
 man/build_create_gsea_report.Rd#L10   plots_sizes, ...
@@ -5896,12 +4973,14 @@ man/generate_report_html.Rd#L19   enrichr_format = NA, ...
 man/generate_report_html.Rd#L20   level_headers_info = NA, ...
 man/generate_report_html.Rd#L21   spline_params = NA, ...
 man/generate_report_html.Rd#L22   adj_pthresholds = NA, ...
-man/generate_report_html.Rd#L23   report_type = "explore_data", ...
-man/generate_report_html.Rd#L24   feature_name_columns = NA, ...
-man/generate_report_html.Rd#L25   mode = NA, ...
-man/generate_report_html.Rd#L26   filename = "report", ...
-man/generate_report_html.Rd#L27   timestamp = format(Sys.time(), "\%d_\% ...
-man/generate_report_html.Rd#L28   report_dir = here::here() ...
+man/generate_report_html.Rd#L23   adj_pthresh_avrg_diff_conditions = NA, ...
+man/generate_report_html.Rd#L24   adj_pthresh_interaction_condition_time ...
+man/generate_report_html.Rd#L25   report_type = "explore_data", ...
+man/generate_report_html.Rd#L26   feature_name_columns = NA, ...
+man/generate_report_html.Rd#L27   mode = NA, ...
+man/generate_report_html.Rd#L28   filename = "report", ...
+man/generate_report_html.Rd#L29   timestamp = format(Sys.time(), "\%d_\% ...
+man/generate_report_html.Rd#L30   report_dir = here::here() ...
 man/generate_reports_meta.Rd#L8   datas_descr, ...
 man/generate_reports_meta.Rd#L9   designs, ...
 man/generate_reports_meta.Rd#L10   modes, ...
@@ -5944,11 +5023,11 @@ man/InputControl.Rd#L42   element being maximally 15 characters  ...
 man/InputControl.Rd#L45   same length as `treatment_labels` if ` ...
 man/InputControl.Rd#L54  with ...
 man/InputControl.Rd#L55    a length of 1. ...
-man/InputControl.Rd#L298  name  ...
-man/InputControl.Rd#L622  any ...
-man/InputControl.Rd#L681  message. ...
-man/InputControl.Rd#L699  and ...
-man/InputControl.Rd#L747  checks ...
+man/InputControl.Rd#L299  name  ...
+man/InputControl.Rd#L640  any ...
+man/InputControl.Rd#L699  message. ...
+man/InputControl.Rd#L717  and ...
+man/InputControl.Rd#L765  checks ...
 man/Level2Functions.Rd#L99  data ...
 man/Level2Functions.Rd#L119  is ...
 man/Level2Functions.Rd#L125   meta, ...
@@ -5972,16 +5051,18 @@ man/make_clustering_report.Rd#L12   annotation, ...
 man/make_clustering_report.Rd#L13   genes, ...
 man/make_clustering_report.Rd#L14   spline_params, ...
 man/make_clustering_report.Rd#L15   adj_pthresholds, ...
-man/make_clustering_report.Rd#L16   report_dir, ...
-man/make_clustering_report.Rd#L17   mode, ...
-man/make_clustering_report.Rd#L18   report_info, ...
-man/make_clustering_report.Rd#L19   design, ...
-man/make_clustering_report.Rd#L20   meta_batch_column, ...
-man/make_clustering_report.Rd#L21   meta_batch2_column, ...
-man/make_clustering_report.Rd#L22   plot_info, ...
-man/make_clustering_report.Rd#L23   plot_options, ...
-man/make_clustering_report.Rd#L24   feature_name_columns, ...
-man/make_clustering_report.Rd#L25   spline_comp_plots ...
+man/make_clustering_report.Rd#L16   adj_pthresh_avrg_diff_conditions, ...
+man/make_clustering_report.Rd#L17   adj_pthresh_interaction_condition_time ...
+man/make_clustering_report.Rd#L18   report_dir, ...
+man/make_clustering_report.Rd#L19   mode, ...
+man/make_clustering_report.Rd#L20   report_info, ...
+man/make_clustering_report.Rd#L21   design, ...
+man/make_clustering_report.Rd#L22   meta_batch_column, ...
+man/make_clustering_report.Rd#L23   meta_batch2_column, ...
+man/make_clustering_report.Rd#L24   plot_info, ...
+man/make_clustering_report.Rd#L25   plot_options, ...
+man/make_clustering_report.Rd#L26   feature_name_columns, ...
+man/make_clustering_report.Rd#L27   spline_comp_plots ...
 man/make_enrich_dotplot.Rd#L20   \item{p}{The ggplot object representin ...
 man/make_enrich_dotplot.Rd#L21   \item{dotplot_nrows}{An integer specif ...
 man/make_enrich_dotplot.Rd#L22                        dotplot.} ...
@@ -6049,9 +5130,10 @@ man/plot_splines.Rd#L11   X, ...
 man/plot_splines.Rd#L12   time_unit_label, ...
 man/plot_splines.Rd#L13   plot_info, ...
 man/plot_splines.Rd#L14   adj_pthreshold, ...
-man/plot_splines.Rd#L15   replicate_column ...
-man/plot_splines.Rd#L21                  statistical metrics suc ...
-man/plot_splines.Rd#L22                  coefficients.} ...
+man/plot_splines.Rd#L15   replicate_column, ...
+man/plot_splines.Rd#L16   level ...
+man/plot_splines.Rd#L22                  statistical metrics suc ...
+man/plot_splines.Rd#L23                  coefficients.} ...
 man/plot2base64.Rd#L8   plot, ...
 man/plot2base64.Rd#L9   height, ...
 man/plot2base64.Rd#L10   width = 7, ...
@@ -6266,154 +5348,133 @@ vignettes/Docker-instructions.Rmd#L58       }); ...
 vignettes/Docker-instructions.Rmd#L60   }); ...
 vignettes/get-started.Rmd#L17   collapse = TRUE, ...
 vignettes/get-started.Rmd#L18   comment = "#>" ...
-vignettes/get-started.Rmd#L101   "extdata", ...
-vignettes/get-started.Rmd#L102   "proteomics_data.rds", ...
-vignettes/get-started.Rmd#L103   package = "SplineOmics" ...
-vignettes/get-started.Rmd#L104   )) ...
-vignettes/get-started.Rmd#L108   system.file( ...
-vignettes/get-started.Rmd#L113   ) ...
-vignettes/get-started.Rmd#L118   dplyr::select((first_na_col + 1):ncol( ...
-vignettes/get-started.Rmd#L119   dplyr::slice(-c(1:3)) ...
-vignettes/get-started.Rmd#L167   # The dataframe with the numbers on th ...
-vignettes/get-started.Rmd#L168   data = data, ...
-vignettes/get-started.Rmd#L169   # Use this annotation column for the f ...
-vignettes/get-started.Rmd#L170   feature_name_columns = c("Gene_name"), ...
-vignettes/get-started.Rmd#L171   # When TRUE, you must confirm that dat ...
-vignettes/get-started.Rmd#L172   user_prompt = FALSE    ...
-vignettes/get-started.Rmd#L173   ) ...
-vignettes/get-started.Rmd#L244   omics_data_type = "PTX", ...
-vignettes/get-started.Rmd#L245   data_description = "Proteomics data of ...
-vignettes/get-started.Rmd#L246   data_collection_date = "February 2024" ...
-vignettes/get-started.Rmd#L247   analyst_name = "Thomas Rauter", ...
-vignettes/get-started.Rmd#L248   contact_info = "thomas.rauter@plus.ac. ...
-vignettes/get-started.Rmd#L249   project_name = "DGTX" ...
-vignettes/get-started.Rmd#L250   ) ...
-vignettes/get-started.Rmd#L253   "results", ...
-vignettes/get-started.Rmd#L254   "explore_data" ...
-vignettes/get-started.Rmd#L255   ) ...
-vignettes/get-started.Rmd#L309   data = data, ...
-vignettes/get-started.Rmd#L310   meta = meta, ...
-vignettes/get-started.Rmd#L311   annotation = annotation, ...
-vignettes/get-started.Rmd#L312   report_info = report_info, ...
-vignettes/get-started.Rmd#L313   condition = "Phase",  # Column of meta ...
-vignettes/get-started.Rmd#L314   meta_batch_column = "Reactor"  # For b ...
-vignettes/get-started.Rmd#L326   splineomics = splineomics,   # SplineO ...
-vignettes/get-started.Rmd#L327   report_dir = report_dir ...
-vignettes/get-started.Rmd#L328   ) ...
-vignettes/get-started.Rmd#L463   "E12_TP05_Exponential",  ...
-vignettes/get-started.Rmd#L464   "E10_TP10_Stationary" ...
-vignettes/get-started.Rmd#L465   ) ...
-vignettes/get-started.Rmd#L466   )] ...
-vignettes/get-started.Rmd#L470   "E12_TP05_Exponential",  ...
-vignettes/get-started.Rmd#L471   "E10_TP10_Stationary" ...
-vignettes/get-started.Rmd#L472   ), ] ...
-vignettes/get-started.Rmd#L480   "full_data", ...
-vignettes/get-started.Rmd#L481   "outliers_removed" ...
-vignettes/get-started.Rmd#L482   )  ...
-vignettes/get-started.Rmd#L488   "~ 1 + Phase*X + Reactor", ...
-vignettes/get-started.Rmd#L489   "~ 1 + X + Reactor" ...
-vignettes/get-started.Rmd#L490   )  ...
-vignettes/get-started.Rmd#L493   "integrated", ...
-vignettes/get-started.Rmd#L494   "isolated" ...
-vignettes/get-started.Rmd#L495   ) ...
-vignettes/get-started.Rmd#L501   "results", ...
-vignettes/get-started.Rmd#L502   "hyperparams_screen_reports" ...
-vignettes/get-started.Rmd#L503   )  ...
-vignettes/get-started.Rmd#L510   0.05, ...
-vignettes/get-started.Rmd#L511   0.1 ...
-vignettes/get-started.Rmd#L512   ) ...
-vignettes/get-started.Rmd#L517    # 'n' stands for natural cubic spline ...
-vignettes/get-started.Rmd#L518   spline_type = c("n", "n", "b", "b"),   ...
-vignettes/get-started.Rmd#L519   # Degree is not applicable (NA) for na ...
-vignettes/get-started.Rmd#L520   degree = c(NA, NA, 2L, 4L),            ...
-vignettes/get-started.Rmd#L521   # Degrees of freedom (DoF) to test. ...
-vignettes/get-started.Rmd#L522   # Higher dof means spline can fit more ...
-vignettes/get-started.Rmd#L523   dof = c(2L, 3L, 3L, 4L)          ...
-vignettes/get-started.Rmd#L534   splineomics = splineomics, ...
-vignettes/get-started.Rmd#L535   datas = datas, ...
-vignettes/get-started.Rmd#L536   datas_descr = datas_descr, ...
-vignettes/get-started.Rmd#L537   metas = metas, ...
-vignettes/get-started.Rmd#L538   designs = designs, ...
-vignettes/get-started.Rmd#L539   modes = modes, ...
-vignettes/get-started.Rmd#L540   spline_test_configs = spline_test_conf ...
-vignettes/get-started.Rmd#L541   report_dir = report_dir, ...
-vignettes/get-started.Rmd#L542   adj_pthresholds = adj_pthresholds, ...
-vignettes/get-started.Rmd#L543   ) ...
-vignettes/get-started.Rmd#L585   splineomics = splineomics, ...
-vignettes/get-started.Rmd#L586   design = "~ 1 + Phase*X + Reactor",  # ...
-vignettes/get-started.Rmd#L587   mode = "integrated", ...
-vignettes/get-started.Rmd#L588   data = data2,   # data without "outlie ...
-vignettes/get-started.Rmd#L589   meta = meta2,   ...
-vignettes/get-started.Rmd#L590   spline_params = list( ...
-vignettes/get-started.Rmd#L602   splineomics = splineomics ...
-vignettes/get-started.Rmd#L603   ) ...
-vignettes/get-started.Rmd#L632   "results", ...
-vignettes/get-started.Rmd#L633   "create_limma_reports" ...
-vignettes/get-started.Rmd#L634   ) ...
-vignettes/get-started.Rmd#L637   splineomics = splineomics, ...
-vignettes/get-started.Rmd#L638   report_dir = report_dir ...
-vignettes/get-started.Rmd#L639   ) ...
-vignettes/get-started.Rmd#L657   0.05,  # exponential ...
-vignettes/get-started.Rmd#L658   0.05   # stationary ...
-vignettes/get-started.Rmd#L659   ) ...
-vignettes/get-started.Rmd#L662   6L,  # 6 clusters for the exponential  ...
-vignettes/get-started.Rmd#L663   3L   # 3 clusters for the stationary p ...
-vignettes/get-started.Rmd#L664   ) ...
-vignettes/get-started.Rmd#L667   "results", ...
-vignettes/get-started.Rmd#L668   "clustering_reports" ...
-vignettes/get-started.Rmd#L669   ) ...
-vignettes/get-started.Rmd#L672   y_axis_label = "log2 intensity", ...
-vignettes/get-started.Rmd#L673   time_unit = "min",  # our measurements ...
-vignettes/get-started.Rmd#L674   treatment_labels = c("Feeding"),   ...
-vignettes/get-started.Rmd#L675   treatment_timepoints = c(0)  # Feeding ...
-vignettes/get-started.Rmd#L686   splineomics = splineomics, ...
-vignettes/get-started.Rmd#L687   adj_pthresholds = adj_pthresholds, ...
-vignettes/get-started.Rmd#L688   clusters = clusters, ...
-vignettes/get-started.Rmd#L689   genes = genes, ...
-vignettes/get-started.Rmd#L690   plot_info = plot_info, ...
-vignettes/get-started.Rmd#L691   report_dir = report_dir, ...
-vignettes/get-started.Rmd#L692   adj_pthresh_avrg_diff_conditions = 0, ...
-vignettes/get-started.Rmd#L693   adj_pthresh_interaction_condition_time ...
-vignettes/get-started.Rmd#L694   ) ...
-vignettes/get-started.Rmd#L715   "WikiPathways_2019_Human", ...
-vignettes/get-started.Rmd#L716   "NCI-Nature_2016", ...
-vignettes/get-started.Rmd#L717   "TRRUST_Transcription_Factors_2019", ...
-vignettes/get-started.Rmd#L718   "MSigDB_Hallmark_2020", ...
-vignettes/get-started.Rmd#L719   "GO_Cellular_Component_2018", ...
-vignettes/get-started.Rmd#L720   "CORUM", ...
-vignettes/get-started.Rmd#L721   "KEGG_2019_Human", ...
-vignettes/get-started.Rmd#L722   "TRANSFAC_and_JASPAR_PWMs", ...
-vignettes/get-started.Rmd#L723   "ENCODE_and_ChEA_Consensus_TFs_from_Ch ...
-vignettes/get-started.Rmd#L724   "GO_Biological_Process_2018", ...
-vignettes/get-started.Rmd#L725   "GO_Molecular_Function_2018", ...
-vignettes/get-started.Rmd#L726   "Human_Gene_Atlas" ...
-vignettes/get-started.Rmd#L727   ) ...
-vignettes/get-started.Rmd#L730   gene_set_lib = gene_set_lib, ...
-vignettes/get-started.Rmd#L731   filename = "databases.tsv") ...
-vignettes/get-started.Rmd#L749   downloaded_dbs_filepath, ...
-vignettes/get-started.Rmd#L750   sep = "\t", ...
-vignettes/get-started.Rmd#L751   stringsAsFactors = FALSE ...
-vignettes/get-started.Rmd#L756   pvalueCutoff = 0.05, ...
-vignettes/get-started.Rmd#L757   pAdjustMethod = "BH", ...
-vignettes/get-started.Rmd#L758   minGSSize = 10, ...
-vignettes/get-started.Rmd#L759   maxGSSize = 500, ...
-vignettes/get-started.Rmd#L760   qvalueCutoff = 0.2 ...
-vignettes/get-started.Rmd#L761   ) ...
-vignettes/get-started.Rmd#L764   "results", ...
-vignettes/get-started.Rmd#L765   "gsea_reports" ...
-vignettes/get-started.Rmd#L766   ) ...
-vignettes/get-started.Rmd#L774   # A dataframe with three columns: feat ...
-vignettes/get-started.Rmd#L775   # the integer index of the feature, cl ...
-vignettes/get-started.Rmd#L776   # number, and gene the string of the g ...
-vignettes/get-started.Rmd#L777   levels_clustered_hits = clustering_res ...
-vignettes/get-started.Rmd#L778   databases = databases, ...
-vignettes/get-started.Rmd#L779   clusterProfiler_params = clusterProfil ...
-vignettes/get-started.Rmd#L780   report_info = report_info, ...
-vignettes/get-started.Rmd#L781   report_dir = report_dir ...
-vignettes/get-started.Rmd#L782   ) ...
+vignettes/get-started.Rmd#L100   "extdata", ...
+vignettes/get-started.Rmd#L101   "proteomics_data.rds", ...
+vignettes/get-started.Rmd#L102   package = "SplineOmics" ...
+vignettes/get-started.Rmd#L107   system.file( ...
+vignettes/get-started.Rmd#L111   ) ...
+vignettes/get-started.Rmd#L117   dplyr::select((first_na_col + 1):ncol( ...
+vignettes/get-started.Rmd#L118   dplyr::slice(-c(1:3)) ...
+vignettes/get-started.Rmd#L184   # The dataframe with the numbers on th ...
+vignettes/get-started.Rmd#L185   data = data, ...
+vignettes/get-started.Rmd#L186   # Use this annotation column for the f ...
+vignettes/get-started.Rmd#L187   feature_name_columns = c("Gene_name"), ...
+vignettes/get-started.Rmd#L188   # When TRUE, you must confirm that dat ...
+vignettes/get-started.Rmd#L189   user_prompt = FALSE ...
+vignettes/get-started.Rmd#L261   omics_data_type = "PTX", ...
+vignettes/get-started.Rmd#L262   data_description = "Proteomics data of ...
+vignettes/get-started.Rmd#L263   data_collection_date = "February 2024" ...
+vignettes/get-started.Rmd#L264   analyst_name = "Thomas Rauter", ...
+vignettes/get-started.Rmd#L265   contact_info = "thomas.rauter@plus.ac. ...
+vignettes/get-started.Rmd#L266   project_name = "DGTX" ...
+vignettes/get-started.Rmd#L270   "results", ...
+vignettes/get-started.Rmd#L271   "explore_data" ...
+vignettes/get-started.Rmd#L326   data = data, ...
+vignettes/get-started.Rmd#L327   meta = meta, ...
+vignettes/get-started.Rmd#L328   annotation = annotation, ...
+vignettes/get-started.Rmd#L329   report_info = report_info, ...
+vignettes/get-started.Rmd#L330   condition = "Phase", # Column of meta  ...
+vignettes/get-started.Rmd#L331   meta_batch_column = "Reactor" # For ba ...
+vignettes/get-started.Rmd#L343   splineomics = splineomics, # SplineOmi ...
+vignettes/get-started.Rmd#L344   report_dir = report_dir ...
+vignettes/get-started.Rmd#L479   "E12_TP05_Exponential", ...
+vignettes/get-started.Rmd#L480   "E10_TP10_Stationary" ...
+vignettes/get-started.Rmd#L486   "E12_TP05_Exponential", ...
+vignettes/get-started.Rmd#L487   "E10_TP10_Stationary" ...
+vignettes/get-started.Rmd#L496   "full_data", ...
+vignettes/get-started.Rmd#L497   "outliers_removed" ...
+vignettes/get-started.Rmd#L504   "~ 1 + Phase*X + Reactor", ...
+vignettes/get-started.Rmd#L505   "~ 1 + X + Reactor" ...
+vignettes/get-started.Rmd#L514   "integrated", ...
+vignettes/get-started.Rmd#L515   "isolated" ...
+vignettes/get-started.Rmd#L522   "results", ...
+vignettes/get-started.Rmd#L523   "hyperparams_screen_reports" ...
+vignettes/get-started.Rmd#L531   0.05, ...
+vignettes/get-started.Rmd#L532   0.1 ...
+vignettes/get-started.Rmd#L538   # 'n' stands for natural cubic splines ...
+vignettes/get-started.Rmd#L539   spline_type = c("n", "n", "b", "b"), ...
+vignettes/get-started.Rmd#L540   # Degree is not applicable (NA) for na ...
+vignettes/get-started.Rmd#L541   degree = c(NA, NA, 2L, 4L), ...
+vignettes/get-started.Rmd#L542   # Degrees of freedom (DoF) to test. ...
+vignettes/get-started.Rmd#L543   # Higher dof means spline can fit more ...
+vignettes/get-started.Rmd#L544   dof = c(2L, 3L, 3L, 4L) ...
+vignettes/get-started.Rmd#L555   splineomics = splineomics, ...
+vignettes/get-started.Rmd#L556   datas = datas, ...
+vignettes/get-started.Rmd#L557   datas_descr = datas_descr, ...
+vignettes/get-started.Rmd#L558   metas = metas, ...
+vignettes/get-started.Rmd#L559   designs = designs, ...
+vignettes/get-started.Rmd#L560   modes = modes, ...
+vignettes/get-started.Rmd#L561   spline_test_configs = spline_test_conf ...
+vignettes/get-started.Rmd#L562   report_dir = report_dir, ...
+vignettes/get-started.Rmd#L563   adj_pthresholds = adj_pthresholds, ...
+vignettes/get-started.Rmd#L606   splineomics = splineomics, ...
+vignettes/get-started.Rmd#L607   design = "~ 1 + Phase*X + Reactor", #  ...
+vignettes/get-started.Rmd#L608   mode = "integrated", # means limma use ...
+vignettes/get-started.Rmd#L609   data = data2, # data without "outliers ...
+vignettes/get-started.Rmd#L610   meta = meta2, ...
+vignettes/get-started.Rmd#L611   spline_params = list( ...
+vignettes/get-started.Rmd#L614   ) ...
+vignettes/get-started.Rmd#L623   splineomics = splineomics ...
+vignettes/get-started.Rmd#L653   "results", ...
+vignettes/get-started.Rmd#L654   "create_limma_reports" ...
+vignettes/get-started.Rmd#L658   splineomics = splineomics, ...
+vignettes/get-started.Rmd#L659   report_dir = report_dir ...
+vignettes/get-started.Rmd#L688   0.05, # exponential ...
+vignettes/get-started.Rmd#L689   0.05 # stationary ...
+vignettes/get-started.Rmd#L693   6L, # 6 clusters for the exponential p ...
+vignettes/get-started.Rmd#L694   3L # 3 clusters for the stationary pha ...
+vignettes/get-started.Rmd#L698   "results", ...
+vignettes/get-started.Rmd#L699   "clustering_reports" ...
+vignettes/get-started.Rmd#L703   y_axis_label = "log2 intensity", ...
+vignettes/get-started.Rmd#L704   time_unit = "min", # our measurements  ...
+vignettes/get-started.Rmd#L705   treatment_labels = list("feeding"), #  ...
+vignettes/get-started.Rmd#L706   treatment_timepoints = list(0) # Feedi ...
+vignettes/get-started.Rmd#L741   # When meta_replicate_column is not th ...
+vignettes/get-started.Rmd#L742   meta_replicate_column = "Reactor", # C ...
+vignettes/get-started.Rmd#L743   cluster_heatmap_columns = FALSE # Per  ...
+vignettes/get-started.Rmd#L747   splineomics = splineomics, ...
+vignettes/get-started.Rmd#L748   adj_pthresholds = adj_pthresholds, ...
+vignettes/get-started.Rmd#L749   clusters = clusters, ...
+vignettes/get-started.Rmd#L750   genes = genes, ...
+vignettes/get-started.Rmd#L751   plot_info = plot_info, ...
+vignettes/get-started.Rmd#L752   plot_options = plot_options, ...
+vignettes/get-started.Rmd#L753   report_dir = report_dir, ...
+vignettes/get-started.Rmd#L754   adj_pthresh_avrg_diff_conditions = 0, ...
+vignettes/get-started.Rmd#L755   adj_pthresh_interaction_condition_time ...
+vignettes/get-started.Rmd#L777   "WikiPathways_2019_Human", ...
+vignettes/get-started.Rmd#L778   "NCI-Nature_2016", ...
+vignettes/get-started.Rmd#L779   "TRRUST_Transcription_Factors_2019", ...
+vignettes/get-started.Rmd#L780   "MSigDB_Hallmark_2020", ...
+vignettes/get-started.Rmd#L781   "GO_Cellular_Component_2018", ...
+vignettes/get-started.Rmd#L782   "CORUM", ...
+vignettes/get-started.Rmd#L783   "KEGG_2019_Human", ...
+vignettes/get-started.Rmd#L784   "TRANSFAC_and_JASPAR_PWMs", ...
+vignettes/get-started.Rmd#L785   "ENCODE_and_ChEA_Consensus_TFs_from_Ch ...
+vignettes/get-started.Rmd#L786   "GO_Biological_Process_2018", ...
+vignettes/get-started.Rmd#L787   "GO_Molecular_Function_2018", ...
+vignettes/get-started.Rmd#L788   "Human_Gene_Atlas" ...
+vignettes/get-started.Rmd#L792   gene_set_lib = gene_set_lib, ...
+vignettes/get-started.Rmd#L793   filename = "databases.tsv" ...
+vignettes/get-started.Rmd#L812   downloaded_dbs_filepath, ...
+vignettes/get-started.Rmd#L813   sep = "\t", ...
+vignettes/get-started.Rmd#L814   stringsAsFactors = FALSE ...
+vignettes/get-started.Rmd#L819   pvalueCutoff = 0.05, ...
+vignettes/get-started.Rmd#L820   pAdjustMethod = "BH", ...
+vignettes/get-started.Rmd#L821   minGSSize = 10, ...
+vignettes/get-started.Rmd#L822   maxGSSize = 500, ...
+vignettes/get-started.Rmd#L823   qvalueCutoff = 0.2 ...
+vignettes/get-started.Rmd#L827   "results", ...
+vignettes/get-started.Rmd#L828   "gsea_reports" ...
+vignettes/get-started.Rmd#L837   # A dataframe with three columns: feat ...
+vignettes/get-started.Rmd#L838   # the integer index of the feature, cl ...
+vignettes/get-started.Rmd#L839   # number, and gene the string of the g ...
+vignettes/get-started.Rmd#L840   levels_clustered_hits = clustering_res ...
+vignettes/get-started.Rmd#L841   databases = databases, ...
+vignettes/get-started.Rmd#L842   clusterProfiler_params = clusterProfil ...
+vignettes/get-started.Rmd#L843   report_info = report_info, ...
+vignettes/get-started.Rmd#L844   report_dir = report_dir ...
 * Checking if package already exists in CRAN... OK
 * Checking for bioc-devel mailing list subscription...
 * NOTE: Cannot determine whether maintainer is subscribed to the Bioc-Devel mailing list (requires admin credentials). Subscribe here: https://stat.ethz.ch/mailman/listinfo/bioc-devel
 * Checking for support site registration...
-* ERROR: Unable to find your email in the Support Site:
-  HTTP 404 Not Found.
+* ERROR: Add package to Watched Tags in your Support Site profile; visit https://support.bioconductor.org/accounts/edit/profile
diff --git a/dev/function_testing_ground.R b/dev/function_testing_ground.R
index 50a97d6..8cac53c 100755
--- a/dev/function_testing_ground.R
+++ b/dev/function_testing_ground.R
@@ -225,8 +225,8 @@ plot_info = list(
   time_unit = "min",
   # treatment_labels = NA,
   # treatment_timepoints = NA
-  treatment_labels = list(all = c("feeding")),
-  treatment_timepoints = list(all = c(0))
+  treatment_labels = list("feeding"),
+  treatment_timepoints = list(0)
 )
 
 plot_options = list(
@@ -266,7 +266,9 @@ gene_set_lib <- c(
   "Human_Gene_Atlas"
 )
 
-# download_enrichr_databases(gene_set_lib)
+report_dir <- here::here("results", "enrichr_databases")
+
+download_enrichr_databases(gene_set_lib, output_dir = report_dir)
  
 downloaded_dbs_filepath <- 
   here::here(
diff --git a/doc/Docker_permission_denied.R b/doc/Docker_permission_denied.R
index 6e0db64..0ecad95 100644
--- a/doc/Docker_permission_denied.R
+++ b/doc/Docker_permission_denied.R
@@ -4,3 +4,6 @@ knitr::opts_chunk$set(
   comment = "#>"
 )
 
+## ----sessionInfo, echo=FALSE--------------------------------------------------
+sessionInfo()
+
diff --git a/doc/Docker_permission_denied.Rmd b/doc/Docker_permission_denied.Rmd
index 509b89a..1861be3 100755
--- a/doc/Docker_permission_denied.Rmd
+++ b/doc/Docker_permission_denied.Rmd
@@ -64,3 +64,7 @@ sudo systemctl enable docker
 ```
 
 Following these steps will help you resolve permission issues and enable you to pull and run the Docker container without using `sudo`.
+
+```{r sessionInfo, echo=FALSE}
+sessionInfo()
+```
diff --git a/doc/Docker_permission_denied.html b/doc/Docker_permission_denied.html
index ca113bb..fc1c66d 100644
--- a/doc/Docker_permission_denied.html
+++ b/doc/Docker_permission_denied.html
@@ -375,6 +375,37 @@ <h4 class="date">10 June, 2024</h4>
 <p>Following these steps will help you resolve permission issues and
 enable you to pull and run the Docker container without using
 <code>sudo</code>.</p>
+<pre><code>#&gt; R version 4.3.3 (2024-02-29)
+#&gt; Platform: x86_64-pc-linux-gnu (64-bit)
+#&gt; Running under: Ubuntu 22.04.5 LTS
+#&gt; 
+#&gt; Matrix products: default
+#&gt; BLAS:   /usr/local/R-4.3.3/lib/R/lib/libRblas.so 
+#&gt; LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
+#&gt; 
+#&gt; locale:
+#&gt;  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
+#&gt;  [3] LC_TIME=de_AT.UTF-8        LC_COLLATE=en_US.UTF-8    
+#&gt;  [5] LC_MONETARY=de_AT.UTF-8    LC_MESSAGES=en_US.UTF-8   
+#&gt;  [7] LC_PAPER=de_AT.UTF-8       LC_NAME=C                 
+#&gt;  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
+#&gt; [11] LC_MEASUREMENT=de_AT.UTF-8 LC_IDENTIFICATION=C       
+#&gt; 
+#&gt; time zone: Europe/Vienna
+#&gt; tzcode source: system (glibc)
+#&gt; 
+#&gt; attached base packages:
+#&gt; [1] stats     graphics  grDevices datasets  utils     methods   base     
+#&gt; 
+#&gt; loaded via a namespace (and not attached):
+#&gt;  [1] digest_0.6.37       R6_2.5.1            fastmap_1.2.0      
+#&gt;  [4] xfun_0.48           cachem_1.1.0        knitr_1.48         
+#&gt;  [7] htmltools_0.5.8.1   rmarkdown_2.28      lifecycle_1.0.4    
+#&gt; [10] cli_3.6.3           sass_0.4.9          jquerylib_0.1.4    
+#&gt; [13] renv_1.0.10         compiler_4.3.3      rstudioapi_0.16.0  
+#&gt; [16] tools_4.3.3         evaluate_1.0.0      bslib_0.8.0        
+#&gt; [19] yaml_2.3.10         BiocManager_1.30.25 jsonlite_1.8.9     
+#&gt; [22] rlang_1.1.4</code></pre>
 
 
 
diff --git a/doc/get-started.R b/doc/get-started.R
index 26ce6f2..8e4e260 100644
--- a/doc/get-started.R
+++ b/doc/get-started.R
@@ -6,17 +6,16 @@ knitr::opts_chunk$set(
 
 ## ----setup, eval = TRUE-------------------------------------------------------
 library(SplineOmics)
-library(readxl)  # for loading Excel files
-library(here)    # For managing filepaths
-library(dplyr)   # For data manipulation
+library(readxl) # for loading Excel files
+library(here) # For managing filepaths
+library(dplyr) # For data manipulation
 
 ## ----load the files-----------------------------------------------------------
-
 data <- readRDS(system.file(
   "extdata",
   "proteomics_data.rds",
   package = "SplineOmics"
-  ))
+))
 
 
 meta <- read_excel(
@@ -24,11 +23,11 @@ meta <- read_excel(
     "extdata",
     "proteomics_meta.xlsx",
     package = "SplineOmics"
-    )
   )
+)
 
 # Extract the annotation part from the dataframe.
-first_na_col <- which(is.na(data[1,]))[1]
+first_na_col <- which(is.na(data[1, ]))[1]
 annotation <- data |>
   dplyr::select((first_na_col + 1):ncol(data)) |>
   dplyr::slice(-c(1:3))
@@ -42,14 +41,14 @@ data <- SplineOmics::extract_data(
   # The dataframe with the numbers on the left and info on the right.
   data = data,
   # Use this annotation column for the feature names.
-  feature_name_columns = c("Gene_name"),  
+  feature_name_columns = c("Gene_name"),
   # When TRUE, you must confirm that data is in the required format.
-  user_prompt = FALSE   
-  )
+  user_prompt = FALSE
+)
 
 ## ----Load EDA arguments, eval = TRUE------------------------------------------
 # Those fields are mandatory, because we believe that when such a report is
-# opened after half a year, those infos can be very helpful. 
+# opened after half a year, those infos can be very helpful.
 report_info <- list(
   omics_data_type = "PTX",
   data_description = "Proteomics data of CHO cells",
@@ -57,12 +56,12 @@ report_info <- list(
   analyst_name = "Thomas Rauter",
   contact_info = "thomas.rauter@plus.ac.at",
   project_name = "DGTX"
-  )
+)
 
 report_dir <- here::here(
   "results",
   "explore_data"
-  )
+)
 
 ## ----Create the SplineOmics object, eval = TRUE-------------------------------
 # splineomics now contains the SplineOmics object.
@@ -71,92 +70,91 @@ splineomics <- SplineOmics::create_splineomics(
   meta = meta,
   annotation = annotation,
   report_info = report_info,
-  condition = "Phase",  # Column of meta that contains the levels.
-  meta_batch_column = "Reactor"  # For batch effect removal
+  condition = "Phase", # Column of meta that contains the levels.
+  meta_batch_column = "Reactor" # For batch effect removal
 )
 
 # Special print.SplineOmics function leads to selective printing
-print(splineomics)   
+print(splineomics)
 
 ## ----Run EDA function, eval = FALSE-------------------------------------------
 #  plots <- SplineOmics::explore_data(
-#    splineomics = splineomics,   # SplineOmics object
+#    splineomics = splineomics, # SplineOmics object
 #    report_dir = report_dir
-#    )
-#  
+#  )
 
 ## ----Load hyperparameter-screening args, eval = TRUE--------------------------
-data1 <- data 
+data1 <- data
 meta1 <- meta
 
 # Remove the "outliers"
 data2 <- data[, !(colnames(data) %in% c(
-  "E12_TP05_Exponential", 
+  "E12_TP05_Exponential",
   "E10_TP10_Stationary"
-  )
-  )]
+)
+)]
 
 # Adjust meta so that it matches data2
 meta2 <- meta[!meta$Sample.ID %in% c(
-  "E12_TP05_Exponential", 
+  "E12_TP05_Exponential",
   "E10_TP10_Stationary"
-  ), ]
+), ]
 
-# As mentioned above, all the values of one hyperparameter are stored 
+# As mentioned above, all the values of one hyperparameter are stored
 # and provided as a list.
-datas <- list(data1, data2) 
+datas <- list(data1, data2)
 
 # This will be used to describe the versions of the data.
 datas_descr <- c(
   "full_data",
   "outliers_removed"
-  ) 
+)
 
-metas <- list(meta1, meta2) 
+metas <- list(meta1, meta2)
 
 # Test two different limma designs
 designs <- c(
   "~ 1 + Phase*X + Reactor",
   "~ 1 + X + Reactor"
-  ) 
+)
 
 # 'Integrated means' limma will use the full dataset to generate the results for
-# each condition. 'Isolated' means limma will use only the respective part of 
-# the dataset for each condition. Designs that contain the condition column 
+# each condition. 'Isolated' means limma will use only the respective part of
+# the dataset for each condition. Designs that contain the condition column
 # (here Phase) must have mode 'integrated', because the full data is needed to
 # include the different conditions into the design formula.
 modes <- c(
   "integrated",
   "isolated"
-  )
+)
 
 # Specify the meta "level" column
-condition <- "Phase" 
+condition <- "Phase"
 
 report_dir <- here::here(
   "results",
   "hyperparams_screen_reports"
-  ) 
+)
 
 # To remove the batch effect
-meta_batch_column = "Reactor" 
+meta_batch_column <- "Reactor"
 
 # Test out two different p-value thresholds (inner hyperparameter)
 adj_pthresholds <- c(
   0.05,
   0.1
-  )
+)
 
 # Create a dataframe with combinations of spline parameters to test
 # (every row a combo to test)
 spline_test_configs <- data.frame(
-   # 'n' stands for natural cubic splines, b for B-splines.
-  spline_type = c("n", "n", "b", "b"),  
+  # 'n' stands for natural cubic splines, b for B-splines.
+  spline_type = c("n", "n", "b", "b"),
   # Degree is not applicable (NA) for natural splines.
-  degree = c(NA, NA, 2L, 4L),           
+  degree = c(NA, NA, 2L, 4L),
   # Degrees of freedom (DoF) to test.
   # Higher dof means spline can fit more complex patterns.
-  dof = c(2L, 3L, 3L, 4L)         
+  dof = c(2L, 3L, 3L, 4L)
 )
 
 print(spline_test_configs)
@@ -172,59 +170,58 @@ print(spline_test_configs)
 #    spline_test_configs = spline_test_configs,
 #    report_dir = report_dir,
 #    adj_pthresholds = adj_pthresholds,
-#    )
-#  
+#  )
 
 ## ----Update the SplineOmics object, eval = TRUE-------------------------------
 splineomics <- SplineOmics::update_splineomics(
   splineomics = splineomics,
-  design = "~ 1 + Phase*X + Reactor",  # best design formula
-  mode = "integrated",  # means limma uses the full data for each condition.
-  data = data2,   # data without "outliers" was better
-  meta = meta2,  
+  design = "~ 1 + Phase*X + Reactor", # best design formula
+  mode = "integrated", # means limma uses the full data for each condition.
+  data = data2, # data without "outliers" was better
+  meta = meta2,
   spline_params = list(
-    spline_type = c("n"),   # natural cubic splines (take these if unsure)
-    dof = c(2L)  # If you are unsure about which dof, start with 2 and increase
-    )
+    spline_type = c("n"), # natural cubic splines (take these if unsure)
+    dof = c(2L) # If you are unsure about which dof, start with 2 and increase
+  )
 )
 
 ## ----limma spline analysis, eval = TRUE---------------------------------------
 splineomics <- SplineOmics::run_limma_splines(
   splineomics = splineomics
-  )
+)
 
 ## ----build limma report, eval = FALSE-----------------------------------------
 #  report_dir <- here::here(
 #    "results",
 #    "create_limma_reports"
-#    )
+#  )
 #  
 #  plots <- SplineOmics::create_limma_report(
 #    splineomics = splineomics,
 #    report_dir = report_dir
-#    )
+#  )
 
 ## ----cluster the hits, eval = FALSE-------------------------------------------
-#  adj_pthresholds <- c(  # 0.05 for both levels
-#    0.05,  # exponential
-#    0.05   # stationary
-#    )
+#  adj_pthresholds <- c( # 0.05 for both levels
+#    0.05, # exponential
+#    0.05 # stationary
+#  )
 #  
 #  clusters <- c(
-#    6L,  # 6 clusters for the exponential phase level
-#    3L   # 3 clusters for the stationary phase level
-#    )
+#    6L, # 6 clusters for the exponential phase level
+#    3L # 3 clusters for the stationary phase level
+#  )
 #  
 #  report_dir <- here::here(
 #    "results",
 #    "clustering_reports"
-#    )
+#  )
 #  
-#  plot_info = list(  # For the spline plots
+#  plot_info <- list( # For the spline plots
 #    y_axis_label = "log2 intensity",
-#    time_unit = "min",  # our measurements were in minutes
-#    treatment_labels = list("feeding"),  # add this for all conditions
-#    treatment_timepoints = list(0)  # Feeding was at 0 minutes.
+#    time_unit = "min", # our measurements were in minutes
+#    treatment_labels = list("feeding"), # add this for all conditions
+#    treatment_timepoints = list(0) # Feeding was at 0 minutes.
 #  )
 #  
 #  # Like this you can add individual treatment labels to your plots:
@@ -258,10 +255,10 @@ splineomics <- SplineOmics::run_limma_splines(
 #  gene_column_name <- "Gene_symbol"
 #  genes <- annotation[[gene_column_name]]
 #  
-#  plot_options = list(
+#  plot_options <- list(
 #    # When meta_replicate_column is not there, all datapoints are blue.
-#    meta_replicate_column = "Reactor",  # Colors the data points based on Reactor
-#    cluster_heatmap_columns = FALSE   # Per default FALSE, just for demonstration
+#    meta_replicate_column = "Reactor", # Colors the data points based on Reactor
+#    cluster_heatmap_columns = FALSE # Per default FALSE, just for demonstration
 #  )
 #  
 #  clustering_results <- SplineOmics::cluster_hits(
@@ -274,7 +271,7 @@ splineomics <- SplineOmics::run_limma_splines(
 #    report_dir = report_dir,
 #    adj_pthresh_avrg_diff_conditions = 0,
 #    adj_pthresh_interaction_condition_time = 0.25
-#    )
+#  )
 
 ## ----download Enrichr databases, eval = FALSE---------------------------------
 #  # Specify which databases you want to download from Enrichr
@@ -291,11 +288,12 @@ splineomics <- SplineOmics::run_limma_splines(
 #    "GO_Biological_Process_2018",
 #    "GO_Molecular_Function_2018",
 #    "Human_Gene_Atlas"
-#    )
+#  )
 #  
 #  SplineOmics::download_enrichr_databases(
 #    gene_set_lib = gene_set_lib,
-#    filename = "databases.tsv")
+#    filename = "databases.tsv"
+#  )
 
 ## ----prepare arguments for GSEA, eval = FALSE---------------------------------
 #  # Specify the filepath of the TSV file with the database info
@@ -315,12 +313,12 @@ splineomics <- SplineOmics::run_limma_splines(
 #    minGSSize = 10,
 #    maxGSSize = 500,
 #    qvalueCutoff = 0.2
-#    )
+#  )
 #  
 #  report_dir <- here::here(
 #    "results",
 #    "gsea_reports"
-#    )
+#  )
 
 ## ----run GSEA, eval = FALSE---------------------------------------------------
 #  result <- SplineOmics::run_gsea(
@@ -332,5 +330,8 @@ splineomics <- SplineOmics::run_limma_splines(
 #    clusterProfiler_params = clusterProfiler_params,
 #    report_info = report_info,
 #    report_dir = report_dir
-#    )
+#  )
+
+## ----sessionInfo, echo=FALSE--------------------------------------------------
+sessionInfo()
 
diff --git a/doc/get-started.Rmd b/doc/get-started.Rmd
index de48246..396679e 100755
--- a/doc/get-started.Rmd
+++ b/doc/get-started.Rmd
@@ -63,9 +63,9 @@ viewed [here](https://csbg.github.io/SplineOmics/reference)
 
 ```{r setup, eval = TRUE}
 library(SplineOmics)
-library(readxl)  # for loading Excel files
-library(here)    # For managing filepaths
-library(dplyr)   # For data manipulation
+library(readxl) # for loading Excel files
+library(here) # For managing filepaths
+library(dplyr) # For data manipulation
 ```
 
 # Load the files
@@ -96,12 +96,11 @@ the annotation info, which can be copied in a separate dataframe, as
 shown below.
 
 ```{r load the files}
-
 data <- readRDS(system.file(
   "extdata",
   "proteomics_data.rds",
   package = "SplineOmics"
-  ))
+))
 
 
 meta <- read_excel(
@@ -109,11 +108,11 @@ meta <- read_excel(
     "extdata",
     "proteomics_meta.xlsx",
     package = "SplineOmics"
-    )
   )
+)
 
 # Extract the annotation part from the dataframe.
-first_na_col <- which(is.na(data[1,]))[1]
+first_na_col <- which(is.na(data[1, ]))[1]
 annotation <- data |>
   dplyr::select((first_na_col + 1):ncol(data)) |>
   dplyr::slice(-c(1:3))
@@ -123,7 +122,7 @@ print(meta)
 print(annotation)
 ```
 
-Two comments about the characteristics the input data should have:
+Three comments about the characteristics the input data should have:
 
 -   The data must not contain any NA values or other special values, and
     must consist only of numbers. For example, the original proteomics
@@ -140,6 +139,9 @@ Two comments about the characteristics the input data should have:
     from normality. Proper transformation helps ensure that the
     assumptions underlying the statistical tests are met, leading to
     more accurate and trustworthy results.
+    
+-   The samples in the data should be independent of each other. Linear models,       such as those used in limma, assume that the observations (samples) are           independent. If there is a dependency between samples (e.g., repeated             measurements of the same subject), this assumption is violated, which can
+    lead to incorrect statistical inferences. 
 
 ## Bring the Inputs into the Standardized Format
 
@@ -185,10 +187,10 @@ data <- SplineOmics::extract_data(
   # The dataframe with the numbers on the left and info on the right.
   data = data,
   # Use this annotation column for the feature names.
-  feature_name_columns = c("Gene_name"),  
+  feature_name_columns = c("Gene_name"),
   # When TRUE, you must confirm that data is in the required format.
-  user_prompt = FALSE   
-  )
+  user_prompt = FALSE
+)
 ```
 
 # Perform EDA (exploratory data analysis)
@@ -257,7 +259,7 @@ optional arguments:
 
 ```{r Load EDA arguments, eval = TRUE}
 # Those fields are mandatory, because we believe that when such a report is
-# opened after half a year, those infos can be very helpful. 
+# opened after half a year, those infos can be very helpful.
 report_info <- list(
   omics_data_type = "PTX",
   data_description = "Proteomics data of CHO cells",
@@ -265,12 +267,12 @@ report_info <- list(
   analyst_name = "Thomas Rauter",
   contact_info = "thomas.rauter@plus.ac.at",
   project_name = "DGTX"
-  )
+)
 
 report_dir <- here::here(
   "results",
   "explore_data"
-  )
+)
 ```
 
 ## SplineOmics Object
@@ -328,12 +330,12 @@ splineomics <- SplineOmics::create_splineomics(
   meta = meta,
   annotation = annotation,
   report_info = report_info,
-  condition = "Phase",  # Column of meta that contains the levels.
-  meta_batch_column = "Reactor"  # For batch effect removal
+  condition = "Phase", # Column of meta that contains the levels.
+  meta_batch_column = "Reactor" # For batch effect removal
 )
 
 # Special print.SplineOmics function leads to selective printing
-print(splineomics)   
+print(splineomics)
 ```
 
 Now that we have the SplineOmics object defined, we can perform our
@@ -341,10 +343,9 @@ exploratory data analysis.
 
 ```{r Run EDA function, eval = FALSE}
 plots <- SplineOmics::explore_data(
-  splineomics = splineomics,   # SplineOmics object
+  splineomics = splineomics, # SplineOmics object
   report_dir = report_dir
-  )
-
+)
 ```
 
 [Here](https://csbg.github.io/SplineOmics_html_reports/explore_data_PTX.html)
@@ -473,77 +474,77 @@ select the optimal hyperparameters for your analysis.
 Below is an example for our proteomics data:
 
 ```{r Load hyperparameter-screening args, eval = TRUE}
-data1 <- data 
+data1 <- data
 meta1 <- meta
 
 # Remove the "outliers"
 data2 <- data[, !(colnames(data) %in% c(
-  "E12_TP05_Exponential", 
+  "E12_TP05_Exponential",
   "E10_TP10_Stationary"
-  )
-  )]
+)
+)]
 
 # Adjust meta so that it matches data2
 meta2 <- meta[!meta$Sample.ID %in% c(
-  "E12_TP05_Exponential", 
+  "E12_TP05_Exponential",
   "E10_TP10_Stationary"
-  ), ]
+), ]
 
-# As mentioned above, all the values of one hyperparameter are stored 
+# As mentioned above, all the values of one hyperparameter are stored
 # and provided as a list.
-datas <- list(data1, data2) 
+datas <- list(data1, data2)
 
 # This will be used to describe the versions of the data.
 datas_descr <- c(
   "full_data",
   "outliers_removed"
-  ) 
+)
 
-metas <- list(meta1, meta2) 
+metas <- list(meta1, meta2)
 
 # Test two different limma designs
 designs <- c(
   "~ 1 + Phase*X + Reactor",
   "~ 1 + X + Reactor"
-  ) 
+)
 
 # 'Integrated means' limma will use the full dataset to generate the results for
-# each condition. 'Isolated' means limma will use only the respective part of 
-# the dataset for each condition. Designs that contain the condition column 
+# each condition. 'Isolated' means limma will use only the respective part of
+# the dataset for each condition. Designs that contain the condition column
 # (here Phase) must have mode 'integrated', because the full data is needed to
 # include the different conditions into the design formula.
 modes <- c(
   "integrated",
   "isolated"
-  )
+)
 
 # Specify the meta "level" column
-condition <- "Phase" 
+condition <- "Phase"
 
 report_dir <- here::here(
   "results",
   "hyperparams_screen_reports"
-  ) 
+)
 
 # To remove the batch effect
-meta_batch_column = "Reactor" 
+meta_batch_column <- "Reactor"
 
 # Test out two different p-value thresholds (inner hyperparameter)
 adj_pthresholds <- c(
   0.05,
   0.1
-  )
+)
 
 # Create a dataframe with combinations of spline parameters to test
 # (every row a combo to test)
 spline_test_configs <- data.frame(
-   # 'n' stands for natural cubic splines, b for B-splines.
-  spline_type = c("n", "n", "b", "b"),  
+  # 'n' stands for natural cubic splines, b for B-splines.
+  spline_type = c("n", "n", "b", "b"),
   # Degree is not applicable (NA) for natural splines.
-  degree = c(NA, NA, 2L, 4L),           
+  degree = c(NA, NA, 2L, 4L),
   # Degrees of freedom (DoF) to test.
   # Higher dof means spline can fit more complex patterns.
-  dof = c(2L, 3L, 3L, 4L)         
+  dof = c(2L, 3L, 3L, 4L)
 )
 
 print(spline_test_configs)
@@ -563,8 +564,7 @@ SplineOmics::screen_limma_hyperparams(
   spline_test_configs = spline_test_configs,
   report_dir = report_dir,
   adj_pthresholds = adj_pthresholds,
-  )
-
+)
 ```
 
 As mentioned, this function generates a report for each comparison of
@@ -607,14 +607,14 @@ To generate the limma result categories 2 and 3 ()
 ```{r Update the SplineOmics object, eval = TRUE}
 splineomics <- SplineOmics::update_splineomics(
   splineomics = splineomics,
-  design = "~ 1 + Phase*X + Reactor",  # best design formula
-  mode = "integrated",  # means limma uses the full data for each condition.
-  data = data2,   # data without "outliers" was better
-  meta = meta2,  
+  design = "~ 1 + Phase*X + Reactor", # best design formula
+  mode = "integrated", # means limma uses the full data for each condition.
+  data = data2, # data without "outliers" was better
+  meta = meta2,
   spline_params = list(
-    spline_type = c("n"),   # natural cubic splines (take these if unsure)
-    dof = c(2L)  # If you are unsure about which dof, start with 2 and increase
-    )
+    spline_type = c("n"), # natural cubic splines (take these if unsure)
+    dof = c(2L) # If you are unsure about which dof, start with 2 and increase
+  )
 )
 ```
 
@@ -624,7 +624,7 @@ object:
 ```{r limma spline analysis, eval = TRUE}
 splineomics <- SplineOmics::run_limma_splines(
   splineomics = splineomics
-  )
+)
 ```
 
 The output of the function run_limma_splines() is a named list, where
@@ -655,12 +655,12 @@ generate p-value histograms an volcano plots.
 report_dir <- here::here(
   "results",
   "create_limma_reports"
-  )
+)
 
 plots <- SplineOmics::create_limma_report(
   splineomics = splineomics,
   report_dir = report_dir
-  )
+)
 ```
 
 You can view the generated analysis report of the create_limma_report
@@ -687,26 +687,26 @@ Hierarchical clustering is used to place every hit in one of as many
 clusters as we have specified for that specific level.
 
 ```{r cluster the hits, eval = FALSE}
-adj_pthresholds <- c(  # 0.05 for both levels
-  0.05,  # exponential
-  0.05   # stationary
-  )
+adj_pthresholds <- c( # 0.05 for both levels
+  0.05, # exponential
+  0.05 # stationary
+)
 
 clusters <- c(
-  6L,  # 6 clusters for the exponential phase level
-  3L   # 3 clusters for the stationary phase level
-  )
+  6L, # 6 clusters for the exponential phase level
+  3L # 3 clusters for the stationary phase level
+)
 
 report_dir <- here::here(
   "results",
   "clustering_reports"
-  )
+)
 
-plot_info = list(  # For the spline plots
+plot_info <- list( # For the spline plots
   y_axis_label = "log2 intensity",
-  time_unit = "min",  # our measurements were in minutes
-  treatment_labels = list("feeding"),  # add this for all conditions
-  treatment_timepoints = list(0)  # Feeding was at 0 minutes.
+  time_unit = "min", # our measurements were in minutes
+  treatment_labels = list("feeding"), # add this for all conditions
+  treatment_timepoints = list(0) # Feeding was at 0 minutes.
 )
 
 # Like this you can add individual treatment labels to your plots:
@@ -714,14 +714,14 @@ plot_info = list(  # For the spline plots
 #   exponential = "treatment 1", # One treatment in exp
 #   stationary = c("treatment 2", "treatment 3")  # Two treatments in stat
 #   additional_condition = NA  # No treatment in the hypothetical third condition
-#   ) 
-# 
+#   )
+#
 # treatment_timepoints = list(
 #   exponential = 0,
 #   stationary = C(100, 140),  # Two treatments also need two timepoints
 #   additional_condition = NA
-#   )  
-# 
+#   )
+#
 # or set a treatment for ALL conditions (still always make a list):
 #
 # treatment_labels = list("treatment")
@@ -740,10 +740,10 @@ plot_info = list(  # For the spline plots
 gene_column_name <- "Gene_symbol"
 genes <- annotation[[gene_column_name]]
 
-plot_options = list(
+plot_options <- list(
   # When meta_replicate_column is not there, all datapoints are blue.
-  meta_replicate_column = "Reactor",  # Colors the data points based on Reactor
-  cluster_heatmap_columns = FALSE   # Per default FALSE, just for demonstration
+  meta_replicate_column = "Reactor", # Colors the data points based on Reactor
+  cluster_heatmap_columns = FALSE # Per default FALSE, just for demonstration
 )
 
 clustering_results <- SplineOmics::cluster_hits(
@@ -756,7 +756,7 @@ clustering_results <- SplineOmics::cluster_hits(
   report_dir = report_dir,
   adj_pthresh_avrg_diff_conditions = 0,
   adj_pthresh_interaction_condition_time = 0.25
-  )
+)
 ```
 
 You can view the generated analysis report of the cluster_hits function
@@ -789,11 +789,12 @@ gene_set_lib <- c(
   "GO_Biological_Process_2018",
   "GO_Molecular_Function_2018",
   "Human_Gene_Atlas"
-  )
+)
 
 SplineOmics::download_enrichr_databases(
   gene_set_lib = gene_set_lib,
-  filename = "databases.tsv")
+  filename = "databases.tsv"
+)
 ```
 
 Per default the file is placed in the current working directory, which
@@ -823,12 +824,12 @@ clusterProfiler_params <- list(
   minGSSize = 10,
   maxGSSize = 500,
   qvalueCutoff = 0.2
-  )
+)
 
 report_dir <- here::here(
   "results",
   "gsea_reports"
-  )
+)
 ```
 
 The function below runs the clusterProfiler for all clusters and all
@@ -844,7 +845,7 @@ result <- SplineOmics::run_gsea(
   clusterProfiler_params = clusterProfiler_params,
   report_info = report_info,
   report_dir = report_dir
-  )
+)
 ```
 
 You can view the generated analysis report of the cluster_hits function
@@ -890,3 +891,8 @@ We hope that the SplineOmics package makes your scientific data analysis
 easier. If you face any problems (bugs in the code) or are not satisfied
 with the documentation, open an issue on GitHub or check out the other
 options under the Feedback section of the README on GitHub. Thank you!
+
+```{r sessionInfo, echo=FALSE}
+sessionInfo()
+```
+
diff --git a/doc/get-started.html b/doc/get-started.html
index ec1bfcf..f3256fa 100644
--- a/doc/get-started.html
+++ b/doc/get-started.html
@@ -391,10 +391,10 @@ <h3>Note</h3>
 <div id="load-the-packages" class="section level1">
 <h1>Load the packages</h1>
 <div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">library</span>(SplineOmics)</span>
-<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="fu">library</span>(readxl)  <span class="co"># for loading Excel files</span></span>
-<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="fu">library</span>(here)    <span class="co"># For managing filepaths</span></span>
+<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="fu">library</span>(readxl) <span class="co"># for loading Excel files</span></span>
+<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a><span class="fu">library</span>(here) <span class="co"># For managing filepaths</span></span>
 <span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co">#&gt; here() starts at /home/thomas/Documents/PhD/projects/DGTX/R_packages/SplineOmics</span></span>
-<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="fu">library</span>(dplyr)   <span class="co"># For data manipulation</span></span>
+<span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a><span class="fu">library</span>(dplyr) <span class="co"># For data manipulation</span></span>
 <span id="cb1-6"><a href="#cb1-6" tabindex="-1"></a><span class="co">#&gt; </span></span>
 <span id="cb1-7"><a href="#cb1-7" tabindex="-1"></a><span class="co">#&gt; Attaching package: &#39;dplyr&#39;</span></span>
 <span id="cb1-8"><a href="#cb1-8" tabindex="-1"></a><span class="co">#&gt; The following objects are masked from &#39;package:stats&#39;:</span></span>
@@ -426,75 +426,74 @@ <h1>Load the files</h1>
 <p>The left part of data contains the numeric values, and the right part
 the annotation info, which can be copied in a separate dataframe, as
 shown below.</p>
-<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a></span>
-<span id="cb2-2"><a href="#cb2-2" tabindex="-1"></a>data <span class="ot">&lt;-</span> <span class="fu">readRDS</span>(<span class="fu">system.file</span>(</span>
-<span id="cb2-3"><a href="#cb2-3" tabindex="-1"></a>  <span class="st">&quot;extdata&quot;</span>,</span>
-<span id="cb2-4"><a href="#cb2-4" tabindex="-1"></a>  <span class="st">&quot;proteomics_data.rds&quot;</span>,</span>
-<span id="cb2-5"><a href="#cb2-5" tabindex="-1"></a>  <span class="at">package =</span> <span class="st">&quot;SplineOmics&quot;</span></span>
-<span id="cb2-6"><a href="#cb2-6" tabindex="-1"></a>  ))</span>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a>data <span class="ot">&lt;-</span> <span class="fu">readRDS</span>(<span class="fu">system.file</span>(</span>
+<span id="cb2-2"><a href="#cb2-2" tabindex="-1"></a>  <span class="st">&quot;extdata&quot;</span>,</span>
+<span id="cb2-3"><a href="#cb2-3" tabindex="-1"></a>  <span class="st">&quot;proteomics_data.rds&quot;</span>,</span>
+<span id="cb2-4"><a href="#cb2-4" tabindex="-1"></a>  <span class="at">package =</span> <span class="st">&quot;SplineOmics&quot;</span></span>
+<span id="cb2-5"><a href="#cb2-5" tabindex="-1"></a>))</span>
+<span id="cb2-6"><a href="#cb2-6" tabindex="-1"></a></span>
 <span id="cb2-7"><a href="#cb2-7" tabindex="-1"></a></span>
-<span id="cb2-8"><a href="#cb2-8" tabindex="-1"></a></span>
-<span id="cb2-9"><a href="#cb2-9" tabindex="-1"></a>meta <span class="ot">&lt;-</span> <span class="fu">read_excel</span>(</span>
-<span id="cb2-10"><a href="#cb2-10" tabindex="-1"></a>  <span class="fu">system.file</span>(</span>
-<span id="cb2-11"><a href="#cb2-11" tabindex="-1"></a>    <span class="st">&quot;extdata&quot;</span>,</span>
-<span id="cb2-12"><a href="#cb2-12" tabindex="-1"></a>    <span class="st">&quot;proteomics_meta.xlsx&quot;</span>,</span>
-<span id="cb2-13"><a href="#cb2-13" tabindex="-1"></a>    <span class="at">package =</span> <span class="st">&quot;SplineOmics&quot;</span></span>
-<span id="cb2-14"><a href="#cb2-14" tabindex="-1"></a>    )</span>
-<span id="cb2-15"><a href="#cb2-15" tabindex="-1"></a>  )</span>
-<span id="cb2-16"><a href="#cb2-16" tabindex="-1"></a></span>
-<span id="cb2-17"><a href="#cb2-17" tabindex="-1"></a><span class="co"># Extract the annotation part from the dataframe.</span></span>
-<span id="cb2-18"><a href="#cb2-18" tabindex="-1"></a>first_na_col <span class="ot">&lt;-</span> <span class="fu">which</span>(<span class="fu">is.na</span>(data[<span class="dv">1</span>,]))[<span class="dv">1</span>]</span>
-<span id="cb2-19"><a href="#cb2-19" tabindex="-1"></a>annotation <span class="ot">&lt;-</span> data <span class="sc">|&gt;</span></span>
-<span id="cb2-20"><a href="#cb2-20" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>((first_na_col <span class="sc">+</span> <span class="dv">1</span>)<span class="sc">:</span><span class="fu">ncol</span>(data)) <span class="sc">|&gt;</span></span>
-<span id="cb2-21"><a href="#cb2-21" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">slice</span>(<span class="sc">-</span><span class="fu">c</span>(<span class="dv">1</span><span class="sc">:</span><span class="dv">3</span>))</span>
-<span id="cb2-22"><a href="#cb2-22" tabindex="-1"></a></span>
-<span id="cb2-23"><a href="#cb2-23" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">head</span>(data))</span>
-<span id="cb2-24"><a href="#cb2-24" tabindex="-1"></a><span class="co">#&gt; # A tibble: 6 × 40</span></span>
-<span id="cb2-25"><a href="#cb2-25" tabindex="-1"></a><span class="co">#&gt;   `Sample ID`  `1`   `2`   `3`   `4`   `5`   `6`   `7`   `8`   `9`   `10`  `11` </span></span>
-<span id="cb2-26"><a href="#cb2-26" tabindex="-1"></a><span class="co">#&gt;   &lt;chr&gt;        &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt;</span></span>
-<span id="cb2-27"><a href="#cb2-27" tabindex="-1"></a><span class="co">#&gt; 1 Reactor      E09   E10   E12   E09   E10   E12   E09   E10   E12   E09   E10  </span></span>
-<span id="cb2-28"><a href="#cb2-28" tabindex="-1"></a><span class="co">#&gt; 2 Time Point   TP01  TP01  TP01  TP02  TP02  TP02  TP03  TP03  TP03  TP04  TP04 </span></span>
-<span id="cb2-29"><a href="#cb2-29" tabindex="-1"></a><span class="co">#&gt; 3 Phase of Fe… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo…</span></span>
-<span id="cb2-30"><a href="#cb2-30" tabindex="-1"></a><span class="co">#&gt; 4 &lt;NA&gt;         15.2… 15.2… 15.3… 15.1… 15.2… 15.0… 15.2… 15.2… 15.2… 15.1… 15.2…</span></span>
-<span id="cb2-31"><a href="#cb2-31" tabindex="-1"></a><span class="co">#&gt; 5 &lt;NA&gt;         15.0… 15.1… 15.2… 15.1… 15.1… 15.2… 15.2… 15.3… 15.2… 15.1… 15.1…</span></span>
-<span id="cb2-32"><a href="#cb2-32" tabindex="-1"></a><span class="co">#&gt; 6 &lt;NA&gt;         14.5… 14.7… 14.6… 14.5… 14.6… 14.6… 14.5… 14.6… 14.7… 14.5… 14.6…</span></span>
-<span id="cb2-33"><a href="#cb2-33" tabindex="-1"></a><span class="co">#&gt; # ℹ 28 more variables: `12` &lt;chr&gt;, `13` &lt;chr&gt;, `14` &lt;chr&gt;, `15` &lt;chr&gt;,</span></span>
-<span id="cb2-34"><a href="#cb2-34" tabindex="-1"></a><span class="co">#&gt; #   `16` &lt;chr&gt;, `17` &lt;chr&gt;, `18` &lt;chr&gt;, `19` &lt;chr&gt;, `20` &lt;chr&gt;, `21` &lt;chr&gt;,</span></span>
-<span id="cb2-35"><a href="#cb2-35" tabindex="-1"></a><span class="co">#&gt; #   `22` &lt;chr&gt;, `23` &lt;chr&gt;, `24` &lt;chr&gt;, `25` &lt;chr&gt;, `26` &lt;chr&gt;, `27` &lt;chr&gt;,</span></span>
-<span id="cb2-36"><a href="#cb2-36" tabindex="-1"></a><span class="co">#&gt; #   `28` &lt;chr&gt;, `29` &lt;chr&gt;, `30` &lt;chr&gt;, `31` &lt;chr&gt;, `32` &lt;chr&gt;, `33` &lt;chr&gt;,</span></span>
-<span id="cb2-37"><a href="#cb2-37" tabindex="-1"></a><span class="co">#&gt; #   `34` &lt;chr&gt;, `35` &lt;chr&gt;, `36` &lt;chr&gt;, ...38 &lt;lgl&gt;, Gene_symbol &lt;chr&gt;,</span></span>
-<span id="cb2-38"><a href="#cb2-38" tabindex="-1"></a><span class="co">#&gt; #   Gene_name &lt;chr&gt;</span></span>
-<span id="cb2-39"><a href="#cb2-39" tabindex="-1"></a><span class="fu">print</span>(meta)</span>
-<span id="cb2-40"><a href="#cb2-40" tabindex="-1"></a><span class="co">#&gt; # A tibble: 36 × 5</span></span>
-<span id="cb2-41"><a href="#cb2-41" tabindex="-1"></a><span class="co">#&gt;    Sample.ID            Reactor Time.Point Phase        Time</span></span>
-<span id="cb2-42"><a href="#cb2-42" tabindex="-1"></a><span class="co">#&gt;    &lt;chr&gt;                &lt;chr&gt;   &lt;chr&gt;      &lt;chr&gt;       &lt;dbl&gt;</span></span>
-<span id="cb2-43"><a href="#cb2-43" tabindex="-1"></a><span class="co">#&gt;  1 E09_TP01_Exponential E09     TP01       Exponential   -60</span></span>
-<span id="cb2-44"><a href="#cb2-44" tabindex="-1"></a><span class="co">#&gt;  2 E10_TP01_Exponential E10     TP01       Exponential   -60</span></span>
-<span id="cb2-45"><a href="#cb2-45" tabindex="-1"></a><span class="co">#&gt;  3 E12_TP01_Exponential E12     TP01       Exponential   -60</span></span>
-<span id="cb2-46"><a href="#cb2-46" tabindex="-1"></a><span class="co">#&gt;  4 E09_TP02_Exponential E09     TP02       Exponential    15</span></span>
-<span id="cb2-47"><a href="#cb2-47" tabindex="-1"></a><span class="co">#&gt;  5 E10_TP02_Exponential E10     TP02       Exponential    15</span></span>
-<span id="cb2-48"><a href="#cb2-48" tabindex="-1"></a><span class="co">#&gt;  6 E12_TP02_Exponential E12     TP02       Exponential    15</span></span>
-<span id="cb2-49"><a href="#cb2-49" tabindex="-1"></a><span class="co">#&gt;  7 E09_TP03_Exponential E09     TP03       Exponential    60</span></span>
-<span id="cb2-50"><a href="#cb2-50" tabindex="-1"></a><span class="co">#&gt;  8 E10_TP03_Exponential E10     TP03       Exponential    60</span></span>
-<span id="cb2-51"><a href="#cb2-51" tabindex="-1"></a><span class="co">#&gt;  9 E12_TP03_Exponential E12     TP03       Exponential    60</span></span>
-<span id="cb2-52"><a href="#cb2-52" tabindex="-1"></a><span class="co">#&gt; 10 E09_TP04_Exponential E09     TP04       Exponential    90</span></span>
-<span id="cb2-53"><a href="#cb2-53" tabindex="-1"></a><span class="co">#&gt; # ℹ 26 more rows</span></span>
-<span id="cb2-54"><a href="#cb2-54" tabindex="-1"></a><span class="fu">print</span>(annotation)</span>
-<span id="cb2-55"><a href="#cb2-55" tabindex="-1"></a><span class="co">#&gt; # A tibble: 4,162 × 2</span></span>
-<span id="cb2-56"><a href="#cb2-56" tabindex="-1"></a><span class="co">#&gt;    Gene_symbol  Gene_name                                              </span></span>
-<span id="cb2-57"><a href="#cb2-57" tabindex="-1"></a><span class="co">#&gt;    &lt;chr&gt;        &lt;chr&gt;                                                  </span></span>
-<span id="cb2-58"><a href="#cb2-58" tabindex="-1"></a><span class="co">#&gt;  1 LOC113838844 cone-rod homeobox protein-like                         </span></span>
-<span id="cb2-59"><a href="#cb2-59" tabindex="-1"></a><span class="co">#&gt;  2 Wdr83os      WD repeat domain 83 opposite strand                    </span></span>
-<span id="cb2-60"><a href="#cb2-60" tabindex="-1"></a><span class="co">#&gt;  3 Cubn         cubilin                                                </span></span>
-<span id="cb2-61"><a href="#cb2-61" tabindex="-1"></a><span class="co">#&gt;  4 Dynlt1       dynein light chain Tctex-type 1                        </span></span>
-<span id="cb2-62"><a href="#cb2-62" tabindex="-1"></a><span class="co">#&gt;  5 Ostc         oligosaccharyltransferase complex non-catalytic subunit</span></span>
-<span id="cb2-63"><a href="#cb2-63" tabindex="-1"></a><span class="co">#&gt;  6 Unc5cl       unc-5 family C-terminal like                           </span></span>
-<span id="cb2-64"><a href="#cb2-64" tabindex="-1"></a><span class="co">#&gt;  7 Cfl1         cofilin 1                                              </span></span>
-<span id="cb2-65"><a href="#cb2-65" tabindex="-1"></a><span class="co">#&gt;  8 LOC100752202 HEN methyltransferase 1                                </span></span>
-<span id="cb2-66"><a href="#cb2-66" tabindex="-1"></a><span class="co">#&gt;  9 LOC100755162 acyl-coenzyme A synthetase ACSM5, mitochondrial        </span></span>
-<span id="cb2-67"><a href="#cb2-67" tabindex="-1"></a><span class="co">#&gt; 10 LOC100768921 40S ribosomal protein S21                              </span></span>
-<span id="cb2-68"><a href="#cb2-68" tabindex="-1"></a><span class="co">#&gt; # ℹ 4,152 more rows</span></span></code></pre></div>
-<p>Two comments about the characteristics the input data should
+<span id="cb2-8"><a href="#cb2-8" tabindex="-1"></a>meta <span class="ot">&lt;-</span> <span class="fu">read_excel</span>(</span>
+<span id="cb2-9"><a href="#cb2-9" tabindex="-1"></a>  <span class="fu">system.file</span>(</span>
+<span id="cb2-10"><a href="#cb2-10" tabindex="-1"></a>    <span class="st">&quot;extdata&quot;</span>,</span>
+<span id="cb2-11"><a href="#cb2-11" tabindex="-1"></a>    <span class="st">&quot;proteomics_meta.xlsx&quot;</span>,</span>
+<span id="cb2-12"><a href="#cb2-12" tabindex="-1"></a>    <span class="at">package =</span> <span class="st">&quot;SplineOmics&quot;</span></span>
+<span id="cb2-13"><a href="#cb2-13" tabindex="-1"></a>  )</span>
+<span id="cb2-14"><a href="#cb2-14" tabindex="-1"></a>)</span>
+<span id="cb2-15"><a href="#cb2-15" tabindex="-1"></a></span>
+<span id="cb2-16"><a href="#cb2-16" tabindex="-1"></a><span class="co"># Extract the annotation part from the dataframe.</span></span>
+<span id="cb2-17"><a href="#cb2-17" tabindex="-1"></a>first_na_col <span class="ot">&lt;-</span> <span class="fu">which</span>(<span class="fu">is.na</span>(data[<span class="dv">1</span>, ]))[<span class="dv">1</span>]</span>
+<span id="cb2-18"><a href="#cb2-18" tabindex="-1"></a>annotation <span class="ot">&lt;-</span> data <span class="sc">|&gt;</span></span>
+<span id="cb2-19"><a href="#cb2-19" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">select</span>((first_na_col <span class="sc">+</span> <span class="dv">1</span>)<span class="sc">:</span><span class="fu">ncol</span>(data)) <span class="sc">|&gt;</span></span>
+<span id="cb2-20"><a href="#cb2-20" tabindex="-1"></a>  dplyr<span class="sc">::</span><span class="fu">slice</span>(<span class="sc">-</span><span class="fu">c</span>(<span class="dv">1</span><span class="sc">:</span><span class="dv">3</span>))</span>
+<span id="cb2-21"><a href="#cb2-21" tabindex="-1"></a></span>
+<span id="cb2-22"><a href="#cb2-22" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">head</span>(data))</span>
+<span id="cb2-23"><a href="#cb2-23" tabindex="-1"></a><span class="co">#&gt; # A tibble: 6 × 40</span></span>
+<span id="cb2-24"><a href="#cb2-24" tabindex="-1"></a><span class="co">#&gt;   `Sample ID`  `1`   `2`   `3`   `4`   `5`   `6`   `7`   `8`   `9`   `10`  `11` </span></span>
+<span id="cb2-25"><a href="#cb2-25" tabindex="-1"></a><span class="co">#&gt;   &lt;chr&gt;        &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt;</span></span>
+<span id="cb2-26"><a href="#cb2-26" tabindex="-1"></a><span class="co">#&gt; 1 Reactor      E09   E10   E12   E09   E10   E12   E09   E10   E12   E09   E10  </span></span>
+<span id="cb2-27"><a href="#cb2-27" tabindex="-1"></a><span class="co">#&gt; 2 Time Point   TP01  TP01  TP01  TP02  TP02  TP02  TP03  TP03  TP03  TP04  TP04 </span></span>
+<span id="cb2-28"><a href="#cb2-28" tabindex="-1"></a><span class="co">#&gt; 3 Phase of Fe… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo… Expo…</span></span>
+<span id="cb2-29"><a href="#cb2-29" tabindex="-1"></a><span class="co">#&gt; 4 &lt;NA&gt;         15.2… 15.2… 15.3… 15.1… 15.2… 15.0… 15.2… 15.2… 15.2… 15.1… 15.2…</span></span>
+<span id="cb2-30"><a href="#cb2-30" tabindex="-1"></a><span class="co">#&gt; 5 &lt;NA&gt;         15.0… 15.1… 15.2… 15.1… 15.1… 15.2… 15.2… 15.3… 15.2… 15.1… 15.1…</span></span>
+<span id="cb2-31"><a href="#cb2-31" tabindex="-1"></a><span class="co">#&gt; 6 &lt;NA&gt;         14.5… 14.7… 14.6… 14.5… 14.6… 14.6… 14.5… 14.6… 14.7… 14.5… 14.6…</span></span>
+<span id="cb2-32"><a href="#cb2-32" tabindex="-1"></a><span class="co">#&gt; # ℹ 28 more variables: `12` &lt;chr&gt;, `13` &lt;chr&gt;, `14` &lt;chr&gt;, `15` &lt;chr&gt;,</span></span>
+<span id="cb2-33"><a href="#cb2-33" tabindex="-1"></a><span class="co">#&gt; #   `16` &lt;chr&gt;, `17` &lt;chr&gt;, `18` &lt;chr&gt;, `19` &lt;chr&gt;, `20` &lt;chr&gt;, `21` &lt;chr&gt;,</span></span>
+<span id="cb2-34"><a href="#cb2-34" tabindex="-1"></a><span class="co">#&gt; #   `22` &lt;chr&gt;, `23` &lt;chr&gt;, `24` &lt;chr&gt;, `25` &lt;chr&gt;, `26` &lt;chr&gt;, `27` &lt;chr&gt;,</span></span>
+<span id="cb2-35"><a href="#cb2-35" tabindex="-1"></a><span class="co">#&gt; #   `28` &lt;chr&gt;, `29` &lt;chr&gt;, `30` &lt;chr&gt;, `31` &lt;chr&gt;, `32` &lt;chr&gt;, `33` &lt;chr&gt;,</span></span>
+<span id="cb2-36"><a href="#cb2-36" tabindex="-1"></a><span class="co">#&gt; #   `34` &lt;chr&gt;, `35` &lt;chr&gt;, `36` &lt;chr&gt;, ...38 &lt;lgl&gt;, Gene_symbol &lt;chr&gt;,</span></span>
+<span id="cb2-37"><a href="#cb2-37" tabindex="-1"></a><span class="co">#&gt; #   Gene_name &lt;chr&gt;</span></span>
+<span id="cb2-38"><a href="#cb2-38" tabindex="-1"></a><span class="fu">print</span>(meta)</span>
+<span id="cb2-39"><a href="#cb2-39" tabindex="-1"></a><span class="co">#&gt; # A tibble: 36 × 5</span></span>
+<span id="cb2-40"><a href="#cb2-40" tabindex="-1"></a><span class="co">#&gt;    Sample.ID            Reactor Time.Point Phase        Time</span></span>
+<span id="cb2-41"><a href="#cb2-41" tabindex="-1"></a><span class="co">#&gt;    &lt;chr&gt;                &lt;chr&gt;   &lt;chr&gt;      &lt;chr&gt;       &lt;dbl&gt;</span></span>
+<span id="cb2-42"><a href="#cb2-42" tabindex="-1"></a><span class="co">#&gt;  1 E09_TP01_Exponential E09     TP01       Exponential   -60</span></span>
+<span id="cb2-43"><a href="#cb2-43" tabindex="-1"></a><span class="co">#&gt;  2 E10_TP01_Exponential E10     TP01       Exponential   -60</span></span>
+<span id="cb2-44"><a href="#cb2-44" tabindex="-1"></a><span class="co">#&gt;  3 E12_TP01_Exponential E12     TP01       Exponential   -60</span></span>
+<span id="cb2-45"><a href="#cb2-45" tabindex="-1"></a><span class="co">#&gt;  4 E09_TP02_Exponential E09     TP02       Exponential    15</span></span>
+<span id="cb2-46"><a href="#cb2-46" tabindex="-1"></a><span class="co">#&gt;  5 E10_TP02_Exponential E10     TP02       Exponential    15</span></span>
+<span id="cb2-47"><a href="#cb2-47" tabindex="-1"></a><span class="co">#&gt;  6 E12_TP02_Exponential E12     TP02       Exponential    15</span></span>
+<span id="cb2-48"><a href="#cb2-48" tabindex="-1"></a><span class="co">#&gt;  7 E09_TP03_Exponential E09     TP03       Exponential    60</span></span>
+<span id="cb2-49"><a href="#cb2-49" tabindex="-1"></a><span class="co">#&gt;  8 E10_TP03_Exponential E10     TP03       Exponential    60</span></span>
+<span id="cb2-50"><a href="#cb2-50" tabindex="-1"></a><span class="co">#&gt;  9 E12_TP03_Exponential E12     TP03       Exponential    60</span></span>
+<span id="cb2-51"><a href="#cb2-51" tabindex="-1"></a><span class="co">#&gt; 10 E09_TP04_Exponential E09     TP04       Exponential    90</span></span>
+<span id="cb2-52"><a href="#cb2-52" tabindex="-1"></a><span class="co">#&gt; # ℹ 26 more rows</span></span>
+<span id="cb2-53"><a href="#cb2-53" tabindex="-1"></a><span class="fu">print</span>(annotation)</span>
+<span id="cb2-54"><a href="#cb2-54" tabindex="-1"></a><span class="co">#&gt; # A tibble: 4,162 × 2</span></span>
+<span id="cb2-55"><a href="#cb2-55" tabindex="-1"></a><span class="co">#&gt;    Gene_symbol  Gene_name                                              </span></span>
+<span id="cb2-56"><a href="#cb2-56" tabindex="-1"></a><span class="co">#&gt;    &lt;chr&gt;        &lt;chr&gt;                                                  </span></span>
+<span id="cb2-57"><a href="#cb2-57" tabindex="-1"></a><span class="co">#&gt;  1 LOC113838844 cone-rod homeobox protein-like                         </span></span>
+<span id="cb2-58"><a href="#cb2-58" tabindex="-1"></a><span class="co">#&gt;  2 Wdr83os      WD repeat domain 83 opposite strand                    </span></span>
+<span id="cb2-59"><a href="#cb2-59" tabindex="-1"></a><span class="co">#&gt;  3 Cubn         cubilin                                                </span></span>
+<span id="cb2-60"><a href="#cb2-60" tabindex="-1"></a><span class="co">#&gt;  4 Dynlt1       dynein light chain Tctex-type 1                        </span></span>
+<span id="cb2-61"><a href="#cb2-61" tabindex="-1"></a><span class="co">#&gt;  5 Ostc         oligosaccharyltransferase complex non-catalytic subunit</span></span>
+<span id="cb2-62"><a href="#cb2-62" tabindex="-1"></a><span class="co">#&gt;  6 Unc5cl       unc-5 family C-terminal like                           </span></span>
+<span id="cb2-63"><a href="#cb2-63" tabindex="-1"></a><span class="co">#&gt;  7 Cfl1         cofilin 1                                              </span></span>
+<span id="cb2-64"><a href="#cb2-64" tabindex="-1"></a><span class="co">#&gt;  8 LOC100752202 HEN methyltransferase 1                                </span></span>
+<span id="cb2-65"><a href="#cb2-65" tabindex="-1"></a><span class="co">#&gt;  9 LOC100755162 acyl-coenzyme A synthetase ACSM5, mitochondrial        </span></span>
+<span id="cb2-66"><a href="#cb2-66" tabindex="-1"></a><span class="co">#&gt; 10 LOC100768921 40S ribosomal protein S21                              </span></span>
+<span id="cb2-67"><a href="#cb2-67" tabindex="-1"></a><span class="co">#&gt; # ℹ 4,152 more rows</span></span></code></pre></div>
+<p>Three comments about the characteristics the input data should
 have:</p>
 <ul>
 <li><p>The data must not contain any NA values or other special values,
@@ -511,6 +510,11 @@ <h1>Load the files</h1>
 normality. Proper transformation helps ensure that the assumptions
 underlying the statistical tests are met, leading to more accurate and
 trustworthy results.</p></li>
+<li><p>The samples in the data should be independent of each other.
+Linear models, such as those used in limma, assume that the observations
+(samples) are independent. If there is a dependency between samples
+(e.g., repeated measurements of the same subject), this assumption is
+violated, which can lead to incorrect statistical inferences.</p></li>
 </ul>
 <div id="bring-the-inputs-into-the-standardized-format" class="section level2">
 <h2>Bring the Inputs into the Standardized Format</h2>
@@ -560,10 +564,10 @@ <h3>Usage in Plotting</h3>
 <span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a>  <span class="co"># The dataframe with the numbers on the left and info on the right.</span></span>
 <span id="cb3-3"><a href="#cb3-3" tabindex="-1"></a>  <span class="at">data =</span> data,</span>
 <span id="cb3-4"><a href="#cb3-4" tabindex="-1"></a>  <span class="co"># Use this annotation column for the feature names.</span></span>
-<span id="cb3-5"><a href="#cb3-5" tabindex="-1"></a>  <span class="at">feature_name_columns =</span> <span class="fu">c</span>(<span class="st">&quot;Gene_name&quot;</span>),  </span>
+<span id="cb3-5"><a href="#cb3-5" tabindex="-1"></a>  <span class="at">feature_name_columns =</span> <span class="fu">c</span>(<span class="st">&quot;Gene_name&quot;</span>),</span>
 <span id="cb3-6"><a href="#cb3-6" tabindex="-1"></a>  <span class="co"># When TRUE, you must confirm that data is in the required format.</span></span>
-<span id="cb3-7"><a href="#cb3-7" tabindex="-1"></a>  <span class="at">user_prompt =</span> <span class="cn">FALSE</span>   </span>
-<span id="cb3-8"><a href="#cb3-8" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb3-7"><a href="#cb3-7" tabindex="-1"></a>  <span class="at">user_prompt =</span> <span class="cn">FALSE</span></span>
+<span id="cb3-8"><a href="#cb3-8" tabindex="-1"></a>)</span></code></pre></div>
 </div>
 </div>
 </div>
@@ -637,7 +641,7 @@ <h3>Output and Report Options</h3>
 just want the figures in the R environment)</li>
 </ul>
 <div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a><span class="co"># Those fields are mandatory, because we believe that when such a report is</span></span>
-<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a><span class="co"># opened after half a year, those infos can be very helpful. </span></span>
+<span id="cb4-2"><a href="#cb4-2" tabindex="-1"></a><span class="co"># opened after half a year, those infos can be very helpful.</span></span>
 <span id="cb4-3"><a href="#cb4-3" tabindex="-1"></a>report_info <span class="ot">&lt;-</span> <span class="fu">list</span>(</span>
 <span id="cb4-4"><a href="#cb4-4" tabindex="-1"></a>  <span class="at">omics_data_type =</span> <span class="st">&quot;PTX&quot;</span>,</span>
 <span id="cb4-5"><a href="#cb4-5" tabindex="-1"></a>  <span class="at">data_description =</span> <span class="st">&quot;Proteomics data of CHO cells&quot;</span>,</span>
@@ -645,12 +649,12 @@ <h3>Output and Report Options</h3>
 <span id="cb4-7"><a href="#cb4-7" tabindex="-1"></a>  <span class="at">analyst_name =</span> <span class="st">&quot;Thomas Rauter&quot;</span>,</span>
 <span id="cb4-8"><a href="#cb4-8" tabindex="-1"></a>  <span class="at">contact_info =</span> <span class="st">&quot;thomas.rauter@plus.ac.at&quot;</span>,</span>
 <span id="cb4-9"><a href="#cb4-9" tabindex="-1"></a>  <span class="at">project_name =</span> <span class="st">&quot;DGTX&quot;</span></span>
-<span id="cb4-10"><a href="#cb4-10" tabindex="-1"></a>  )</span>
+<span id="cb4-10"><a href="#cb4-10" tabindex="-1"></a>)</span>
 <span id="cb4-11"><a href="#cb4-11" tabindex="-1"></a></span>
 <span id="cb4-12"><a href="#cb4-12" tabindex="-1"></a>report_dir <span class="ot">&lt;-</span> here<span class="sc">::</span><span class="fu">here</span>(</span>
 <span id="cb4-13"><a href="#cb4-13" tabindex="-1"></a>  <span class="st">&quot;results&quot;</span>,</span>
 <span id="cb4-14"><a href="#cb4-14" tabindex="-1"></a>  <span class="st">&quot;explore_data&quot;</span></span>
-<span id="cb4-15"><a href="#cb4-15" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb4-15"><a href="#cb4-15" tabindex="-1"></a>)</span></code></pre></div>
 </div>
 <div id="splineomics-object" class="section level2">
 <h2>SplineOmics Object</h2>
@@ -713,12 +717,12 @@ <h2>Optional Arguments <code>create_splineomics()</code></h2>
 <span id="cb5-4"><a href="#cb5-4" tabindex="-1"></a>  <span class="at">meta =</span> meta,</span>
 <span id="cb5-5"><a href="#cb5-5" tabindex="-1"></a>  <span class="at">annotation =</span> annotation,</span>
 <span id="cb5-6"><a href="#cb5-6" tabindex="-1"></a>  <span class="at">report_info =</span> report_info,</span>
-<span id="cb5-7"><a href="#cb5-7" tabindex="-1"></a>  <span class="at">condition =</span> <span class="st">&quot;Phase&quot;</span>,  <span class="co"># Column of meta that contains the levels.</span></span>
-<span id="cb5-8"><a href="#cb5-8" tabindex="-1"></a>  <span class="at">meta_batch_column =</span> <span class="st">&quot;Reactor&quot;</span>  <span class="co"># For batch effect removal</span></span>
+<span id="cb5-7"><a href="#cb5-7" tabindex="-1"></a>  <span class="at">condition =</span> <span class="st">&quot;Phase&quot;</span>, <span class="co"># Column of meta that contains the levels.</span></span>
+<span id="cb5-8"><a href="#cb5-8" tabindex="-1"></a>  <span class="at">meta_batch_column =</span> <span class="st">&quot;Reactor&quot;</span> <span class="co"># For batch effect removal</span></span>
 <span id="cb5-9"><a href="#cb5-9" tabindex="-1"></a>)</span>
 <span id="cb5-10"><a href="#cb5-10" tabindex="-1"></a></span>
 <span id="cb5-11"><a href="#cb5-11" tabindex="-1"></a><span class="co"># Special print.SplineOmics function leads to selective printing</span></span>
-<span id="cb5-12"><a href="#cb5-12" tabindex="-1"></a><span class="fu">print</span>(splineomics)   </span>
+<span id="cb5-12"><a href="#cb5-12" tabindex="-1"></a><span class="fu">print</span>(splineomics)</span>
 <span id="cb5-13"><a href="#cb5-13" tabindex="-1"></a><span class="co">#&gt; data:SplineOmics Object</span></span>
 <span id="cb5-14"><a href="#cb5-14" tabindex="-1"></a><span class="co">#&gt; -------------------</span></span>
 <span id="cb5-15"><a href="#cb5-15" tabindex="-1"></a><span class="co">#&gt; Number of features (rows): 4162 </span></span>
@@ -739,9 +743,9 @@ <h2>Optional Arguments <code>create_splineomics()</code></h2>
 <p>Now that we have the SplineOmics object defined, we can perform our
 exploratory data analysis.</p>
 <div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a>plots <span class="ot">&lt;-</span> SplineOmics<span class="sc">::</span><span class="fu">explore_data</span>(</span>
-<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a>  <span class="at">splineomics =</span> splineomics,   <span class="co"># SplineOmics object</span></span>
+<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a>  <span class="at">splineomics =</span> splineomics, <span class="co"># SplineOmics object</span></span>
 <span id="cb6-3"><a href="#cb6-3" tabindex="-1"></a>  <span class="at">report_dir =</span> report_dir</span>
-<span id="cb6-4"><a href="#cb6-4" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb6-4"><a href="#cb6-4" tabindex="-1"></a>)</span></code></pre></div>
 <p><a href="https://csbg.github.io/SplineOmics_html_reports/explore_data_PTX.html">Here</a>
 you can see the HTML report of the explore_data() function with the NOT
 batch-corrected data, and <a href="https://csbg.github.io/SplineOmics_html_reports/explore_batch_corrected_data_PTX.html">here</a>
@@ -864,77 +868,77 @@ <h3>Example</h3>
 <p>This allows you to systematically explore different combinations and
 select the optimal hyperparameters for your analysis.</p>
 <p>Below is an example for our proteomics data:</p>
-<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" tabindex="-1"></a>data1 <span class="ot">&lt;-</span> data </span>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" tabindex="-1"></a>data1 <span class="ot">&lt;-</span> data</span>
 <span id="cb7-2"><a href="#cb7-2" tabindex="-1"></a>meta1 <span class="ot">&lt;-</span> meta</span>
 <span id="cb7-3"><a href="#cb7-3" tabindex="-1"></a></span>
 <span id="cb7-4"><a href="#cb7-4" tabindex="-1"></a><span class="co"># Remove the &quot;outliers&quot;</span></span>
 <span id="cb7-5"><a href="#cb7-5" tabindex="-1"></a>data2 <span class="ot">&lt;-</span> data[, <span class="sc">!</span>(<span class="fu">colnames</span>(data) <span class="sc">%in%</span> <span class="fu">c</span>(</span>
-<span id="cb7-6"><a href="#cb7-6" tabindex="-1"></a>  <span class="st">&quot;E12_TP05_Exponential&quot;</span>, </span>
+<span id="cb7-6"><a href="#cb7-6" tabindex="-1"></a>  <span class="st">&quot;E12_TP05_Exponential&quot;</span>,</span>
 <span id="cb7-7"><a href="#cb7-7" tabindex="-1"></a>  <span class="st">&quot;E10_TP10_Stationary&quot;</span></span>
-<span id="cb7-8"><a href="#cb7-8" tabindex="-1"></a>  )</span>
-<span id="cb7-9"><a href="#cb7-9" tabindex="-1"></a>  )]</span>
+<span id="cb7-8"><a href="#cb7-8" tabindex="-1"></a>)</span>
+<span id="cb7-9"><a href="#cb7-9" tabindex="-1"></a>)]</span>
 <span id="cb7-10"><a href="#cb7-10" tabindex="-1"></a></span>
 <span id="cb7-11"><a href="#cb7-11" tabindex="-1"></a><span class="co"># Adjust meta so that it matches data2</span></span>
 <span id="cb7-12"><a href="#cb7-12" tabindex="-1"></a>meta2 <span class="ot">&lt;-</span> meta[<span class="sc">!</span>meta<span class="sc">$</span>Sample.ID <span class="sc">%in%</span> <span class="fu">c</span>(</span>
-<span id="cb7-13"><a href="#cb7-13" tabindex="-1"></a>  <span class="st">&quot;E12_TP05_Exponential&quot;</span>, </span>
+<span id="cb7-13"><a href="#cb7-13" tabindex="-1"></a>  <span class="st">&quot;E12_TP05_Exponential&quot;</span>,</span>
 <span id="cb7-14"><a href="#cb7-14" tabindex="-1"></a>  <span class="st">&quot;E10_TP10_Stationary&quot;</span></span>
-<span id="cb7-15"><a href="#cb7-15" tabindex="-1"></a>  ), ]</span>
+<span id="cb7-15"><a href="#cb7-15" tabindex="-1"></a>), ]</span>
 <span id="cb7-16"><a href="#cb7-16" tabindex="-1"></a></span>
-<span id="cb7-17"><a href="#cb7-17" tabindex="-1"></a><span class="co"># As mentioned above, all the values of one hyperparameter are stored </span></span>
+<span id="cb7-17"><a href="#cb7-17" tabindex="-1"></a><span class="co"># As mentioned above, all the values of one hyperparameter are stored</span></span>
 <span id="cb7-18"><a href="#cb7-18" tabindex="-1"></a><span class="co"># and provided as a list.</span></span>
-<span id="cb7-19"><a href="#cb7-19" tabindex="-1"></a>datas <span class="ot">&lt;-</span> <span class="fu">list</span>(data1, data2) </span>
+<span id="cb7-19"><a href="#cb7-19" tabindex="-1"></a>datas <span class="ot">&lt;-</span> <span class="fu">list</span>(data1, data2)</span>
 <span id="cb7-20"><a href="#cb7-20" tabindex="-1"></a></span>
 <span id="cb7-21"><a href="#cb7-21" tabindex="-1"></a><span class="co"># This will be used to describe the versions of the data.</span></span>
 <span id="cb7-22"><a href="#cb7-22" tabindex="-1"></a>datas_descr <span class="ot">&lt;-</span> <span class="fu">c</span>(</span>
 <span id="cb7-23"><a href="#cb7-23" tabindex="-1"></a>  <span class="st">&quot;full_data&quot;</span>,</span>
 <span id="cb7-24"><a href="#cb7-24" tabindex="-1"></a>  <span class="st">&quot;outliers_removed&quot;</span></span>
-<span id="cb7-25"><a href="#cb7-25" tabindex="-1"></a>  ) </span>
+<span id="cb7-25"><a href="#cb7-25" tabindex="-1"></a>)</span>
 <span id="cb7-26"><a href="#cb7-26" tabindex="-1"></a></span>
-<span id="cb7-27"><a href="#cb7-27" tabindex="-1"></a>metas <span class="ot">&lt;-</span> <span class="fu">list</span>(meta1, meta2) </span>
+<span id="cb7-27"><a href="#cb7-27" tabindex="-1"></a>metas <span class="ot">&lt;-</span> <span class="fu">list</span>(meta1, meta2)</span>
 <span id="cb7-28"><a href="#cb7-28" tabindex="-1"></a></span>
 <span id="cb7-29"><a href="#cb7-29" tabindex="-1"></a><span class="co"># Test two different limma designs</span></span>
 <span id="cb7-30"><a href="#cb7-30" tabindex="-1"></a>designs <span class="ot">&lt;-</span> <span class="fu">c</span>(</span>
 <span id="cb7-31"><a href="#cb7-31" tabindex="-1"></a>  <span class="st">&quot;~ 1 + Phase*X + Reactor&quot;</span>,</span>
 <span id="cb7-32"><a href="#cb7-32" tabindex="-1"></a>  <span class="st">&quot;~ 1 + X + Reactor&quot;</span></span>
-<span id="cb7-33"><a href="#cb7-33" tabindex="-1"></a>  ) </span>
+<span id="cb7-33"><a href="#cb7-33" tabindex="-1"></a>)</span>
 <span id="cb7-34"><a href="#cb7-34" tabindex="-1"></a></span>
 <span id="cb7-35"><a href="#cb7-35" tabindex="-1"></a><span class="co"># &#39;Integrated means&#39; limma will use the full dataset to generate the results for</span></span>
-<span id="cb7-36"><a href="#cb7-36" tabindex="-1"></a><span class="co"># each condition. &#39;Isolated&#39; means limma will use only the respective part of </span></span>
-<span id="cb7-37"><a href="#cb7-37" tabindex="-1"></a><span class="co"># the dataset for each condition. Designs that contain the condition column </span></span>
+<span id="cb7-36"><a href="#cb7-36" tabindex="-1"></a><span class="co"># each condition. &#39;Isolated&#39; means limma will use only the respective part of</span></span>
+<span id="cb7-37"><a href="#cb7-37" tabindex="-1"></a><span class="co"># the dataset for each condition. Designs that contain the condition column</span></span>
 <span id="cb7-38"><a href="#cb7-38" tabindex="-1"></a><span class="co"># (here Phase) must have mode &#39;integrated&#39;, because the full data is needed to</span></span>
 <span id="cb7-39"><a href="#cb7-39" tabindex="-1"></a><span class="co"># include the different conditions into the design formula.</span></span>
 <span id="cb7-40"><a href="#cb7-40" tabindex="-1"></a>modes <span class="ot">&lt;-</span> <span class="fu">c</span>(</span>
 <span id="cb7-41"><a href="#cb7-41" tabindex="-1"></a>  <span class="st">&quot;integrated&quot;</span>,</span>
 <span id="cb7-42"><a href="#cb7-42" tabindex="-1"></a>  <span class="st">&quot;isolated&quot;</span></span>
-<span id="cb7-43"><a href="#cb7-43" tabindex="-1"></a>  )</span>
+<span id="cb7-43"><a href="#cb7-43" tabindex="-1"></a>)</span>
 <span id="cb7-44"><a href="#cb7-44" tabindex="-1"></a></span>
 <span id="cb7-45"><a href="#cb7-45" tabindex="-1"></a><span class="co"># Specify the meta &quot;level&quot; column</span></span>
-<span id="cb7-46"><a href="#cb7-46" tabindex="-1"></a>condition <span class="ot">&lt;-</span> <span class="st">&quot;Phase&quot;</span> </span>
+<span id="cb7-46"><a href="#cb7-46" tabindex="-1"></a>condition <span class="ot">&lt;-</span> <span class="st">&quot;Phase&quot;</span></span>
 <span id="cb7-47"><a href="#cb7-47" tabindex="-1"></a></span>
 <span id="cb7-48"><a href="#cb7-48" tabindex="-1"></a>report_dir <span class="ot">&lt;-</span> here<span class="sc">::</span><span class="fu">here</span>(</span>
 <span id="cb7-49"><a href="#cb7-49" tabindex="-1"></a>  <span class="st">&quot;results&quot;</span>,</span>
 <span id="cb7-50"><a href="#cb7-50" tabindex="-1"></a>  <span class="st">&quot;hyperparams_screen_reports&quot;</span></span>
-<span id="cb7-51"><a href="#cb7-51" tabindex="-1"></a>  ) </span>
+<span id="cb7-51"><a href="#cb7-51" tabindex="-1"></a>)</span>
 <span id="cb7-52"><a href="#cb7-52" tabindex="-1"></a></span>
 <span id="cb7-53"><a href="#cb7-53" tabindex="-1"></a><span class="co"># To remove the batch effect</span></span>
-<span id="cb7-54"><a href="#cb7-54" tabindex="-1"></a>meta_batch_column <span class="ot">=</span> <span class="st">&quot;Reactor&quot;</span> </span>
+<span id="cb7-54"><a href="#cb7-54" tabindex="-1"></a>meta_batch_column <span class="ot">&lt;-</span> <span class="st">&quot;Reactor&quot;</span></span>
 <span id="cb7-55"><a href="#cb7-55" tabindex="-1"></a></span>
 <span id="cb7-56"><a href="#cb7-56" tabindex="-1"></a><span class="co"># Test out two different p-value thresholds (inner hyperparameter)</span></span>
 <span id="cb7-57"><a href="#cb7-57" tabindex="-1"></a>adj_pthresholds <span class="ot">&lt;-</span> <span class="fu">c</span>(</span>
 <span id="cb7-58"><a href="#cb7-58" tabindex="-1"></a>  <span class="fl">0.05</span>,</span>
 <span id="cb7-59"><a href="#cb7-59" tabindex="-1"></a>  <span class="fl">0.1</span></span>
-<span id="cb7-60"><a href="#cb7-60" tabindex="-1"></a>  )</span>
+<span id="cb7-60"><a href="#cb7-60" tabindex="-1"></a>)</span>
 <span id="cb7-61"><a href="#cb7-61" tabindex="-1"></a></span>
 <span id="cb7-62"><a href="#cb7-62" tabindex="-1"></a><span class="co"># Create a dataframe with combinations of spline parameters to test</span></span>
 <span id="cb7-63"><a href="#cb7-63" tabindex="-1"></a><span class="co"># (every row a combo to test)</span></span>
 <span id="cb7-64"><a href="#cb7-64" tabindex="-1"></a>spline_test_configs <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(</span>
-<span id="cb7-65"><a href="#cb7-65" tabindex="-1"></a>   <span class="co"># &#39;n&#39; stands for natural cubic splines, b for B-splines.</span></span>
-<span id="cb7-66"><a href="#cb7-66" tabindex="-1"></a>  <span class="at">spline_type =</span> <span class="fu">c</span>(<span class="st">&quot;n&quot;</span>, <span class="st">&quot;n&quot;</span>, <span class="st">&quot;b&quot;</span>, <span class="st">&quot;b&quot;</span>),  </span>
+<span id="cb7-65"><a href="#cb7-65" tabindex="-1"></a>  <span class="co"># &#39;n&#39; stands for natural cubic splines, b for B-splines.</span></span>
+<span id="cb7-66"><a href="#cb7-66" tabindex="-1"></a>  <span class="at">spline_type =</span> <span class="fu">c</span>(<span class="st">&quot;n&quot;</span>, <span class="st">&quot;n&quot;</span>, <span class="st">&quot;b&quot;</span>, <span class="st">&quot;b&quot;</span>),</span>
 <span id="cb7-67"><a href="#cb7-67" tabindex="-1"></a>  <span class="co"># Degree is not applicable (NA) for natural splines.</span></span>
-<span id="cb7-68"><a href="#cb7-68" tabindex="-1"></a>  <span class="at">degree =</span> <span class="fu">c</span>(<span class="cn">NA</span>, <span class="cn">NA</span>, <span class="dv">2</span><span class="dt">L</span>, <span class="dv">4</span><span class="dt">L</span>),           </span>
+<span id="cb7-68"><a href="#cb7-68" tabindex="-1"></a>  <span class="at">degree =</span> <span class="fu">c</span>(<span class="cn">NA</span>, <span class="cn">NA</span>, <span class="dv">2</span><span class="dt">L</span>, <span class="dv">4</span><span class="dt">L</span>),</span>
 <span id="cb7-69"><a href="#cb7-69" tabindex="-1"></a>  <span class="co"># Degrees of freedom (DoF) to test.</span></span>
 <span id="cb7-70"><a href="#cb7-70" tabindex="-1"></a>  <span class="co"># Higher dof means spline can fit more complex patterns.</span></span>
-<span id="cb7-71"><a href="#cb7-71" tabindex="-1"></a>  <span class="at">dof =</span> <span class="fu">c</span>(<span class="dv">2</span><span class="dt">L</span>, <span class="dv">3</span><span class="dt">L</span>, <span class="dv">3</span><span class="dt">L</span>, <span class="dv">4</span><span class="dt">L</span>)         </span>
+<span id="cb7-71"><a href="#cb7-71" tabindex="-1"></a>  <span class="at">dof =</span> <span class="fu">c</span>(<span class="dv">2</span><span class="dt">L</span>, <span class="dv">3</span><span class="dt">L</span>, <span class="dv">3</span><span class="dt">L</span>, <span class="dv">4</span><span class="dt">L</span>)</span>
 <span id="cb7-72"><a href="#cb7-72" tabindex="-1"></a>)</span>
 <span id="cb7-73"><a href="#cb7-73" tabindex="-1"></a></span>
 <span id="cb7-74"><a href="#cb7-74" tabindex="-1"></a><span class="fu">print</span>(spline_test_configs)</span>
@@ -956,7 +960,7 @@ <h3>Example</h3>
 <span id="cb8-8"><a href="#cb8-8" tabindex="-1"></a>  <span class="at">spline_test_configs =</span> spline_test_configs,</span>
 <span id="cb8-9"><a href="#cb8-9" tabindex="-1"></a>  <span class="at">report_dir =</span> report_dir,</span>
 <span id="cb8-10"><a href="#cb8-10" tabindex="-1"></a>  <span class="at">adj_pthresholds =</span> adj_pthresholds,</span>
-<span id="cb8-11"><a href="#cb8-11" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb8-11"><a href="#cb8-11" tabindex="-1"></a>)</span></code></pre></div>
 <p>As mentioned, this function generates a report for each comparison of
 the outer hyperparameters, which are too many to show here. You can view
 an example report <a href="https://csbg.github.io/SplineOmics_html_reports/Data_1_Design_1_vs_Data_1_Design_2_PTX.html">here</a></p>
@@ -992,20 +996,20 @@ <h1>Run limma spline analysis</h1>
 <p>To generate the limma result categories 2 and 3 ()</p>
 <div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" tabindex="-1"></a>splineomics <span class="ot">&lt;-</span> SplineOmics<span class="sc">::</span><span class="fu">update_splineomics</span>(</span>
 <span id="cb9-2"><a href="#cb9-2" tabindex="-1"></a>  <span class="at">splineomics =</span> splineomics,</span>
-<span id="cb9-3"><a href="#cb9-3" tabindex="-1"></a>  <span class="at">design =</span> <span class="st">&quot;~ 1 + Phase*X + Reactor&quot;</span>,  <span class="co"># best design formula</span></span>
-<span id="cb9-4"><a href="#cb9-4" tabindex="-1"></a>  <span class="at">mode =</span> <span class="st">&quot;integrated&quot;</span>,  <span class="co"># means limma uses the full data for each condition.</span></span>
-<span id="cb9-5"><a href="#cb9-5" tabindex="-1"></a>  <span class="at">data =</span> data2,   <span class="co"># data without &quot;outliers&quot; was better</span></span>
-<span id="cb9-6"><a href="#cb9-6" tabindex="-1"></a>  <span class="at">meta =</span> meta2,  </span>
+<span id="cb9-3"><a href="#cb9-3" tabindex="-1"></a>  <span class="at">design =</span> <span class="st">&quot;~ 1 + Phase*X + Reactor&quot;</span>, <span class="co"># best design formula</span></span>
+<span id="cb9-4"><a href="#cb9-4" tabindex="-1"></a>  <span class="at">mode =</span> <span class="st">&quot;integrated&quot;</span>, <span class="co"># means limma uses the full data for each condition.</span></span>
+<span id="cb9-5"><a href="#cb9-5" tabindex="-1"></a>  <span class="at">data =</span> data2, <span class="co"># data without &quot;outliers&quot; was better</span></span>
+<span id="cb9-6"><a href="#cb9-6" tabindex="-1"></a>  <span class="at">meta =</span> meta2,</span>
 <span id="cb9-7"><a href="#cb9-7" tabindex="-1"></a>  <span class="at">spline_params =</span> <span class="fu">list</span>(</span>
-<span id="cb9-8"><a href="#cb9-8" tabindex="-1"></a>    <span class="at">spline_type =</span> <span class="fu">c</span>(<span class="st">&quot;n&quot;</span>),   <span class="co"># natural cubic splines (take these if unsure)</span></span>
-<span id="cb9-9"><a href="#cb9-9" tabindex="-1"></a>    <span class="at">dof =</span> <span class="fu">c</span>(<span class="dv">2</span><span class="dt">L</span>)  <span class="co"># If you are unsure about which dof, start with 2 and increase</span></span>
-<span id="cb9-10"><a href="#cb9-10" tabindex="-1"></a>    )</span>
+<span id="cb9-8"><a href="#cb9-8" tabindex="-1"></a>    <span class="at">spline_type =</span> <span class="fu">c</span>(<span class="st">&quot;n&quot;</span>), <span class="co"># natural cubic splines (take these if unsure)</span></span>
+<span id="cb9-9"><a href="#cb9-9" tabindex="-1"></a>    <span class="at">dof =</span> <span class="fu">c</span>(<span class="dv">2</span><span class="dt">L</span>) <span class="co"># If you are unsure about which dof, start with 2 and increase</span></span>
+<span id="cb9-10"><a href="#cb9-10" tabindex="-1"></a>  )</span>
 <span id="cb9-11"><a href="#cb9-11" tabindex="-1"></a>)</span></code></pre></div>
 <p>Run the <code>run_limma_splines()</code> function with the updated
 SplineOmics object:</p>
 <div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" tabindex="-1"></a>splineomics <span class="ot">&lt;-</span> SplineOmics<span class="sc">::</span><span class="fu">run_limma_splines</span>(</span>
 <span id="cb10-2"><a href="#cb10-2" tabindex="-1"></a>  <span class="at">splineomics =</span> splineomics</span>
-<span id="cb10-3"><a href="#cb10-3" tabindex="-1"></a>  )</span>
+<span id="cb10-3"><a href="#cb10-3" tabindex="-1"></a>)</span>
 <span id="cb10-4"><a href="#cb10-4" tabindex="-1"></a><span class="co">#&gt; Column &#39;Reactor&#39; of meta will be used to remove the batch effect for the plotting</span></span>
 <span id="cb10-5"><a href="#cb10-5" tabindex="-1"></a><span class="co">#&gt; Info limma spline analysis completed successfully</span></span></code></pre></div>
 <p>The output of the function run_limma_splines() is a named list, where
@@ -1031,12 +1035,12 @@ <h1>Build limma report</h1>
 <div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" tabindex="-1"></a>report_dir <span class="ot">&lt;-</span> here<span class="sc">::</span><span class="fu">here</span>(</span>
 <span id="cb11-2"><a href="#cb11-2" tabindex="-1"></a>  <span class="st">&quot;results&quot;</span>,</span>
 <span id="cb11-3"><a href="#cb11-3" tabindex="-1"></a>  <span class="st">&quot;create_limma_reports&quot;</span></span>
-<span id="cb11-4"><a href="#cb11-4" tabindex="-1"></a>  )</span>
+<span id="cb11-4"><a href="#cb11-4" tabindex="-1"></a>)</span>
 <span id="cb11-5"><a href="#cb11-5" tabindex="-1"></a></span>
 <span id="cb11-6"><a href="#cb11-6" tabindex="-1"></a>plots <span class="ot">&lt;-</span> SplineOmics<span class="sc">::</span><span class="fu">create_limma_report</span>(</span>
 <span id="cb11-7"><a href="#cb11-7" tabindex="-1"></a>  <span class="at">splineomics =</span> splineomics,</span>
 <span id="cb11-8"><a href="#cb11-8" tabindex="-1"></a>  <span class="at">report_dir =</span> report_dir</span>
-<span id="cb11-9"><a href="#cb11-9" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb11-9"><a href="#cb11-9" tabindex="-1"></a>)</span></code></pre></div>
 <p>You can view the generated analysis report of the create_limma_report
 function <a href="https://csbg.github.io/SplineOmics_html_reports/create_limma_report_PTX.html">here</a>.</p>
 <p>This report contains p-value histograms for all three limma result
@@ -1056,26 +1060,26 @@ <h1>Cluster the hits (significant features)</h1>
 features (e.g. proteins) that have an adj. p-value below the threshold.
 Hierarchical clustering is used to place every hit in one of as many
 clusters as we have specified for that specific level.</p>
-<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" tabindex="-1"></a>adj_pthresholds <span class="ot">&lt;-</span> <span class="fu">c</span>(  <span class="co"># 0.05 for both levels</span></span>
-<span id="cb12-2"><a href="#cb12-2" tabindex="-1"></a>  <span class="fl">0.05</span>,  <span class="co"># exponential</span></span>
-<span id="cb12-3"><a href="#cb12-3" tabindex="-1"></a>  <span class="fl">0.05</span>   <span class="co"># stationary</span></span>
-<span id="cb12-4"><a href="#cb12-4" tabindex="-1"></a>  )</span>
+<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" tabindex="-1"></a>adj_pthresholds <span class="ot">&lt;-</span> <span class="fu">c</span>( <span class="co"># 0.05 for both levels</span></span>
+<span id="cb12-2"><a href="#cb12-2" tabindex="-1"></a>  <span class="fl">0.05</span>, <span class="co"># exponential</span></span>
+<span id="cb12-3"><a href="#cb12-3" tabindex="-1"></a>  <span class="fl">0.05</span> <span class="co"># stationary</span></span>
+<span id="cb12-4"><a href="#cb12-4" tabindex="-1"></a>)</span>
 <span id="cb12-5"><a href="#cb12-5" tabindex="-1"></a></span>
 <span id="cb12-6"><a href="#cb12-6" tabindex="-1"></a>clusters <span class="ot">&lt;-</span> <span class="fu">c</span>(</span>
-<span id="cb12-7"><a href="#cb12-7" tabindex="-1"></a>  <span class="dv">6</span><span class="dt">L</span>,  <span class="co"># 6 clusters for the exponential phase level</span></span>
-<span id="cb12-8"><a href="#cb12-8" tabindex="-1"></a>  <span class="dv">3</span><span class="dt">L</span>   <span class="co"># 3 clusters for the stationary phase level</span></span>
-<span id="cb12-9"><a href="#cb12-9" tabindex="-1"></a>  )</span>
+<span id="cb12-7"><a href="#cb12-7" tabindex="-1"></a>  <span class="dv">6</span><span class="dt">L</span>, <span class="co"># 6 clusters for the exponential phase level</span></span>
+<span id="cb12-8"><a href="#cb12-8" tabindex="-1"></a>  <span class="dv">3</span><span class="dt">L</span> <span class="co"># 3 clusters for the stationary phase level</span></span>
+<span id="cb12-9"><a href="#cb12-9" tabindex="-1"></a>)</span>
 <span id="cb12-10"><a href="#cb12-10" tabindex="-1"></a></span>
 <span id="cb12-11"><a href="#cb12-11" tabindex="-1"></a>report_dir <span class="ot">&lt;-</span> here<span class="sc">::</span><span class="fu">here</span>(</span>
 <span id="cb12-12"><a href="#cb12-12" tabindex="-1"></a>  <span class="st">&quot;results&quot;</span>,</span>
 <span id="cb12-13"><a href="#cb12-13" tabindex="-1"></a>  <span class="st">&quot;clustering_reports&quot;</span></span>
-<span id="cb12-14"><a href="#cb12-14" tabindex="-1"></a>  )</span>
+<span id="cb12-14"><a href="#cb12-14" tabindex="-1"></a>)</span>
 <span id="cb12-15"><a href="#cb12-15" tabindex="-1"></a></span>
-<span id="cb12-16"><a href="#cb12-16" tabindex="-1"></a>plot_info <span class="ot">=</span> <span class="fu">list</span>(  <span class="co"># For the spline plots</span></span>
+<span id="cb12-16"><a href="#cb12-16" tabindex="-1"></a>plot_info <span class="ot">&lt;-</span> <span class="fu">list</span>( <span class="co"># For the spline plots</span></span>
 <span id="cb12-17"><a href="#cb12-17" tabindex="-1"></a>  <span class="at">y_axis_label =</span> <span class="st">&quot;log2 intensity&quot;</span>,</span>
-<span id="cb12-18"><a href="#cb12-18" tabindex="-1"></a>  <span class="at">time_unit =</span> <span class="st">&quot;min&quot;</span>,  <span class="co"># our measurements were in minutes</span></span>
-<span id="cb12-19"><a href="#cb12-19" tabindex="-1"></a>  <span class="at">treatment_labels =</span> <span class="fu">list</span>(<span class="st">&quot;feeding&quot;</span>),  <span class="co"># add this for all conditions</span></span>
-<span id="cb12-20"><a href="#cb12-20" tabindex="-1"></a>  <span class="at">treatment_timepoints =</span> <span class="fu">list</span>(<span class="dv">0</span>)  <span class="co"># Feeding was at 0 minutes.</span></span>
+<span id="cb12-18"><a href="#cb12-18" tabindex="-1"></a>  <span class="at">time_unit =</span> <span class="st">&quot;min&quot;</span>, <span class="co"># our measurements were in minutes</span></span>
+<span id="cb12-19"><a href="#cb12-19" tabindex="-1"></a>  <span class="at">treatment_labels =</span> <span class="fu">list</span>(<span class="st">&quot;feeding&quot;</span>), <span class="co"># add this for all conditions</span></span>
+<span id="cb12-20"><a href="#cb12-20" tabindex="-1"></a>  <span class="at">treatment_timepoints =</span> <span class="fu">list</span>(<span class="dv">0</span>) <span class="co"># Feeding was at 0 minutes.</span></span>
 <span id="cb12-21"><a href="#cb12-21" tabindex="-1"></a>)</span>
 <span id="cb12-22"><a href="#cb12-22" tabindex="-1"></a></span>
 <span id="cb12-23"><a href="#cb12-23" tabindex="-1"></a><span class="co"># Like this you can add individual treatment labels to your plots:</span></span>
@@ -1083,14 +1087,14 @@ <h1>Cluster the hits (significant features)</h1>
 <span id="cb12-25"><a href="#cb12-25" tabindex="-1"></a><span class="co">#   exponential = &quot;treatment 1&quot;, # One treatment in exp</span></span>
 <span id="cb12-26"><a href="#cb12-26" tabindex="-1"></a><span class="co">#   stationary = c(&quot;treatment 2&quot;, &quot;treatment 3&quot;)  # Two treatments in stat</span></span>
 <span id="cb12-27"><a href="#cb12-27" tabindex="-1"></a><span class="co">#   additional_condition = NA  # No treatment in the hypothetical third condition</span></span>
-<span id="cb12-28"><a href="#cb12-28" tabindex="-1"></a><span class="co">#   ) </span></span>
-<span id="cb12-29"><a href="#cb12-29" tabindex="-1"></a><span class="co"># </span></span>
+<span id="cb12-28"><a href="#cb12-28" tabindex="-1"></a><span class="co">#   )</span></span>
+<span id="cb12-29"><a href="#cb12-29" tabindex="-1"></a><span class="co">#</span></span>
 <span id="cb12-30"><a href="#cb12-30" tabindex="-1"></a><span class="co"># treatment_timepoints = list(</span></span>
 <span id="cb12-31"><a href="#cb12-31" tabindex="-1"></a><span class="co">#   exponential = 0,</span></span>
 <span id="cb12-32"><a href="#cb12-32" tabindex="-1"></a><span class="co">#   stationary = C(100, 140),  # Two treatments also need two timepoints</span></span>
 <span id="cb12-33"><a href="#cb12-33" tabindex="-1"></a><span class="co">#   additional_condition = NA</span></span>
-<span id="cb12-34"><a href="#cb12-34" tabindex="-1"></a><span class="co">#   )  </span></span>
-<span id="cb12-35"><a href="#cb12-35" tabindex="-1"></a><span class="co"># </span></span>
+<span id="cb12-34"><a href="#cb12-34" tabindex="-1"></a><span class="co">#   )</span></span>
+<span id="cb12-35"><a href="#cb12-35" tabindex="-1"></a><span class="co">#</span></span>
 <span id="cb12-36"><a href="#cb12-36" tabindex="-1"></a><span class="co"># or set a treatment for ALL conditions (still always make a list):</span></span>
 <span id="cb12-37"><a href="#cb12-37" tabindex="-1"></a><span class="co">#</span></span>
 <span id="cb12-38"><a href="#cb12-38" tabindex="-1"></a><span class="co"># treatment_labels = list(&quot;treatment&quot;)</span></span>
@@ -1109,10 +1113,10 @@ <h1>Cluster the hits (significant features)</h1>
 <span id="cb12-51"><a href="#cb12-51" tabindex="-1"></a>gene_column_name <span class="ot">&lt;-</span> <span class="st">&quot;Gene_symbol&quot;</span></span>
 <span id="cb12-52"><a href="#cb12-52" tabindex="-1"></a>genes <span class="ot">&lt;-</span> annotation[[gene_column_name]]</span>
 <span id="cb12-53"><a href="#cb12-53" tabindex="-1"></a></span>
-<span id="cb12-54"><a href="#cb12-54" tabindex="-1"></a>plot_options <span class="ot">=</span> <span class="fu">list</span>(</span>
+<span id="cb12-54"><a href="#cb12-54" tabindex="-1"></a>plot_options <span class="ot">&lt;-</span> <span class="fu">list</span>(</span>
 <span id="cb12-55"><a href="#cb12-55" tabindex="-1"></a>  <span class="co"># When meta_replicate_column is not there, all datapoints are blue.</span></span>
-<span id="cb12-56"><a href="#cb12-56" tabindex="-1"></a>  <span class="at">meta_replicate_column =</span> <span class="st">&quot;Reactor&quot;</span>,  <span class="co"># Colors the data points based on Reactor</span></span>
-<span id="cb12-57"><a href="#cb12-57" tabindex="-1"></a>  <span class="at">cluster_heatmap_columns =</span> <span class="cn">FALSE</span>   <span class="co"># Per default FALSE, just for demonstration</span></span>
+<span id="cb12-56"><a href="#cb12-56" tabindex="-1"></a>  <span class="at">meta_replicate_column =</span> <span class="st">&quot;Reactor&quot;</span>, <span class="co"># Colors the data points based on Reactor</span></span>
+<span id="cb12-57"><a href="#cb12-57" tabindex="-1"></a>  <span class="at">cluster_heatmap_columns =</span> <span class="cn">FALSE</span> <span class="co"># Per default FALSE, just for demonstration</span></span>
 <span id="cb12-58"><a href="#cb12-58" tabindex="-1"></a>)</span>
 <span id="cb12-59"><a href="#cb12-59" tabindex="-1"></a></span>
 <span id="cb12-60"><a href="#cb12-60" tabindex="-1"></a>clustering_results <span class="ot">&lt;-</span> SplineOmics<span class="sc">::</span><span class="fu">cluster_hits</span>(</span>
@@ -1125,7 +1129,7 @@ <h1>Cluster the hits (significant features)</h1>
 <span id="cb12-67"><a href="#cb12-67" tabindex="-1"></a>  <span class="at">report_dir =</span> report_dir,</span>
 <span id="cb12-68"><a href="#cb12-68" tabindex="-1"></a>  <span class="at">adj_pthresh_avrg_diff_conditions =</span> <span class="dv">0</span>,</span>
 <span id="cb12-69"><a href="#cb12-69" tabindex="-1"></a>  <span class="at">adj_pthresh_interaction_condition_time =</span> <span class="fl">0.25</span></span>
-<span id="cb12-70"><a href="#cb12-70" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb12-70"><a href="#cb12-70" tabindex="-1"></a>)</span></code></pre></div>
 <p>You can view the generated analysis report of the cluster_hits
 function <a href="https://csbg.github.io/SplineOmics_html_reports/report_clustered_hits_PTX.html">here</a>.</p>
 <p>As discussed before, there are three limma result categories. The
@@ -1153,11 +1157,12 @@ <h1>Perform gene set enrichment analysis (GSEA)</h1>
 <span id="cb13-12"><a href="#cb13-12" tabindex="-1"></a>  <span class="st">&quot;GO_Biological_Process_2018&quot;</span>,</span>
 <span id="cb13-13"><a href="#cb13-13" tabindex="-1"></a>  <span class="st">&quot;GO_Molecular_Function_2018&quot;</span>,</span>
 <span id="cb13-14"><a href="#cb13-14" tabindex="-1"></a>  <span class="st">&quot;Human_Gene_Atlas&quot;</span></span>
-<span id="cb13-15"><a href="#cb13-15" tabindex="-1"></a>  )</span>
+<span id="cb13-15"><a href="#cb13-15" tabindex="-1"></a>)</span>
 <span id="cb13-16"><a href="#cb13-16" tabindex="-1"></a></span>
 <span id="cb13-17"><a href="#cb13-17" tabindex="-1"></a>SplineOmics<span class="sc">::</span><span class="fu">download_enrichr_databases</span>(</span>
 <span id="cb13-18"><a href="#cb13-18" tabindex="-1"></a>  <span class="at">gene_set_lib =</span> gene_set_lib,</span>
-<span id="cb13-19"><a href="#cb13-19" tabindex="-1"></a>  <span class="at">filename =</span> <span class="st">&quot;databases.tsv&quot;</span>)</span></code></pre></div>
+<span id="cb13-19"><a href="#cb13-19" tabindex="-1"></a>  <span class="at">filename =</span> <span class="st">&quot;databases.tsv&quot;</span></span>
+<span id="cb13-20"><a href="#cb13-20" tabindex="-1"></a>)</span></code></pre></div>
 <p>Per default the file is placed in the current working directory,
 which is the root dir of the R project.</p>
 <p>To run GSEA, the downloaded database file has to be loaded as a
@@ -1182,12 +1187,12 @@ <h1>Perform gene set enrichment analysis (GSEA)</h1>
 <span id="cb14-15"><a href="#cb14-15" tabindex="-1"></a>  <span class="at">minGSSize =</span> <span class="dv">10</span>,</span>
 <span id="cb14-16"><a href="#cb14-16" tabindex="-1"></a>  <span class="at">maxGSSize =</span> <span class="dv">500</span>,</span>
 <span id="cb14-17"><a href="#cb14-17" tabindex="-1"></a>  <span class="at">qvalueCutoff =</span> <span class="fl">0.2</span></span>
-<span id="cb14-18"><a href="#cb14-18" tabindex="-1"></a>  )</span>
+<span id="cb14-18"><a href="#cb14-18" tabindex="-1"></a>)</span>
 <span id="cb14-19"><a href="#cb14-19" tabindex="-1"></a></span>
 <span id="cb14-20"><a href="#cb14-20" tabindex="-1"></a>report_dir <span class="ot">&lt;-</span> here<span class="sc">::</span><span class="fu">here</span>(</span>
 <span id="cb14-21"><a href="#cb14-21" tabindex="-1"></a>  <span class="st">&quot;results&quot;</span>,</span>
 <span id="cb14-22"><a href="#cb14-22" tabindex="-1"></a>  <span class="st">&quot;gsea_reports&quot;</span></span>
-<span id="cb14-23"><a href="#cb14-23" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb14-23"><a href="#cb14-23" tabindex="-1"></a>)</span></code></pre></div>
 <p>The function below runs the clusterProfiler for all clusters and all
 levels, and generates the HTML report:</p>
 <div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" tabindex="-1"></a>result <span class="ot">&lt;-</span> SplineOmics<span class="sc">::</span><span class="fu">run_gsea</span>(</span>
@@ -1199,7 +1204,7 @@ <h1>Perform gene set enrichment analysis (GSEA)</h1>
 <span id="cb15-7"><a href="#cb15-7" tabindex="-1"></a>  <span class="at">clusterProfiler_params =</span> clusterProfiler_params,</span>
 <span id="cb15-8"><a href="#cb15-8" tabindex="-1"></a>  <span class="at">report_info =</span> report_info,</span>
 <span id="cb15-9"><a href="#cb15-9" tabindex="-1"></a>  <span class="at">report_dir =</span> report_dir</span>
-<span id="cb15-10"><a href="#cb15-10" tabindex="-1"></a>  )</span></code></pre></div>
+<span id="cb15-10"><a href="#cb15-10" tabindex="-1"></a>)</span></code></pre></div>
 <p>You can view the generated analysis report of the cluster_hits
 function <a href="https://csbg.github.io/SplineOmics_html_reports/create_gsea_report_PTX.html">here</a>.</p>
 <p>This report first shows all enrichment results, where more than 2
@@ -1239,6 +1244,61 @@ <h1>Conclusion</h1>
 satisfied with the documentation, open an issue on GitHub or check out
 the other options under the Feedback section of the README on GitHub.
 Thank you!</p>
+<pre><code>#&gt; R version 4.3.3 (2024-02-29)
+#&gt; Platform: x86_64-pc-linux-gnu (64-bit)
+#&gt; Running under: Ubuntu 22.04.5 LTS
+#&gt; 
+#&gt; Matrix products: default
+#&gt; BLAS:   /usr/local/R-4.3.3/lib/R/lib/libRblas.so 
+#&gt; LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
+#&gt; 
+#&gt; locale:
+#&gt;  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
+#&gt;  [3] LC_TIME=de_AT.UTF-8        LC_COLLATE=en_US.UTF-8    
+#&gt;  [5] LC_MONETARY=de_AT.UTF-8    LC_MESSAGES=en_US.UTF-8   
+#&gt;  [7] LC_PAPER=de_AT.UTF-8       LC_NAME=C                 
+#&gt;  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
+#&gt; [11] LC_MEASUREMENT=de_AT.UTF-8 LC_IDENTIFICATION=C       
+#&gt; 
+#&gt; time zone: Europe/Vienna
+#&gt; tzcode source: system (glibc)
+#&gt; 
+#&gt; attached base packages:
+#&gt; [1] stats     graphics  grDevices datasets  utils     methods   base     
+#&gt; 
+#&gt; other attached packages:
+#&gt; [1] dplyr_1.1.4       here_1.0.1        readxl_1.4.3      SplineOmics_0.1.0
+#&gt; 
+#&gt; loaded via a namespace (and not attached):
+#&gt;  [1] tidyselect_1.2.1      viridisLite_0.4.2     farver_2.1.2         
+#&gt;  [4] viridis_0.6.5         fastmap_1.2.0         digest_0.6.37        
+#&gt;  [7] lifecycle_1.0.4       cluster_2.1.6         statmod_1.5.0        
+#&gt; [10] magrittr_2.0.3        compiler_4.3.3        rlang_1.1.4          
+#&gt; [13] sass_0.4.9            progress_1.2.3        tools_4.3.3          
+#&gt; [16] utf8_1.2.4            yaml_2.3.10           knitr_1.48           
+#&gt; [19] prettyunits_1.2.0     RColorBrewer_1.1-3    withr_3.0.1          
+#&gt; [22] purrr_1.0.2           BiocGenerics_0.48.1   grid_4.3.3           
+#&gt; [25] stats4_4.3.3          fansi_1.0.6           colorspace_2.1-1     
+#&gt; [28] ggplot2_3.5.1         scales_1.3.0          iterators_1.0.14     
+#&gt; [31] cli_3.6.3             rmarkdown_2.28        crayon_1.5.3         
+#&gt; [34] generics_0.1.3        rstudioapi_0.16.0     rjson_0.2.23         
+#&gt; [37] cachem_1.1.0          splines_4.3.3         parallel_4.3.3       
+#&gt; [40] BiocManager_1.30.25   cellranger_1.1.0      matrixStats_1.4.1    
+#&gt; [43] base64enc_0.1-3       vctrs_0.6.5           jsonlite_1.8.9       
+#&gt; [46] IRanges_2.36.0        GetoptLong_1.0.5      hms_1.1.3            
+#&gt; [49] patchwork_1.3.0       S4Vectors_0.40.2      ggrepel_0.9.6        
+#&gt; [52] clue_0.3-65           systemfonts_1.1.0     dendextend_1.18.0    
+#&gt; [55] foreach_1.5.2         limma_3.58.1          jquerylib_0.1.4      
+#&gt; [58] tidyr_1.3.1           glue_1.8.0            codetools_0.2-19     
+#&gt; [61] stringi_1.8.4         shape_1.4.6.1         gtable_0.3.5         
+#&gt; [64] ComplexHeatmap_2.18.0 munsell_0.5.1         tibble_3.2.1         
+#&gt; [67] pillar_1.9.0          htmltools_0.5.8.1     circlize_0.4.16      
+#&gt; [70] R6_2.5.1              doParallel_1.0.17     rprojroot_2.0.4      
+#&gt; [73] evaluate_1.0.0        png_0.1-8             openxlsx_4.2.7.1     
+#&gt; [76] pheatmap_1.0.12       renv_1.0.10           bslib_0.8.0          
+#&gt; [79] Rcpp_1.0.13           zip_2.3.1             svglite_2.1.3        
+#&gt; [82] gridExtra_2.3         xfun_0.48             pkgconfig_2.0.3      
+#&gt; [85] GlobalOptions_0.1.2</code></pre>
 </div>
 
 
diff --git a/docs/Points_of_Significance_PCA.pdf b/docs/Points_of_Significance_PCA.pdf
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-<html><head><title>clustered hits | time_effect</title><meta charset="UTF-8"><style>table {  font-size: 30px;}td {  padding: 8px;  text-align: left;}td:first-child {  text-align: right;  color: blue;}h1 {  color: #333333;  display: flex;  align-items: center;  justify-content: space-between;  margin-top: 0; margin-bottom: 0;}.logo {  position: absolute;  top: 60px;  right: 0;  width: 400px;  height: auto;}hr {  margin-top: 20px;  margin-bottom: 20px;}</style></head><body><h1>clustered hits | time_effect | Omics-Datatype: PTX | Date-Time: 18_09_2024-11_31_09 <br><br><br><img src='data:image/png;base64,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alt='Logo' class='logo'></h1><table><p><div style="border: 2px solid #f00; padding: 15px; position: relative; margin-bottom: 20px; background-color: #fee; font-family: Arial, sans-serif; width: 65%;"> <div style="position: absolute; top: -20px; right: -27px; transform: rotate(45deg); background-color: #f00; color: #fff; padding: 10px 15px; font-size: 2em; font-weight: bold; z-index: 1;">Note!</div> <p style="font-size: 2em;"> Clustering of features that show significant changes over time (= hits).<br> Clustering was done based on the min-max normalized shape of the spline.<br> For this, the spline parameters in the limma topTable are used to generate 1000 curve datapoints between 0 and 1.  These  datapoints are used for hierarchical clustering. <br> Right-click on  any plot in this report to save it as a .svg (vector graphic) file! <br> If one level of  the experiment is not shown, it means it has < 2 hits!<br> </p> <span style="font-size:1.3em;"> feature_name "formula":  {annotation-column-x}_{annotation-column-y}_ ... : <br><b> Gene_name </b></span> </div></p><br><br><div style="border: 2px solid #00f; padding: 15px; position: relative; margin-bottom: 20px; background-color: #eef; font-family: Arial, sans-serif; width: 65%;"> <div style="position: absolute; top: -5px; right: -65px; transform: rotate(45deg); background-color: #00f; color: #fff; padding: 10px 15px; font-size: 2em; font-weight: bold; z-index: 1;">Hotkeys</div> <p style="font-size: 2em;"> Press:<br> <b>t</b>  --> Jump to <b>Table of Contents</b> and save current scroll position 📑<br> <b>s</b> --> <b>Save</b> current scroll position 📌<br> <b>b</b> --> Jump <b>back</b> to saved position 🔙<br> <b>d</b> --> <b>Download</b> all embedded files as zip 📥<br> <b>e</b> --> Write an <b>email</b> to contact info ✉<br> </p> </div><script>
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-(c) 2009-2016 Stuart Knightley <stuart [at] stuartk.com>
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e,r,i,n,s,a,o,h=[],u=0,l=t.length,f=l,d="string"!==c.getTypeOf(t);u<t.length;)f=l-u,i=d?(e=t[u++],r=u<l?t[u++]:0,u<l?t[u++]:0):(e=t.charCodeAt(u++),r=u<l?t.charCodeAt(u++):0,u<l?t.charCodeAt(u++):0),n=e>>2,s=(3&e)<<4|r>>4,a=1<f?(15&r)<<2|i>>6:64,o=2<f?63&i:64,h.push(p.charAt(n)+p.charAt(s)+p.charAt(a)+p.charAt(o));return h.join("")},r.decode=function(t){var e,r,i,n,s,a,o=0,h=0,u="data:";if(t.substr(0,u.length)===u)throw new Error("Invalid base64 input, it looks like a data url.");var l,f=3*(t=t.replace(/[^A-Za-z0-9\+\/\=]/g,"")).length/4;if(t.charAt(t.length-1)===p.charAt(64)&&f--,t.charAt(t.length-2)===p.charAt(64)&&f--,f%1!=0)throw new Error("Invalid base64 input, bad content length.");for(l=d.uint8array?new Uint8Array(0|f):new Array(0|f);o<t.length;)e=p.indexOf(t.charAt(o++))<<2|(n=p.indexOf(t.charAt(o++)))>>4,r=(15&n)<<4|(s=p.indexOf(t.charAt(o++)))>>2,i=(3&s)<<6|(a=p.indexOf(t.charAt(o++))),l[h++]=e,64!==s&&(l[h++]=r),64!==a&&(l[h++]=i);return l}},{"./support":30,"./utils":32}],2:[function(t,e,r){"use strict";var i=t("./external"),n=t("./stream/DataWorker"),s=t("./stream/Crc32Probe"),a=t("./stream/DataLengthProbe");function o(t,e,r,i,n){this.compressedSize=t,this.uncompressedSize=e,this.crc32=r,this.compression=i,this.compressedContent=n}o.prototype={getContentWorker:function(){var t=new n(i.Promise.resolve(this.compressedContent)).pipe(this.compression.uncompressWorker()).pipe(new a("data_length")),e=this;return t.on("end",function(){if(this.streamInfo.data_length!==e.uncompressedSize)throw new Error("Bug : uncompressed data size mismatch")}),t},getCompressedWorker:function(){return new n(i.Promise.resolve(this.compressedContent)).withStreamInfo("compressedSize",this.compressedSize).withStreamInfo("uncompressedSize",this.uncompressedSize).withStreamInfo("crc32",this.crc32).withStreamInfo("compression",this.compression)}},o.createWorkerFrom=function(t,e,r){return t.pipe(new s).pipe(new a("uncompressedSize")).pipe(e.compressWorker(r)).pipe(new a("compressedSize")).withStreamInfo("compression",e)},e.exports=o},{"./external":6,"./stream/Crc32Probe":25,"./stream/DataLengthProbe":26,"./stream/DataWorker":27}],3:[function(t,e,r){"use strict";var i=t("./stream/GenericWorker");r.STORE={magic:"\0\0",compressWorker:function(t){return new i("STORE compression")},uncompressWorker:function(){return new i("STORE decompression")}},r.DEFLATE=t("./flate")},{"./flate":7,"./stream/GenericWorker":28}],4:[function(t,e,r){"use strict";var i=t("./utils");var o=function(){for(var t,e=[],r=0;r<256;r++){t=r;for(var i=0;i<8;i++)t=1&t?3988292384^t>>>1:t>>>1;e[r]=t}return e}();e.exports=function(t,e){return void 0!==t&&t.length?"string"!==i.getTypeOf(t)?function(t,e,r,i){var n=o,s=i+r;t^=-1;for(var a=i;a<s;a++)t=t>>>8^n[255&(t^e[a])];return-1^t}(0|e,t,t.length,0):function(t,e,r,i){var n=o,s=i+r;t^=-1;for(var a=i;a<s;a++)t=t>>>8^n[255&(t^e.charCodeAt(a))];return-1^t}(0|e,t,t.length,0):0}},{"./utils":32}],5:[function(t,e,r){"use strict";r.base64=!1,r.binary=!1,r.dir=!1,r.createFolders=!0,r.date=null,r.compression=null,r.compressionOptions=null,r.comment=null,r.unixPermissions=null,r.dosPermissions=null},{}],6:[function(t,e,r){"use strict";var i=null;i="undefined"!=typeof Promise?Promise:t("lie"),e.exports={Promise:i}},{lie:37}],7:[function(t,e,r){"use strict";var i="undefined"!=typeof Uint8Array&&"undefined"!=typeof Uint16Array&&"undefined"!=typeof Uint32Array,n=t("pako"),s=t("./utils"),a=t("./stream/GenericWorker"),o=i?"uint8array":"array";function h(t,e){a.call(this,"FlateWorker/"+t),this._pako=null,this._pakoAction=t,this._pakoOptions=e,this.meta={}}r.magic="\b\0",s.inherits(h,a),h.prototype.processChunk=function(t){this.meta=t.meta,null===this._pako&&this._createPako(),this._pako.push(s.transformTo(o,t.data),!1)},h.prototype.flush=function(){a.prototype.flush.call(this),null===this._pako&&this._createPako(),this._pako.push([],!0)},h.prototype.cleanUp=function(){a.prototype.cleanUp.call(this),this._pako=null},h.prototype._createPako=function(){this._pako=new n[this._pakoAction]({raw:!0,level:this._pakoOptions.level||-1});var e=this;this._pako.onData=function(t){e.push({data:t,meta:e.meta})}},r.compressWorker=function(t){return new h("Deflate",t)},r.uncompressWorker=function(){return new h("Inflate",{})}},{"./stream/GenericWorker":28,"./utils":32,pako:38}],8:[function(t,e,r){"use strict";function A(t,e){var r,i="";for(r=0;r<e;r++)i+=String.fromCharCode(255&t),t>>>=8;return i}function i(t,e,r,i,n,s){var a,o,h=t.file,u=t.compression,l=s!==O.utf8encode,f=I.transformTo("string",s(h.name)),d=I.transformTo("string",O.utf8encode(h.name)),c=h.comment,p=I.transformTo("string",s(c)),m=I.transformTo("string",O.utf8encode(c)),_=d.length!==h.name.length,g=m.length!==c.length,b="",v="",y="",w=h.dir,k=h.date,x={crc32:0,compressedSize:0,uncompressedSize:0};e&&!r||(x.crc32=t.crc32,x.compressedSize=t.compressedSize,x.uncompressedSize=t.uncompressedSize);var S=0;e&&(S|=8),l||!_&&!g||(S|=2048);var z=0,C=0;w&&(z|=16),"UNIX"===n?(C=798,z|=function(t,e){var r=t;return t||(r=e?16893:33204),(65535&r)<<16}(h.unixPermissions,w)):(C=20,z|=function(t){return 63&(t||0)}(h.dosPermissions)),a=k.getUTCHours(),a<<=6,a|=k.getUTCMinutes(),a<<=5,a|=k.getUTCSeconds()/2,o=k.getUTCFullYear()-1980,o<<=4,o|=k.getUTCMonth()+1,o<<=5,o|=k.getUTCDate(),_&&(v=A(1,1)+A(B(f),4)+d,b+="up"+A(v.length,2)+v),g&&(y=A(1,1)+A(B(p),4)+m,b+="uc"+A(y.length,2)+y);var E="";return E+="\n\0",E+=A(S,2),E+=u.magic,E+=A(a,2),E+=A(o,2),E+=A(x.crc32,4),E+=A(x.compressedSize,4),E+=A(x.uncompressedSize,4),E+=A(f.length,2),E+=A(b.length,2),{fileRecord:R.LOCAL_FILE_HEADER+E+f+b,dirRecord:R.CENTRAL_FILE_HEADER+A(C,2)+E+A(p.length,2)+"\0\0\0\0"+A(z,4)+A(i,4)+f+b+p}}var I=t("../utils"),n=t("../stream/GenericWorker"),O=t("../utf8"),B=t("../crc32"),R=t("../signature");function s(t,e,r,i){n.call(this,"ZipFileWorker"),this.bytesWritten=0,this.zipComment=e,this.zipPlatform=r,this.encodeFileName=i,this.streamFiles=t,this.accumulate=!1,this.contentBuffer=[],this.dirRecords=[],this.currentSourceOffset=0,this.entriesCount=0,this.currentFile=null,this._sources=[]}I.inherits(s,n),s.prototype.push=function(t){var e=t.meta.percent||0,r=this.entriesCount,i=this._sources.length;this.accumulate?this.contentBuffer.push(t):(this.bytesWritten+=t.data.length,n.prototype.push.call(this,{data:t.data,meta:{currentFile:this.currentFile,percent:r?(e+100*(r-i-1))/r:100}}))},s.prototype.openedSource=function(t){this.currentSourceOffset=this.bytesWritten,this.currentFile=t.file.name;var e=this.streamFiles&&!t.file.dir;if(e){var r=i(t,e,!1,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);this.push({data:r.fileRecord,meta:{percent:0}})}else this.accumulate=!0},s.prototype.closedSource=function(t){this.accumulate=!1;var e=this.streamFiles&&!t.file.dir,r=i(t,e,!0,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);if(this.dirRecords.push(r.dirRecord),e)this.push({data:function(t){return R.DATA_DESCRIPTOR+A(t.crc32,4)+A(t.compressedSize,4)+A(t.uncompressedSize,4)}(t),meta:{percent:100}});else for(this.push({data:r.fileRecord,meta:{percent:0}});this.contentBuffer.length;)this.push(this.contentBuffer.shift());this.currentFile=null},s.prototype.flush=function(){for(var t=this.bytesWritten,e=0;e<this.dirRecords.length;e++)this.push({data:this.dirRecords[e],meta:{percent:100}});var r=this.bytesWritten-t,i=function(t,e,r,i,n){var s=I.transformTo("string",n(i));return R.CENTRAL_DIRECTORY_END+"\0\0\0\0"+A(t,2)+A(t,2)+A(e,4)+A(r,4)+A(s.length,2)+s}(this.dirRecords.length,r,t,this.zipComment,this.encodeFileName);this.push({data:i,meta:{percent:100}})},s.prototype.prepareNextSource=function(){this.previous=this._sources.shift(),this.openedSource(this.previous.streamInfo),this.isPaused?this.previous.pause():this.previous.resume()},s.prototype.registerPrevious=function(t){this._sources.push(t);var e=this;return t.on("data",function(t){e.processChunk(t)}),t.on("end",function(){e.closedSource(e.previous.streamInfo),e._sources.length?e.prepareNextSource():e.end()}),t.on("error",function(t){e.error(t)}),this},s.prototype.resume=function(){return!!n.prototype.resume.call(this)&&(!this.previous&&this._sources.length?(this.prepareNextSource(),!0):this.previous||this._sources.length||this.generatedError?void 0:(this.end(),!0))},s.prototype.error=function(t){var e=this._sources;if(!n.prototype.error.call(this,t))return!1;for(var r=0;r<e.length;r++)try{e[r].error(t)}catch(t){}return!0},s.prototype.lock=function(){n.prototype.lock.call(this);for(var t=this._sources,e=0;e<t.length;e++)t[e].lock()},e.exports=s},{"../crc32":4,"../signature":23,"../stream/GenericWorker":28,"../utf8":31,"../utils":32}],9:[function(t,e,r){"use strict";var u=t("../compressions"),i=t("./ZipFileWorker");r.generateWorker=function(t,a,e){var o=new i(a.streamFiles,e,a.platform,a.encodeFileName),h=0;try{t.forEach(function(t,e){h++;var r=function(t,e){var r=t||e,i=u[r];if(!i)throw new Error(r+" is not a valid compression method !");return i}(e.options.compression,a.compression),i=e.options.compressionOptions||a.compressionOptions||{},n=e.dir,s=e.date;e._compressWorker(r,i).withStreamInfo("file",{name:t,dir:n,date:s,comment:e.comment||"",unixPermissions:e.unixPermissions,dosPermissions:e.dosPermissions}).pipe(o)}),o.entriesCount=h}catch(t){o.error(t)}return o}},{"../compressions":3,"./ZipFileWorker":8}],10:[function(t,e,r){"use strict";function i(){if(!(this instanceof i))return new i;if(arguments.length)throw new Error("The constructor with parameters has been removed in JSZip 3.0, please check the upgrade guide.");this.files=Object.create(null),this.comment=null,this.root="",this.clone=function(){var t=new i;for(var e in this)"function"!=typeof this[e]&&(t[e]=this[e]);return t}}(i.prototype=t("./object")).loadAsync=t("./load"),i.support=t("./support"),i.defaults=t("./defaults"),i.version="3.7.1",i.loadAsync=function(t,e){return(new i).loadAsync(t,e)},i.external=t("./external"),e.exports=i},{"./defaults":5,"./external":6,"./load":11,"./object":15,"./support":30}],11:[function(t,e,r){"use strict";var i=t("./utils"),n=t("./external"),o=t("./utf8"),h=t("./zipEntries"),s=t("./stream/Crc32Probe"),u=t("./nodejsUtils");function l(i){return new n.Promise(function(t,e){var r=i.decompressed.getContentWorker().pipe(new s);r.on("error",function(t){e(t)}).on("end",function(){r.streamInfo.crc32!==i.decompressed.crc32?e(new Error("Corrupted zip : CRC32 mismatch")):t()}).resume()})}e.exports=function(t,s){var a=this;return s=i.extend(s||{},{base64:!1,checkCRC32:!1,optimizedBinaryString:!1,createFolders:!1,decodeFileName:o.utf8decode}),u.isNode&&u.isStream(t)?n.Promise.reject(new Error("JSZip can't accept a stream when loading a zip file.")):i.prepareContent("the loaded zip file",t,!0,s.optimizedBinaryString,s.base64).then(function(t){var e=new h(s);return e.load(t),e}).then(function(t){var e=[n.Promise.resolve(t)],r=t.files;if(s.checkCRC32)for(var i=0;i<r.length;i++)e.push(l(r[i]));return n.Promise.all(e)}).then(function(t){for(var e=t.shift(),r=e.files,i=0;i<r.length;i++){var n=r[i];a.file(n.fileNameStr,n.decompressed,{binary:!0,optimizedBinaryString:!0,date:n.date,dir:n.dir,comment:n.fileCommentStr.length?n.fileCommentStr:null,unixPermissions:n.unixPermissions,dosPermissions:n.dosPermissions,createFolders:s.createFolders})}return e.zipComment.length&&(a.comment=e.zipComment),a})}},{"./external":6,"./nodejsUtils":14,"./stream/Crc32Probe":25,"./utf8":31,"./utils":32,"./zipEntries":33}],12:[function(t,e,r){"use strict";var i=t("../utils"),n=t("../stream/GenericWorker");function s(t,e){n.call(this,"Nodejs stream input adapter for "+t),this._upstreamEnded=!1,this._bindStream(e)}i.inherits(s,n),s.prototype._bindStream=function(t){var e=this;(this._stream=t).pause(),t.on("data",function(t){e.push({data:t,meta:{percent:0}})}).on("error",function(t){e.isPaused?this.generatedError=t:e.error(t)}).on("end",function(){e.isPaused?e._upstreamEnded=!0:e.end()})},s.prototype.pause=function(){return!!n.prototype.pause.call(this)&&(this._stream.pause(),!0)},s.prototype.resume=function(){return!!n.prototype.resume.call(this)&&(this._upstreamEnded?this.end():this._stream.resume(),!0)},e.exports=s},{"../stream/GenericWorker":28,"../utils":32}],13:[function(t,e,r){"use strict";var n=t("readable-stream").Readable;function i(t,e,r){n.call(this,e),this._helper=t;var i=this;t.on("data",function(t,e){i.push(t)||i._helper.pause(),r&&r(e)}).on("error",function(t){i.emit("error",t)}).on("end",function(){i.push(null)})}t("../utils").inherits(i,n),i.prototype._read=function(){this._helper.resume()},e.exports=i},{"../utils":32,"readable-stream":16}],14:[function(t,e,r){"use strict";e.exports={isNode:"undefined"!=typeof Buffer,newBufferFrom:function(t,e){if(Buffer.from&&Buffer.from!==Uint8Array.from)return Buffer.from(t,e);if("number"==typeof t)throw new Error('The "data" argument must not be a number');return new Buffer(t,e)},allocBuffer:function(t){if(Buffer.alloc)return Buffer.alloc(t);var e=new Buffer(t);return e.fill(0),e},isBuffer:function(t){return Buffer.isBuffer(t)},isStream:function(t){return t&&"function"==typeof t.on&&"function"==typeof t.pause&&"function"==typeof t.resume}}},{}],15:[function(t,e,r){"use strict";function s(t,e,r){var i,n=u.getTypeOf(e),s=u.extend(r||{},f);s.date=s.date||new Date,null!==s.compression&&(s.compression=s.compression.toUpperCase()),"string"==typeof s.unixPermissions&&(s.unixPermissions=parseInt(s.unixPermissions,8)),s.unixPermissions&&16384&s.unixPermissions&&(s.dir=!0),s.dosPermissions&&16&s.dosPermissions&&(s.dir=!0),s.dir&&(t=g(t)),s.createFolders&&(i=_(t))&&b.call(this,i,!0);var a="string"===n&&!1===s.binary&&!1===s.base64;r&&void 0!==r.binary||(s.binary=!a),(e instanceof d&&0===e.uncompressedSize||s.dir||!e||0===e.length)&&(s.base64=!1,s.binary=!0,e="",s.compression="STORE",n="string");var o=null;o=e instanceof d||e instanceof l?e:p.isNode&&p.isStream(e)?new m(t,e):u.prepareContent(t,e,s.binary,s.optimizedBinaryString,s.base64);var h=new c(t,o,s);this.files[t]=h}var n=t("./utf8"),u=t("./utils"),l=t("./stream/GenericWorker"),a=t("./stream/StreamHelper"),f=t("./defaults"),d=t("./compressedObject"),c=t("./zipObject"),o=t("./generate"),p=t("./nodejsUtils"),m=t("./nodejs/NodejsStreamInputAdapter"),_=function(t){"/"===t.slice(-1)&&(t=t.substring(0,t.length-1));var e=t.lastIndexOf("/");return 0<e?t.substring(0,e):""},g=function(t){return"/"!==t.slice(-1)&&(t+="/"),t},b=function(t,e){return e=void 0!==e?e:f.createFolders,t=g(t),this.files[t]||s.call(this,t,null,{dir:!0,createFolders:e}),this.files[t]};function h(t){return"[object RegExp]"===Object.prototype.toString.call(t)}var i={load:function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},forEach:function(t){var e,r,i;for(e in this.files)i=this.files[e],(r=e.slice(this.root.length,e.length))&&e.slice(0,this.root.length)===this.root&&t(r,i)},filter:function(r){var i=[];return this.forEach(function(t,e){r(t,e)&&i.push(e)}),i},file:function(t,e,r){if(1!==arguments.length)return t=this.root+t,s.call(this,t,e,r),this;if(h(t)){var i=t;return this.filter(function(t,e){return!e.dir&&i.test(t)})}var n=this.files[this.root+t];return n&&!n.dir?n:null},folder:function(r){if(!r)return this;if(h(r))return this.filter(function(t,e){return e.dir&&r.test(t)});var t=this.root+r,e=b.call(this,t),i=this.clone();return i.root=e.name,i},remove:function(r){r=this.root+r;var t=this.files[r];if(t||("/"!==r.slice(-1)&&(r+="/"),t=this.files[r]),t&&!t.dir)delete this.files[r];else for(var e=this.filter(function(t,e){return e.name.slice(0,r.length)===r}),i=0;i<e.length;i++)delete this.files[e[i].name];return this},generate:function(t){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},generateInternalStream:function(t){var e,r={};try{if((r=u.extend(t||{},{streamFiles:!1,compression:"STORE",compressionOptions:null,type:"",platform:"DOS",comment:null,mimeType:"application/zip",encodeFileName:n.utf8encode})).type=r.type.toLowerCase(),r.compression=r.compression.toUpperCase(),"binarystring"===r.type&&(r.type="string"),!r.type)throw new Error("No output type specified.");u.checkSupport(r.type),"darwin"!==r.platform&&"freebsd"!==r.platform&&"linux"!==r.platform&&"sunos"!==r.platform||(r.platform="UNIX"),"win32"===r.platform&&(r.platform="DOS");var i=r.comment||this.comment||"";e=o.generateWorker(this,r,i)}catch(t){(e=new l("error")).error(t)}return new a(e,r.type||"string",r.mimeType)},generateAsync:function(t,e){return this.generateInternalStream(t).accumulate(e)},generateNodeStream:function(t,e){return(t=t||{}).type||(t.type="nodebuffer"),this.generateInternalStream(t).toNodejsStream(e)}};e.exports=i},{"./compressedObject":2,"./defaults":5,"./generate":9,"./nodejs/NodejsStreamInputAdapter":12,"./nodejsUtils":14,"./stream/GenericWorker":28,"./stream/StreamHelper":29,"./utf8":31,"./utils":32,"./zipObject":35}],16:[function(t,e,r){e.exports=t("stream")},{stream:void 0}],17:[function(t,e,r){"use strict";var i=t("./DataReader");function n(t){i.call(this,t);for(var e=0;e<this.data.length;e++)t[e]=255&t[e]}t("../utils").inherits(n,i),n.prototype.byteAt=function(t){return this.data[this.zero+t]},n.prototype.lastIndexOfSignature=function(t){for(var e=t.charCodeAt(0),r=t.charCodeAt(1),i=t.charCodeAt(2),n=t.charCodeAt(3),s=this.length-4;0<=s;--s)if(this.data[s]===e&&this.data[s+1]===r&&this.data[s+2]===i&&this.data[s+3]===n)return s-this.zero;return-1},n.prototype.readAndCheckSignature=function(t){var e=t.charCodeAt(0),r=t.charCodeAt(1),i=t.charCodeAt(2),n=t.charCodeAt(3),s=this.readData(4);return e===s[0]&&r===s[1]&&i===s[2]&&n===s[3]},n.prototype.readData=function(t){if(this.checkOffset(t),0===t)return[];var e=this.data.slice(this.zero+this.index,this.zero+this.index+t);return this.index+=t,e},e.exports=n},{"../utils":32,"./DataReader":18}],18:[function(t,e,r){"use strict";var i=t("../utils");function n(t){this.data=t,this.length=t.length,this.index=0,this.zero=0}n.prototype={checkOffset:function(t){this.checkIndex(this.index+t)},checkIndex:function(t){if(this.length<this.zero+t||t<0)throw new Error("End of data reached (data length = "+this.length+", asked index = "+t+"). 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Is it in a supported JavaScript type (String, Blob, ArrayBuffer, etc) ?"))})}},{"./base64":1,"./external":6,"./nodejsUtils":14,"./support":30,"set-immediate-shim":54}],33:[function(t,e,r){"use strict";var i=t("./reader/readerFor"),n=t("./utils"),s=t("./signature"),a=t("./zipEntry"),o=(t("./utf8"),t("./support"));function h(t){this.files=[],this.loadOptions=t}h.prototype={checkSignature:function(t){if(!this.reader.readAndCheckSignature(t)){this.reader.index-=4;var e=this.reader.readString(4);throw new Error("Corrupted zip or bug: unexpected signature ("+n.pretty(e)+", expected "+n.pretty(t)+")")}},isSignature:function(t,e){var r=this.reader.index;this.reader.setIndex(t);var i=this.reader.readString(4)===e;return this.reader.setIndex(r),i},readBlockEndOfCentral:function(){this.diskNumber=this.reader.readInt(2),this.diskWithCentralDirStart=this.reader.readInt(2),this.centralDirRecordsOnThisDisk=this.reader.readInt(2),this.centralDirRecords=this.reader.readInt(2),this.centralDirSize=this.reader.readInt(4),this.centralDirOffset=this.reader.readInt(4),this.zipCommentLength=this.reader.readInt(2);var t=this.reader.readData(this.zipCommentLength),e=o.uint8array?"uint8array":"array",r=n.transformTo(e,t);this.zipComment=this.loadOptions.decodeFileName(r)},readBlockZip64EndOfCentral:function(){this.zip64EndOfCentralSize=this.reader.readInt(8),this.reader.skip(4),this.diskNumber=this.reader.readInt(4),this.diskWithCentralDirStart=this.reader.readInt(4),this.centralDirRecordsOnThisDisk=this.reader.readInt(8),this.centralDirRecords=this.reader.readInt(8),this.centralDirSize=this.reader.readInt(8),this.centralDirOffset=this.reader.readInt(8),this.zip64ExtensibleData={};for(var t,e,r,i=this.zip64EndOfCentralSize-44;0<i;)t=this.reader.readInt(2),e=this.reader.readInt(4),r=this.reader.readData(e),this.zip64ExtensibleData[t]={id:t,length:e,value:r}},readBlockZip64EndOfCentralLocator:function(){if(this.diskWithZip64CentralDirStart=this.reader.readInt(4),this.relativeOffsetEndOfZip64CentralDir=this.reader.readInt(8),this.disksCount=this.reader.readInt(4),1<this.disksCount)throw new Error("Multi-volumes zip are not supported")},readLocalFiles:function(){var t,e;for(t=0;t<this.files.length;t++)e=this.files[t],this.reader.setIndex(e.localHeaderOffset),this.checkSignature(s.LOCAL_FILE_HEADER),e.readLocalPart(this.reader),e.handleUTF8(),e.processAttributes()},readCentralDir:function(){var t;for(this.reader.setIndex(this.centralDirOffset);this.reader.readAndCheckSignature(s.CENTRAL_FILE_HEADER);)(t=new a({zip64:this.zip64},this.loadOptions)).readCentralPart(this.reader),this.files.push(t);if(this.centralDirRecords!==this.files.length&&0!==this.centralDirRecords&&0===this.files.length)throw new Error("Corrupted zip or bug: expected "+this.centralDirRecords+" records in central dir, got "+this.files.length)},readEndOfCentral:function(){var t=this.reader.lastIndexOfSignature(s.CENTRAL_DIRECTORY_END);if(t<0)throw!this.isSignature(0,s.LOCAL_FILE_HEADER)?new Error("Can't find end of central directory : is this a zip file ? If it is, see https://stuk.github.io/jszip/documentation/howto/read_zip.html"):new Error("Corrupted zip: can't find end of central directory");this.reader.setIndex(t);var e=t;if(this.checkSignature(s.CENTRAL_DIRECTORY_END),this.readBlockEndOfCentral(),this.diskNumber===n.MAX_VALUE_16BITS||this.diskWithCentralDirStart===n.MAX_VALUE_16BITS||this.centralDirRecordsOnThisDisk===n.MAX_VALUE_16BITS||this.centralDirRecords===n.MAX_VALUE_16BITS||this.centralDirSize===n.MAX_VALUE_32BITS||this.centralDirOffset===n.MAX_VALUE_32BITS){if(this.zip64=!0,(t=this.reader.lastIndexOfSignature(s.ZIP64_CENTRAL_DIRECTORY_LOCATOR))<0)throw new Error("Corrupted zip: can't find the ZIP64 end of central directory locator");if(this.reader.setIndex(t),this.checkSignature(s.ZIP64_CENTRAL_DIRECTORY_LOCATOR),this.readBlockZip64EndOfCentralLocator(),!this.isSignature(this.relativeOffsetEndOfZip64CentralDir,s.ZIP64_CENTRAL_DIRECTORY_END)&&(this.relativeOffsetEndOfZip64CentralDir=this.reader.lastIndexOfSignature(s.ZIP64_CENTRAL_DIRECTORY_END),this.relativeOffsetEndOfZip64CentralDir<0))throw new Error("Corrupted zip: can't find the ZIP64 end of central directory");this.reader.setIndex(this.relativeOffsetEndOfZip64CentralDir),this.checkSignature(s.ZIP64_CENTRAL_DIRECTORY_END),this.readBlockZip64EndOfCentral()}var r=this.centralDirOffset+this.centralDirSize;this.zip64&&(r+=20,r+=12+this.zip64EndOfCentralSize);var i=e-r;if(0<i)this.isSignature(e,s.CENTRAL_FILE_HEADER)||(this.reader.zero=i);else if(i<0)throw new Error("Corrupted zip: missing "+Math.abs(i)+" bytes.")},prepareReader:function(t){this.reader=i(t)},load:function(t){this.prepareReader(t),this.readEndOfCentral(),this.readCentralDir(),this.readLocalFiles()}},e.exports=h},{"./reader/readerFor":22,"./signature":23,"./support":30,"./utf8":31,"./utils":32,"./zipEntry":34}],34:[function(t,e,r){"use strict";var i=t("./reader/readerFor"),s=t("./utils"),n=t("./compressedObject"),a=t("./crc32"),o=t("./utf8"),h=t("./compressions"),u=t("./support");function l(t,e){this.options=t,this.loadOptions=e}l.prototype={isEncrypted:function(){return 1==(1&this.bitFlag)},useUTF8:function(){return 2048==(2048&this.bitFlag)},readLocalPart:function(t){var e,r;if(t.skip(22),this.fileNameLength=t.readInt(2),r=t.readInt(2),this.fileName=t.readData(this.fileNameLength),t.skip(r),-1===this.compressedSize||-1===this.uncompressedSize)throw new Error("Bug or corrupted zip : didn't get enough information from the central directory (compressedSize === -1 || uncompressedSize === -1)");if(null===(e=function(t){for(var e in h)if(h.hasOwnProperty(e)&&h[e].magic===t)return h[e];return null}(this.compressionMethod)))throw new Error("Corrupted zip : compression "+s.pretty(this.compressionMethod)+" unknown (inner file : "+s.transformTo("string",this.fileName)+")");this.decompressed=new n(this.compressedSize,this.uncompressedSize,this.crc32,e,t.readData(this.compressedSize))},readCentralPart:function(t){this.versionMadeBy=t.readInt(2),t.skip(2),this.bitFlag=t.readInt(2),this.compressionMethod=t.readString(2),this.date=t.readDate(),this.crc32=t.readInt(4),this.compressedSize=t.readInt(4),this.uncompressedSize=t.readInt(4);var e=t.readInt(2);if(this.extraFieldsLength=t.readInt(2),this.fileCommentLength=t.readInt(2),this.diskNumberStart=t.readInt(2),this.internalFileAttributes=t.readInt(2),this.externalFileAttributes=t.readInt(4),this.localHeaderOffset=t.readInt(4),this.isEncrypted())throw new Error("Encrypted zip are not supported");t.skip(e),this.readExtraFields(t),this.parseZIP64ExtraField(t),this.fileComment=t.readData(this.fileCommentLength)},processAttributes:function(){this.unixPermissions=null,this.dosPermissions=null;var t=this.versionMadeBy>>8;this.dir=!!(16&this.externalFileAttributes),0==t&&(this.dosPermissions=63&this.externalFileAttributes),3==t&&(this.unixPermissions=this.externalFileAttributes>>16&65535),this.dir||"/"!==this.fileNameStr.slice(-1)||(this.dir=!0)},parseZIP64ExtraField:function(t){if(this.extraFields[1]){var e=i(this.extraFields[1].value);this.uncompressedSize===s.MAX_VALUE_32BITS&&(this.uncompressedSize=e.readInt(8)),this.compressedSize===s.MAX_VALUE_32BITS&&(this.compressedSize=e.readInt(8)),this.localHeaderOffset===s.MAX_VALUE_32BITS&&(this.localHeaderOffset=e.readInt(8)),this.diskNumberStart===s.MAX_VALUE_32BITS&&(this.diskNumberStart=e.readInt(4))}},readExtraFields:function(t){var e,r,i,n=t.index+this.extraFieldsLength;for(this.extraFields||(this.extraFields={});t.index+4<n;)e=t.readInt(2),r=t.readInt(2),i=t.readData(r),this.extraFields[e]={id:e,length:r,value:i};t.setIndex(n)},handleUTF8:function(){var t=u.uint8array?"uint8array":"array";if(this.useUTF8())this.fileNameStr=o.utf8decode(this.fileName),this.fileCommentStr=o.utf8decode(this.fileComment);else{var e=this.findExtraFieldUnicodePath();if(null!==e)this.fileNameStr=e;else{var r=s.transformTo(t,this.fileName);this.fileNameStr=this.loadOptions.decodeFileName(r)}var i=this.findExtraFieldUnicodeComment();if(null!==i)this.fileCommentStr=i;else{var n=s.transformTo(t,this.fileComment);this.fileCommentStr=this.loadOptions.decodeFileName(n)}}},findExtraFieldUnicodePath:function(){var t=this.extraFields[28789];if(t){var e=i(t.value);return 1!==e.readInt(1)?null:a(this.fileName)!==e.readInt(4)?null:o.utf8decode(e.readData(t.length-5))}return null},findExtraFieldUnicodeComment:function(){var t=this.extraFields[25461];if(t){var e=i(t.value);return 1!==e.readInt(1)?null:a(this.fileComment)!==e.readInt(4)?null:o.utf8decode(e.readData(t.length-5))}return null}},e.exports=l},{"./compressedObject":2,"./compressions":3,"./crc32":4,"./reader/readerFor":22,"./support":30,"./utf8":31,"./utils":32}],35:[function(t,e,r){"use strict";function i(t,e,r){this.name=t,this.dir=r.dir,this.date=r.date,this.comment=r.comment,this.unixPermissions=r.unixPermissions,this.dosPermissions=r.dosPermissions,this._data=e,this._dataBinary=r.binary,this.options={compression:r.compression,compressionOptions:r.compressionOptions}}var s=t("./stream/StreamHelper"),n=t("./stream/DataWorker"),a=t("./utf8"),o=t("./compressedObject"),h=t("./stream/GenericWorker");i.prototype={internalStream:function(t){var e=null,r="string";try{if(!t)throw new Error("No output type specified.");var i="string"===(r=t.toLowerCase())||"text"===r;"binarystring"!==r&&"text"!==r||(r="string"),e=this._decompressWorker();var n=!this._dataBinary;n&&!i&&(e=e.pipe(new a.Utf8EncodeWorker)),!n&&i&&(e=e.pipe(new a.Utf8DecodeWorker))}catch(t){(e=new h("error")).error(t)}return new s(e,r,"")},async:function(t,e){return this.internalStream(t).accumulate(e)},nodeStream:function(t,e){return this.internalStream(t||"nodebuffer").toNodejsStream(e)},_compressWorker:function(t,e){if(this._data instanceof o&&this._data.compression.magic===t.magic)return this._data.getCompressedWorker();var r=this._decompressWorker();return this._dataBinary||(r=r.pipe(new a.Utf8EncodeWorker)),o.createWorkerFrom(r,t,e)},_decompressWorker:function(){return this._data instanceof o?this._data.getContentWorker():this._data instanceof h?this._data:new n(this._data)}};for(var u=["asText","asBinary","asNodeBuffer","asUint8Array","asArrayBuffer"],l=function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},f=0;f<u.length;f++)i.prototype[u[f]]=l;e.exports=i},{"./compressedObject":2,"./stream/DataWorker":27,"./stream/GenericWorker":28,"./stream/StreamHelper":29,"./utf8":31}],36:[function(t,l,e){(function(e){"use strict";var r,i,t=e.MutationObserver||e.WebKitMutationObserver;if(t){var n=0,s=new t(u),a=e.document.createTextNode("");s.observe(a,{characterData:!0}),r=function(){a.data=n=++n%2}}else if(e.setImmediate||void 0===e.MessageChannel)r="document"in e&&"onreadystatechange"in e.document.createElement("script")?function(){var t=e.document.createElement("script");t.onreadystatechange=function(){u(),t.onreadystatechange=null,t.parentNode.removeChild(t),t=null},e.document.documentElement.appendChild(t)}:function(){setTimeout(u,0)};else{var o=new e.MessageChannel;o.port1.onmessage=u,r=function(){o.port2.postMessage(0)}}var h=[];function u(){var t,e;i=!0;for(var r=h.length;r;){for(e=h,h=[],t=-1;++t<r;)e[t]();r=h.length}i=!1}l.exports=function(t){1!==h.push(t)||i||r()}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],37:[function(t,e,r){"use strict";var n=t("immediate");function u(){}var l={},s=["REJECTED"],a=["FULFILLED"],i=["PENDING"];function o(t){if("function"!=typeof t)throw new TypeError("resolver must be a function");this.state=i,this.queue=[],this.outcome=void 0,t!==u&&c(this,t)}function h(t,e,r){this.promise=t,"function"==typeof e&&(this.onFulfilled=e,this.callFulfilled=this.otherCallFulfilled),"function"==typeof r&&(this.onRejected=r,this.callRejected=this.otherCallRejected)}function f(e,r,i){n(function(){var t;try{t=r(i)}catch(t){return l.reject(e,t)}t===e?l.reject(e,new TypeError("Cannot resolve promise with itself")):l.resolve(e,t)})}function d(t){var e=t&&t.then;if(t&&("object"==typeof t||"function"==typeof t)&&"function"==typeof e)return function(){e.apply(t,arguments)}}function c(e,t){var r=!1;function i(t){r||(r=!0,l.reject(e,t))}function n(t){r||(r=!0,l.resolve(e,t))}var s=p(function(){t(n,i)});"error"===s.status&&i(s.value)}function p(t,e){var r={};try{r.value=t(e),r.status="success"}catch(t){r.status="error",r.value=t}return r}(e.exports=o).prototype.finally=function(e){if("function"!=typeof e)return this;var r=this.constructor;return this.then(function(t){return r.resolve(e()).then(function(){return t})},function(t){return r.resolve(e()).then(function(){throw t})})},o.prototype.catch=function(t){return this.then(null,t)},o.prototype.then=function(t,e){if("function"!=typeof t&&this.state===a||"function"!=typeof e&&this.state===s)return this;var r=new this.constructor(u);this.state!==i?f(r,this.state===a?t:e,this.outcome):this.queue.push(new h(r,t,e));return r},h.prototype.callFulfilled=function(t){l.resolve(this.promise,t)},h.prototype.otherCallFulfilled=function(t){f(this.promise,this.onFulfilled,t)},h.prototype.callRejected=function(t){l.reject(this.promise,t)},h.prototype.otherCallRejected=function(t){f(this.promise,this.onRejected,t)},l.resolve=function(t,e){var r=p(d,e);if("error"===r.status)return l.reject(t,r.value);var i=r.value;if(i)c(t,i);else{t.state=a,t.outcome=e;for(var n=-1,s=t.queue.length;++n<s;)t.queue[n].callFulfilled(e)}return t},l.reject=function(t,e){t.state=s,t.outcome=e;for(var r=-1,i=t.queue.length;++r<i;)t.queue[r].callRejected(e);return t},o.resolve=function(t){if(t instanceof this)return t;return l.resolve(new this(u),t)},o.reject=function(t){var e=new this(u);return l.reject(e,t)},o.all=function(t){var r=this;if("[object Array]"!==Object.prototype.toString.call(t))return this.reject(new TypeError("must be an array"));var i=t.length,n=!1;if(!i)return this.resolve([]);var s=new Array(i),a=0,e=-1,o=new this(u);for(;++e<i;)h(t[e],e);return o;function h(t,e){r.resolve(t).then(function(t){s[e]=t,++a!==i||n||(n=!0,l.resolve(o,s))},function(t){n||(n=!0,l.reject(o,t))})}},o.race=function(t){var e=this;if("[object Array]"!==Object.prototype.toString.call(t))return this.reject(new TypeError("must be an array"));var r=t.length,i=!1;if(!r)return this.resolve([]);var n=-1,s=new this(u);for(;++n<r;)a=t[n],e.resolve(a).then(function(t){i||(i=!0,l.resolve(s,t))},function(t){i||(i=!0,l.reject(s,t))});var a;return s}},{immediate:36}],38:[function(t,e,r){"use strict";var i={};(0,t("./lib/utils/common").assign)(i,t("./lib/deflate"),t("./lib/inflate"),t("./lib/zlib/constants")),e.exports=i},{"./lib/deflate":39,"./lib/inflate":40,"./lib/utils/common":41,"./lib/zlib/constants":44}],39:[function(t,e,r){"use strict";var a=t("./zlib/deflate"),o=t("./utils/common"),h=t("./utils/strings"),n=t("./zlib/messages"),s=t("./zlib/zstream"),u=Object.prototype.toString,l=0,f=-1,d=0,c=8;function p(t){if(!(this instanceof p))return new p(t);this.options=o.assign({level:f,method:c,chunkSize:16384,windowBits:15,memLevel:8,strategy:d,to:""},t||{});var e=this.options;e.raw&&0<e.windowBits?e.windowBits=-e.windowBits:e.gzip&&0<e.windowBits&&e.windowBits<16&&(e.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new s,this.strm.avail_out=0;var r=a.deflateInit2(this.strm,e.level,e.method,e.windowBits,e.memLevel,e.strategy);if(r!==l)throw new Error(n[r]);if(e.header&&a.deflateSetHeader(this.strm,e.header),e.dictionary){var i;if(i="string"==typeof e.dictionary?h.string2buf(e.dictionary):"[object ArrayBuffer]"===u.call(e.dictionary)?new Uint8Array(e.dictionary):e.dictionary,(r=a.deflateSetDictionary(this.strm,i))!==l)throw new Error(n[r]);this._dict_set=!0}}function i(t,e){var r=new p(e);if(r.push(t,!0),r.err)throw r.msg||n[r.err];return r.result}p.prototype.push=function(t,e){var r,i,n=this.strm,s=this.options.chunkSize;if(this.ended)return!1;i=e===~~e?e:!0===e?4:0,"string"==typeof t?n.input=h.string2buf(t):"[object ArrayBuffer]"===u.call(t)?n.input=new Uint8Array(t):n.input=t,n.next_in=0,n.avail_in=n.input.length;do{if(0===n.avail_out&&(n.output=new o.Buf8(s),n.next_out=0,n.avail_out=s),1!==(r=a.deflate(n,i))&&r!==l)return this.onEnd(r),!(this.ended=!0);0!==n.avail_out&&(0!==n.avail_in||4!==i&&2!==i)||("string"===this.options.to?this.onData(h.buf2binstring(o.shrinkBuf(n.output,n.next_out))):this.onData(o.shrinkBuf(n.output,n.next_out)))}while((0<n.avail_in||0===n.avail_out)&&1!==r);return 4===i?(r=a.deflateEnd(this.strm),this.onEnd(r),this.ended=!0,r===l):2!==i||(this.onEnd(l),!(n.avail_out=0))},p.prototype.onData=function(t){this.chunks.push(t)},p.prototype.onEnd=function(t){t===l&&("string"===this.options.to?this.result=this.chunks.join(""):this.result=o.flattenChunks(this.chunks)),this.chunks=[],this.err=t,this.msg=this.strm.msg},r.Deflate=p,r.deflate=i,r.deflateRaw=function(t,e){return(e=e||{}).raw=!0,i(t,e)},r.gzip=function(t,e){return(e=e||{}).gzip=!0,i(t,e)}},{"./utils/common":41,"./utils/strings":42,"./zlib/deflate":46,"./zlib/messages":51,"./zlib/zstream":53}],40:[function(t,e,r){"use strict";var d=t("./zlib/inflate"),c=t("./utils/common"),p=t("./utils/strings"),m=t("./zlib/constants"),i=t("./zlib/messages"),n=t("./zlib/zstream"),s=t("./zlib/gzheader"),_=Object.prototype.toString;function a(t){if(!(this instanceof a))return new a(t);this.options=c.assign({chunkSize:16384,windowBits:0,to:""},t||{});var 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R(t,0===t.avail_out?-5:_);if(i.strm=t,r=i.last_flush,i.last_flush=e,i.status===C)if(2===i.wrap)t.adler=0,U(i,31),U(i,139),U(i,8),i.gzhead?(U(i,(i.gzhead.text?1:0)+(i.gzhead.hcrc?2:0)+(i.gzhead.extra?4:0)+(i.gzhead.name?8:0)+(i.gzhead.comment?16:0)),U(i,255&i.gzhead.time),U(i,i.gzhead.time>>8&255),U(i,i.gzhead.time>>16&255),U(i,i.gzhead.time>>24&255),U(i,9===i.level?2:2<=i.strategy||i.level<2?4:0),U(i,255&i.gzhead.os),i.gzhead.extra&&i.gzhead.extra.length&&(U(i,255&i.gzhead.extra.length),U(i,i.gzhead.extra.length>>8&255)),i.gzhead.hcrc&&(t.adler=p(t.adler,i.pending_buf,i.pending,0)),i.gzindex=0,i.status=69):(U(i,0),U(i,0),U(i,0),U(i,0),U(i,0),U(i,9===i.level?2:2<=i.strategy||i.level<2?4:0),U(i,3),i.status=E);else{var a=v+(i.w_bits-8<<4)<<8;a|=(2<=i.strategy||i.level<2?0:i.level<6?1:6===i.level?2:3)<<6,0!==i.strstart&&(a|=32),a+=31-a%31,i.status=E,P(i,a),0!==i.strstart&&(P(i,t.adler>>>16),P(i,65535&t.adler)),t.adler=1}if(69===i.status)if(i.gzhead.extra){for(n=i.pending;i.gzindex<(65535&i.gzhead.extra.length)&&(i.pending!==i.pending_buf_size||(i.gzhead.hcrc&&i.pending>n&&(t.adler=p(t.adler,i.pending_buf,i.pending-n,n)),F(t),n=i.pending,i.pending!==i.pending_buf_size));)U(i,255&i.gzhead.extra[i.gzindex]),i.gzindex++;i.gzhead.hcrc&&i.pending>n&&(t.adler=p(t.adler,i.pending_buf,i.pending-n,n)),i.gzindex===i.gzhead.extra.length&&(i.gzindex=0,i.status=73)}else i.status=73;if(73===i.status)if(i.gzhead.name){n=i.pending;do{if(i.pending===i.pending_buf_size&&(i.gzhead.hcrc&&i.pending>n&&(t.adler=p(t.adler,i.pending_buf,i.pending-n,n)),F(t),n=i.pending,i.pending===i.pending_buf_size)){s=1;break}s=i.gzindex<i.gzhead.name.length?255&i.gzhead.name.charCodeAt(i.gzindex++):0,U(i,s)}while(0!==s);i.gzhead.hcrc&&i.pending>n&&(t.adler=p(t.adler,i.pending_buf,i.pending-n,n)),0===s&&(i.gzindex=0,i.status=91)}else i.status=91;if(91===i.status)if(i.gzhead.comment){n=i.pending;do{if(i.pending===i.pending_buf_size&&(i.gzhead.hcrc&&i.pending>n&&(t.adler=p(t.adler,i.pending_buf,i.pending-n,n)),F(t),n=i.pending,i.pending===i.pending_buf_size)){s=1;break}s=i.gzindex<i.gzhead.comment.length?255&i.gzhead.comment.charCodeAt(i.gzindex++):0,U(i,s)}while(0!==s);i.gzhead.hcrc&&i.pending>n&&(t.adler=p(t.adler,i.pending_buf,i.pending-n,n)),0===s&&(i.status=103)}else i.status=103;if(103===i.status&&(i.gzhead.hcrc?(i.pending+2>i.pending_buf_size&&F(t),i.pending+2<=i.pending_buf_size&&(U(i,255&t.adler),U(i,t.adler>>8&255),t.adler=0,i.status=E)):i.status=E),0!==i.pending){if(F(t),0===t.avail_out)return i.last_flush=-1,m}else if(0===t.avail_in&&T(e)<=T(r)&&e!==f)return R(t,-5);if(666===i.status&&0!==t.avail_in)return R(t,-5);if(0!==t.avail_in||0!==i.lookahead||e!==l&&666!==i.status){var o=2===i.strategy?function(t,e){for(var r;;){if(0===t.lookahead&&(j(t),0===t.lookahead)){if(e===l)return A;break}if(t.match_length=0,r=u._tr_tally(t,0,t.window[t.strstart]),t.lookahead--,t.strstart++,r&&(N(t,!1),0===t.strm.avail_out))return A}return t.insert=0,e===f?(N(t,!0),0===t.strm.avail_out?O:B):t.last_lit&&(N(t,!1),0===t.strm.avail_out)?A:I}(i,e):3===i.strategy?function(t,e){for(var r,i,n,s,a=t.window;;){if(t.lookahead<=S){if(j(t),t.lookahead<=S&&e===l)return A;if(0===t.lookahead)break}if(t.match_length=0,t.lookahead>=x&&0<t.strstart&&(i=a[n=t.strstart-1])===a[++n]&&i===a[++n]&&i===a[++n]){s=t.strstart+S;do{}while(i===a[++n]&&i===a[++n]&&i===a[++n]&&i===a[++n]&&i===a[++n]&&i===a[++n]&&i===a[++n]&&i===a[++n]&&n<s);t.match_length=S-(s-n),t.match_length>t.lookahead&&(t.match_length=t.lookahead)}if(t.match_length>=x?(r=u._tr_tally(t,1,t.match_length-x),t.lookahead-=t.match_length,t.strstart+=t.match_length,t.match_length=0):(r=u._tr_tally(t,0,t.window[t.strstart]),t.lookahead--,t.strstart++),r&&(N(t,!1),0===t.strm.avail_out))return A}return t.insert=0,e===f?(N(t,!0),0===t.strm.avail_out?O:B):t.last_lit&&(N(t,!1),0===t.strm.avail_out)?A:I}(i,e):h[i.level].func(i,e);if(o!==O&&o!==B||(i.status=666),o===A||o===O)return 0===t.avail_out&&(i.last_flush=-1),m;if(o===I&&(1===e?u._tr_align(i):5!==e&&(u._tr_stored_block(i,0,0,!1),3===e&&(D(i.head),0===i.lookahead&&(i.strstart=0,i.block_start=0,i.insert=0))),F(t),0===t.avail_out))return i.last_flush=-1,m}return e!==f?m:i.wrap<=0?1:(2===i.wrap?(U(i,255&t.adler),U(i,t.adler>>8&255),U(i,t.adler>>16&255),U(i,t.adler>>24&255),U(i,255&t.total_in),U(i,t.total_in>>8&255),U(i,t.total_in>>16&255),U(i,t.total_in>>24&255)):(P(i,t.adler>>>16),P(i,65535&t.adler)),F(t),0<i.wrap&&(i.wrap=-i.wrap),0!==i.pending?m:1)},r.deflateEnd=function(t){var e;return t&&t.state?(e=t.state.status)!==C&&69!==e&&73!==e&&91!==e&&103!==e&&e!==E&&666!==e?R(t,_):(t.state=null,e===E?R(t,-3):m):_},r.deflateSetDictionary=function(t,e){var r,i,n,s,a,o,h,u,l=e.length;if(!t||!t.state)return _;if(2===(s=(r=t.state).wrap)||1===s&&r.status!==C||r.lookahead)return _;for(1===s&&(t.adler=c(t.adler,e,l,0)),r.wrap=0,l>=r.w_size&&(0===s&&(D(r.head),r.strstart=0,r.block_start=0,r.insert=0),u=new d.Buf8(r.w_size),d.arraySet(u,e,l-r.w_size,r.w_size,0),e=u,l=r.w_size),a=t.avail_in,o=t.next_in,h=t.input,t.avail_in=l,t.next_in=0,t.input=e,j(r);r.lookahead>=x;){for(i=r.strstart,n=r.lookahead-(x-1);r.ins_h=(r.ins_h<<r.hash_shift^r.window[i+x-1])&r.hash_mask,r.prev[i&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=i,i++,--n;);r.strstart=i,r.lookahead=x-1,j(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=x-1,r.match_available=0,t.next_in=o,t.input=h,t.avail_in=a,r.wrap=s,m},r.deflateInfo="pako deflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./messages":51,"./trees":52}],47:[function(t,e,r){"use strict";e.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}},{}],48:[function(t,e,r){"use strict";e.exports=function(t,e){var r,i,n,s,a,o,h,u,l,f,d,c,p,m,_,g,b,v,y,w,k,x,S,z,C;r=t.state,i=t.next_in,z=t.input,n=i+(t.avail_in-5),s=t.next_out,C=t.output,a=s-(e-t.avail_out),o=s+(t.avail_out-257),h=r.dmax,u=r.wsize,l=r.whave,f=r.wnext,d=r.window,c=r.hold,p=r.bits,m=r.lencode,_=r.distcode,g=(1<<r.lenbits)-1,b=(1<<r.distbits)-1;t:do{p<15&&(c+=z[i++]<<p,p+=8,c+=z[i++]<<p,p+=8),v=m[c&g];e:for(;;){if(c>>>=y=v>>>24,p-=y,0===(y=v>>>16&255))C[s++]=65535&v;else{if(!(16&y)){if(0==(64&y)){v=m[(65535&v)+(c&(1<<y)-1)];continue e}if(32&y){r.mode=12;break t}t.msg="invalid literal/length code",r.mode=30;break t}w=65535&v,(y&=15)&&(p<y&&(c+=z[i++]<<p,p+=8),w+=c&(1<<y)-1,c>>>=y,p-=y),p<15&&(c+=z[i++]<<p,p+=8,c+=z[i++]<<p,p+=8),v=_[c&b];r:for(;;){if(c>>>=y=v>>>24,p-=y,!(16&(y=v>>>16&255))){if(0==(64&y)){v=_[(65535&v)+(c&(1<<y)-1)];continue r}t.msg="invalid distance code",r.mode=30;break t}if(k=65535&v,p<(y&=15)&&(c+=z[i++]<<p,(p+=8)<y&&(c+=z[i++]<<p,p+=8)),h<(k+=c&(1<<y)-1)){t.msg="invalid distance too far back",r.mode=30;break t}if(c>>>=y,p-=y,(y=s-a)<k){if(l<(y=k-y)&&r.sane){t.msg="invalid distance too far back",r.mode=30;break t}if(S=d,(x=0)===f){if(x+=u-y,y<w){for(w-=y;C[s++]=d[x++],--y;);x=s-k,S=C}}else if(f<y){if(x+=u+f-y,(y-=f)<w){for(w-=y;C[s++]=d[x++],--y;);if(x=0,f<w){for(w-=y=f;C[s++]=d[x++],--y;);x=s-k,S=C}}}else if(x+=f-y,y<w){for(w-=y;C[s++]=d[x++],--y;);x=s-k,S=C}for(;2<w;)C[s++]=S[x++],C[s++]=S[x++],C[s++]=S[x++],w-=3;w&&(C[s++]=S[x++],1<w&&(C[s++]=S[x++]))}else{for(x=s-k;C[s++]=C[x++],C[s++]=C[x++],C[s++]=C[x++],2<(w-=3););w&&(C[s++]=C[x++],1<w&&(C[s++]=C[x++]))}break}}break}}while(i<n&&s<o);i-=w=p>>3,c&=(1<<(p-=w<<3))-1,t.next_in=i,t.next_out=s,t.avail_in=i<n?n-i+5:5-(i-n),t.avail_out=s<o?o-s+257:257-(s-o),r.hold=c,r.bits=p}},{}],49:[function(t,e,r){"use strict";var I=t("../utils/common"),O=t("./adler32"),B=t("./crc32"),R=t("./inffast"),T=t("./inftrees"),D=1,F=2,N=0,U=-2,P=1,i=852,n=592;function L(t){return(t>>>24&255)+(t>>>8&65280)+((65280&t)<<8)+((255&t)<<24)}function 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t&&t.state?(i=t.state,e<0?(r=0,e=-e):(r=1+(e>>4),e<48&&(e&=15)),e&&(e<8||15<e)?U:(null!==i.window&&i.wbits!==e&&(i.window=null),i.wrap=r,i.wbits=e,o(t))):U}function u(t,e){var r,i;return t?(i=new s,(t.state=i).window=null,(r=h(t,e))!==N&&(t.state=null),r):U}var l,f,d=!0;function j(t){if(d){var e;for(l=new I.Buf32(512),f=new I.Buf32(32),e=0;e<144;)t.lens[e++]=8;for(;e<256;)t.lens[e++]=9;for(;e<280;)t.lens[e++]=7;for(;e<288;)t.lens[e++]=8;for(T(D,t.lens,0,288,l,0,t.work,{bits:9}),e=0;e<32;)t.lens[e++]=5;T(F,t.lens,0,32,f,0,t.work,{bits:5}),d=!1}t.lencode=l,t.lenbits=9,t.distcode=f,t.distbits=5}function Z(t,e,r,i){var n,s=t.state;return null===s.window&&(s.wsize=1<<s.wbits,s.wnext=0,s.whave=0,s.window=new I.Buf8(s.wsize)),i>=s.wsize?(I.arraySet(s.window,e,r-s.wsize,s.wsize,0),s.wnext=0,s.whave=s.wsize):(i<(n=s.wsize-s.wnext)&&(n=i),I.arraySet(s.window,e,r-i,n,s.wnext),(i-=n)?(I.arraySet(s.window,e,r-i,i,0),s.wnext=i,s.whave=s.wsize):(s.wnext+=n,s.wnext===s.wsize&&(s.wnext=0),s.whave<s.wsize&&(s.whave+=n))),0}r.inflateReset=o,r.inflateReset2=h,r.inflateResetKeep=a,r.inflateInit=function(t){return u(t,15)},r.inflateInit2=u,r.inflate=function(t,e){var r,i,n,s,a,o,h,u,l,f,d,c,p,m,_,g,b,v,y,w,k,x,S,z,C=0,E=new I.Buf8(4),A=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!t||!t.state||!t.output||!t.input&&0!==t.avail_in)return U;12===(r=t.state).mode&&(r.mode=13),a=t.next_out,n=t.output,h=t.avail_out,s=t.next_in,i=t.input,o=t.avail_in,u=r.hold,l=r.bits,f=o,d=h,x=N;t:for(;;)switch(r.mode){case P:if(0===r.wrap){r.mode=13;break}for(;l<16;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(2&r.wrap&&35615===u){E[r.check=0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0),l=u=0,r.mode=2;break}if(r.flags=0,r.head&&(r.head.done=!1),!(1&r.wrap)||(((255&u)<<8)+(u>>8))%31){t.msg="incorrect header check",r.mode=30;break}if(8!=(15&u)){t.msg="unknown compression method",r.mode=30;break}if(l-=4,k=8+(15&(u>>>=4)),0===r.wbits)r.wbits=k;else if(k>r.wbits){t.msg="invalid window size",r.mode=30;break}r.dmax=1<<k,t.adler=r.check=1,r.mode=512&u?10:12,l=u=0;break;case 2:for(;l<16;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(r.flags=u,8!=(255&r.flags)){t.msg="unknown compression method",r.mode=30;break}if(57344&r.flags){t.msg="unknown header flags set",r.mode=30;break}r.head&&(r.head.text=u>>8&1),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0)),l=u=0,r.mode=3;case 3:for(;l<32;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}r.head&&(r.head.time=u),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,E[2]=u>>>16&255,E[3]=u>>>24&255,r.check=B(r.check,E,4,0)),l=u=0,r.mode=4;case 4:for(;l<16;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}r.head&&(r.head.xflags=255&u,r.head.os=u>>8),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0)),l=u=0,r.mode=5;case 5:if(1024&r.flags){for(;l<16;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}r.length=u,r.head&&(r.head.extra_len=u),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0)),l=u=0}else r.head&&(r.head.extra=null);r.mode=6;case 6:if(1024&r.flags&&(o<(c=r.length)&&(c=o),c&&(r.head&&(k=r.head.extra_len-r.length,r.head.extra||(r.head.extra=new Array(r.head.extra_len)),I.arraySet(r.head.extra,i,s,c,k)),512&r.flags&&(r.check=B(r.check,i,c,s)),o-=c,s+=c,r.length-=c),r.length))break t;r.length=0,r.mode=7;case 7:if(2048&r.flags){if(0===o)break t;for(c=0;k=i[s+c++],r.head&&k&&r.length<65536&&(r.head.name+=String.fromCharCode(k)),k&&c<o;);if(512&r.flags&&(r.check=B(r.check,i,c,s)),o-=c,s+=c,k)break t}else r.head&&(r.head.name=null);r.length=0,r.mode=8;case 8:if(4096&r.flags){if(0===o)break t;for(c=0;k=i[s+c++],r.head&&k&&r.length<65536&&(r.head.comment+=String.fromCharCode(k)),k&&c<o;);if(512&r.flags&&(r.check=B(r.check,i,c,s)),o-=c,s+=c,k)break t}else r.head&&(r.head.comment=null);r.mode=9;case 9:if(512&r.flags){for(;l<16;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(u!==(65535&r.check)){t.msg="header crc mismatch",r.mode=30;break}l=u=0}r.head&&(r.head.hcrc=r.flags>>9&1,r.head.done=!0),t.adler=r.check=0,r.mode=12;break;case 10:for(;l<32;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}t.adler=r.check=L(u),l=u=0,r.mode=11;case 11:if(0===r.havedict)return t.next_out=a,t.avail_out=h,t.next_in=s,t.avail_in=o,r.hold=u,r.bits=l,2;t.adler=r.check=1,r.mode=12;case 12:if(5===e||6===e)break t;case 13:if(r.last){u>>>=7&l,l-=7&l,r.mode=27;break}for(;l<3;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}switch(r.last=1&u,l-=1,3&(u>>>=1)){case 0:r.mode=14;break;case 1:if(j(r),r.mode=20,6!==e)break;u>>>=2,l-=2;break t;case 2:r.mode=17;break;case 3:t.msg="invalid block type",r.mode=30}u>>>=2,l-=2;break;case 14:for(u>>>=7&l,l-=7&l;l<32;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if((65535&u)!=(u>>>16^65535)){t.msg="invalid stored block lengths",r.mode=30;break}if(r.length=65535&u,l=u=0,r.mode=15,6===e)break t;case 15:r.mode=16;case 16:if(c=r.length){if(o<c&&(c=o),h<c&&(c=h),0===c)break t;I.arraySet(n,i,s,c,a),o-=c,s+=c,h-=c,a+=c,r.length-=c;break}r.mode=12;break;case 17:for(;l<14;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(r.nlen=257+(31&u),u>>>=5,l-=5,r.ndist=1+(31&u),u>>>=5,l-=5,r.ncode=4+(15&u),u>>>=4,l-=4,286<r.nlen||30<r.ndist){t.msg="too many length or distance symbols",r.mode=30;break}r.have=0,r.mode=18;case 18:for(;r.have<r.ncode;){for(;l<3;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}r.lens[A[r.have++]]=7&u,u>>>=3,l-=3}for(;r.have<19;)r.lens[A[r.have++]]=0;if(r.lencode=r.lendyn,r.lenbits=7,S={bits:r.lenbits},x=T(0,r.lens,0,19,r.lencode,0,r.work,S),r.lenbits=S.bits,x){t.msg="invalid code lengths set",r.mode=30;break}r.have=0,r.mode=19;case 19:for(;r.have<r.nlen+r.ndist;){for(;g=(C=r.lencode[u&(1<<r.lenbits)-1])>>>16&255,b=65535&C,!((_=C>>>24)<=l);){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(b<16)u>>>=_,l-=_,r.lens[r.have++]=b;else{if(16===b){for(z=_+2;l<z;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(u>>>=_,l-=_,0===r.have){t.msg="invalid bit length repeat",r.mode=30;break}k=r.lens[r.have-1],c=3+(3&u),u>>>=2,l-=2}else if(17===b){for(z=_+3;l<z;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}l-=_,k=0,c=3+(7&(u>>>=_)),u>>>=3,l-=3}else{for(z=_+7;l<z;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}l-=_,k=0,c=11+(127&(u>>>=_)),u>>>=7,l-=7}if(r.have+c>r.nlen+r.ndist){t.msg="invalid bit length repeat",r.mode=30;break}for(;c--;)r.lens[r.have++]=k}}if(30===r.mode)break;if(0===r.lens[256]){t.msg="invalid code -- missing end-of-block",r.mode=30;break}if(r.lenbits=9,S={bits:r.lenbits},x=T(D,r.lens,0,r.nlen,r.lencode,0,r.work,S),r.lenbits=S.bits,x){t.msg="invalid literal/lengths set",r.mode=30;break}if(r.distbits=6,r.distcode=r.distdyn,S={bits:r.distbits},x=T(F,r.lens,r.nlen,r.ndist,r.distcode,0,r.work,S),r.distbits=S.bits,x){t.msg="invalid distances set",r.mode=30;break}if(r.mode=20,6===e)break t;case 20:r.mode=21;case 21:if(6<=o&&258<=h){t.next_out=a,t.avail_out=h,t.next_in=s,t.avail_in=o,r.hold=u,r.bits=l,R(t,d),a=t.next_out,n=t.output,h=t.avail_out,s=t.next_in,i=t.input,o=t.avail_in,u=r.hold,l=r.bits,12===r.mode&&(r.back=-1);break}for(r.back=0;g=(C=r.lencode[u&(1<<r.lenbits)-1])>>>16&255,b=65535&C,!((_=C>>>24)<=l);){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(g&&0==(240&g)){for(v=_,y=g,w=b;g=(C=r.lencode[w+((u&(1<<v+y)-1)>>v)])>>>16&255,b=65535&C,!(v+(_=C>>>24)<=l);){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}u>>>=v,l-=v,r.back+=v}if(u>>>=_,l-=_,r.back+=_,r.length=b,0===g){r.mode=26;break}if(32&g){r.back=-1,r.mode=12;break}if(64&g){t.msg="invalid literal/length code",r.mode=30;break}r.extra=15&g,r.mode=22;case 22:if(r.extra){for(z=r.extra;l<z;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}r.length+=u&(1<<r.extra)-1,u>>>=r.extra,l-=r.extra,r.back+=r.extra}r.was=r.length,r.mode=23;case 23:for(;g=(C=r.distcode[u&(1<<r.distbits)-1])>>>16&255,b=65535&C,!((_=C>>>24)<=l);){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(0==(240&g)){for(v=_,y=g,w=b;g=(C=r.distcode[w+((u&(1<<v+y)-1)>>v)])>>>16&255,b=65535&C,!(v+(_=C>>>24)<=l);){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}u>>>=v,l-=v,r.back+=v}if(u>>>=_,l-=_,r.back+=_,64&g){t.msg="invalid distance code",r.mode=30;break}r.offset=b,r.extra=15&g,r.mode=24;case 24:if(r.extra){for(z=r.extra;l<z;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}r.offset+=u&(1<<r.extra)-1,u>>>=r.extra,l-=r.extra,r.back+=r.extra}if(r.offset>r.dmax){t.msg="invalid distance too far back",r.mode=30;break}r.mode=25;case 25:if(0===h)break t;if(c=d-h,r.offset>c){if((c=r.offset-c)>r.whave&&r.sane){t.msg="invalid distance too far back",r.mode=30;break}p=c>r.wnext?(c-=r.wnext,r.wsize-c):r.wnext-c,c>r.length&&(c=r.length),m=r.window}else m=n,p=a-r.offset,c=r.length;for(h<c&&(c=h),h-=c,r.length-=c;n[a++]=m[p++],--c;);0===r.length&&(r.mode=21);break;case 26:if(0===h)break t;n[a++]=r.length,h--,r.mode=21;break;case 27:if(r.wrap){for(;l<32;){if(0===o)break t;o--,u|=i[s++]<<l,l+=8}if(d-=h,t.total_out+=d,r.total+=d,d&&(t.adler=r.check=r.flags?B(r.check,n,d,a-d):O(r.check,n,d,a-d)),d=h,(r.flags?u:L(u))!==r.check){t.msg="incorrect data check",r.mode=30;break}l=u=0}r.mode=28;case 28:if(r.wrap&&r.flags){for(;l<32;){if(0===o)break t;o--,u+=i[s++]<<l,l+=8}if(u!==(4294967295&r.total)){t.msg="incorrect length check",r.mode=30;break}l=u=0}r.mode=29;case 29:x=1;break t;case 30:x=-3;break t;case 31:return-4;case 32:default:return U}return t.next_out=a,t.avail_out=h,t.next_in=s,t.avail_in=o,r.hold=u,r.bits=l,(r.wsize||d!==t.avail_out&&r.mode<30&&(r.mode<27||4!==e))&&Z(t,t.output,t.next_out,d-t.avail_out)?(r.mode=31,-4):(f-=t.avail_in,d-=t.avail_out,t.total_in+=f,t.total_out+=d,r.total+=d,r.wrap&&d&&(t.adler=r.check=r.flags?B(r.check,n,d,t.next_out-d):O(r.check,n,d,t.next_out-d)),t.data_type=r.bits+(r.last?64:0)+(12===r.mode?128:0)+(20===r.mode||15===r.mode?256:0),(0==f&&0===d||4===e)&&x===N&&(x=-5),x)},r.inflateEnd=function(t){if(!t||!t.state)return U;var e=t.state;return e.window&&(e.window=null),t.state=null,N},r.inflateGetHeader=function(t,e){var r;return t&&t.state?0==(2&(r=t.state).wrap)?U:((r.head=e).done=!1,N):U},r.inflateSetDictionary=function(t,e){var r,i=e.length;return t&&t.state?0!==(r=t.state).wrap&&11!==r.mode?U:11===r.mode&&O(1,e,i,0)!==r.check?-3:Z(t,e,i,i)?(r.mode=31,-4):(r.havedict=1,N):U},r.inflateInfo="pako inflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./inffast":48,"./inftrees":50}],50:[function(t,e,r){"use strict";var D=t("../utils/common"),F=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0],N=[16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78],U=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0],P=[16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64];e.exports=function(t,e,r,i,n,s,a,o){var h,u,l,f,d,c,p,m,_,g=o.bits,b=0,v=0,y=0,w=0,k=0,x=0,S=0,z=0,C=0,E=0,A=null,I=0,O=new D.Buf16(16),B=new D.Buf16(16),R=null,T=0;for(b=0;b<=15;b++)O[b]=0;for(v=0;v<i;v++)O[e[r+v]]++;for(k=g,w=15;1<=w&&0===O[w];w--);if(w<k&&(k=w),0===w)return n[s++]=20971520,n[s++]=20971520,o.bits=1,0;for(y=1;y<w&&0===O[y];y++);for(k<y&&(k=y),b=z=1;b<=15;b++)if(z<<=1,(z-=O[b])<0)return-1;if(0<z&&(0===t||1!==w))return-1;for(B[1]=0,b=1;b<15;b++)B[b+1]=B[b]+O[b];for(v=0;v<i;v++)0!==e[r+v]&&(a[B[e[r+v]]++]=v);if(c=0===t?(A=R=a,19):1===t?(A=F,I-=257,R=N,T-=257,256):(A=U,R=P,-1),b=y,d=s,S=v=E=0,l=-1,f=(C=1<<(x=k))-1,1===t&&852<C||2===t&&592<C)return 1;for(;;){for(p=b-S,_=a[v]<c?(m=0,a[v]):a[v]>c?(m=R[T+a[v]],A[I+a[v]]):(m=96,0),h=1<<b-S,y=u=1<<x;n[d+(E>>S)+(u-=h)]=p<<24|m<<16|_|0,0!==u;);for(h=1<<b-1;E&h;)h>>=1;if(0!==h?(E&=h-1,E+=h):E=0,v++,0==--O[b]){if(b===w)break;b=e[r+a[v]]}if(k<b&&(E&f)!==l){for(0===S&&(S=k),d+=y,z=1<<(x=b-S);x+S<w&&!((z-=O[x+S])<=0);)x++,z<<=1;if(C+=1<<x,1===t&&852<C||2===t&&592<C)return 1;n[l=E&f]=k<<24|x<<16|d-s|0}}return 0!==E&&(n[d+E]=b-S<<24|64<<16|0),o.bits=k,0}},{"../utils/common":41}],51:[function(t,e,r){"use strict";e.exports={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"}},{}],52:[function(t,e,r){"use strict";var n=t("../utils/common"),o=0,h=1;function i(t){for(var e=t.length;0<=--e;)t[e]=0}var s=0,a=29,u=256,l=u+1+a,f=30,d=19,_=2*l+1,g=15,c=16,p=7,m=256,b=16,v=17,y=18,w=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0],k=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13],x=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7],S=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15],z=new Array(2*(l+2));i(z);var C=new Array(2*f);i(C);var E=new Array(512);i(E);var A=new Array(256);i(A);var I=new Array(a);i(I);var O,B,R,T=new Array(f);function D(t,e,r,i,n){this.static_tree=t,this.extra_bits=e,this.extra_base=r,this.elems=i,this.max_length=n,this.has_stree=t&&t.length}function F(t,e){this.dyn_tree=t,this.max_code=0,this.stat_desc=e}function N(t){return t<256?E[t]:E[256+(t>>>7)]}function U(t,e){t.pending_buf[t.pending++]=255&e,t.pending_buf[t.pending++]=e>>>8&255}function P(t,e,r){t.bi_valid>c-r?(t.bi_buf|=e<<t.bi_valid&65535,U(t,t.bi_buf),t.bi_buf=e>>c-t.bi_valid,t.bi_valid+=r-c):(t.bi_buf|=e<<t.bi_valid&65535,t.bi_valid+=r)}function L(t,e,r){P(t,r[2*e],r[2*e+1])}function j(t,e){for(var r=0;r|=1&t,t>>>=1,r<<=1,0<--e;);return r>>>1}function Z(t,e,r){var i,n,s=new Array(g+1),a=0;for(i=1;i<=g;i++)s[i]=a=a+r[i-1]<<1;for(n=0;n<=e;n++){var o=t[2*n+1];0!==o&&(t[2*n]=j(s[o]++,o))}}function W(t){var e;for(e=0;e<l;e++)t.dyn_ltree[2*e]=0;for(e=0;e<f;e++)t.dyn_dtree[2*e]=0;for(e=0;e<d;e++)t.bl_tree[2*e]=0;t.dyn_ltree[2*m]=1,t.opt_len=t.static_len=0,t.last_lit=t.matches=0}function 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-<hr style="border: none; height: 3px;background-color: #333; margin: 40px 0;width: 75%;"> <h2 style="font-size: 48px;">Report Info ℹ</h2><table>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">omics data type     
-           :</td><td>PTX</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">data description    
-           :</td><td>Proteomics data</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">data collection date
-           :</td><td>February 2024</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">meta condition      
-           :</td><td>Phase</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">meta batch          
-           :</td><td>Reactor, </td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">limma design        
-           :</td><td>~ 1 + Phase*X + Reactor</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">analyst name        
-           :</td><td>Thomas Rauter</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">contact info        
-           :</td><td>thomas.rauter@plus.ac.at</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">project name        
-           :</td><td>DGTX</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">method description  
-           :</td><td>NA</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">results summary     
-           :</td><td>NA</td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">conclusions         
-           :</td><td>NA</td></tr>
-</table>
-<hr><h2 style="font-size: 48px;"> Downloads 📥</h2><table>
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download="data.xlsx" class="embedded-file">
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download="meta.xlsx" class="embedded-file">
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-           color:blue; padding-right: 5px;">limma topTables     
-           :</td><td><a 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nU++4Pu3rYYF8B/7k+vtp82vXw//uft2sb35/OWAp2TZmT9vHrbz3df/vbk+fJFvk+c8rtbNYfPh3X737WQv3/jh3ZX85p/y3e9PH/Dn3z64d+e/4Vuvvn82m37m9Wfz6WdBf7aYfhb1Z8vpZ0l/tpp+lvVnH6efFf3ZxfSzqj9bTz9r+rPL6Wf96bNzzNHTRIWniQqD8d3jRJ35WHxwsYfQWo/0pTNtG0KIMcTWQi/4RRM5tQ3uLKdUYirFuUZTsJha+n6WUvMlF1dCDoTOUr+Ak//FnHxPNdToQ3Y89fwD1bmQMbqSWkuVJu7j1DpGRxhfhOm6oUW1pvFiuCWW6krtjqbxUg34eXziEz5xYvwDAKqltAiAfLVPnkUNUAoRWz7kVJqrtJrnUb9wa96l5hxWQKHHLqamvp55D4yqrx4/QabLaBDyLhTfWyw5xdJoylfxTQBNrQutuIs4hYdWzppGi7XtYhPvGhjmy/g6POkJnqTfv/riWwkBK7ImXo0zbZxcA4oAyDusdtoV86mtb2cp19JT9C3nTo9dJA0PBtV77BlPdjRHy/QMPDV7Hzo2kQu84VbpTfDod+708UWaAkTLcU3jzTHnViqWcO00iMv0OkD5CaCs94/DOowVq9H7khJP5SzrDYSl6wShHkOu7OGynvYWsDMb5l1cFyGkTMtZiUCopuBqq4T7MluE4Ivh44rPXr6CEMpvQki9SGKfcJGnCNG+WNN4Sy+9Zji5jC8ihPLrCJUnhAptIVe6x9wgBAUsIgKokIfDHk4ANGPxdo7lU9vgz0rC3HhZ7zHSvCyKBii3FFLtJdTAHmtZLEARSHbs4tS6zwToqrwJoKl1dPzlF2UKEM36msfb4QPg1UPCCxJA5XWA6hNAVVOE0DziBOYdkT/SnM8qhSvZZXCEpXgEavZxU2PQvOSdb7GmCr/FJKFqgBAAQSWSz7FzHFhWCxDiVQrYch3+2TFA9U0ATa1Bfpiz1SlA9E1rGm90vWSHLY1txD5Ofc3zALUngJqe9IJA64vsIgyWA8uMjLFyMY8V7KyCb7F7mTflMM5iqNlVhPKGKSKIGkEETtbgtFrC4wmi9gxEJcRcEUA76AW5nlV7E0RTa4QRYmoXbQoR4bem8Qa4arwWPEcNvIfU1zwPUX+CqOtZx2Qj4mJfgIXUSsOdkTGIgmw3j33sEAcIoa6nHRjWAlru4YyYKJBpFILQUpfHcz7TLUIZLlaiG+ic9wT+qr8JIfUiiQHqU4A48aExYAPl1MGNEJ9pZi6npul5gJBIPmWMTrs5ZLS5RuwlyXDYzZExXGKI2Bauw9VGJgrKGOQTax2UKwq1YYq4ULaCkZMUorXmwLc553TPgITQCebUM5y02UbmB/4aJWUeS2Ccvn/+HajGGSqNGswruYg0LXVm3HrQLyA1ye09c7qYwHhz9HDxjp8+Y/MAlJC9SFwEF+DtpKzhpMGkEyg99n9jBrhg2yoZRQFtrZED2FLZfgcL8blgvwbEPV8NWPwDzQNS5F2tFInrDJZ6F/hoBkupHp3B8uRFwHpj9ODeyMIZLX/EvhoFBq9zcDC13B1iHmgYaAFjpXLjsy7eJjSQu9h4q8y1LWbf9wBijx/JwSBFtjCV5eIb5p2Dk7cqA1we9ix0kRJSNr7P/ECvoTeIEeDH8PCBkVLvwh9f+KnMwHtuzQNBPEbgrGBXgenGpT9CaPCj0uBZavCQVErG8/ElnCrM2BpfD+JWC36ixhYZq6jTuxqQ/OKxTagZYxX1EF1G8uVbDaASBiurN4TmhOAPElZpBqv4Nqy09BHMrpqKDhwl1mbUNaaUoZullo0PjEfsqlF38DozB0wiIkQn8bkbrBJhBR6MqI9w5XowCmhiygdH5eEzkYFGhopshXjCASNt7+wsl95qDxE7W1ww1Kme2M+s+Ac80sEoixFU3vEO/6iseU9f+Kn2wExuzcNwsuqLrHqXzaZKrzNzP8oPXufnXmJOF17cqtF8Zmws6aQXUlyFAzBOmXBySMQx861ybFhY094lnIj4Y4RsK0AksEREPzAbMPnCEhH/wCswTa2xow2nmEoQzErXeiARLh8TI6s+RSa7l/4IEcKPKoSnPB2yXEFS1DIYshEBZmQNWGXjJexC2S2MVKFAFaEnYSLlH+P8ih6hr6B+yImhthQDlZUiaoItEr+I9NizPLwyY0Qgdsg+c4Cn5Md/pFfxZk9NxYjAYgQPGt4GswlXa/Iof4QY4Uc1wpPE4JBgFhH0IEjEbJFiRaLjLZBjYkUjUJhNZXSGnoULIZdqhqpXgirXhhgCWdzkiktvRQlJtyucMBixkHWGqr4Jqql15W1z4aeqRGBVwowZVMsP/2vVRKl6RJQahQlPYoPHygftwlYBratcvWBryOgdol1ISGuSpRSkN/QAedxLDtC4fqFNIzSPKDwO7tVxRF96q01ApQ3YUMK8QQENo2hvQmpq3b3hE1Nxgt9tbYYMSioZB35Vs6vaEUiN+oQnzUEIEZLZgiUdhU0xVDrfh4aAyYfzAaMIrH7PlTGESdT3EO5BvWvk8LpQtj6cAUxkdrkArmygsiJFwyLIeIuGXxAcGar+Jqim1sb5TUWKYKqzNOJhpCLioxDmGaj+uvsLo0wRHOt3GRIBHo3HI1Ni9xdI1YgofCGUhMEbc0aljPHaAQU7lBAD3DZvv4WyBVCIUohpXWae1eZlsEIFPDBqO8iXId5HVkxW/APY1PDvHoWbhPo0zfZH/dqZSyoXYapTBNYpzKAdxBnMaYSgz1iFI4SKMAoVwZNKhCq16EmytTjzJVvXMVLkRgg/2N3BIEX5ulRLkH9B+vFMFBfaNpzljqFB9hNJiUl6MCqFl6og+BWEB+R2hYEi+wB0vKyEXvA+TP6UdcjFFNhV9wVrFIHUFnjjDt1HYjmrLZfKNr8A1KQJItCmwkideIUMARiIMVZkjkAJ74SaFchijKwoKWuw74IFn6VQVMwMLbRtkFgseTV8YOS4vQxGp/CirUmdQ7Rfw/7YHhQdiUgQzopqF3s/ehNW+y/CVKaIphuCxoxhoCLhZPdyjn2pbF+IVGGUKQIJD3D0MUMZB/NqwlwYK9YpoAlAekLGD6XOcfKrrMEUUOeAPICsGq61MFZRYxUGxRgBMDXTt2JkCigrUeg6BBCEKtO2QvaQv0Bb4ZgqzFNiqFRzQ6uJoZqKFFyxW/OQpVkDwgyGXbkadBmOECnCKFIEncFLLQiJJ9a+lFZNpCKRwosdhK0udWaOa3NlLToY0kAR81qCNspAKVuoitCnAlZ09aa+vAxGpUCZHPw/SI+ECVNkDE0Rm0/aoqTuZbyfUg5cNt5vqlFwDF2bAcPJAiAszuIMTEdoFGHUKILO4KWKgQcLnQNdML6PGio6OAIccRXl3bR8zJW1+OwkLQ9waPiNYRSZYZIWJ/Ab6TZimPJzMEFJ7/iZ1LnSvGL7V5DSekkxhGIqUvAMrc2Y4T2lfpOljYSRykcgNYoUQaXKWPQJiVSXaNI4PMwCJftwvCg3Q3ZA5us595rrJ8NhI1MXsbKg9GT2U9FAieokJaTBCTNQRqPwkHMLZEcvKi3XtFbmrf8aKC0yNBOkphJFZImCx4xY6CVCeVmeDFQ5glCMIkWgnokorSyPPWE9G6S0ccVbZFBe6SM2TUfK1vczoFNQmgJVqclsqKpxAvpdEmRks2y7DEagEBVDajWo0uALTIQie8j+4DWgQUiSTW1KGYOgmP001Sci6xM8ZCQ7yBiiNE0w4Jfa9gWYRn0iUO6epJsIymVOWPzeuD5tDX3QC5uQ/VeqYX1NeXtYo0yDbB2z01mfULYCFFYh0hiM0JvWidAsUDIdHRR9UNQZqPYWoFRPQ+KM+yJM5QkmumszZER5qCYIUNkUEfWQXwBqlCeCkic8RL8GtoUqkrAos590ml+G8lHrSEtAQllGUsbSlONF7wHn8IX1g4W29YiUoCeYylyrbVU24oSXTmkUXAqIqrPsvL8Fp6lxMShNtQkuhax5wGCgBaJAE4JuvN7U9oUelzhqE5G0CQizUpUCdQbZ5pmfGWtUb2NDSaiLLs7MPJLegJAXxVVLI7LpV3YaJ2i30kUJMmOaupfRaBNQhSBQSZYsrRFclWL7v8Qp6g4Kg1ScKhPclLjWw4BsiThfah6IBAGlTF8g5nEUJqKn8ASv55p00vB4Z2zaM2I9dhPy4sQ7b66MpeAZRZXF7gBTYRahbQESNimcJDyGiZDLaGUJFDmgzYMbQuYzLILt/xokpUpUIx9Fde6DVQkeckFNC3RYVC3bWe5fd3pxVCUiqxJSJx1qHEk8K2e6kY5ywDsF+LwGISZzSWCujKF6ZQmoiCLYpo27l5UtkEJ1D3IcNCQU3kz/vxEl8A7gm8hfg0R+dntsH6SdWJr2hPJF0/+vT1mY1r44FSW4r2zNY065S2YnjSBM8S/jMYc0Jqc0WJTwg8AmaY7UzjlCxUhQIcMFf8uAqjWzqaLmP3noA4/ANHKAXmhbQIXQlCvgAq/hCBWjhSolVL0Hzt2r8XzxTVBFTSU4241TUSKZ4xo05oJEUNqNRddnzhePOLARR1EicjOExzSmxy6fyqLjjK0HBwJI4YgxbJZllfUjVe0iSKMmn02QIlUCXlXCGV7F9AQto1EloMlCv4NC3KXezuku2w+WiPFgK9VzpvhRWcOvmF01FSYSCxM8ZiQM4GXhkY0yVOmIMDUKE5EPb0jDN0QkzCcouolUdHjDS6Qqw+EwgxOf3YDEEEQ2QEGNs6hIskRwctSgYBcmVtqW0cgSWCR4coOGDOZnTz+xLIGACfKJwJqyaeH7qKyjszhNZQnO8NbRnN/AK0kjYfQm241H9E7EUZaIhTZJRwEAXLfCmURvcCJrqAZQjyrEG1nJxvtRQ0STcwdyhMPbfsxIwoSDk5QifxYFj6EywkRIct4D/y5wsKYkxfZSb0mgtYjywIz7xpR1sD3ocSpMsKC7NmPGnorIX4o3vT2XyvalLTUKE5HaISAfhT4UJ6P1O7NIMgacMFaxiygON9Pmoozl/Ik0+8JbwmebMKXSdIiIXSqkGGDJzoQpo0xApqmQzrFnIX44w/3qm4DS0oThflNlglXFtRlxhaorwjJGYXCqR6RSozIR+ZjG0I4mezViyIZPkHXyEAbFm6CA5dkLzyMdcshNXDZ2VCymIKVtgVRDEbZX4dPdbKlmkQKrRI2pgNsYTW3F9q8gpdQFb49/TrUJ1iHXPOYmR5gwn66ZpDce0TkRR2ki6sTdS0kHvFLE89rMAV0+BwIxoEgDAliyM+ejlDX8QJamLpD5jtVggOoaKKjODXoj4ojRppbRaBOyqXuBMVhWrSZMkX10VdoYoX5AduQzph+VtbhpBmoqT3BH75rHLGeSIfZgUoM3+ZRqs3geqTTKE4kEB+jgscoxMpCEGMxhXZYnspSLEmSSIawTVMoaLAjKVEcCgKWcTOFQ26LgAmKLpQKKEEw+lYw8ISqWHGIVWcskqyu2j8i+QSnB+uRMMhd56a05SqWpPMEJ/JqHLP0fCKIAzBwluUxH6BNp1CcSHdnIw5aSSkAFpeMoxdYR5WywNDlHGIzyOFfWglREclESykx8gHShTeU1GvyeEPVkzu0mI1FEOZZSpT4W5Ww9A+XfBJRX2RRr5BdJ3T/BGgUPGYsHKMXhiDULs8q2vIDUqFEkyt+TtCpIKxg8imlAnSVunECt2YmngjxYmU3PE511AJmT89Vw2T2YM/CBoUrS4YTKSDTSbAoWqiQnBqp0UJsDRCu2fwUqdYtEMidE01SjYGK45jGXQTAO0odsN1U4wv2NGkUijQICgtwmIepQMvn5LJFEgeCAxAv5CbxgNHuKegjA+iGgC10srDwttK2cbuwuSyceivdmUxmJAmu2S3ufFzpsJAq2fwUpfSlEM5tqKlGwfLLmMSdIbUh5UIEx1yhcKtsXyF+aXCphz2ugvAcdHZUmcx5rZqyFI0rDsvQFcho4T3RbRB2OOogCZYLJQtsKVFFS+1Jsh0tKFqkqfcRCsJBXs+7H9q8gpQ53mNMdaSpQZHOzBI24i3uCfl1A1cyWSkd4v1GgSCRQSJVaqpNyE4Q3rehsLZqr3PwRME3mXMU80VkHgCrXeoD6GYlCmw44ZTnv3gL7jGXKz+EE9gFJBeGSU+oV27+Ck1IogrlfIk0VCnY560THVFCOraIiRJAzs6PyEYRiVChS4XRKbr9AbHYQfXoxSNHxDtBtOX3Z5ZiV6RlTxiEMp2tAEJJ4bhOmikZK3FmTbrRgzyEmo1DA40W57UjKNOZk0ortkUQhEU3w1oiwpr9Pv0nxxvlNFQquhK55zAj3kLB7RyJhRL90xPmONCoUiTSHjlqHG44WdnNWcEbGEkpQFUJscN6eFpwnuoABRfY0JDMo3xqkSKKQXmgUC+T4J6t+ySgUqMaj5olippxJrcb3kT305y76fCtSWDFAkUJhbtWZShS8KNY85OHMiZerh0wfpjJ9ocUljQpF0tk7SqyomvuKaGLi8izxGQmJUFnukMioI7I+oaylsVK6xoIo2NkcwkmkTyBXlONP2FT2EE4y+oScGJEuX0TWYq69WrG91LGgezW5SMZcjvZRWZvegYs0lSe4brNO1AGCclB9lLoTh85LZfsSTqM+kUhykMNGmHU5UlNYcZglnemDyhc5+oK4gPzUOD46qyGdDXLBGyYzmVRqaosiAYReObyHXComc0mVkSfAPQFrA/WHTmgvqWJ5Qg6ugKnI0fESzX7Sl08w279IU3mCJ3/NY87JO+k+luyU759IR3RP5FGeyCxPQD2THrACJ5LMmV62ltMK3oNpYWN1Xn1zZS1NH0iknfRkQOk2l1U5DVVFSVKiJLQ5A1U28gRYRJVcRcQn3lBs/ddA0Tuba0LyVJ1gt7jOdJEG8kt8FYJ4q+xiL5XtC6wvj+pEVnqDnO7pUpOC7uHM7UKzzLdPoLSAoCDlMTl+zTjRWQ0J9KhIgGnZBgpl21EYCdJRCeeOHJZDVDbqRJbTQqg5y1WLnrv7V2yfpHWqyx1+cjEXF6b0WxfTL5vVDZisTuifjiiaSiUmSycGK5eXyvalLTWqE5lurESGKe2yUOWKkWYzaxNdWsq73FrSzD2Hc2UtN4ZBxQX3gd7duRtloWz7GUpjHroQNHpQJs6jcrBAFTd0TyCntp0ubP8KUEoxaOaSkDzVJgprEzzmJCUbZBoRqQDz83yENpFHbSJzb4GIR3KKBZTLsdQ/y3ymA3OD4XppxzS3Kc0zX19ZpHorXR+tG98XNVTRQSVBHi0XzBjfZ8QJidhdnot5yd1AFRkqfD9kD7BQFPPNTX1anLBX9U3FCU4e1zzmUCSKw/Ug4TFQHXGoI4/iRCa5AXUOkF2kL0U6CU2YYnECJQnJNpFyoozHTbOZUnVE1yqXrkCZ43LjQtn2s+G+BpQbUUYxV0kss1EnIH1K1zxCmwP/Z3GW7VEchdOAW3LDcQeGig52MPXLU3mCZ2jNYy7SivAoTjAjvcxH9E/kyd2XnOw30WWjiEn4tzeXX2rzUqQVVpQ5yLPmVFumdgIs4cFb4hs4l1wo20eo5GSj6Pk8xKV550eoIORiu4hQz1DlN0Gl3rpxJ/ZFngoUxdyAyWOGNFHlXJaczGKojmihyKNAkUmgkP4P8CPMUk/m2Mgs0zWYIt8IVcQ/5iqBuTKWq4lBzprcf5Qcdx4slC0KBVUUdHl0MDfWLLPRJ6QfTFrTQoeeZe5ZZHuUepGpFSmTYPEYpJRqYK4YvchTfYJXxZrHjCVRhWPKsU7DKcoRnGLUJzLrE2kQo8WdRBOoqNsiSzc85NMUUG1yJlDRhRIOhL72ob2ct99C2QKoIrfUyWW12FFmSxl9AspjLqLjJ0x/MeSvvgko1QTRkgFqqk8wNVzrMYczaW9FpIoQfEyTcz7iUsw8ChSZr5NAziPRJ8uFm6yHzdhaesDBvuNQw+jOuL9GAbb2LH0pIr0yVOrKh7MEsSdITygclWl2yUaiwJdLYwYyi260oRWbQ0QC/HBHDsXMbJBSpzsKT8FFnkoU3Ku+NiPu4pdFcKvJ3P97xN2YeZQoMl8+Aa8KzhXk+lBortzozOZeTrLLzSvQiKI5iKOsh+uxwRIgt4J/mKvocyeoUGqElZdKOyPVn0EqJdlbcNrmEOqK7V+BSnU2dG821VSk4Bi6NkPuFZkJ9HpT5rvMR1ySWUaNolAGjzCb5Fgh6hLZHBUl44AUSe7GrnE4YUEwFbousstFPU1O43mjzRatUKThHoAkh6mzuXuiGIUCBZfuhXxC0s/MEFbPjDBXKaV4Kadw66x+a/MXFlyUqUbBZYY1j7kIR/dIIeWCBgKqHHH1RBk1iuLtlpKO2BKS3CTJyW+hUx7IY0KRw01y2IAJhTIe2t7kxtHhohZ7sbYWKaTgVavcESPN5gyVESkQK7N0R2GPFKM/rthebsxAbbhIS2PhfOGjsgZFMVdrq7+Kg0UKM+Y0nLxGGmkF2nLEMY8yihSFhAeR6OHQQLulcdQgxTKFdPjJyBEvzY2v80L3MMjNcwjjSWgdJ1RFyxTSOysnQOUUME/9shiZYrj6EfrjcKuIuXmW7V+Bamrd7KaaqhSVVYpCHRQOlLSL4AJ/z6mvsmXh73zy98vcbz5v/32z/3xz93DydfsJP+POwEb2j39FzfD7w+5++B14/8+7w2F3++efvmw319u9/AmJ9qfd7vDnH84fn/vT9vDr/cn95n67/+nmj63cGn2y299s7w7DX+70/vR+tz/sNzcHPAr//Y8dPvi6uL+Ro3dwCr9t94ebq+l/2f94c/3+dL++DsPftvP0F1Z9+D9QSwcIJDMOEaMbAADzagAAUEsDBBQACAgIAOVbMlkAAAAAAAAAAAAAAAAYAAAAeGwvd29ya3NoZWV0cy9zaGVldDIueG1spVfrbupGEH4Vy/8De79EwNEJhISolaqml9/GLGAFe621E3Ly9B1DQtZD1OakyEhez7dz+2bG69G353KXPLnQFL4ap3RA0sRVuV8V1Wac/vnH/MKkSdNm1Srb+cqN0x+uSb9NRnsfHpqtc20C+6tmnG7btr4cDpt868qsGfjaVSBZ+1BmLSzDZtjUwWWrw6ZyN2SEqGGZFVV61HAZPqPDr9dF7mY+fyxd1R6VBLfLWvC+2RZ186btefUpfauQ7SHSN38iF2dHyUkfFWf6yiIPvvHrdpD78tW18yjt0PbiLPPPOFZm4eGxvgDFNQS3LHZF++PgY5qU+eViU/mQLXfABziW5clzgIvBn0cOZ/n/cDnLT5rC19RQAdQ8FV1hvatiX9QlT7rYuzL+RWXqpIynk2S0KqCYulUS3HqcfqfpEJ4e8H8Vbt9M3u+Tru6X3j90i8VqnEK7vHhf3udZRwYlsG62fn8TitUvReWgMWiatNny3u1c3jrYsc52jQMLo2Fk4dXc/FABv4Vk5dbZ46793e9vXbHZtqBGdq25zBo39bu/i1W77cx1eo7lmrXZZBT8Pgmdycko726+d8bHaQPrpwkZDZ/Aav4qu4pltC+bxjLWl81iGe/LrmOZ6MvmsUz2ZTexTPVlt7FM92WLWGb6srtYZk+yIeTolCh2ShQ7gKsD+IIMlFREMGElFwYulDkE5loKprm1ghNhUNjTGEzFgDMtiVZSGCYtymwMZWpgOKeaSsIY0ygp1zGUDMjhR41UjBhqpeXSolTNz3ZozaTkRlIqjMSExGguJaqdWxbXDvJtgSK2yggKlsAtTFEP+TFF/EQRR1lXhMJPKoiZIPevEJYxogSllnJuOUNFO43B0GZCAkPSGCOIRX0x60HVgGqiNIMCMUARYoifMUQVZUYyIwQ3ViHVc4SnVnOmtKZMQaSoB29isNGo5G553DHIzgJHq6XhVCjV0YTo4f9NjzjRIxA9lEkqrZJQ6xw3EMJSZiEr3BChIUEIPI3BVA8UkdoCQ0wziypvJvr0EAMxEUX1Watdiw/YMYRAoSqgXTDkxFz8DDs9N6AZET0ipgftXaBopeJSadJlR6IKu4uh7GN65IkeibuHMwqcS5haVCAnrhCYQpVzrWCyQB8b/K6IwdQOGIV5ITizXOBOm8l+7RlumbLEwsziuH3kOUHQNEJRIoiwZ0mdy58hKAZzjcfSrYwJQoYWKFwOSRHUaCMkHgF3PTMfE6ROBKk45xR6AoaKhKKESYGnm+rTA8woxg0TMM+JRpU+jcGUDhRkw1joeHLG5Ez16eHcKJgL0gBDKIPX6oweBm8/RpjsNoDviB6EByCzcJoFTtmZyzcxGN6riB0Vs4NG1gJFq6WFcyiMIqIJIvJO/ct0G0aHqjrbuF+zsCmqJtm5NeyBlKdJOJ7LDvetrw93QPjSt60v31ZbOHi60K1glq69b98Ww6Pee9c+1kmd1S7cFy9wgrRp4kMB3zaHT5pxWvvQhqxoQRU8f/Eg2M3qAt6L3VETvtvaIo+fhMsCzphhsWKHI+bpM23yD1BLBwgSbd0sjQQAAOkNAABQSwECFwMUAAgICADlWzJZYOzbteoAAABLAgAACwAAAAAAAAAAAAAAtIEAAAAAX3JlbHMvLnJlbHNQSwECFwMUAAgICADlWzJZrwurI3MBAAB6BgAAEwAAAAAAAAAAAAAAtIEjAQAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQIXAxQACAgIAOVbMlmwPRX5rQAAABwBAAAQAAAAAAAAAAAAAAC0gdcCAABkb2NQcm9wcy9hcHAueG1sUEsBAhcDFAAICAgA5VsyWbpDqL4aAQAAMAIAABEAAAAAAAAAAAAAALSBwgMAAGRvY1Byb3BzL2NvcmUueG1sUEsBAhcDFAAICAgA5VsyWUv6bMLtAAAARQMAABoAAAAAAAAAAAAAALSBGwUAAHhsL19yZWxzL3dvcmtib29rLnhtbC5yZWxzUEsBAhcDFAAICAgA5VsyWa2xXSg3AQAAlBEAACcAAAAAAAAAAAAAALSBUAYAAHhsL3ByaW50ZXJTZXR0aW5ncy9wcmludGVyU2V0dGluZ3MxLmJpblBLAQIXAxQACAgIAOVbMlmtsV0oNwEAAJQRAAAnAAAAAAAAAAAAAAC0gdwHAAB4bC9wcmludGVyU2V0dGluZ3MvcHJpbnRlclNldHRpbmdzMi5iaW5QSwECFwMUAAgICADlWzJZ3YevTIwFAADpFAAAFAAAAAAAAAAAAAAAtIFoCQAAeGwvc2hhcmVkU3RyaW5ncy54bWxQSwECFwMUAAgICADlWzJZHeeODdABAABnBAAADQAAAAAAAAAAAAAAtIE2DwAAeGwvc3R5bGVzLnhtbFBLAQIXAxQACAgIAOVbMlmMmA8FUQUAAKMbAAATAAAAAAAAAAAAAAC0gUERAAB4bC90aGVtZS90aGVtZTEueG1sUEsBAhcDFAAICAgA5VsyWc2YabKdAQAACAQAAA8AAAAAAAAAAAAAALSB0xYAAHhsL3dvcmtib29rLnhtbFBLAQIXAxQACAgIAOVbMll3R1jw3wAAAGQCAAAjAAAAAAAAAAAAAAC0ga0YAAB4bC93b3Jrc2hlZXRzL19yZWxzL3NoZWV0MS54bWwucmVsc1BLAQIXAxQACAgIAOVbMlnHEiSy3wAAAGQCAAAjAAAAAAAAAAAAAAC0gd0ZAAB4bC93b3Jrc2hlZXRzL19yZWxzL3NoZWV0Mi54bWwucmVsc1BLAQIXAxQACAgIAOVbMlkkMw4RoxsAAPNqAAAYAAAAAAAAAAAAAAC0gQ0bAAB4bC93b3Jrc2hlZXRzL3NoZWV0MS54bWxQSwECFwMUAAgICADlWzJZEm3dLI0EAADpDQAAGAAAAAAAAAAAAAAAtIH2NgAAeGwvd29ya3NoZWV0cy9zaGVldDIueG1sUEsFBgAAAAAPAA8AEgQAAMk7AAAAAA==" download="limma_topTables.xlsx" class="embedded-file">
-       <button>Download limma_topTables.xlsx</button></a></td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">Enrichr clustered genes
-           :</td><td><a href="data:application/zip;base64,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" download="Enrichr_clustered_genes.zip" class="embedded-file">
-       <button>Download Enrichr_clustered_genes.zip</button></a></td></tr>
-<tr><td style="text-align: right;
-           color:blue; padding-right: 5px;">Enrichr background  
-           :</td><td><a href="data:text/plain;base64,LOC113838844
WDR83OS
CUBN
DYNLT1
OSTC
UNC5CL
CFL1
LOC100752202
LOC100755162
LOC100768921
CACNA1E
PSME4
IQCM
ARHGAP36
LOC113833947
KCNK16
FABP2
NMNAT1
GNA11
NDUFV1
LHB
LOC100763623
AMIGO1
PSMA2
SALL3
ITIH1
PRMT1
CDH13
CCDC125
BAALC
SMG6
SMIM27
UBE2S
PRKD3
SYNJ2BP
FCER1G
COASY
LOC100757425
LIX1
FAM234A
SLC22A15
FKBP2
ACP5
LOC113833534
FRMD3
THOC3
AKAP5
CCDC22
LOC100763181
SYTL5
ARL5B
LOC100769148
RABGGTA
RBMS1
MRPS30
LOC100751495
UPF1
RPS25
CSRNP1
CCDC102A
NPBWR2
CCDC47
CCDC9B
PMEPA1
DFFB
ARMC3
THUMPD3
PRKAB2
CMPK1
LOC100768666
FRMD5
CDKN1C
FABP3
LOC118237601
ASB3
GOSR1
LOC100752194
SNX29
CERT1
SLC25A26
TEPSIN
DNAJC15
ECHS1
LOC100752994
SCN8A
LOC103162651
RC3H1
SLC22A23
SORBS1
KCNJ12
LOC113831124
IQCB1
PKD1L3
CXCL11
NEK5
DNAJB5
LOC100772178
MED12L
LOC113832893
NUGGC
PLEKHA3
SAMD12
TNP1
C7H17ORF67
INCA1
WDSUB1
CDKL1
HDDC3
LOC100750593
SH2D6
DHX40
C4H3ORF86
FNTB
PTDSS2
LOC100767596
VRK1
SERINC1
LPAR6
SCEL
LOC100770826
ZCCHC17
LPAR1
MCUB
XCR1
MAX
NDUFA7
FAM210A
GLT8D2
CCDC146
LOC100770593
ARSA
ZBTB16
SBNO1
ABCC4
TRAPPC2L
LOC100771607
FUCA2
LOC100773132
SNX19
EMC3
SLC25A32
SOX4
LOC100770294
FMO2
CGREF1
LOC100773119
CLK4
SEMA6D
KCTD18
GAA
HSCB
CSF1
LOC100761045
FKBP11
ATP1B3
TMPRSS2
CHODL
FEN1
AMZ2
SCRT2
SOCS3
ATG2B
CRAMP1
SLC5A6
PITPNA
SPATA6
LOC100774651
FRS2
ZSCAN30
DPM3
SCARA3
KRT80
PRSS54
CCNQ
S1PR2
ZC2HC1C
SAMD8
LIMD2
PCNP
ATF6B
LOC113837420
LMCD1
CCDC158
GABRA1
BHLHE40
LOC113834498
MARCO
MIS18A
CMIP
CRYBA4
SPMIP9
CCDC148
LOC100752741
PCARE
MOAP1
AKNA
LOC100766318
CFI
SAMD15
FSCB
CPB2
MTA1
LOC100764353
RARA
NDUFA9
MEA1
ARL6IP4
RAD51C
SLC25A1
CRYBB2
VPS51
ELFN2
CCDC97
ATP8B4
LOC100757839
LOC100756615
LOC100758446
PIANP
PPARD
LOC100761519
BTBD17
PATE2
HPS5
CRB3
LOC100754902
LOC118238591
RIGI
LZIC
GTF2H4
CCDC179
LOC100757463
ARHGEF39
LOC100753205
MARCHF1
DPH1
CUNH9ORF40
CCDC87
TARS3
CHM
LOC103160199
SLC35E1
PAQR3
MAP1A
LOC100762413
CCDC187
CCDC92
FASLG
LOC100765350
LOC100765797
HPS3
LOC103160046
C7H1ORF146
CUNH22ORF15
LOC113833716
CLCN7
ADRB3
LOC113837299
COMMD7
ZGPAT
LRRC75A
PDE10A
MARK3
BTBD1
DUSP2
MAPRE1
PATE4
KCNC3
TIMM8A
NEK11
CERS2
SSRP1
IL22RA1
MICU2
ASNS
INO80
LOC103161710
EIF2AK1
KLHDC3
DNAJC9
EIF2B4
SLC44A3
TMA16
LOC113836173
CAPN2
RPAP2
CD27
TRPC2
LOC100773095
LOC100772766
AWAT1
CCNA1
LOC100758417
CDC42EP2
C2H2ORF69
ARAP3
ATXN1
KCTD6
MFSD4A
THAP7
KCNRG
LOC100770451
SLC16A12
LOC100769756
ITGB3BP
INIP
ANXA2
LOC100773725
COPS2
LOC100752205
ST6GALNAC5
LRRC8C
CXHXORF58
SNX17
SLC15A1
RPS10
CNR2
SLC11A1
ISLR
HS6ST1
UTP20
ATL1
TAFA1
LIMS2
ATP1A2
THAP6
ZSWIM5
JMY
ALDH6A1
CHRM4
CHGA
SEPSECS
CIAO1
ARHGEF11
LOC100760372
CACNG2
CPT1B
RBPMS2
PDCD5
TNFSF10
ATP5PD
ZFC3H1
LOC100752983
STC1
SETD6
C8G
RECQL4
LOC100757493
COPS4
LOC103164479
DENND4A
LOC100757183
LOC103158870
LOC100768959
PAQR4
EIF3I
ECSIT
LOC100772381
LOC100773010
IRAK4
SNX33
PACRGL
NT5C3A
PON2
KIF4A
CSGALNACT2
UBA6
LOC107977028
KSR1
ABHD14B
SAMD9L
LRRC30
ANGPTL2
IRS2
TMC2
STK32C
STIM1
PINK1
MNX1
FAM89A
TRIM24
CLASP1
TMEFF1
FLNC
CCNT2
DEPDC1B
CD276
ATP10D
SCGB1A1
RNASEH2C
TRPM2
LOC100752390
LOC100764131
THAP5
LOC100771264
LOC100769259
TAF1B
USP35
COPZ1
ABHD3
CAPZA1
STK32B
PDXDC1
SPAG9
SSNA1
CALHM2
PTGER4
CDCP1
SLC5A2
LOC113837791
ETFBKMT
CARMIL3
PDE4A
LOC100766662
ASPRV1
LOC113836417
IARS1
ABCB7
UTP18
ALDH3B2
C3H9ORF85
LOC100770662
PLXNA3
METRN
LOC100774248
COMMD9
SUB1
STOM
CDC14A
LYPD5
CNGB1
HERC3
LOC100759996
MFSD3
CCDC9
PLCB3
PDS5A
RERGL
SAV1
PRRG3
ATP2A1
SLC12A3
ATP4B
COTL1
LOC100771487
SSB
FAM184B
LOC100755013
RUFY2
EMC2
MARK4
DCTN2
SMIM6
LOC100753154
SAYSD1
TINAGL1
ANKDD1B
ZKSCAN1
AKAP8
LOC100760395
LIAT1
CHTF18
RPUSD3
IQCJ
ZFAND3
AQR
C2H5ORF34
VPS33B
DLG4
LOC100753257
RRAGA
LOC100762675
CABIN1
USP24
BICDL2
SGPP2
U2SURP
FRRS1L
PLEKHO2
BIRC7
SNRNP40
HM13
CTDSPL
SPOCK3
LOC107977671
TRIR
BIRC6
SERP1
SMCP
CEP112
ADGRF2
GRID2
SS18L2
FRYL
LOC100767016
SCAPER
SAFB
ACP4
DPCD
LOC100750526
RETSAT
C5H2ORF76
WDFY4
LOC100753971
CALHM1
MRPS16
ITGA10
NAA20
COL22A1
SMYD3
LOC100772850
COPS3
BTRC
KLHDC10
HPN
LOC118239902
RAD9A
CCDC163
B9D1
ATG3
TRPM5
FRMPD3
CCL24
TAFA2
GOLGA5
LOC103158914
IZUMO2
GJA5
TPCN2
LOC113837422
LOC100689444
CDCA7L
CAMK2B
SSH3
SLC35C1
AMBRA1
LNPEP
ANKRD50
PLSCR1
PIPOX
C1H6ORF141
SNX25
DNAAF6
CD14
SHCBP1
CLIC5
PRXL2C
LYRM9
CSF3
OGFOD3
SSU72
LRRC72
NANOS2
ATP1B2
INTS2
MS4A15
CGAS
PRRG4
FSBP
PKIG
CHMP1B
LOC100770821
PDE9A
LOC100763560
ADD2
TAF4
NIPAL1
LOC100771838
AACS
SPATA31G1
ODAM
NAIF1
PLCE1
SMIM1
LOC100768685
PDZRN3
KIFC1
SP2
MESD
SORCS1
PHYHD1
CHRNB2
SCAMP3
AP4B1
SSR1
FKBP6
LOC100765374
CPNE2
INKA2
RPS18
LOC100772139
DERPC
LOC100761590
COL6A2
RPS8
GAREM1
CNOT7
LOC100754108
JCAD
TRIM26
LOC100761464
KIF5C
DNAJC28
SESN1
CDIP1
CLYBL
GNB4
SLCO1C1
ZBTB7C
CUNH6ORF163
CEP170
SGF29
KCNH4
SP1
DCAKD
DDX18
LOC100763310
INTS12
ORAI1
SLC25A34
SMARCAL1
OAT
DHH
LOC100752491
ARHGAP42
RPS2
CDC26
FAM72A
DNAH7
ADGRV1
WASHC3
LOC113839059
LGR4
HSPA5
RUVBL1
HCN3
FNDC11
ISG20L2
RIMKLB
LONRF3
LOC100753968
LOC100761465
PNPLA3
LOC100772014
ABCB6
LARS2
LOC100771953
SHLD1
CIMAP3
UBIAD1
CPED1
ZCWPW1
ABCA2
BORA
PIK3C2A
POLD1
VSIG2
CCRL2
GORASP1
TINAG
ROCK1
SMC5
TNFRSF19
LOC100767269
LYN
ANAPC4
GOLGA2
LOC100766798
PFDN5
CEP63
SMIM17
HSPA14
LOC107977048
PMPCB
SNAPC4
LOC113839366
MYL6B
LOC100769705
STX11
PROS1
CLEC9A
TRIM67
SLC38A6
GUCA2B
CD48
ZCCHC7
FIBP
LOC100750541
LOC118238506
ECT2
PSMC1
LOC100759112
CTSF
CCDC181
LACC1
CCDC51
HARS1
ORC3
PLEKHH1
CDIN1
RFC1
KCND2
ZMYM2
LRRC1
ABCB1
ATG13
ARL8B
CBLIF
JARID2
DAGLA
CIMAP1B
SARM1
CDCA8
LOC100756984
GP1BA
LOC100753261
PCOLCE
CHID1
CUNH2ORF49
TVP23A
LOC103158800
LOC100767636
ARID3A
STRN
RXRB
COL6A3
TNFAIP3
RALGAPB
HYCC2
MLST8
LOC100772796
CCER1
ODAD1
SNAP47
CHRM5
REDIC1
DUSP29
ANO8
LOC100755926
S100G
SPIRE1
CCSAP
NBL1
LOC100769555
WWP1
GOLGB1
HEXIM2
FDX1
CAMP
LRRC20
FBXL8
LOC100772545
GPR176
LOC100758308
RCSD1
LOC118239701
MPC2
STAMBP
DCAF4
HAUS2
AP1S2
LOC100756881
SDHAF1
KANK1
PAICS
PSMG4
TM4SF5
CASP3
CBFA2T2
FXYD2
RNGTT
CNNM1
RPS6KA4
SIL1
LOC100759869
PFDN1
THOC6
NR4A2
LOC103162169
TUBB1
ANKDD1A
SCNN1B
PPP6C
PHETA1
LOC100774620
GNAZ
SMPX
ZRANB1
PEX5
ACAD8
ACSL4
DYNC1I1
SDR9C7
MSMP
LRRC7
LYPD2
IQGAP1
CEP70
LOC100766827
CUNH15ORF62
LENG1
ECRG4
ANO4
CIB4
CFAP97D1
GPR151
KHNYN
ATG2A
PAG1
BCOR
SIPA1
CHRNB3
ZCCHC10
CUTA
LOC100773073
PLCD4
KBTBD8
ATP6V1B1
GNPTAB
ANGPT1
ALKBH1
TREM1
ADRA2B
LOC100761082
AGPAT3
SPAG7
VAMP1
NKAIN2
TMC4
LOC100767421
NCAM2
THSD7A
LOC100771784
TUSC2
ADGRL2
CD226
SPON1
LOC100772586
TRIM21
SHROOM1
PROCR
ACTL10
CNPY3
GPATCH2
TXNDC11
ZBTB14
ARL14EP
CHML
DBNDD2
SYT2
ARMCX5
KIRREL3
STK39
NAPA
ADAM2
SUV39H1
SLC35G1
SRPK3
MTRF1L
GPR20
FEM1A
LOC100757088
ZBTB11
TAF1
SERPINA10
LOC100754495
INA
LOC107976971
TRIM58
AMOTL2
CALCR
TRIM27
AGFG2
MAP2K4
TNRC18
UHRF1
WFDC2
COMMD5
DAO
AIMP1
ESRRA
SRA1
SPAST
GCLC
LOC107979996
GPRASP2
FAT1
RCBTB2
CEP126
CCDC17
C1H4ORF46
ATPSCKMT
MRPS6
LOC100760792
CA4
MAN2C1
LOC100771739
ALOXE3
MSANTD7
NUP160
ATP6V1G3
LOC107980076
LOC100758120
PPP1R26
LOC113834537
ARPP21
CUNH8ORF33
GIPC1
PDZD7
C4A
EBAG9
LOC113836892
LOC100774792
PRSS23
LOC113837380
UBB
CCDC60
SLK
NCK2
SLC29A4
ZCCHC8
SVOPL
NEK2
NR2C1
GET1
RGS2
KIDINS220
LOC100771442
ECD
ITFG1
SCN3B
CUNH2ORF92
VPS28
LOC113837367
RFLNA
LOC100771186
SYT3
COMP
EDEM3
PDPR
LOC100759771
TESPA1
ASPHD2
DNAJC5G
LOC113831829
CENPQ
NSFL1C
PKDREJ
TEK
COL15A1
RPS20
SAFB2
STXBP6
LOC100755585
LOC113833074
TAF15
CDC45
SLC12A4
PPIG
ACE3
PAQR5
BUD23
ORC6
SERINC4
TRIM42
CLRN3
LOC100757597
SMC1B
LOC103159976
MST1R
SNRPF
NIT1
EPHA7
LOC100764041
CCN3
LOC100754734
LOC100765022
LOC107977046
SNAI2
MORN1
LOC103158811
ALG11
AKAIN1
ISOC1
SHISA4
IQCA1L
PPP2CB
CSRNP3
PPP1R16B
PLEKHA6
SNRPD1
NUAK1
MOBP
EIF3G
INTS8
ANXA11
NFAM1
PPIB
ATP6V0D1
LOC100770566
HESX1
PERCC1
SNTB2
SKA1
MKNK2
LOC100758673
HADHA
HAPSTR1
NIPAL3
FOSB
LOC100773612
COL19A1
CRTAP
ODF2
CELF5
CYYR1
FERMT1
STOX2
MAN2B2
SERGEF
CFAP97D2
GNB1
EIF3A
DNAJA4
BIRC2
TUBB4B
PHYKPL
M1AP
BCCIP
BCL9L
MYRIP
INTS4
CDC16
WDFY3
LOC100773877
AASDHPPT
LOC100769991
CEP120
LOC103161642
CDK17
LOC100761102
ZGRF1
WNK3
SEL1L
COG7
AGT
ATF7IP2
MYLK2
ACVR1C
LOC100756665
RFESD
CLDN1
PSMD2
MRGPRX2
MYH14
CHST2
NUDC
ZCCHC13
POLE2
SERPINF2
CAPN7
CSPG5
ARHGAP21
MYBPC1
FSCN3
GID4
NICOL1
SHC4
ZRANB3
S100Z
TSKU
USP48
RSF1
CPT2
SFN
JHY
TRDMT1
CLDN16
NR0B1
TRAM2
LOC100750943
CCDC15
F7
TUBA8
LOC113836502
CLDND1
AUH
RIC8B
PAPSS2
FARP2
LOC100756440
LOC100768076
DHRS7B
NCOA1
LOC100762263
LOC103160487
MKNK1
NIBAN1
SLC10A1
LOC100773769
CFP
MBNL3
CCND3
SYNTAXIN
OPLAH
LOC100759233
F2R
SFTPD
A2ML1
LOC113838797
FBXL3
FAM199X
HLCS
LOC100774794
ANKRD34A
LINGO4
ABHD17C
KCNE3
LOC103158822
CPS1
ABCB4
UBE2W
LOC107977561
FAM81B
SUZ12
ATP6V1G2
MPP4
MED14
SUPT6H
REPS1
PDHA1
TOR1A
GPAA1
F9
CDHR3
ARMH1
CRIP3
NFE2
NUMBL
CUNH1ORF232
BTBD2
LSM7
MTA3
GPAM
CCDC137
ACTRT1
FEZ1
MGST3
CAP1
KRT82
LOC103160871
MPIG6B
MBL2
EYA1
SNAP23
LOC113837264
C1H2ORF74
LOC107977738
FBXL4
LOC113833712
LOC100754962
KSR2
AWAT2
LOC100759070
XK
ADGRE5
KCNJ6
LIMD1
MBLAC1
BCAR1
SCRN1
LOC100754563
RABAC1
SMC1A
ARAP2
MARCHF5
NBAS
AMER1
AHCYL1
DSCAML1
PTGES3
FAM151A
CD2AP
RP2
WSB2
GARIN5A
NDC80
IQSEC1
LAMC1
SETDB1
LOC107977423
ANKLE2
LOC113832952
CUNH9ORF57
SEC23B
USF1
PRSS37
CNBD1
FRMD1
PUS3
NECTIN4
MTCH2
CFAP251
LOC100758257
RSRC2
CDKN2C
TNFSF15
PYGM
HS3ST1
PIK3R5
NONO
LOC100761692
DNMT3A
PTPRS
LOC100752137
GPA33
TRIM11
FUZ
SPTBN5
ZNHIT1
CASTOR1
TCEANC2
LOC118239190
LKAAEAR1
SAG
KCNS3
LOC100759219
DLAT
MORN3
DPH2
IBSP
LOC100753528
FNDC10
LOC113837325
CMC2
SEMA4A
CSF3R
MSL3
SDR39U1
TNK2
PAFAH1B3
NDUFAB1
BMT2
NEK7
RPS6KA6
NOCT
SLC6A13
KNDC1
LRFN5
NSG1
PSMG2
SLC7A4
BPIFB1
EFCAB2
FAIM
TLCD5
LOC100764744
CUNH4ORF36
TRAPPC6A
ADGRF5
DCUN1D1
C1H5ORF52
LOC100758542
BTG1
LOC100761654
TRAF1
ND2
CYP2A14
LOC113831992
LOC100767639
CTXND1
GABRG3
RMC1
SUGP2
POU6F1
CCNB3
SHANK2
SEL1L3
CSF2
DMAC2L
AMZ1
PSMD9
MRAP2
NCAPG
NCAN
PLEKHA2
YEATS4
LOC100771426
ACTB
FAM117A
ADCY2
AP4M1
CXHXORF38
CUNH8ORF88
ITGB1BP1
SLA2
GABRD
FILIP1L
DYNLT5
PCP4
MZT1
CCNG1
PIK3R4
IRS1
ACTL7A
TIMMDC1
FAM222A
ADCYAP1
LOC100767340
ARMC8
FHL2
NADSYN1
PITPNM2
SMG1
USP28
LOC100755571
KIN
CDCA3
LOC100762223
PTPDC1
KCNAB3
APIP
CASQ2
AHNAK
CCKBR
SLC25A18
TRPV2
PCP2
CIR1
SLC6A18
NEU3
UNC13A
SSTR2
SEC31A
SMCHD1
SGCB
MTCL3
LOC100756505
KRTCAP2
LOC100750903
TBCK
ACSS3
PLEKHM3
BRK1
TRAF6
CIBAR2
ASAH2
CIMIP6
FADS6
UBAC1
RGS13
RGS6
MED10
VCAN
STK40
NRDE2
PTCHD3
AVEN
CABYR
MZB1
LOC100765833
SPI1
LOC103161573
PLA2G4A
LRRC55
LOC100770560
LOC113835519
AKIRIN1
SHC3
GTF3C5
DIP2A
SYCP2
CTCFL
LOC100772170
MSRB1
PIP4K2A
CCDC127
PLOD3
LOC100754560
RPRD1A
CRNN
CREB3L3
GNG12
CLMP
ORAI2
GABARAPL2
PDIA4
PRKAR1A
ATP6V1F
SIVA1
BCAP31
SLC16A5
LAGE3
PSMB6
GSS
DYRK4
TIAL1
FAM110B
LOC100768957
LOC107977782
MLLT6
SUPV3L1
TRAPPC4
PALM2AKAP2
LOC103158703
TM4SF19
SLC9A7
FAM120C
NCEH1
ST13
EBF1
MOSPD3
CASD1
POLR3B
GRHPR
ST3GAL2
KCMF1
DUSP18
TECPR2
ABI3BP
DYRK3
LOC118238055
NUMB
LOC100760537
QSER1
PTAFR
EFNA5
GPR179
SLC35F3
LOC100762543
AHSA1
CROCC
SCRT1
SMIM13
CPNE3
AAR2
PGAP1
VEPH1
FZD7
ABCA9
SLFNL1
LOC100751755
CHKB
COIL
LOC100763767
AZGP1
SAT1
EVC
SLC25A44
AMIGO3
AFG2B
FAT2
NR1H2
PDE6A
CHRNA5
SOS1
USP12
SEMA5A
CEMIP2
FERMT2
ASB16
LRRC66
MAPKAPK3
SYCE3
LOC100768568
RBBP9
KMT5C
COQ4
MED30
TXNDC17
LOC100763710
TOP6BL
CTTNBP2NL
SUN5
MBOAT1
BTBD18
TRAF3
LOC100773159
LOC100750922
LOC113830676
LRRC46
ANKEF1
CIDEB
SDC2
LSM1
SH2B2
LOC100765635
LOC113837268
FAM219A
RASSF8
TUBD1
FCGRT
NDUFA11
BPIFB3
MACROD1
LOC113837366
LOC103159011
OBSCN
GRAMD2A
FAM3B
LOC103158709
LOC100764017
APTX
LOC100753188
CKAP4
MAPK1IP1L
LOC100760823
CLNK
PPP3CB
SIAE
ADGRG3
TCIM
MPP2
GLOD5
PLAC8
RAD23A
CMAS
IL7R
BHLHA9
SLC6A17
ADAMTS1
VTA1
ANKRD35
CPNE5
CORO2A
SRP9
EHHADH
CCDC169
ATXN1L
SLURP1
TAOK3
LOC100761879
SPATA18
AK8
CARF
ZBTB42
AMOT
RPP38
FBXL16
CD5
MTNAP1
KCNAB2
CUNH20ORF141
KCNE2
LRRIQ1
RASSF2
SDC4
ABHD16A
ICE2
SMURF1
KCTD11
ZSCAN4
UBAP1L
LOC113837201
SHANK1
CCDC8
FGG
SLC25A46
CDS2
LOC100772174
VPS13D
ASPSCR1
F12
ACCSL
BANF1
SH3RF1
LOC100761433
SPATA25
DENND2D
CHD1L
ADAMTS13
HNRNPA2B1
TPRA1
LOC103164287
CNOT9
LOC100759232
PAN2
LRIG1
NFKB1
SYPL1
RPS5
LOC100756430
TYRP1
GIT2
CTDSP2
LOC103159046
JMJD8
FOLR1
LOC100760630
ATP6V1C2
KCNJ13
LOC113834493
GOLGA4
HJV
SPTLC2
BTBD7
LOC100762057
PWP2
C1QTNF1
SERPINA1
ACTR3B
GABRA2
HSD3B7
LOC100774504
CEP83
HTRA2
SERPINB2
CTPS1
PADI2
ZBTB44
LOC100761889
ATAD2B
DLG3
GTF2E2
HOATZ
AGPAT2
ADD1
LOC100773204
CCDC74B
DTHD1
SMIM29
NFYC
BLOC1S4
SMC2
CLVS2
VKORC1
DMAP1
LOC100775082
MARF1
MTRES1
KCNS2
CUNH19ORF38
PDZD9
TOP2A
SEH1L
LOC100757258
AFDN
LOC103163091
SNAPC3
SLC17A7
AKAP9
LOC118237731
SLC40A1
SRGAP3
CDX2
PRELID3B
C2H22ORF23
LOC100758921
GNGT2
LOC100769090
LOC103164309
C2CD5
TICAM1
APOC3
CALR3
USP38
LRPPRC
HOXC4
HSPH1
LOC100765595
CUNH3ORF62
PIF1
SNIP1
KCNJ8
KCTD16
LOC103163790
LOC100769865
POLG
IWS1
SLC39A1
SEPHS2
VSTM4
LOC103158905
ADPRHL1
LOC100752607
LOC100752044
BAHD1
HDDC2
GPSM3
BRPF1
PDP2
FAM185A
IQCA1
CD40
ERLIN1
PLBD2
ATP6V1G1
CPNE9
BMAL2
SAMD1
KMT5B
LOC100765409
PHACTR1
SLAMF9
DDX27
CMYA5
SSR3
RUNDC3B
MMP11
DUSP22
ARL3
SCN1A
LOC100763859
PLEKHM2
ASL
CHAD
STK38L
GNAT3
KCNJ1
POP7
CDC42EP3
AKAP7
CUL5
PSRC1
SEPTIN8
CRYBG3
PNMA1
CHD4
DLG1
USP20
FAM124B
CCHCR1
ZBTB9
LOC100753980
PRPSAP1
COG4
ATP5MF
BCR
GRWD1
MEPCE
P3H4
OASL
ACBD3
ATRX
AJM1
ADAP2
RACK1
CACNA2D4
DEDD
MALL
ZSCAN2
LOC100750822
GIPC2
RASEF
LOC100750882
ZMPSTE24
VWCE
CRACDL
LOC100769089
LOC113831970
LPAR4
FCGR1A
SELENOP
MACROD2
CCL25
LOC103162566
ANLN
ZDHHC11B
FEZ2
DNAAF8
ANKS1B
EFS
EIF2B5
SLC5A5
CSN2
PDCD10
LAMTOR3
LOC103158864
GRAP2
NOC4L
CUNH15ORF40
SACS
ZBTB40
CACNA1H
LRRC51
LOC100762623
ITGB3
LOC118239696
CRYBA1
CDH3
SUPT20H
FUT10
DYNAP
LRATD2
LCMT2
LOC107977745
RWDD2A
CLDN25
WNK1
LPAR2
CHD1
RCOR1
RIPK2
ZBTB26
MYL6
ZBBX
LOC100765989
LOC113832236
LOC100760504
TARS1
DNAJC24
CYFIP2
LOC100767875
LOC100768693
ELMOD3
LOC100754077
BBS12
PDGFC
LRIT3
H1
TUBE1
SCD5
CACNA1S
SPRED3
C4BPA
SBK1
PRKAA2
ZBTB33
USP2
SLC30A4
LOC103160048
CEP68
VMA21
BLOC1S2
TRNT1
CTSC
CAPN1
NUSAP1
NDUFB10
CCDC157
RELT
FAM170B
LOC100765209
VPS36
NAE1
CUNH8ORF34
MCTP1
ADGB
CD22
POU5F2
LOC100766941
PPP1R3B
FAM50B
WAPL
CD24
LOC103161891
SH3D21
ANGPTL5
LCE6A
LPGAT1
SRRD
SRSF12
LOC100766805
CLINT1
GEMIN8
ABCG4
LOC100764614
LOC118239808
CR2
LOC113833663
MOS
SERPINI2
HOXA11
REEP4
NR4A3
DUSP10
LOC100756717
LOC103160845
NCKAP1L
DXO
CRELD2
RASA1
SLC25A28
LOC100757609
TLE3
MRPS25
C3H6ORF62
LOC100754297
USP50
RPS27
PDLIM7
UTP11
BTBD9
NABP1
KPNA7
PPP1R7
CAMK1G
SLC66A1
CFAP410
LEMD3
LOC100773089
LOC113835365
CUNH9ORF152
CAB39
DENND3
FCAR
LOC103158664
ZMIZ2
NPC1L1
LOC100764630
TCEAL7
FAM168B
MAML3
LOC103158960
BRME1
ZBTB43
RPS17
MAST3
PDE4D
CCDC121
SNAPC5
ACOT11
KCNK13
RGL2
GAPT
VAMP8
PKIA
XRCC3
LRCH3
SLC6A12
LOC118239164
MS4A2
ATRN
ORC4
ASB18
SWSAP1
HSPG2
CMTR2
GNG11
KCNH8
PPP1R42
SCARA5
LOC118237732
CACNG6
LOC100762487
CELF1
ABL2
SMAD7
CUNH4ORF50
LOC107977743
ND6
NCKAP5L
C2H5ORF63
SYT11
TAF13
RPTOR
DNAJC27
DSEL
ST7
LOC113835514
LOC113837833
AKR1B1
AADAC
CAV1
DNAJC10
TUBG1
LOC100770851
KHDRBS1
CAV3
SUSD3
ATMIN
SLTM
SMIM33
SNRNP25
SIAH3
SARDH
LTO1
CELF2
GPR143
DHX16
PRSS12
NDUFB3
CTNND2
HSPB2
POP4
RPSA
RP1
REV3L
AGXT2
MGAT1
MST1
IKBKB
SDS
CIMAP2
CMTR1
PIAS1
LOC100768810
SHMT1
PRKAR2B
LOC113831486
NEU4
XPR1
TNFSF11
SLITRK6
AP1B1
PIGV
HILPDA
EVI5
LOC100762167
ALAS2
ZBTB24
MEIG1
CXCL10
VPREB1
HOXC6
LOC100750890
PIERCE2
TRPM7
ATP11C
GNPAT
SOSTDC1
KPNA4
BAIAP2L2
UNC13C
TROAP
DPH5
DLL4
ATP1B1
ARHGEF6
SCN3A
ZBTB3
GUCY2C
SPRED2
POLE4
PLA2G2D
TRIM8
TSHR
CCL27
CYP2A15
SPICE1
HSPA1A
SAMD7
LOC103164338
ASAH1
LOC100761350
C1H14ORF119
ADCY5
ORC2
SRP14
NUBP2
TMEM30A
IL12RB2
LOC118237968
CENPL
CLDN5
LOC100753432
PIWIL4
VPS35L
NACC1
CD274
UBE2U
SMG5
ARL13A
IQCG
CLCC1
CUL4B
ANGPTL6
PINLYP
LOC100755258
CANX
AKAP12
LOC103158534
BAZ2A
LOC100769459
ADGRF1
R3HCC1L
ESS2
FAM131B
MAVS
ARHGEF1
VHL
PTRHD1
USP19
LOC100758909
CEP85L
MFSD1
RNFT2
FRS3
RPS15
CALM1
CCDC28B
DCBLD2
LOC100773904
CHPT1
SLC35B3
TNFRSF21
LOC100756601
PLK1
MCCC1
ARMC7
MRPS10
ABHD15
GPSM1
LOC118238125
DNAJC5
LOC103158972
CHAF1A
ALDH8A1
LOC113839310
ACTR2
ANP32A
LOC103159049
RGSL1
LRRC25
LOC100761061
QARS1
AFAP1L1
MUC21
AZIN1
LOC103158836
LSM6
SLC2A6
LOC100750928
CUNH4ORF17
CCDC115
LOC100771492
OPN1MW
FURIN
CLAUDIN
CCDC85B
ERCC8
LOC113832507
EPHA3
CCDC88B
BTBD19
GET3
FOXA2
PLEKHM1
PCK1
SFTA2
NCKIPSD
SMPDL3A
ELP1
TRMT10C
ATG4A
CCL26
LOC100769554
GPR101
FAM118B
METAP1D
CCDC86
VAMP2
TEKTL1
TAL1
SCAF8
SYVN1
ARID4B
LOC100770124
KRTDAP
NFIA
TMCO3
STARD9
MRPS17
CC2D2A
NLRP12
LOC103163515
MXRA7
LOC118239973
PIGM
DUSP1
ASF1A
CUNH3ORF38
CCT6B
LOC100767769
DCLRE1C
SRPRA
TUBGCP4
STYX
SLC8A3
CNBP
DLGAP4
ARMCX2
SSTR4
LOC113832311
THADA
NCR1
GPR83
LOC100751230
CIDEA
CYGB
DYNC1LI2
HSPA8
CKS1B
CCDC88C
DNAJC6
C1H4ORF3
UBE2D2
FBXL14
PARD6A
GJB2
LOC100758111
SF3A3
LOC100762988
APOH
TRPC1
TICRR
GTSE1
OFD1
SLC18B1
TEX15
TXNRD1
ADHFE1
ADGRB1
ANKRD17
PPP2R5D
CHN2
PFDN2
LRRC47
CABP7
TUBA1C
ACTR10
CTXN2
HSPB7
SPEM3
LOC113837253
LOC100751701
LMTK2
PPP2R2C
SPATA16
SUSD2
ACAP1
SF3B5
LSP1
IGFN1
LOC100772051
CSMD1
LOC100766498
ARHGDIA
SH3GL2
TSKS
EIF2B1
INSYN1
TAL2
PCMTD1
SLC9A2
SLC30A1
CRYGS
LOC100764866
ANKS1A
SLC20A1
GRAMD1A
DPM1
ICE1
SNTA1
CNTROB
SIRT6
CD68
FOXA1
CDK5RAP2
C5AR1
PML
KCTD1
GYS1
STAC2
LOC100764651
ARF1
SSX2IP
ANKRD16
MAK
WDR59
METTL3
MSL1
LOC100754589
CSAD
MS4A3
EVI2A
GCC2
ST7L
SUN1
LOC113835641
PRKCG
SUOX
FAM168A
CCNY
STAG1
TRIM28
LIPC
YJEFN3
LOC100772332
NCBP2
MTSS1
C1QL2
MUC15
BRD8
MSL2
CD3E
AGPS
EIF2S1
DCAF5
UBA7
MYH4
EMC4
SBSPON
KHSRP
CARS1
DNAAF1
LOC100767578
PBDC1
UBE2QL1
AREL1
ODAD4
LOC100761725
LOC100751364
CCDC180
LOC100774159
SF3A2
HPCA
LOC100761487
CHST3
ALG12
THOC5
KCNH2
AKIRIN2
LOC100757240
ADA
SCTR
SNAPC2
CRNKL1
SNORC
NOTUM
PLA2G4C
LOC100770323
WASHC2
LOC100765403
LOC100769898
LOC100756506
ASCL2
SLC2A5
AHSG
MCM3
PRKCA
MCAM
MRPS33
LOC100768057
BCL3
LOC100767271
SF3B3
SERPINA5
ELP4
SLC16A9
EAR11
PIM3
CFAP221
SLC9A9
VGLL1
STRA8
CENPX
USP34
USP49
CAPN8
ZP1
PIK3C2G
LOC118238105
SLC22A17
BRD3OS
LSM14A
PLEKHA7
PPIL4
SYNB
KRT13
RGMA
C1QL1
LAG3
CEACAM19
LOC118239487
CALU
SWAP70
CLIC4
HSPA12B
MAPKAP1
ITGA8
CUNH14ORF180
ARMC10
LOC103158908
SLC12A2
CHAC2
SLC22A11
CSF1R
FAT4
AMMECR1L
SMAD3
CELSR3
CCL20
LOC107977264
ZCWPW2
RCAN1
LOC100751590
PSMA3
FAM83A
TLCD3B
FAM174B
LOC100770363
PPP4R3B
HOMER2
EIF2S2
ADGRG5
AEBP1
MYLK4
SLC30A6
SKIC8
SLC51A
LOC100755523
LIN7A
HSPA4
S100A4
ABTB1
ADGRD1
EIPR1
SPHK2
LOC100766359
NIPBL
PSME2
ACTL6A
PKDCC
LOC100756707
NDUFAF3
TFAP2B
ARMC2
ZFP36L1
BBS2
CUNH9ORF43
GPR160
GNG3
LOC100759362
LOC100753615
MSANTD1
SPCS1
ELOVL2
CAPZA2
SCAMP2
ADSS2
SERAC1
EIF2AK4
TOMM34
SEPTIN5
ELAPOR2
ATG16L2
MANSC4
MZT2B
TOP3A
LOC100750695
MDGA1
CCDC88A
PPP2CA
BORCS5
TM2D1
SLC43A3
SEC14L2
U2AF1
LOC100762447
LOC100760661
CERS3
LOC100750644
RNPS1
ACR
CCDC30
TIGIT
CAMK2G
TRMT61A
CBLL1
ABHD14A
LOC100765471
LOC100761941
LOC100758249
DYNLT4
LEKR1
PSMB10
SUPT16H
CNOT3
NHERF2
GHSR
CCDC142
RCOR3
ACTRT3
CUNH16ORF95
LOC100751776
PWWP3B
LOC100764510
LOC100773966
LOC100753695
TRIM31
LOC113836085
LOC100773242
SLC25A43
SULF2
YJU2B
STX5
ODAD3
LOC100750515
ATF1
ARID2
TSEN34
LOC100767796
NEFH
RPS16
CD96
LOC100773371
CTNNBIP1
ADAM18
LOC100765038
USP54
CREG1
LOC100767691
PPP6R2
PKD1L1
CD82
CTSE
LOC100758511
HOXA6
ZSWIM4
HCFC1
LIN37
CAPNS1
FBXW5
ATP1A4
ADAD2
DUSP11
NAT8L
ACSF3
LOC100772714
TOMM7
LRRC14B
PKN1
LYPD6
MFSD11
LOC113837349
MTARC2
TNFAIP1
TIPRL
CUNH4ORF33
HYKK
ABI1
TXLNA
PPP1R2C
EEF1A2
ATP8B1
LOC113830690
XAB2
SART1
LOC100771508
CXCR5
PABPN1L
LOC100765891
APOF
UBE2O
RBBP5
SYT7
CRB2
APRT
PARD3
SMIM41
LOC113837263
TDRD3
CASQ1
CUNH11ORF68
CDC42EP4
CLSTN1
CLIC1
LOC100751005
LOC103164241
SPAG6
SOCS7
SLC35F6
ZBTB38
LOC107980217
CD8A
ITGA4
KREMEN2
SCRIB
SMPDL3B
LOC100751393
ALDH1B1
MGAT4A
LOC100769794
LRRC3B
WRAP73
FARSB
PLCH2
VPS26A
SLC7A9
KAT2A
SYDE1
LOC100754672
DYDC2
PCSK7
CERS6
KCNF1
LOC100751240
ZNF326
RPS6KL1
RFWD3
NANS
ALPK2
PSMG1
TPM4
LOC113834606
LOC100753155
PIGS
PHLPP1
LOC113839426
CCR3
TRAPPC1
CHRNB1
ERMARD
STXBP5L
FBXL22
TCP1
PARM1
CDC42BPA
ICA1
GGPS1
STOML3
CTSA
APEX1
LOC100754439
CPA5
PTGER2
SLC6A4
GBF1
CXADR
SCGB1C1
PPFIA3
EXOC3L4
LOC100755056
ANXA9
PTPRC
ATOH8
RUSC1
JAKMIP3
LOC100773172
DYNC1LI1
PPP1R9A
BBX
AVPI1
FITM1
SOCS1
LOC100765263
SNX11
RAD21L1
LOC103159024
KCNQ4
LOC100772575
GMPPA
FAM171A1
LOC113834683
EXOC3
NAA10
STRADB
CAPN10
TFCP2
LOC118239900
RSPH6A
GPR19
HDHD2
LOC100753824
HECA
SRD5A1
DOCK11
RAP1GDS1
COL4A2
CCDC70
ABLIM2
ARMT1
LOC103160806
LOC100759184
VANGL1
CD53
CHMP7
SLC4A11
GPS1
KNL1
TRAF7
LOC100768088
AJUBA
MLXIPL
CNTF
LOC103158537
LTA
PRPSAP2
ABCB1B
BLK
SMARCA5
SH2D5
CPEB3
SLC7A11
GNG5
UVRAG
LRAT
CHST13
KIAA1217
CCR4
SMAD5
YWHAG
ACOT9
STON1
THRA
LOC103162738
SYT1
UBE2D4
PPP3R2
NDUFB6
METRNL
LOC103164574
MCU
BCHE
ATP2A2
SLC6A9
TRIM62
SBNO2
LOC100763726
LOC100761868
LOC103161892
ACTN4
CCDC65
ADCY6
MARCHF4
MINDY2
SMCR8
USP42
TRPM4
GJA8
INTS10
SMYD2
LOC100755061
VAT1
APHRODISIN
LOC103160317
SBF2
CEP135
CKS2
MMACHC
LOC113830750
SNF8
MNS1
NR2F6
ATP6V1A
PIK3R6
TRIM59
LOC100751128
ARID1B
ADORA1
EFHC2
PLEKHH2
CFAP300
SEC24B
MEP1B
SLC25A20
PHAX
NRDC
DHX35
C6
EFCC1
HIC2
ADRA1A
AGTR2
LOC113833682
MYL11
LOC113832352
GRIK4
ARL15
LOC100768155
ACSS1
RSRP1
ARGLU1
ADAM28
CCT7
CCT3
PDE6D
PARK7
ADGRB3
GSK3B
FAM53C
LOC103163946
COQ6
PABPC4L
ASIC2
SKOR1
RGS16
LOC100773894
XRCC1
SLC30A10
LOC100771790
LOC100759681
SGO1
FANCI
SKAP2
KATNAL2
PDCD6IP
HCN1
LOC100758500
SATB2
ABCD1
RUFY3
PUS10
LOC100763466
VGLL3
STRIT1
TANC1
DNAI3
MTHFS
LOC100763924
EDARADD
LSAMP
NDUFAF2
CCT4
CHRD
SLC10A4
LOC100766044
SLC25A3
SLC16A13
LOC100758110
CDH11
CDYL
OPA3
LOC100765315
PTEN
CUNH17ORF78
LOC100753299
DNAH10
MVB12A
SFRP4
MED15
LOC100763196
INTS6
PGAP4
ECHDC2
VPS29
CENPI
EVI2B
CLEC12A
CLDN9
SLC35E4
NYAP2
CNP
C4H15ORF39
ARFGAP1
USP10
TNFRSF14
ADORA2A
PFDN6
CCDC182
AKAP8L
POLR3A
ALPL
LOC100755978
ERAP1
PAQR8
LRIT1
RGS18
SPATA3
LOC100755213
RPP25L
SAPCD1
SLC22A16
CLN5
NCMAP
CTSS
BTBD3
GABRQ
LOC100753643
LATS1
IL31RA
DPPA2
SEMA7A
SH2D4A
SEPTIN14
WBP2NL
PWWP2A
LOC100762283
COL13A1
UBR4
QNG1
CKB
ATP5PO
SLC26A9
FAM186B
ARL1
ACOT13
SERPING1
DHRS7C
LOC100769881
ANAPC2
EFEMP1
CCDC90B
FAM135A
SAMD13
UBA2
DENND4B
GGCX
CPA3
CFAP107
GUCA1B
SMIM9
EPHA1
CBLB
DUSP7
MADD
KIF5B
CAPN11
CLCN6
CUNH16ORF46
FGR
ATP2C1
SLC25A23
LOC103161402
NKTR
LOC113831991
LOC113831896
FAM107A
MEDAG
RAD54B
TEP1
SBK2
ASCC3
ATP2B3
INO80B
MLLT10
BCAT2
TUBGCP3
SUN3
PAQR7
VWA8
AGGF1
LOC107980398
MANF
LOC100772078
PLCD1
SLF2
LGSN
KCNN4
LOC100756676
NPRL2
ALX1
PKMYT1
MAST1
SLC15A2
LOC100751397
AXL
PPP1R11
INCENP
CA7
BCAS3
RPS19BP1
ZBTB46
FSHB
PSMD6
AMPD1
CUX1
CATSPER4
FLII
CLSTN2
KLRG1
LOC100760187
CPSF4L
PMS1
LOC103164259
CCDC154
LACTB
RPRM
EIF3L
APLNR
SEZ6L2
ZBTB21
TRIM10
SLC8A2
DMRT1
KCTD17
CDSN
BOC
CUNH8ORF74
DAB2
CASKIN2
G6PC2
GABRR1
LOC100773249
LOC100751350
AMPH
SLC10A6
LRRC28
GTF3C2
MRPS27
PLAAT1
ACTL6B
ZCCHC12
SMG7
CTU1
APOD
ASPHD1
SLC26A1
PRKAA1
SLC11A2
SYNPO
COL1A2
PSME1
TMC3
NPEPL1
SCGB3A1
TDRD1
HMG20B
LIME1
CCDC136
NOS2
IZUMO3
DOCK7
CATIP
DIS3
STN1
SRSF6
BTLA
DEPDC5
SLC35D3
ELOA
LOC107980357
RPP25
CUZD1
LOC100774625
ANP32E
DRAM2
MBOAT2
ADAMTS15
CASKIN1
SLC39A3
LETM1
CREBRF
LOC100769169
FDFT1
KRT14
CCT6A
LOC100752637
SERPINA9
NMS
GHRH
CSMD2
ACTR5
STK4
MLLT3
SMOX
CUL2
HNRNPC
LOC100762701
CARNMT1
TK1
HSF2BP
SCARF2
SPX
CSK
NCOA2
CAMSAP1
LOC100762101
TRIM33
LOC100770526
BCL9
LOC100758394
UNC93A
KYAT3
ASB17
LOC100760212
FUCA1
SLCO3A1
SLC26A2
OSGIN1
SMIM20
SVIL
LOC100766202
WDFY2
LOC100750548
CIMIP3
SPC24
SENP3
LOC113834412
LRRC43
LECT2
SNX27
SMIM7
CYSRT1
ZC3H14
LOC113834161
JMJD1C
RBM11
NUDCD1
INTS14
SOAT2
LOC118238502
LOC100765930
LOC100769978
LSR
RGS7
LOC103159043
RAE1
AGER
SPMIP2
CPA6
ACVRL1
WWC2
GREM2
ZBTB18
LOC100759243
PLA2G2C
WARS2
FADS2
LRRC56
PIGG
MTUS1
LOC100760414
LOC100767530
PRKCSH
MCCC2
PDSS2
PPP4R2
SPINT2
MSANTD3
LOC113831269
GFRA2
STMND1
PSMA8
EAF1
RPS9
SOX6
GEMIN6
PNMA2
FAM117B
CACTIN
LOC107977301
MARCHF11
LOC100751584
ATF6
SECISBP2
TP53
KLRG2
PGRMC2
RHOF
HSPA4L
LRBA
CCSER2
RNASE4
NELL2
FARP1
PPP1R12B
ATG4C
NRCAM
KCNMB1
ZMYM3
VPS9D1
CELSR1
GAB2
MATCAP1
ROMO1
HMGCLL1
RIC8A
SPON2
AMIGO2
LOC103158573
PELP1
SLC19A2
CITED2
EXOC3L2
MARS2
ELP6
CRAT
G0S2
VSTM2A
PLA2R1
CTNNB1
LOC113836166
HSPBAP1
SLC15A4
PRORP
BRSK1
BLOC1S5
DENND10
LOC100755834
SKA2
LOC100751341
CKMT2
SLC25A47
PRKAG3
GEMIN2
FOSL1
MAPDA
FAM149B1
LYRM7
CTSZ
LOC103158896
LRRC18
DENND1C
CLDN8
FSIP1
LOC107978450
LBHD1
LOC100760524
CCBE1
SLC44A5
DOCK9
SOX18
QKI
ARHGDIG
LOC113837663
SNX6
SCAMP1
SH3D19
CD40LG
ASIC4
NR1I2
EEF1A1
NAGS
SERF1A
COL4A3
LOC100751687
CD8B
CSPG4
TNNC1
RB1
TMUB1
SEMG1
AGXT
LOC100752889
MFSD4B
AGA
LOC100766914
ELOVL4
LOC100760245
SURF4
TRIM25
UBLCP1
KCNQ2
GMCL1
AHDC1
SMARCC2
ARHGEF2
CASP14
MLC1
SPMIP5
SH3YL1
PPIL6
SS18
LOC100762108
JPT2
TKFC
EFCAB7
SLC23A2
LOC100772471
FOS
RERE
NASP
VKORC1L1
RPUSD4
ATP6V0C
CD34
LOC113834327
LOC118239516
LOC100768553
COPB1
TCEAL8
CHURC1
TAOK2
BAAT
SLC6A14
LOC100761271
C1GALT1
MAU2
LOC100772212
FIBCD1
BPTF
LOC118237896
LOC113833526
SMCO3
ANKK1
CUNH4ORF19
LOC100764329
GPRC5C
PPP1R2
SUMF1
PLEKHD1
SLC39A5
LOC100765573
CH25H
RIPOR1
LOC100754462
CBLN4
LCORL
TM7SF2
COL28A1
CHCHD7
LOC113839260
NECAB3
GYPC
LOC100765453
CRIP2
LOC100774306
LOC113831988
LOC103164087
LOC100752003
KBTBD4
COX1
MFGE8
AHNAK2
POU1F1
SMIM28
LOC100767241
LOC113834684
CLEC16A
CNTNAP4
WFDC13
LOC100760309
ASS1
ASXL2
CD36
CHST6
GPI
STARD8
STEAP1
RPS3A
LOC100769255
LOC113836187
C3H10ORF143
LOC100755927
TRIM38
TNFAIP8
CADM1
LOC100751331
SLAMF8
SRRM1
NELFA
TEN1
ENDOD1
DDX1
NALF2
LOC100767889
SLC5A7
GNG10
F2
SCLY
OCSTAMP
AP5S1
CDK18
PIGO
RPUSD1
LARGE1
LOC100753788
GPR55
MYH7B
SLC36A4
ADCY7
NAT10
PRKAR2A
ADAM19
ZC3H12B
RC3H2
LOC100759804
CD28
ABRA
SPAG5
LOC107978355
PGAP3
CRHBP
YIF1A
HOMER3
SRCIN1
VCF1
ANKRD24
VPS18
ARHGAP10
CDH18
PGS1
LOC113836272
LOC100765079
ATF5
R3HDM4
DOCK3
NDUFB4
LOC100771114
DRAP1
IL10RA
PRELID3A
CDKAL1
CRLS1
MRPS18A
KAZALD1
ABCA13
PRRC2B
LOC100753974
ADGRA1
GRIK3
RIPK1
BAIAP2
CCDC57
SLC4A10
SEC14L1
WASL
CBS
MCC
CCL16
SPRYD7
LOC100764001
SCN11A
CLDN20
LOC100764581
C1S
DNAJB2
CSF2RB
SLC35A2
LOC100769844
LOC100768110
DPM2
LOC100764874
LOC100764732
ALAD
SLC13A4
LOC100756773
GARIN1A
RIPK4
INO80D
LOC100762270
CD63
EXOC1L
LOC100769665
ASPH
C1GALT1C1L
CHN1
GPKOW
TGFBRAP1
LOC113830645
AMMECR1
SPEM2
ZBTB37
LOC113830832
FAM217A
PTGIS
G6PC1
TLE6
CUNH12ORF57
PAFAH2
CCDC43
LOC100769666
SH3BGRL3
BHMT
SPAG4
PPAT
CASR
DCLRE1A
LOC103159315
LOC100753388
LOC113836822
LRRC59
ARSJ
LOC118237832
PAQR9
COL5A3
LOC113834768
VDAC2
PTCHD4
ZSCAN26
EFNA4
TESK2
LOC100774417
ACTN2
FAM181A
MED13
BICRAL
GKAP1
OTC
ATG4B
LOC100752503
CPLX4
MPPED1
EVA1A
RFX1
SIX4
CDC42
SRSF10
EXOSC5
NWD1
LMX1A
LOC100765442
PSMC5
IL17RA
EMC9
NUP133
PRRC1
LOC100758278
CDC6
RNASE12
LOC103158541
ATP6V1B2
NEK9
OSER1
AQP3
MIA3
LOC100751845
ZNRF4
LOC113834026
LOC100773640
CTSB
SIMC1
LOC113834565
PCLO
LRRC15
LOC100758638
SERTAD4
ANXA10
ITGB6
LOC113836690
LOC100765974
ANKRD53
KCNA3
CHUK
HPS4
SPATA21
GNB5
BOD1L1
RALGAPA1
SOCS5
CUNH1ORF53
SAC3D1
LOC100762217
RGS5
LOC100764999
LOC100765579
BMAL1
REELD1
OTOP1
LOC100761919
NDUFS4
LOC118238052
TCEAL1
VARS1
LOC100765781
PLCZ1
EPHA8
ACHE
TRIM29
TIMM8B
ARPC1B
GFOD2
CALB1
LOC100758812
MFSD6
SLC25A10
CCDC80
CFAP263
SAXO2
MED22
CFAP65
HHAT
CDKN1A
ELP3
KCNA1
KIZ
SEC61B
CFAP54
RPS24
IL13RA1
FAM83H
CUNH17ORF107
SERP2
AQP6
NT5DC2
CCM2
AHCY
EIF3D
ADGRG1
CD177
NDUFS6
KAT14
RGR
GRIK5
FKBP9
RPLP1
PITHD1
ADAM15
SPDYA
FKBP5
RAMP1
SPATS2
ANXA5
DDX31
LOC100754735
PPP1R17
PIKFYVE
MRPS9
LOC118237718
LOC100756957
TACSTD2
CAVIN4
LOC113834034
LOC100772154
LOC100768570
FHIP2A
LOC113830663
NSDHL
RASSF10
ANAPC7
ADCK5
AP2S1
CCDC66
DCTN3
MORC4
SPOCD1
NACC2
CSTF1
PCIF1
ZFAND2B
TASL
VCP
RGS10
SLC51B
IL2RG
LOC113837054
GPR33
LOC118237616
COG2
EPHA4
SLC25A35
POLR3C
WAS
VCF2
SKI
GATAD2A
ELOC
SLIT3
CIPC
LOC100765800
HUWE1
MCM4
PCMTD2
TXNDC16
IFNAR1
SEPTIN10
APOB
SND1
LOC100689011
LOC100772755
CDK5RAP1
NYNRIN
LDHB
AP1S1
DOCK2
LOC100751171
DAPL1
AGBL3
MINDY4B
FAM170A
SUSD6
NECAB2
CHCHD5
MPHOSPH10
SOX2
CSR1
PMS2
MAGEB2
PRSS42P
SLIRP
LOC118239886
LOC100759913
ZCRB1
FUNDC1
POLR2H
CCDC13
RGS7BP
CAAP1
LOC100756511
CPZ
TAOK1
FAM163B
LOC100750625
SGTB
MBOAT4
NCF4
TRIAP1
ADAMTS4
SLC9B1
PPP1R12C
AIRIM
LOC103163660
CERCAM
LOC118239059
CRYL1
FAM229B
CREM
ST8SIA4
CCDC117
FAM81A
USH1C
ATG16L1
GRIN2B
NR2C2AP
TP53RK
EPG5
LOC100753190
ASGR2
DISC1
LOC100751184
AIRE
ATP7B
STMN3
LOC103159087
MRGPRG
CD74
CPPED1
LOC100762740
LOC100764460
RGS22
SP4
CFAP43
FAM167A
DRC7
PRPF31
TSTD1
NCAPD2
SLC26A7
AIFM1
SLC4A3
LOC103158910
ATP6V1D
SELENOO
HOXC5
LOC100767292
ICAM5
PDE8A
PDZD2
ILKAP
APH1B
CTNNBL1
LCP1
CHD8
ZBTB5
POLR1A
SNX30
SMC3
ALKBH2
BCAT1
SPCS2
THEMIS
SH2B3
CD38
SDC1
BATF2
LOC103160404
PDZRN4
RARRES2
SIM2
FKBP4
COPS5
VWDE
ARRB1
TBCA
HSP90B1
LOC100764102
DNAI4
GNB3
SIDT1
POLA2
PPIP5K1
BOD1
CLK2
GDPD3
SH2D1A
CCL5
CDNF
LOC113836423
HSF5
LOC113831162
LOC118237983
AMH
CYP2A17
N6AMT1
CRACD
APLN
BAHCC1
KEAP1
LOC100764983
POLR2C
SI
LIN28A
CWH43
CAMKK1
SLC38A11
RBIS
EAF2
TRAP1
LOC100766854
BEND7
LOC100768405
ATE1
CUNH10ORF53
SRSF11
RSAD2
LPP
LARS1
SELE
ABCB11
LOC103161518
APELA
CD248
MUC13
LRRD1
SRL
MYH9
SEC61A2
CXCL1
TNFRSF17
POLD2
LOC100757371
SERF2
NTPCR
TATDN2
LOC118239365
ODAPH
ANKRD22
KCNV2
WFIKKN2
BTG4
DSN1
DNAL4
CKAP5
SH3GLB2
LOC113839036
ARL14
SLC2A10
COLGALT1
GAPDHS
LOC113830746
VPS26B
LOC100759078
APOO
AFG1L
NUTM1
LOC100752553
LOC100756470
USP46
OTOP2
SNX3
RABGGTB
CUNH16ORF82
PRKCH
ECHDC3
SMURF2
SLC26A8
HSD11B1
SLC25A17
PNCK
CUNH12ORF56
CFAP184
MAMDC2
HEATR6
GAPVD1
ZMYM1
LOC118238929
SAP30L
LOC113839213
STIL
TRPC4
SCRN2
GFAP
SOX7
KIFAP3
LOC103162643
PALB2
RFC5
MRGPRE
CLEC14A
PPP1R3A
ITGB7
LOC100753014
ICA1L
CBX4
ARHGAP29
ANKRD44
GUCA1A
RAPH1
SPTAN1
CDC42BPG
LOC103162476
SOHLH1
ABHD4
MCUR1
SLC23A3
MAEA
NR3C2
HNF4A
HCAR2
CUNH4ORF54
CLPP
MS4A7
SFRP5
LOC100771360
KLHDC7A
SETD1B
CCL22
AP3M2
CD99
CRY1
LRCOL1
NUS1
HAPLN1
SPC25
FUT7
DDX59
GABARAP
CIROP
SH3BP4
ARL2
PTCRA
LOC100767606
ETS1
SCP2D1
SPATA20
LRRC4B
CELSR2
PHACTR2
NCOR2
ZHX3
CFAP44
SLC30A2
CHAC1
FASTK
NOD1
HEATR4
UHRF2
ANGPTL8
ZFAND4
BZW1
LOC100763017
RHOC
CRYBG1
CACNA2D2
BRF2
LOC113835262
CSGALNACT1
SLC4A9
ATP6AP2
LOC100767260
SREK1IP1
LOC100758294
LOC100753692
WEE1
FAM169A
NCAPH
LOC100752606
TRIP10
WRN
KNSTRN
NR2F2
LRRC8E
PPP6R1
TNFRSF12A
TLDC2
LOC100770794
PTK2
CLK3
CLDN7
WHAMM
ERGIC3
COX3
NDUFAF1
ATP5ME
SAMD10
LOC100758036
LASP1
PPP1R36
CTBP2
INKA1
ATG10
RUVBL2
SDHB
TXNDC15
VPS26C
LOC100768787
LOC100765316
LVRN
FAM133B
FAM216B
LOC100758807
ARHGEF28
CCS
RGS9
STX8
NFE2L1
DCTN4
CALML3
DYNLL2
ENSA
ALG2
CLDN10
CCKAR
MTCP1
LOC103163017
LRRC8D
DPPA4
DMRT2
CHRM2
FAM222B
LOC103158595
LOC100765023
LOC118239874
LOC100753259
LOC100767149
LOC100758790
UIMC1
FAM240A
ADCK2
MAD1L1
AK3
MYH10
SERPINB11
CTC1
CALY
CTXN1
ARFGEF3
DCXR
OXSR1
AGBL5
SP7
NKAIN3
LOC100769405
PRIM2
LOC100755143
DARS2
CUTC
LOC113836819
CCNT1
ALDH5A1
DDX3X
CR1L
ATP6V1C1
RWDD2B
ARHGAP45
CSRP2
UBE2E3
CD109
MBNL1
RXRA
SLC25A19
LOC100771024
PACSIN2
CFAP20
LHFPL7
LOC100763051
CA1
CAPN12
C2CD2L
LOC100764948
LITAFD
UNC5C
LOC100760892
ZFAND6
GNAT1
EIF3H
LAX1
LOC100758339
IL1RAPL1
SLC5A1
EXOC1
PPTC7
FAM187A
SPHKAP
VWC2L
PER2
STON2
GAS7
MEAF6
DOCK5
ADAMTSL5
NIPAL2
ANKRD13A
GSTZ1
SCGB3A2
MUC20
LOC113836808
APOM
ANO2
LOC103160479
ZSWIM3
MYH15
CPT1A
LOC100769507
PDIA5
SAMD11
COPE
CHST10
LOC100759871
LOC100756057
LOC100752794
DYNC1I2
CRACR2A
AGTRAP
ARHGAP40
MYL1
CDADC1
SLC25A14
ITPRID1
LOC100771923
SCARF1
LOC107977701
IDH3G
FGD5
NAPSA
SGK2
PPIA
LOC100757615
LIAS
ATP6V0A2
TRIM47
ABCE1
MFSD10
DDX54
SNW1
PSMD10
LOC100754835
DET1
LOC100756508
FSHR
GPR52
SASH3
SRP68
LOC100758686
LOC100764122
LOC100760208
KRT84
ICOSLG
ATP12A
MCF2L
SLC2A9
LOC100764507
CARM1
NAT2
LOC100756412
LOC100774343
PIGK
CDH16
ACP6
LOC100753100
MAGOHB
AKR1E2
LOC100773868
VPS13C
EIF2S3
GNAO1
TSN
MAT2A
PID1
CLCN5
ITGA2B
ANKH
LOC100767791
PNN
LOC100754157
CXCR4
ATOSA
YWHAH
IRAK2
NHLRC1
ECEL1
COQ5
LOC100769060
GPR139
GASK1A
LCLAT1
LOC100770800
LOC100760728
CORIN
ACTR3
MFHAS1" download="Enrichr_background.txt" class="embedded-file">
-       <button>Download Enrichr_background.txt</button></a></td></tr>
-</table>
-<hr style='border: none; height: 3px; background-color:
-  #333; margin: 40px 0;'><div id='toc' style='text-align: center; display: block; margin:
-  auto; width: 80%;'><h2 style='font-size: 60px;'>Table of Contents</h2><ul style='display: inline-block; text-align: left;'>
-<li style='font-size: 40px;'><a href='#section1'>Exponential</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section2'>Overall Clustering</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section6'>Min-max normalized individual and mean splines</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section8'>Z-Score of log2 Value Heatmap</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section10'>Individual Significant Features (Hits) Splines</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section11'>Cluster 1  | Hits: 21</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section13'>Cluster 2  | Hits: 8</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section15'>Cluster 3  | Hits: 8</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section17'>Cluster 4  | Hits: 16</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section19'>Cluster 5  | Hits: 4</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section21'>Cluster 6  | Hits: 4</a></li>
-<li style='font-size: 40px;'><a href='#section22'>Stationary</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section23'>Overall Clustering</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section27'>Min-max normalized individual and mean splines</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section29'>Z-Score of log2 Value Heatmap</a></li>
-<li style='margin-left: 30px; font-size: 30px;'><a href='#section31'>Individual Significant Features (Hits) Splines</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section32'>Cluster 1  | Hits: 3</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section34'>Cluster 2  | Hits: 1</a></li>
-<li style='margin-left: 50px; font-size: 25px;'><a href='#section36'>Cluster 3  | Hits: 1</a></li>
-</ul></div>
-<hr>
-<h2 style='font-size: 70px; color: #001F3F; text-align: center;' id='section1'>Exponential</h2>
-
-    <p style='text-align: center; font-size: 30px;'>
-        <span style='color: blue;'>Spline-type:</span> Natural cubic spline<br>
-        <span style='color: blue;'>DoF:</span> 2<br>
-        <span style='color: blue;'>Knots:</span> NA<br>
-        <span style='color: blue;'>Boundary-knots:</span> NA
-    </p>
-<p style='text-align: center; font-size: 30px;'>adj.p-value threshold: 0.050</p><p style='text-align: center; font-size: 30px;'>Number of hits: 61</p><hr>
-<h2 id='section2' style='text-align: center; font-size: 3.5em;'>Overall Clustering</h2>
-<div id="section
-3
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-<h2 id='section6' style='text-align: center; font-size: 3.5em;'>Min-max normalized individual and mean splines</h2>
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-<h2 id='section8' style='text-align: center; font-size: 3.5em;'>Z-Score of log2 Value Heatmap</h2><div style='text-align: center; font-size: 1.5em;'> Rows = features (labels on the right, cluster labels on the left), columns = timepoints; Blue = down, red = up, --> compared to the rest
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<text x='218.92' y='14.72' text-anchor='middle' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='5.72px' lengthAdjust='spacingAndGlyphs'>90</text>
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<text x='332.94' y='14.72' text-anchor='middle' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='8.58px' lengthAdjust='spacingAndGlyphs'>240</text>
<text transform='translate(14.72,48.53) rotate(-90)' text-anchor='middle' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='2.86px' lengthAdjust='spacingAndGlyphs'>1</text>
<text transform='translate(14.72,89.39) rotate(-90)' text-anchor='middle' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='2.86px' lengthAdjust='spacingAndGlyphs'>2</text>
<text transform='translate(14.72,112.83) rotate(-90)' text-anchor='middle' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='2.86px' lengthAdjust='spacingAndGlyphs'>3</text>
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<text transform='translate(14.72,175.79) rotate(-90)' text-anchor='middle' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='2.86px' lengthAdjust='spacingAndGlyphs'>5</text>
<text transform='translate(14.72,188.50) rotate(-90)' text-anchor='middle' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='2.86px' lengthAdjust='spacingAndGlyphs'>6</text>
<text x='363.28' y='23.52' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='82.66px' lengthAdjust='spacingAndGlyphs'>schwannomin-interacting protein 1</text>
<text x='363.28' y='26.20' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='97.73px' lengthAdjust='spacingAndGlyphs'>cytidine/uridine monophosphate kinase 1</text>
<text x='363.28' y='28.88' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='87.39px' lengthAdjust='spacingAndGlyphs'>NPC1 like intracellular cholesterol t ...</text>
<text x='363.28' y='31.56' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='57.59px' lengthAdjust='spacingAndGlyphs'>CTTNBP2 N-terminal like</text>
<text x='363.28' y='34.24' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='57.60px' lengthAdjust='spacingAndGlyphs'>ribonucleic acid export 1</text>
<text x='363.28' y='36.92' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='70.23px' lengthAdjust='spacingAndGlyphs'>CLOCK interacting pacemaker</text>
<text x='363.28' y='39.60' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='95.22px' lengthAdjust='spacingAndGlyphs'>sterile alpha motif domain containing 12</text>
<text x='363.28' y='42.28' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='62.58px' lengthAdjust='spacingAndGlyphs'>lysine acetyltransferase 2A</text>
<text x='363.28' y='44.96' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='70.14px' lengthAdjust='spacingAndGlyphs'>cell division cycle associated 3</text>
<text x='363.28' y='47.64' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='18.26px' lengthAdjust='spacingAndGlyphs'>cofilin 1</text>
<text x='363.28' y='50.32' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='95.39px' lengthAdjust='spacingAndGlyphs'>WD repeat containing, antisense to TP73</text>
<text x='363.28' y='53.00' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='55.35px' lengthAdjust='spacingAndGlyphs'>AHNAK nucleoprotein 2</text>
<text x='363.28' y='55.68' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='93.50px' lengthAdjust='spacingAndGlyphs'>family with sequence similarity 181 m ...</text>
<text x='363.28' y='58.36' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='80.92px' lengthAdjust='spacingAndGlyphs'>acid sensing ion channel subunit 2</text>
<text x='363.28' y='61.04' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='81.93px' lengthAdjust='spacingAndGlyphs'>ubiquitin conjugating enzyme E2 U</text>
<text x='363.28' y='63.72' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='90.45px' lengthAdjust='spacingAndGlyphs'>testis associated actin remodelling k ...</text>
<text x='363.28' y='66.40' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='83.15px' lengthAdjust='spacingAndGlyphs'>solute carrier family 35 member D3</text>
<text x='363.28' y='69.08' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='94.25px' lengthAdjust='spacingAndGlyphs'>1-acylglycerol-3-phosphate O-acyltran ...</text>
<text x='363.28' y='71.76' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='77.16px' lengthAdjust='spacingAndGlyphs'>zinc finger MIZ-type containing 2</text>
<text x='363.28' y='74.44' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='80.17px' lengthAdjust='spacingAndGlyphs'>leucine rich repeat containing 14B</text>
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<text x='363.28' y='84.48' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='51.25px' lengthAdjust='spacingAndGlyphs'>Coenzyme A synthase</text>
<text x='363.28' y='87.16' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='50.62px' lengthAdjust='spacingAndGlyphs'>IQ motif containing G</text>
<text x='363.28' y='89.84' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='89.83px' lengthAdjust='spacingAndGlyphs'>RB binding protein 9, serine hydrolase</text>
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<text x='363.28' y='95.20' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='70.71px' lengthAdjust='spacingAndGlyphs'>aquaporin 3 (Gill blood group)</text>
<text x='363.28' y='97.88' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='86.32px' lengthAdjust='spacingAndGlyphs'>ADP ribosylation factor like GTPase 1</text>
<text x='363.28' y='100.56' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='86.05px' lengthAdjust='spacingAndGlyphs'>heat shock protein HSP 90-alpha-like</text>
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<text x='363.28' y='107.91' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='69.44px' lengthAdjust='spacingAndGlyphs'>armadillo repeat containing 3</text>
<text x='363.28' y='110.60' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='62.39px' lengthAdjust='spacingAndGlyphs'>THAP domain containing 6</text>
<text x='363.28' y='113.28' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='88.09px' lengthAdjust='spacingAndGlyphs'>TNF receptor superfamily member 21</text>
<text x='363.28' y='115.96' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='90.41px' lengthAdjust='spacingAndGlyphs'>BPI fold containing family B member 3</text>
<text x='363.28' y='118.64' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='101.84px' lengthAdjust='spacingAndGlyphs'>NADH dehydrogenase [ubiquinone] 1 alp ...</text>
<text x='363.28' y='121.32' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='66.22px' lengthAdjust='spacingAndGlyphs'>karyopherin subunit alpha 7</text>
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<text x='363.28' y='128.67' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='96.22px' lengthAdjust='spacingAndGlyphs'>ER membrane protein complex subunit 3</text>
<text x='363.28' y='131.35' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='91.24px' lengthAdjust='spacingAndGlyphs'>tRNA aspartic acid methyltransferase 1</text>
<text x='363.28' y='134.03' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='80.76px' lengthAdjust='spacingAndGlyphs'>ATP synthase membrane subunit f</text>
<text x='363.28' y='136.71' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='16.55px' lengthAdjust='spacingAndGlyphs'>striatin</text>
<text x='363.28' y='139.39' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='76.05px' lengthAdjust='spacingAndGlyphs'>coiled-coil domain containing 60</text>
<text x='363.28' y='142.07' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='93.54px' lengthAdjust='spacingAndGlyphs'>adhesion G protein-coupled receptor F5</text>
<text x='363.28' y='144.75' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='79.50px' lengthAdjust='spacingAndGlyphs'>solute carrier family 26 member 9</text>
<text x='363.28' y='147.43' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='105.55px' lengthAdjust='spacingAndGlyphs'>membrane bound O-acyltransferase doma ...</text>
<text x='363.28' y='150.11' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='92.67px' lengthAdjust='spacingAndGlyphs'>geranylgeranyl diphosphate synthase 1</text>
<text x='363.28' y='152.79' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='84.83px' lengthAdjust='spacingAndGlyphs'>small integral membrane protein 41</text>
<text x='363.28' y='155.48' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='90.38px' lengthAdjust='spacingAndGlyphs'>CCHC-type zinc finger nucleic acid bi ...</text>
<text x='363.28' y='158.16' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='40.15px' lengthAdjust='spacingAndGlyphs'>crystallin beta A4</text>
<text x='363.28' y='160.84' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='92.74px' lengthAdjust='spacingAndGlyphs'>pleckstrin homology and coiled-coil d ...</text>
<text x='363.28' y='163.52' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='71.27px' lengthAdjust='spacingAndGlyphs'>ubiquitin specific peptidase 19</text>
<text x='363.28' y='166.20' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='64.41px' lengthAdjust='spacingAndGlyphs'>chloride channel CLIC like 1</text>
<text x='363.28' y='168.88' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='104.46px' lengthAdjust='spacingAndGlyphs'>ATPase plasma membrane Ca2+ transport ...</text>
<text x='363.28' y='173.55' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='97.88px' lengthAdjust='spacingAndGlyphs'>zinc finger and BTB domain containing 38</text>
<text x='363.28' y='176.23' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='89.42px' lengthAdjust='spacingAndGlyphs'>ATPase H+ transporting V1 subunit C2</text>
<text x='363.28' y='178.91' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='93.61px' lengthAdjust='spacingAndGlyphs'>core 1 synthase, glycoprotein-N-acety ...</text>
<text x='363.28' y='181.59' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='94.10px' lengthAdjust='spacingAndGlyphs'>phosphatidylinositol-4-phosphate 3-ki ...</text>
<text x='363.28' y='186.27' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='97.84px' lengthAdjust='spacingAndGlyphs'>betaine--homocysteine S-methyltransfe ...</text>
<text x='363.28' y='188.95' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='98.85px' lengthAdjust='spacingAndGlyphs'>RNA binding protein, mRNA processing  ...</text>
<text x='363.28' y='191.63' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='95.21px' lengthAdjust='spacingAndGlyphs'>mitochondrial nucleoid associated pro ...</text>
<text x='363.28' y='194.31' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='95.83px' lengthAdjust='spacingAndGlyphs'>triggering receptor expressed on myel ...</text>
<text transform='translate(31.24,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E09_TP01_Exponential</text>
<text transform='translate(49.57,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E10_TP01_Exponential</text>
<text transform='translate(67.91,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E12_TP01_Exponential</text>
<text transform='translate(88.24,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E09_TP02_Exponential</text>
<text transform='translate(106.58,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E10_TP02_Exponential</text>
<text transform='translate(124.92,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E12_TP02_Exponential</text>
<text transform='translate(145.25,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E09_TP03_Exponential</text>
<text transform='translate(163.59,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E10_TP03_Exponential</text>
<text transform='translate(181.93,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E12_TP03_Exponential</text>
<text transform='translate(202.26,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E09_TP04_Exponential</text>
<text transform='translate(220.60,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E10_TP04_Exponential</text>
<text transform='translate(238.94,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E12_TP04_Exponential</text>
<text transform='translate(259.27,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E09_TP05_Exponential</text>
<text transform='translate(277.61,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E10_TP05_Exponential</text>
<text transform='translate(295.94,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E12_TP05_Exponential</text>
<text transform='translate(316.28,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E09_TP06_Exponential</text>
<text transform='translate(334.61,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E10_TP06_Exponential</text>
<text transform='translate(352.95,197.92) rotate(-70)' text-anchor='end' style='font-size: 5.00px; font-family: "Liberation Sans";' textLength='52.16px' lengthAdjust='spacingAndGlyphs'>E12_TP06_Exponential</text>
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-<h2 id='section10' style='text-align: center; font-size: 3.5em;'>Individual Significant Features (Hits) Splines</h2><div style='text-align: center;font-size: 1.5em;'><b><span style='font-size:20pt; margin-bottom: 0;'>
-          Asterisks definition:</span></b><br>Adj. p-value < 0.05 --> *<br>Adj. p-value < 0.01 --> **<br>Adj. p-value < 0.001 --> ***</div>
-<h2 id="section11" style="text-align: center; margin-bottom: 20px; font-size: 50px;">Cluster 1  | Hits: 21</h2><div style="padding: 5px; text-align: center; font-size: 32px;">1-acylglycerol-3-phosphate O-acyltransferase 2</div><div style="display: flex;"><div style="flex: 1; padding: 5px;"><img src="data:image/svg+xml;base64,<?xml version='1.0' encoding='UTF-8' ?>
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-<h2 id="section15" style="text-align: center; margin-bottom: 20px; font-size: 50px;">Cluster 3  | Hits: 8</h2><div style="padding: 5px; text-align: center; font-size: 32px;">BPI fold containing family B member 3</div><div style="display: flex;"><div style="flex: 1; padding: 5px;"><img src="data:image/svg+xml;base64,<?xml version='1.0' encoding='UTF-8' ?>
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-<h2 id="section17" style="text-align: center; margin-bottom: 20px; font-size: 50px;">Cluster 4  | Hits: 16</h2><div style="padding: 5px; text-align: center; font-size: 32px;">ATP synthase membrane subunit f</div><div style="display: flex;"><div style="flex: 1; padding: 5px;"><img src="data:image/svg+xml;base64,<?xml version='1.0' encoding='UTF-8' ?>
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-<h2 id="section21" style="text-align: center; margin-bottom: 20px; font-size: 50px;">Cluster 6  | Hits: 4</h2><div style="padding: 5px; text-align: center; font-size: 32px;">RNA binding protein, mRNA processing factor 2</div><div style="display: flex;"><div style="flex: 1; padding: 5px;"><img src="data:image/svg+xml;base64,<?xml version='1.0' encoding='UTF-8' ?>
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<text x='234.98' y='172.60' text-anchor='middle' style='font-size: 8.00px; font-family: "Liberation Sans";' textLength='40.36px' lengthAdjust='spacingAndGlyphs'>Time [min]</text>
<text transform='translate(11.20,74.79) rotate(-90)' text-anchor='middle' style='font-size: 8.00px; font-family: "Liberation Sans";' textLength='50.71px' lengthAdjust='spacingAndGlyphs'>log2 intensity</text>
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<text x='459.91' y='64.35' style='font-size: 6.00px; font-family: "Liberation Sans";' textLength='22.53px' lengthAdjust='spacingAndGlyphs'>Feeding</text>
<text x='459.91' y='75.85' style='font-size: 6.00px; font-family: "Liberation Sans";' textLength='17.18px' lengthAdjust='spacingAndGlyphs'>Spline</text>
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-<h2 style='font-size: 70px; color: #001F3F; text-align: center;' id='section22'>Stationary</h2>
-
-    <p style='text-align: center; font-size: 30px;'>
-        <span style='color: blue;'>Spline-type:</span> Natural cubic spline<br>
-        <span style='color: blue;'>DoF:</span> 2<br>
-        <span style='color: blue;'>Knots:</span> NA<br>
-        <span style='color: blue;'>Boundary-knots:</span> NA
-    </p>
-<p style='text-align: center; font-size: 30px;'>adj.p-value threshold: 0.050</p><p style='text-align: center; font-size: 30px;'>Number of hits: 5</p><hr>
-<h2 id='section23' style='text-align: center; font-size: 3.5em;'>Overall Clustering</h2>
-<div id="section
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-<h2 id='section27' style='text-align: center; font-size: 3.5em;'>Min-max normalized individual and mean splines</h2>
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-<h2 id='section29' style='text-align: center; font-size: 3.5em;'>Z-Score of log2 Value Heatmap</h2><div style='text-align: center; font-size: 1.5em;'> Rows = features (labels on the right, cluster labels on the left), columns = timepoints; Blue = down, red = up, --> compared to the rest
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-<h2 id='section31' style='text-align: center; font-size: 3.5em;'>Individual Significant Features (Hits) Splines</h2><div style='text-align: center;font-size: 1.5em;'><b><span style='font-size:20pt; margin-bottom: 0;'>
-          Asterisks definition:</span></b><br>Adj. p-value < 0.05 --> *<br>Adj. p-value < 0.01 --> **<br>Adj. p-value < 0.001 --> ***</div>
-<h2 id="section32" style="text-align: center; margin-bottom: 20px; font-size: 50px;">Cluster 1  | Hits: 3</h2><div style="padding: 5px; text-align: center; font-size: 32px;">S100 calcium binding protein G</div><div style="display: flex;"><div style="flex: 1; padding: 5px;"><img src="data:image/svg+xml;base64,<?xml version='1.0' encoding='UTF-8' ?>
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296.49,97.45 296.83,97.47 297.17,97.49 297.51,97.51 297.85,97.52 298.20,97.54 298.54,97.56 298.88,97.58 299.22,97.59 299.56,97.61 299.90,97.63 300.24,97.64 300.58,97.66 300.92,97.68 301.26,97.69 301.60,97.71 301.94,97.72 302.28,97.74 302.62,97.75 302.97,97.77 303.31,97.78 303.65,97.80 303.99,97.81 304.33,97.83 304.67,97.84 305.01,97.85 305.35,97.87 305.69,97.88 306.03,97.89 306.37,97.91 306.71,97.92 307.05,97.93 307.39,97.95 307.74,97.96 308.08,97.97 308.42,97.98 308.76,98.00 309.10,98.01 309.44,98.02 309.78,98.03 310.12,98.04 310.46,98.05 310.80,98.06 311.14,98.07 311.48,98.08 311.82,98.09 312.16,98.10 312.51,98.12 312.85,98.12 313.19,98.13 313.53,98.14 313.87,98.15 314.21,98.16 314.55,98.17 314.89,98.18 315.23,98.19 315.57,98.20 315.91,98.21 316.25,98.22 316.59,98.22 316.93,98.23 317.28,98.24 317.62,98.25 317.96,98.25 318.30,98.26 318.64,98.27 318.98,98.28 319.32,98.28 319.66,98.29 320.00,98.30 320.34,98.30 320.68,98.31 321.02,98.32 321.36,98.32 321.70,98.33 322.05,98.33 322.39,98.34 322.73,98.34 323.07,98.35 323.41,98.35 323.75,98.36 324.09,98.36 324.43,98.37 324.77,98.37 325.11,98.38 325.45,98.38 325.79,98.39 326.13,98.39 326.48,98.39 326.82,98.40 327.16,98.40 327.50,98.40 327.84,98.41 328.18,98.41 328.52,98.41 328.86,98.42 329.20,98.42 329.54,98.42 329.88,98.43 330.22,98.43 330.56,98.43 330.90,98.43 331.25,98.43 331.59,98.44 331.93,98.44 332.27,98.44 332.61,98.44 332.95,98.44 333.29,98.44 333.63,98.44 333.97,98.45 334.31,98.45 334.65,98.45 334.99,98.45 335.33,98.45 335.67,98.45 336.02,98.45 336.36,98.45 336.70,98.45 337.04,98.45 337.38,98.45 337.72,98.45 338.06,98.45 338.40,98.45 338.74,98.45 339.08,98.45 339.42,98.45 339.76,98.44 340.10,98.44 340.44,98.44 340.79,98.44 341.13,98.44 341.47,98.44 341.81,98.44 342.15,98.43 342.49,98.43 342.83,98.43 343.17,98.43 343.51,98.43 343.85,98.42 344.19,98.42 344.53,98.42 344.87,98.42 345.21,98.41 345.56,98.41 345.90,98.41 346.24,98.40 346.58,98.40 346.92,98.40 347.26,98.39 347.60,98.39 347.94,98.39 348.28,98.38 348.62,98.38 348.96,98.38 349.30,98.37 349.64,98.37 349.99,98.36 350.33,98.36 350.67,98.36 351.01,98.35 351.35,98.35 351.69,98.34 352.03,98.34 352.37,98.33 352.71,98.33 353.05,98.32 353.39,98.32 353.73,98.31 354.07,98.31 354.41,98.30 354.76,98.30 355.10,98.29 355.44,98.29 355.78,98.28 356.12,98.28 356.46,98.27 356.80,98.26 357.14,98.26 357.48,98.25 357.82,98.25 358.16,98.24 358.50,98.23 358.84,98.23 359.18,98.22 359.53,98.21 359.87,98.21 360.21,98.20 360.55,98.20 360.89,98.19 361.23,98.18 361.57,98.17 361.91,98.17 362.25,98.16 362.59,98.15 362.93,98.15 363.27,98.14 363.61,98.13 363.95,98.12 364.30,98.12 364.64,98.11 364.98,98.10 365.32,98.09 365.66,98.09 366.00,98.08 366.34,98.07 366.68,98.06 367.02,98.06 367.36,98.05 367.70,98.04 368.04,98.03 368.38,98.02 368.72,98.02 369.07,98.01 369.41,98.00 369.75,97.99 370.09,97.98 370.43,97.97 370.77,97.96 371.11,97.96 371.45,97.95 371.79,97.94 372.13,97.93 372.47,97.92 372.81,97.91 373.15,97.90 373.49,97.89 373.84,97.89 374.18,97.88 374.52,97.87 374.86,97.86 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-</body></html>
diff --git a/man/InputControl.Rd b/man/InputControl.Rd
index c41fd7a..03818cf 100755
--- a/man/InputControl.Rd
+++ b/man/InputControl.Rd
@@ -23,7 +23,7 @@ If any of these checks fail, an informative error message is returned.
 
 
 The function performs the following checks:
-- If `clusters` is an integer or a vector of integers. Otherwise, it 
+- If `clusters` is an integer or a vector of integers. Otherwise, it
   gives an error.
 
 Check Plot Info
@@ -35,13 +35,13 @@ The method performs the following checks:
 * Ensures that `plot_info` is provided and not NULL.
 * Confirms that `y_axis_label` is a character vector with maximally 30
  characters.
-* Confirms that `time_unit` is a character vector with maximally 15 
+* Confirms that `time_unit` is a character vector with maximally 15
 characters.
 * Validates that `treatment_labels` is either `NA` or a character vector
- with each 
+ with each
   element being maximally 15 characters long.
-* Validates that `treatment_timepoints` is either `NA` or a numeric 
-vector with the 
+* Validates that `treatment_timepoints` is either `NA` or a numeric
+vector with the
   same length as `treatment_labels` if `treatment_labels` is not `NA`.
 
 If any of these checks fail, an informative error message is returned.
@@ -67,11 +67,11 @@ an error.
 }
 \section{Functions}{
 \itemize{
-\item \code{InputControl}: This method verifies the spline test configurations and associated 
+\item \code{InputControl}: This method verifies the spline test configurations and associated
 metadata
-within the object's arguments. It performs a series of checks on the 
-configurations, including column verification, spline type validation, 
-and ensuring that the degrees of freedom (dof) are within acceptable 
+within the object's arguments. It performs a series of checks on the
+configurations, including column verification, spline type validation,
+and ensuring that the degrees of freedom (dof) are within acceptable
 ranges.
 
 }}
@@ -82,7 +82,7 @@ Check Top Tables
 
 \code{\link[stats]{model.matrix}}
 
-Validate and check all modes
+Validate the `dream_params` argument
 }
 \section{Super classes}{
 \code{\link[SplineOmics:Level4Functions]{SplineOmics::Level4Functions}} -> \code{\link[SplineOmics:Level3Functions]{SplineOmics::Level3Functions}} -> \code{\link[SplineOmics:Level2Functions]{SplineOmics::Level2Functions}} -> \code{InputControl}
@@ -107,6 +107,7 @@ Initialize an InputControl object}
 \item \href{#method-InputControl-check_datas_descr}{\code{InputControl$check_datas_descr()}}
 \item \href{#method-InputControl-check_top_tables}{\code{InputControl$check_top_tables()}}
 \item \href{#method-InputControl-check_design_formula}{\code{InputControl$check_design_formula()}}
+\item \href{#method-InputControl-check_dream_params}{\code{InputControl$check_dream_params()}}
 \item \href{#method-InputControl-check_modes}{\code{InputControl$check_modes()}}
 \item \href{#method-InputControl-check_mode}{\code{InputControl$check_mode()}}
 \item \href{#method-InputControl-check_designs_and_metas}{\code{InputControl$check_designs_and_metas()}}
@@ -167,9 +168,9 @@ A new instance of the InputControl class.
 
 Automatically Validate All Arguments
 
-This method automatically validates all arguments by sequentially 
+This method automatically validates all arguments by sequentially
 calling
-various validation methods defined within the class. Each validation 
+various validation methods defined within the class. Each validation
 method
 checks specific aspects of the input arguments and raises an error if the
 validation fails.
@@ -203,7 +204,7 @@ The following validation methods are called in sequence:
 }
 
 \subsection{Returns}{
-NULL. The function is used for its side effects of validating 
+NULL. The function is used for its side effects of validating
 input
 arguments and raising errors if any validation fails.
 
@@ -214,13 +215,13 @@ Check Data and Meta
 \if{html}{\out{<a id="method-InputControl-check_data_and_meta"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_data_and_meta}{}}}
 \subsection{Method \code{check_data_and_meta()}}{
-This function checks the validity of the data and meta objects, 
+This function checks the validity of the data and meta objects,
 ensuring that
-data is a matrix with numeric values and that meta is a dataframe 
+data is a matrix with numeric values and that meta is a dataframe
 containing
-the specified condition column. Additionally, it verifies that the 
+the specified condition column. Additionally, it verifies that the
 number of
-columns in the data matrix matches the number of rows in the meta 
+columns in the data matrix matches the number of rows in the meta
 dataframe.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_data_and_meta()}\if{html}{\out{</div>}}
@@ -231,7 +232,7 @@ dataframe.
 \describe{
 \item{\code{data}}{A matrix containing numeric values.}
 
-\item{\code{meta}}{A dataframe containing the metadata, including the 'Time' 
+\item{\code{meta}}{A dataframe containing the metadata, including the 'Time'
 column
 and the specified condition column.}
 
@@ -257,16 +258,16 @@ Check Annotation Consistency
 \if{html}{\out{<a id="method-InputControl-check_annotation"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_annotation}{}}}
 \subsection{Method \code{check_annotation()}}{
-This method checks the consistency of the annotation with the data. 
+This method checks the consistency of the annotation with the data.
 It ensures
-that the annotation is a dataframe and that it has the same number 
+that the annotation is a dataframe and that it has the same number
 of rows as the data.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_annotation()}\if{html}{\out{</div>}}
 }
 
 \subsection{Returns}{
-NULL if any required arguments are missing. Otherwise, performs 
+NULL if any required arguments are missing. Otherwise, performs
 checks and potentially raises errors if checks fail.
 
 Check Multiple Data and Meta Pairs
@@ -276,7 +277,7 @@ Check Multiple Data and Meta Pairs
 \if{html}{\out{<a id="method-InputControl-check_datas_and_metas"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_datas_and_metas}{}}}
 \subsection{Method \code{check_datas_and_metas()}}{
-Iterates over multiple data and meta pairs to validate each pair using 
+Iterates over multiple data and meta pairs to validate each pair using
 the `check_data_and_meta` function.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_datas_and_metas()}\if{html}{\out{</div>}}
@@ -289,15 +290,15 @@ the `check_data_and_meta` function.
 
 \item{\code{metas}}{A list of data frames containing metadata.}
 
-\item{\code{condition}}{A character string specifying the column name in the 
+\item{\code{condition}}{A character string specifying the column name in the
 meta dataframe to be checked.}
 
-\item{\code{meta_batch_column}}{An optional parameter specifying the column name 
+\item{\code{meta_batch_column}}{An optional parameter specifying the column name
 in the meta dataframe used to remove the batch effect. Default is NA.}
 
 \item{\code{meta_batch2_column}}{An optional parameter specifying the column
- name 
-in the meta dataframe used to remove the second batch effect. Default 
+ name
+in the meta dataframe used to remove the second batch effect. Default
 is NA.}
 }
 \if{html}{\out{</div>}}
@@ -312,8 +313,8 @@ Check Data Descriptions
 \if{html}{\out{<a id="method-InputControl-check_datas_descr"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_datas_descr}{}}}
 \subsection{Method \code{check_datas_descr()}}{
-Validates that the data descriptions are character vectors with each 
-element 
+Validates that the data descriptions are character vectors with each
+element
 not exceeding 80 characters in length.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_datas_descr()}\if{html}{\out{</div>}}
@@ -358,7 +359,7 @@ Check Design Formula
 \if{latex}{\out{\hypertarget{method-InputControl-check_design_formula}{}}}
 \subsection{Method \code{check_design_formula()}}{
 Validates the design formula ensuring it is a valid character string,
-contains allowed characters, includes the intercept term 'X', and 
+contains allowed characters, includes the intercept term 'X', and
 references
 columns present in the metadata.
 \subsection{Usage}{
@@ -377,16 +378,42 @@ columns present in the metadata.
 \if{html}{\out{</div>}}
 }
 \subsection{Returns}{
-TRUE if the design formula is valid, otherwise an error is 
+TRUE if the design formula is valid, otherwise an error is
 thrown.
 }
 }
 \if{html}{\out{<hr>}}
+\if{html}{\out{<a id="method-InputControl-check_dream_params"></a>}}
+\if{latex}{\out{\hypertarget{method-InputControl-check_dream_params}{}}}
+\subsection{Method \code{check_dream_params()}}{
+This function checks the validity of the `dream_params` argument provided 
+in the class. If `dream_params` is present, it ensures that it contains  
+the required and optional elements in the correct format. 
+Specifically, `dream_params` must contain a named element 
+`random_effects`, 
+which is required and must be a string. It may also optionally contain 
+the 
+elements `dof`, which must be an integer greater than 1, and 
+`KenwardRoger`, 
+which must be a boolean. Unnamed elements or elements other than these 
+three are not allowed.
+\subsection{Usage}{
+\if{html}{\out{<div class="r">}}\preformatted{InputControl$check_dream_params()}\if{html}{\out{</div>}}
+}
+
+\subsection{Returns}{
+Returns `TRUE` if `dream_params` passes all checks. Otherwise, stops the 
+function and returns an error message using `stop_call_false`.
+
+Validate and check all modes
+}
+}
+\if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-InputControl-check_modes"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_modes}{}}}
 \subsection{Method \code{check_modes()}}{
-This function iterates over the `modes` argument, sets each `mode` in 
-`self$args`, and calls `check_mode()` to validate each mode. After each 
+This function iterates over the `modes` argument, sets each `mode` in
+`self$args`, and calls `check_mode()` to validate each mode. After each
 validation, the `mode` is removed from `self$args`.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_modes()}\if{html}{\out{</div>}}
@@ -402,8 +429,8 @@ Check the mode argument for validity
 \if{html}{\out{<a id="method-InputControl-check_mode"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_mode}{}}}
 \subsection{Method \code{check_mode()}}{
-This function checks if the `mode` argument is provided and validates 
-that it is either "isolated" or "integrated". If `mode` is missing or 
+This function checks if the `mode` argument is provided and validates
+that it is either "isolated" or "integrated". If `mode` is missing or
 invalid, an error is thrown.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_mode()}\if{html}{\out{</div>}}
@@ -428,7 +455,7 @@ to validate each pair using the `check_design_formula` function.
 \subsection{Arguments}{
 \if{html}{\out{<div class="arguments">}}
 \describe{
-\item{\code{designs}}{A vector of character strings representing design 
+\item{\code{designs}}{A vector of character strings representing design
 formulas.}
 
 \item{\code{metas}}{A list of data frames containing metadata.}
@@ -497,10 +524,10 @@ Returns `NULL` if any required arguments are mising, otherwise,
 
 Check Limma Top Tables Structure
 
-This function checks if the provided limma top tables data structure 
-is correctly formatted. It ensures that the data structure contains 
-exactly three named elements ('time_effect', 'avrg_diff_conditions', 
-and 'interaction_condition_time') and that each element contains 
+This function checks if the provided limma top tables data structure
+is correctly formatted. It ensures that the data structure contains
+exactly three named elements ('time_effect', 'avrg_diff_conditions',
+and 'interaction_condition_time') and that each element contains
 dataframes with the correct columns and data types.
 }
 }
@@ -520,7 +547,7 @@ dataframes with the correct columns and data types.
 \if{html}{\out{</div>}}
 }
 \subsection{Returns}{
-This function does not return a value. It stops execution 
+This function does not return a value. It stops execution
 if the data structure does not match the expected format.
 
 Check Adjusted p-Thresholds
@@ -532,7 +559,7 @@ Check Adjusted p-Thresholds
 \subsection{Method \code{check_adj_pthresholds()}}{
 This function checks the validity of the adjusted p-thresholds vector,
 ensuring that
-all elements are numeric, greater than 0, and less than 1. If any of 
+all elements are numeric, greater than 0, and less than 1. If any of
 these
 conditions
 are not met, the function stops execution and returns an error message
@@ -560,15 +587,15 @@ Check adjusted p-value thresholds for limma category 2 and 3
 \if{html}{\out{<a id="method-InputControl-check_adj_pthresh_limma_category_2_3"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_adj_pthresh_limma_category_2_3}{}}}
 \subsection{Method \code{check_adj_pthresh_limma_category_2_3()}}{
-This function checks that both adjusted p-value thresholds for 
-average difference conditions and interaction condition time are 
+This function checks that both adjusted p-value thresholds for
+average difference conditions and interaction condition time are
 non-null, floats, and in the range [0, 1].
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_adj_pthresh_limma_category_2_3()}\if{html}{\out{</div>}}
 }
 
 \subsection{Returns}{
-`NULL` if either argument is `NULL` or invalid. 
+`NULL` if either argument is `NULL` or invalid.
 Otherwise, no return value (assumed valid inputs).
 
 Check Clusters
@@ -578,11 +605,11 @@ Check Clusters
 \if{html}{\out{<a id="method-InputControl-check_clusters"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_clusters}{}}}
 \subsection{Method \code{check_clusters()}}{
-This function verifies the cluster configurations within the object's 
+This function verifies the cluster configurations within the object's
 arguments.
-It checks if the clusters argument is present and performs validation 
-on its 
-content. If no clusters are specified, it defaults to automatic cluster 
+It checks if the clusters argument is present and performs validation
+on its
+content. If no clusters are specified, it defaults to automatic cluster
 estimation.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_clusters()}\if{html}{\out{</div>}}
@@ -593,20 +620,20 @@ estimation.
 \if{html}{\out{<a id="method-InputControl-check_plot_info"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_plot_info}{}}}
 \subsection{Method \code{check_plot_info()}}{
-This method checks the validity of the `plot_info` list. It ensures that 
-`y_axis_label` and `time_unit` meet the length constraints, 
-`treatment_labels` 
-is either `NA` or a character vector with elements meeting the length 
-constraint, 
-and `treatment_timepoints` is either `NA` or a numeric vector with the 
-same length 
+This method checks the validity of the `plot_info` list. It ensures that
+`y_axis_label` and `time_unit` meet the length constraints,
+`treatment_labels`
+is either `NA` or a character vector with elements meeting the length
+constraint,
+and `treatment_timepoints` is either `NA` or a numeric vector with the
+same length
 as `treatment_labels`.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_plot_info()}\if{html}{\out{</div>}}
 }
 
 \subsection{Returns}{
-NULL if `plot_info` is not provided or invalid. Otherwise, 
+NULL if `plot_info` is not provided or invalid. Otherwise,
 performs checks
 and potentially raises errors if checks fail.
 
@@ -617,10 +644,10 @@ Check plot options
 \if{html}{\out{<a id="method-InputControl-check_plot_options"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_plot_options}{}}}
 \subsection{Method \code{check_plot_options()}}{
-This method checks if the `plot_options` list contains the required 
-elements 
-`meta_replicate_column` and `cluster_heatmap_columns`. It validates that 
-`cluster_heatmap_columns` is either TRUE or FALSE, and that 
+This method checks if the `plot_options` list contains the required
+elements
+`meta_replicate_column` and `cluster_heatmap_columns`. It validates that
+`cluster_heatmap_columns` is either TRUE or FALSE, and that
 `meta_replicate_column` is a valid column name in the `meta` dataframe.
 If the checks fail, the script stops with an error message.
 
@@ -639,7 +666,7 @@ valid directory.
 If the directory does not exist, it attempts to create it. If there are
  any
 warnings or
-errors during directory creation, the function stops execution and 
+errors during directory creation, the function stops execution and
 returns
 an error message.
 \subsection{Usage}{
@@ -667,19 +694,19 @@ Check Genes Validity
 \if{html}{\out{<a id="method-InputControl-check_genes"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_genes}{}}}
 \subsection{Method \code{check_genes()}}{
-This function checks the validity of the `data` and `genes` arguments 
-within the `self$args` list. It ensures that `genes` is a character 
-vector, 
-that neither `data` nor `genes` is `NULL`, and that the length of `genes` 
+This function checks the validity of the `data` and `genes` arguments
+within the `self$args` list. It ensures that `genes` is a character
+vector,
+that neither `data` nor `genes` is `NULL`, and that the length of `genes`
 matches the number of rows in `data`.
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{InputControl$check_genes()}\if{html}{\out{</div>}}
 }
 
 \subsection{Returns}{
-Returns `TRUE` if all checks pass. Returns `NULL` if any required 
-arguments are `NULL`. Throws an error if `genes` is not a character 
-vector 
+Returns `TRUE` if all checks pass. Returns `NULL` if any required
+arguments are `NULL`. Throws an error if `genes` is not a character
+vector
 or if the length of `genes` does not match the number of rows in `data`.
 
 Check p-Adjustment Method
@@ -689,10 +716,10 @@ Check p-Adjustment Method
 \if{html}{\out{<a id="method-InputControl-check_padjust_method"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_padjust_method}{}}}
 \subsection{Method \code{check_padjust_method()}}{
-This function checks if the provided p-adjustment method is valid. The 
+This function checks if the provided p-adjustment method is valid. The
 valid
 methods are:
-"holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", and 
+"holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", and
 "none".
 If the method
 is not one of these, the function stops execution and returns an error
@@ -704,7 +731,7 @@ is not one of these, the function stops execution and returns an error
 \subsection{Arguments}{
 \if{html}{\out{<div class="arguments">}}
 \describe{
-\item{\code{padjust_method}}{A character string specifying the p-adjustment 
+\item{\code{padjust_method}}{A character string specifying the p-adjustment
 method.
 Valid options
 are "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", and
@@ -724,7 +751,7 @@ Check Report Information
 \if{html}{\out{<a id="method-InputControl-check_report_info"></a>}}
 \if{latex}{\out{\hypertarget{method-InputControl-check_report_info}{}}}
 \subsection{Method \code{check_report_info()}}{
-Validates the report information to ensure it contains all mandatory 
+Validates the report information to ensure it contains all mandatory
 fields
 and adheres to the required formats.
 \subsection{Usage}{
diff --git a/man/NumericBlockFinder.Rd b/man/NumericBlockFinder.Rd
index 6e93606..1810bb5 100755
--- a/man/NumericBlockFinder.Rd
+++ b/man/NumericBlockFinder.Rd
@@ -4,7 +4,7 @@
 \alias{NumericBlockFinder}
 \title{NumericBlockFinder: A class for finding numeric blocks in data}
 \description{
-This class provides methods to identify the upper-left and lower-right 
+This class provides methods to identify the upper-left and lower-right
 cells of a numeric block within a dataframe.
 }
 \section{Public fields}{
@@ -48,7 +48,7 @@ A new instance of the NumericBlockFinder class.
 
 Find the upper-left cell of the first 6x6 block of numeric values
 
-This method identifies the upper-left cell of the first 6x6 block of 
+This method identifies the upper-left cell of the first 6x6 block of
 numeric values in the dataframe.
 }
 }
@@ -61,9 +61,9 @@ numeric values in the dataframe.
 }
 
 \subsection{Returns}{
-A list containing the row and column indices of the upper-left 
+A list containing the row and column indices of the upper-left
         cell.
-        
+
 Find the lower-right cell of a block of contiguous non-NA values
 
 This method identifies the lower-right cell of a block of contiguous
diff --git a/man/SplineOmics-package.Rd b/man/SplineOmics-package.Rd
index 1285479..f4da33b 100755
--- a/man/SplineOmics-package.Rd
+++ b/man/SplineOmics-package.Rd
@@ -6,12 +6,12 @@
 \alias{SplineOmics-package}
 \title{Package Name: SplineOmics}
 \description{
-The R package SplineOmics finds the significant features (hits) of 
+The R package SplineOmics finds the significant features (hits) of
 time-series -omics data by using splines and limma for hypothesis testing.
-It then clusters the hits based on the spline shape while showing all 
+It then clusters the hits based on the spline shape while showing all
 results in summary HTML reports.
 
-For detailed documentation, vignettes, and examples, please visit the 
+For detailed documentation, vignettes, and examples, please visit the
 [SplineOmics GitHub page](https://github.com/csbg/SplineOmics.git).
 }
 \section{Key Functions and Classes}{
@@ -23,25 +23,25 @@ For detailed documentation, vignettes, and examples, please visit the
                 an HTML report containg various plots, such as density plots
                 and correlation heatmaps.
 - screen_limma_hyperparams: Allows the specify lists of different hyperparameters
-                            to test, such as a degree of freedom of 2, 3, 4, 
-                            and adj.p-val thresholds, such as 0.1 and 0.05, 
+                            to test, such as a degree of freedom of 2, 3, 4,
+                            and adj.p-val thresholds, such as 0.1 and 0.05,
                             and tests all specified different values for all
                             limma spline hyperparameters in a semi-combinatorial
                             way.
-- update_splineomics: Allows to change values of the SplineOmics object, for 
+- update_splineomics: Allows to change values of the SplineOmics object, for
                       example after observing that outliers should be removed
                       from the data (update the data parameter).
-- run_limma_splines: Central function of the script, is called by the 
+- run_limma_splines: Central function of the script, is called by the
                      screen_limma_hyperparams function and can be called to
-                     get the limma spline analysis results (p-values for all 
+                     get the limma spline analysis results (p-values for all
                      features (e.g. proteins)) with the hyperparameters, that
                       were selected finally.
-- create_limma_report: Creates an HTML report showing the run_limma_splines 
+- create_limma_report: Creates an HTML report showing the run_limma_splines
                        results
 - cluster_hits: Clusters the splines of the hits (significant features) based
                  on their shape and shows all results as plots in an HTML
                  report.
-- download_enrichr_databases: Allows to download the Enrichr databases for 
+- download_enrichr_databases: Allows to download the Enrichr databases for
                               runnin clusterProfiler in the run_gsea function
                               with them.
 - run_gsea: Runs clusterProfiler with the clustered hits by using the Enrichr
@@ -85,15 +85,15 @@ These dependencies are only necessary for some functions:
 
 \section{Authors}{
 
-- [Thomas-Rauter](https://github.com/Thomas-Rauter) - Wrote the package and 
-  developed the approach with VSchaepertoens under guidance from nfortelny 
+- [Thomas-Rauter](https://github.com/Thomas-Rauter) - Wrote the package and
+  developed the approach with VSchaepertoens under guidance from nfortelny
   and skafdasschaf.
-- [nfortelny](https://github.com/nfortelny) - Principal Investigator, 
+- [nfortelny](https://github.com/nfortelny) - Principal Investigator,
   provided guidance and support.
-- [skafdasschaf](https://github.com/skafdasschaf) - Helped review code and 
+- [skafdasschaf](https://github.com/skafdasschaf) - Helped review code and
   provided improvement suggestions.
-- [VSchaepertoens](https://github.com/VSchaepertoens) - Developed an internal 
-  plotting function and contributed to exploratory data analysis and the 
+- [VSchaepertoens](https://github.com/VSchaepertoens) - Developed an internal
+  plotting function and contributed to exploratory data analysis and the
   overall approach.
 }
 
@@ -122,11 +122,12 @@ None
 Useful links:
 \itemize{
   \item \url{https://csbg.github.io/SplineOmics}
+  \item Report bugs at \url{https://github.com/csbg/SplineOmics/issues}
 }
 
 }
 \author{
-\strong{Maintainer}: Thomas Rauter \email{thomas.rauter@plus.ac.at}
+\strong{Maintainer}: Thomas Rauter \email{thomas.rauter@plus.ac.at} (\href{https://orcid.org/0009-0004-5578-3628}{ORCID})
 
 }
 \keyword{GSEA,}
diff --git a/man/add_dashed_lines.Rd b/man/add_dashed_lines.Rd
index 3282150..6aa06c6 100755
--- a/man/add_dashed_lines.Rd
+++ b/man/add_dashed_lines.Rd
@@ -7,24 +7,24 @@
 add_dashed_lines(p, treatment_timepoints, treatment_labels, y_pos)
 }
 \arguments{
-\item{p}{A ggplot object. The plot to which dashed lines and labels 
+\item{p}{A ggplot object. The plot to which dashed lines and labels
 will be added.}
 
-\item{treatment_timepoints}{A numeric vector of timepoints where 
+\item{treatment_timepoints}{A numeric vector of timepoints where
 dashed lines should be drawn.}
 
-\item{treatment_labels}{A character vector of labels corresponding 
-to each treatment timepoint. These labels are used for coloring 
+\item{treatment_labels}{A character vector of labels corresponding
+to each treatment timepoint. These labels are used for coloring
 the lines, but the x-axis coordinates are displayed as the labels.}
 
-\item{y_pos}{A numeric value specifying the y-axis position where 
+\item{y_pos}{A numeric value specifying the y-axis position where
 the text labels should be placed.}
 }
 \value{
 A ggplot object with added dashed lines and labels.
 }
 \description{
-This internal function adds dashed vertical lines at specified 
-treatment timepoints to a plot, along with text labels that 
+This internal function adds dashed vertical lines at specified
+treatment timepoints to a plot, along with text labels that
 display the corresponding x-axis values.
 }
diff --git a/man/add_feature_names.Rd b/man/add_feature_names.Rd
index 1f342c4..0c2379d 100755
--- a/man/add_feature_names.Rd
+++ b/man/add_feature_names.Rd
@@ -11,26 +11,26 @@ add_feature_names(data, clean_data, feature_name_columns)
 
 \item{clean_data}{A dataframe to which the feature names will be added.}
 
-\item{feature_name_columns}{A string specifying the name of the feature 
-columns in `data`. If `NA`, sequential numbers 
+\item{feature_name_columns}{A string specifying the name of the feature
+columns in `data`. If `NA`, sequential numbers
 will be used as feature names.}
 }
 \value{
 The `clean_data` dataframe with updated row names.
 }
 \description{
-This function assigns feature names to the rows of a dataframe based on a 
-specified column from another dataframe. If no column is specified, it 
+This function assigns feature names to the rows of a dataframe based on a
+specified column from another dataframe. If no column is specified, it
 assigns sequential numbers as feature names.
 }
 \details{
 The function performs the following operations:
 - Extracts feature names from the specified column in `data`, ignoring
  `NA` values.
-- Ensures the feature names are unique and match the number of rows in 
+- Ensures the feature names are unique and match the number of rows in
 `clean_data`.
 - Assigns the feature names to the rows of `clean_data`.
-- If `feature_name_column` is `NA`, assigns sequential numbers 
-(1, 2, 3, etc.) 
+- If `feature_name_column` is `NA`, assigns sequential numbers
+(1, 2, 3, etc.)
   as feature names and issues a message.
 }
diff --git a/man/add_plot_to_html.Rd b/man/add_plot_to_html.Rd
index 1e0718e..bcd04db 100755
--- a/man/add_plot_to_html.Rd
+++ b/man/add_plot_to_html.Rd
@@ -19,6 +19,6 @@ add_plot_to_html(html_content, plot_element, plots_size, section_index)
 The updated HTML content as a character string.
 }
 \description{
-This function converts a plot to a base64 image and adds it to the 
+This function converts a plot to a base64 image and adds it to the
 HTML content.
 }
diff --git a/man/ask_user.Rd b/man/ask_user.Rd
index 2045bfe..ea715a0 100755
--- a/man/ask_user.Rd
+++ b/man/ask_user.Rd
@@ -13,7 +13,7 @@ ask_user(question)
 None.
 }
 \description{
-This function prompts the user with a yes/no question. If the user answers 
-"yes" (case insensitive), the code proceeds. If the user answers "no" or 
+This function prompts the user with a yes/no question. If the user answers
+"yes" (case insensitive), the code proceeds. If the user answers "no" or
 anything else, the code stops.
 }
diff --git a/man/between_level.Rd b/man/between_level.Rd
index 4088ddf..b51ea9f 100755
--- a/man/between_level.Rd
+++ b/man/between_level.Rd
@@ -9,6 +9,7 @@ between_level(
   rna_seq_data,
   meta,
   design,
+  dream_params,
   spline_params,
   condition,
   compared_levels,
@@ -19,13 +20,21 @@ between_level(
 \arguments{
 \item{data}{A matrix of data values.}
 
-\item{rna_seq_data}{An object containing the preprocessed RNA-seq data, 
+\item{rna_seq_data}{An object containing the preprocessed RNA-seq data,
 such as the output from `limma::voom` or a similar preprocessing pipeline.}
 
 \item{meta}{A dataframe containing metadata, including a 'Time' column.}
 
 \item{design}{A design formula or matrix for the LIMMA analysis.}
 
+\item{dream_params}{A named list or NULL. When not NULL, it must at least 
+contain the named element 'random_effects', which must contain a string that
+is a formula for the random effects of the mixed models by dream. 
+Additionally, it can contain the named elements dof, which must be a int
+bigger than 1, which is the degree of freedom for the dream topTable, and
+the named element KenwardRoger, which must be a bool, specifying whether
+to use that method or not.}
+
 \item{spline_params}{A list of spline parameters for the analysis.}
 
 \item{condition}{A character string specifying the condition.}
@@ -37,15 +46,15 @@ such as the output from `limma::voom` or a similar preprocessing pipeline.}
 \item{feature_names}{A non-empty character vector of feature names.}
 }
 \value{
-A list containing top tables for the factor only and factor-time 
+A list containing top tables for the factor only and factor-time
 contrast.
 }
 \description{
-Performs a between-level analysis using LIMMA to compare specified levels 
+Performs a between-level analysis using LIMMA to compare specified levels
 within a condition.
 }
 \seealso{
-\code{\link[splines]{bs}}, \code{\link[splines]{ns}}, 
-\code{\link[limma]{lmFit}}, \code{\link[limma]{eBayes}}, 
+\code{\link[splines]{bs}}, \code{\link[splines]{ns}},
+\code{\link[limma]{lmFit}}, \code{\link[limma]{eBayes}},
 \code{\link[limma]{topTable}}, \code{\link{modify_limma_top_table}}
 }
diff --git a/man/bind_data_with_annotation.Rd b/man/bind_data_with_annotation.Rd
index 32a1b49..fb01b95 100755
--- a/man/bind_data_with_annotation.Rd
+++ b/man/bind_data_with_annotation.Rd
@@ -17,7 +17,7 @@ A dataframe with `data` and `annotation` combined, and the row names
 as the first column named `feature_names`.
 }
 \description{
-This function converts a matrix to a dataframe, adds row names as the first 
+This function converts a matrix to a dataframe, adds row names as the first
 column,
 and binds it with annotation data.
 }
diff --git a/man/build_create_limma_report.Rd b/man/build_create_limma_report.Rd
index 5d25627..26bb320 100755
--- a/man/build_create_limma_report.Rd
+++ b/man/build_create_limma_report.Rd
@@ -25,14 +25,14 @@ build_create_limma_report(
 \item{report_info}{A named list containg the report info fields. Here used
 for the email hotkey functionality.}
 
-\item{output_file_path}{A character string specifying the path to save the 
+\item{output_file_path}{A character string specifying the path to save the
 HTML report.}
 }
 \value{
 No return value, called for side effects.
 }
 \description{
-Generates an HTML report for clustered hits, including plots and 
+Generates an HTML report for clustered hits, including plots and
 spline parameter details, with a table of contents.
 }
 \seealso{
diff --git a/man/build_explore_data_report.Rd b/man/build_explore_data_report.Rd
index 75aa68d..c70c111 100755
--- a/man/build_explore_data_report.Rd
+++ b/man/build_explore_data_report.Rd
@@ -13,26 +13,26 @@ build_explore_data_report(
 )
 }
 \arguments{
-\item{header_section}{A string containing the HTML content for the header 
+\item{header_section}{A string containing the HTML content for the header
 section of the report.}
 
-\item{plots}{A list of ggplot objects representing the plots to be included 
+\item{plots}{A list of ggplot objects representing the plots to be included
 in the report.}
 
-\item{plots_sizes}{A list of sizes corresponding to each plot, defining the 
+\item{plots_sizes}{A list of sizes corresponding to each plot, defining the
 dimensions to be used when rendering the plots.}
 
 \item{report_info}{A named list containg the report info fields. Here used
 for the email hotkey functionality.}
 
-\item{output_file_path}{A string specifying the file path where the HTML 
+\item{output_file_path}{A string specifying the file path where the HTML
 report will be saved.}
 }
 \value{
 None. This function writes the HTML content to the specified file.
 }
 \description{
-This function generates an HTML report containing a header section, table of 
-contents, and a series of plots. Each plot is included in the report with 
+This function generates an HTML report containing a header section, table of
+contents, and a series of plots. Each plot is included in the report with
 specified sizes.
 }
diff --git a/man/build_hyperparams_screen_report.Rd b/man/build_hyperparams_screen_report.Rd
index 7385089..a3ce31b 100755
--- a/man/build_hyperparams_screen_report.Rd
+++ b/man/build_hyperparams_screen_report.Rd
@@ -17,20 +17,20 @@ build_hyperparams_screen_report(
 
 \item{plots}{A list of ggplot2 plot objects.}
 
-\item{plots_sizes}{A list of integers specifying the number of rows for each 
+\item{plots_sizes}{A list of integers specifying the number of rows for each
 plot.}
 
 \item{report_info}{A named list containg the report info fields. Here used
 for the email hotkey functionality.}
 
-\item{output_file_path}{A character string specifying the path to save the 
+\item{output_file_path}{A character string specifying the path to save the
 HTML report.}
 }
 \value{
 No return value, called for side effects.
 }
 \description{
-Constructs an HTML report for hyperparameter screening by embedding plots 
+Constructs an HTML report for hyperparameter screening by embedding plots
 and their respective sizes into the provided header section.
 }
 \seealso{
diff --git a/man/calc_cv.Rd b/man/calc_cv.Rd
new file mode 100644
index 0000000..118d34f
--- /dev/null
+++ b/man/calc_cv.Rd
@@ -0,0 +1,26 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/cluster_hits.R
+\name{calc_cv}
+\alias{calc_cv}
+\title{Calculate average CV across unique time points}
+\usage{
+calc_cv(time_values, response_values)
+}
+\arguments{
+\item{time_values}{A numeric vector containing the time points. Time points
+may repeat across replicates.}
+
+\item{response_values}{A numeric vector of response values corresponding to
+the time points.}
+}
+\value{
+The average coefficient of variation (CV) across all time points.
+Returns NA if all CVs are NA.
+}
+\description{
+This function calculates the coefficient of variation (CV) for each unique
+time point based on the provided time values and response values. It then
+returns the average CV across all time points. The CV is only calculated if
+there are more than one valid (non-NA) values for a given time point and
+the mean of the values is non-zero.
+}
diff --git a/man/check_between_level_pattern.Rd b/man/check_between_level_pattern.Rd
index 5b54d5f..df8978f 100755
--- a/man/check_between_level_pattern.Rd
+++ b/man/check_between_level_pattern.Rd
@@ -7,28 +7,28 @@
 check_between_level_pattern(top_tables)
 }
 \arguments{
-\item{top_tables}{A list where each element is itself a list containing 
+\item{top_tables}{A list where each element is itself a list containing
 named elements.}
 }
 \value{
 A list with two elements:
 \describe{
-  \item{between_levels}{A logical value indicating whether any element names 
+  \item{between_levels}{A logical value indicating whether any element names
   match the between-level pattern.}
-  \item{index_with_pattern}{The index of the first element in `top_tables` 
-  where all names match the between-level pattern, or NA if no match is 
+  \item{index_with_pattern}{The index of the first element in `top_tables`
+  where all names match the between-level pattern, or NA if no match is
   found.}
 }
 }
 \description{
-This function checks if any of the elements within a list of top tables 
+This function checks if any of the elements within a list of top tables
 contain element names that match the specified between-level pattern.
 }
 \details{
-The function iterates over each element in `top_tables`. For each element 
-that 
-is a list, it checks if all names within that inner list match the pattern 
-`".+_vs_.+"`. If a match is found, the function sets `between_levels` to TRUE 
-and records the index of the matching element. The search stops at the first 
+The function iterates over each element in `top_tables`. For each element
+that
+is a list, it checks if all names within that inner list match the pattern
+`".+_vs_.+"`. If a match is found, the function sets `between_levels` to TRUE
+and records the index of the matching element. The search stops at the first
 match.
 }
diff --git a/man/clean_gene_symbols.Rd b/man/clean_gene_symbols.Rd
index 432545b..38cc309 100755
--- a/man/clean_gene_symbols.Rd
+++ b/man/clean_gene_symbols.Rd
@@ -10,13 +10,13 @@ clean_gene_symbols(genes)
 \item{genes}{A character vector containing gene names to be cleaned.}
 }
 \value{
-A character vector of cleaned gene symbols (names) with the same 
-length as the input. The cleaned names will be in uppercase, and any 
+A character vector of cleaned gene symbols (names) with the same
+length as the input. The cleaned names will be in uppercase, and any
 invalid or empty gene names will be replaced with NA.
 }
 \description{
-This function preprocesses a vector of gene names by cleaning and 
-formatting them. It removes any non-alphanumeric characters after the 
-first block of alphanumeric characters and converts the remaining 
+This function preprocesses a vector of gene names by cleaning and
+formatting them. It removes any non-alphanumeric characters after the
+first block of alphanumeric characters and converts the remaining
 characters to uppercase.
 }
diff --git a/man/cluster_hits.Rd b/man/cluster_hits.Rd
index a13aa4a..b3f08c9 100755
--- a/man/cluster_hits.Rd
+++ b/man/cluster_hits.Rd
@@ -24,54 +24,54 @@ cluster_hits(
 )
 }
 \arguments{
-\item{splineomics}{An S3 object of class `SplineOmics` that contains all the 
+\item{splineomics}{An S3 object of class `SplineOmics` that contains all the
 necessary data and parameters for the analysis, including:
 \itemize{
-  \item \code{data}: The original expression dataset used for differential 
+  \item \code{data}: The original expression dataset used for differential
   expression analysis.
-  \item \code{meta}: A dataframe containing metadata corresponding to the 
-  \code{data}, must include a 'Time' column and any columns specified by 
+  \item \code{meta}: A dataframe containing metadata corresponding to the
+  \code{data}, must include a 'Time' column and any columns specified by
   \code{conditions}.
-  \item \code{design}: A character of length 1 representing the limma 
+  \item \code{design}: A character of length 1 representing the limma
   design formula.
-  \item \code{condition}: Character of length 1 specifying the column name 
+  \item \code{condition}: Character of length 1 specifying the column name
   in \code{meta} used to define groups for analysis.
   \item \code{spline_params}: A list of spline parameters for the analysis.
-  \item \code{meta_batch_column}: A character string specifying the column 
+  \item \code{meta_batch_column}: A character string specifying the column
   name in the metadata used for batch effect removal.
-  \item \code{meta_batch2_column}: A character string specifying the second 
+  \item \code{meta_batch2_column}: A character string specifying the second
   column name in the metadata used for batch effect removal.
   \item \code{limma_splines_result}: A list of data frames, each representing
-   a top table from differential expression analysis, containing at least 
+   a top table from differential expression analysis, containing at least
    'adj.P.Val' and expression data columns.
 }}
 
 \item{clusters}{Character or integer vector specifying the number of clusters}
 
-\item{adj_pthresholds}{Numeric vector of p-value thresholds for filtering 
+\item{adj_pthresholds}{Numeric vector of p-value thresholds for filtering
 hits in each top table.}
 
 \item{adj_pthresh_avrg_diff_conditions}{p-value threshold for the results
 from the average difference of the condition limma result. Per default 0 (
 turned off).}
 
-\item{adj_pthresh_interaction_condition_time}{p-value threshold for the 
-results from the interaction of condition and time limma result. Per default 
+\item{adj_pthresh_interaction_condition_time}{p-value threshold for the
+results from the interaction of condition and time limma result. Per default
 0 (turned off).}
 
 \item{genes}{A character vector containing the gene names of the features to
 be analyzed.}
 
-\item{plot_info}{List containing the elements y_axis_label (string), 
+\item{plot_info}{List containing the elements y_axis_label (string),
 time_unit (string), treatment_labels (character vector),
-treatment_timepoints (integer vector). All can also be NA. 
-This list is used to add this info to the spline plots. 
+treatment_timepoints (integer vector). All can also be NA.
+This list is used to add this info to the spline plots.
 time_unit is used to label the x-axis, and treatment_labels
 and -timepoints are used to create vertical dashed lines,
-indicating the positions of the treatments (such as 
+indicating the positions of the treatments (such as
 feeding, temperature shift, etc.).}
 
-\item{plot_options}{List with specific fields (cluster_heatmap_columns = 
+\item{plot_options}{List with specific fields (cluster_heatmap_columns =
 Bool) that allow for customization of plotting behavior.}
 
 \item{report_dir}{Character string specifying the directory path where the
diff --git a/man/control_inputs_extract_data.Rd b/man/control_inputs_extract_data.Rd
index 04012ea..dfc40c9 100755
--- a/man/control_inputs_extract_data.Rd
+++ b/man/control_inputs_extract_data.Rd
@@ -9,22 +9,22 @@ control_inputs_extract_data(data, feature_name_columns)
 \arguments{
 \item{data}{A dataframe containing the input data.}
 
-\item{feature_name_columns}{A character vector specifying the names of the 
+\item{feature_name_columns}{A character vector specifying the names of the
 feature name columns. The columns must be present
-in the dataframe data. If `NA`, no column is 
+in the dataframe data. If `NA`, no column is
 checked.}
 }
 \description{
 This function checks the validity of input data and the feature name column.
-It ensures that the input data is a dataframe, the feature name column is 
+It ensures that the input data is a dataframe, the feature name column is
 specified correctly, and contains valid data.
 }
 \details{
 The function performs the following checks:
 - Ensures the input data is a dataframe.
-- Checks if the feature name column is a single string and exists in the 
+- Checks if the feature name column is a single string and exists in the
 data.
-- Ensures the specified feature name column does not contain only `NA` 
+- Ensures the specified feature name column does not contain only `NA`
 values.
 - Checks if the input dataframe is not empty.
 
diff --git a/man/create_enrichr_zip.Rd b/man/create_enrichr_zip.Rd
index 51640fe..a1842d8 100755
--- a/man/create_enrichr_zip.Rd
+++ b/man/create_enrichr_zip.Rd
@@ -7,21 +7,21 @@
 create_enrichr_zip(enrichr_format)
 }
 \arguments{
-\item{enrichr_format}{A list with the formatted gene lists and background 
+\item{enrichr_format}{A list with the formatted gene lists and background
 gene list, typically the output of `prepare_gene_lists_for_enrichr`.}
 }
 \value{
 A base64-encoded string representing the ZIP file.
 }
 \description{
-This function creates a ZIP file containing directories for each level of 
-gene lists. Each directory contains text files for each cluster. The ZIP file 
+This function creates a ZIP file containing directories for each level of
+gene lists. Each directory contains text files for each cluster. The ZIP file
 is then encoded to base64 for easy download.
 }
 \details{
-The function creates a temporary directory to store the files. For each level 
-in the `enrichr_format$gene_lists`, it creates a directory named after the 
-level. Within each level directory, it creates a text file for each cluster, 
-containing the genes in that cluster. The directories and files are added 
+The function creates a temporary directory to store the files. For each level
+in the `enrichr_format$gene_lists`, it creates a directory named after the
+level. Within each level directory, it creates a text file for each cluster,
+containing the genes in that cluster. The directories and files are added
 to a ZIP file, which is then encoded to base64.
 }
diff --git a/man/create_limma_report.Rd b/man/create_limma_report.Rd
index 53852cd..218930d 100755
--- a/man/create_limma_report.Rd
+++ b/man/create_limma_report.Rd
@@ -7,7 +7,7 @@
 create_limma_report(splineomics, adj_pthresh = 0.05, report_dir = here::here())
 }
 \arguments{
-\item{splineomics}{An S3 object of class `SplineOmics` that contains all the 
+\item{splineomics}{An S3 object of class `SplineOmics` that contains all the
 necessary data and parameters for the analysis, including:
 \itemize{
   \item \code{limma_splines_result}: A list containing top tables from
@@ -15,30 +15,30 @@ necessary data and parameters for the analysis, including:
   \item \code{meta}: A data frame with sample metadata. Must contain a column
                      "Time".
   \item \code{condition}: A character string specifying the column name in
-                         the metadata (\code{meta}) that defines groups 
+                         the metadata (\code{meta}) that defines groups
                          for analysis. This column contains levels such as
-                          "exponential" and "stationary" for phases, or 
+                          "exponential" and "stationary" for phases, or
                           "drug" and "no_drug" for treatments.
-  \item \code{annotation}: A data frame containing feature information, 
-                           such as gene and protein names, associated with 
+  \item \code{annotation}: A data frame containing feature information,
+                           such as gene and protein names, associated with
                            the expression data.
-  \item \code{report_info}: A list containing metadata about the analysis 
+  \item \code{report_info}: A list containing metadata about the analysis
                             for reporting purposes.
 }}
 
-\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold 
+\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold
 for significance. Default is 0.05. Must be > 0 and < 1.}
 
-\item{report_dir}{A string specifying the directory where the report should 
+\item{report_dir}{A string specifying the directory where the report should
 be saved. Default is the current working directory.}
 }
 \value{
 A list of plots included in the generated HTML report.
 }
 \description{
-Generates an HTML report based on the results of a limma analysis with 
-splines. 
-The report includes various plots and sections summarizing the analysis 
-results for time effects, average differences between conditions, 
+Generates an HTML report based on the results of a limma analysis with
+splines.
+The report includes various plots and sections summarizing the analysis
+results for time effects, average differences between conditions,
 and interaction effects between condition and time.
 }
diff --git a/man/create_progress_bar.Rd b/man/create_progress_bar.Rd
index 5cf84f1..afe0852 100755
--- a/man/create_progress_bar.Rd
+++ b/man/create_progress_bar.Rd
@@ -2,17 +2,17 @@
 % Please edit documentation in R/utils_general.R
 \name{create_progress_bar}
 \alias{create_progress_bar}
-\title{utils scripts contains shared functions that are used by at least two package 
+\title{utils scripts contains shared functions that are used by at least two package
 functions of the SplineOmics package.
 Create Progress Bar}
 \usage{
 create_progress_bar(iterable, message = "Processing")
 }
 \arguments{
-\item{iterable}{An iterable object (e.g., list or vector) whose length 
+\item{iterable}{An iterable object (e.g., list or vector) whose length
 determines the total number of steps.}
 
-\item{message}{A message to display with the progress bar 
+\item{message}{A message to display with the progress bar
 (default is "Processing").}
 }
 \value{
diff --git a/man/create_spline_params.Rd b/man/create_spline_params.Rd
index 1fffeba..a3d7cc9 100755
--- a/man/create_spline_params.Rd
+++ b/man/create_spline_params.Rd
@@ -21,7 +21,7 @@ create_spline_params(spline_test_configs, index, meta, condition, mode)
 A list of processed spline parameters.
 }
 \description{
-Generates spline parameters based on the configuration, metadata, condition, 
+Generates spline parameters based on the configuration, metadata, condition,
 and mode.
 }
 \seealso{
diff --git a/man/create_splineomics.Rd b/man/create_splineomics.Rd
index 49d3d97..4a59ab4 100755
--- a/man/create_splineomics.Rd
+++ b/man/create_splineomics.Rd
@@ -15,6 +15,7 @@ create_splineomics(
   meta_batch2_column = NULL,
   feature_name_columns = NULL,
   design = NULL,
+  dream_params = NULL,
   mode = NULL,
   spline_params = NULL,
   padjust_method = "BH"
@@ -22,7 +23,7 @@ create_splineomics(
 }
 \arguments{
 \item{data}{The actual omics data. In the case the rna_seq_data argument is
-used, still provide this argument. In that case, input the data matrix in 
+used, still provide this argument. In that case, input the data matrix in
 here (for example the $E part of the voom object). Assign your feature names
 as row headers (otherwise, just numbers will be your feature names).}
 
@@ -30,54 +31,54 @@ as row headers (otherwise, just numbers will be your feature names).}
 
 \item{condition}{A condition variable.}
 
-\item{rna_seq_data}{An object containing the preprocessed RNA-seq data, 
-such as the output from `limma::voom` or a similar preprocessing pipeline. 
+\item{rna_seq_data}{An object containing the preprocessed RNA-seq data,
+such as the output from `limma::voom` or a similar preprocessing pipeline.
 This argument is not controlled by any function of the `SplineOmics` package.
 Rather, in that regard it relies on the input control from the `limma::lmfit`
 function.}
 
-\item{annotation}{A dataframe with the feature descriptions of data 
+\item{annotation}{A dataframe with the feature descriptions of data
 (optional).}
 
-\item{report_info}{A list containing report information such as omics data 
-type, data description, data collection date, analyst name, contact info, 
+\item{report_info}{A list containing report information such as omics data
+type, data description, data collection date, analyst name, contact info,
 and project name (optional).}
 
 \item{meta_batch_column}{Column for meta batch information (optional).}
 
-\item{meta_batch2_column}{Column for secondary meta batch information 
+\item{meta_batch2_column}{Column for secondary meta batch information
 (optional).}
 
-\item{feature_name_columns}{Character vector containing the column names of 
+\item{feature_name_columns}{Character vector containing the column names of
 the annotation info that describe the features.
-This argument is used to specify in the HTML 
+This argument is used to specify in the HTML
 report how exactly the feature names displayed
 above each individual spline plot have been
-created. Use the same vector that was used to 
+created. Use the same vector that was used to
 create the row headers for the data matrix!}
 
 \item{design}{A design matrix or similar object (optional).}
 
-\item{mode}{For the design formula, you must specify either 'isolated' or 
-'integrated'. Isolated means limma determines the results for each level 
+\item{mode}{For the design formula, you must specify either 'isolated' or
+'integrated'. Isolated means limma determines the results for each level
 using only the data from that level. Integrated means limma determines the
  results for all levels using the full dataset (from all levels).}
 
 \item{spline_params}{Parameters for spline functions (optional). Must contain
 the named elements spline_type, which must contain either the string "n" for
 natural cubic splines, or "b", for B-splines, the named element degree in the
-case of B-splines, that must contain only an integer, and the named element 
+case of B-splines, that must contain only an integer, and the named element
 dof, specifying the degree of freedom, containing an integer and required
 both for natural and B-splines.}
 
-\item{padjust_method}{Method for p-value adjustment, one of "none", "BH", 
-"BY", "holm", "bonferroni", "hochberg", or "hommel". 
+\item{padjust_method}{Method for p-value adjustment, one of "none", "BH",
+"BY", "holm", "bonferroni", "hochberg", or "hommel".
 Defaults to "BH" (Benjamini-Hochberg).}
 }
 \value{
 A SplineOmics object.
 }
 \description{
-Creates a SplineOmics object containing variables that are commonly used 
+Creates a SplineOmics object containing variables that are commonly used
 across multiple functions in the package.
 }
diff --git a/man/create_volcano_plot.Rd b/man/create_volcano_plot.Rd
index 5aa265e..83a1281 100755
--- a/man/create_volcano_plot.Rd
+++ b/man/create_volcano_plot.Rd
@@ -7,18 +7,18 @@
 create_volcano_plot(top_table, adj_pthresh, compared_levels)
 }
 \arguments{
-\item{top_table}{A data frame from limma containing 'logFC' and 'adj.P.Val' 
+\item{top_table}{A data frame from limma containing 'logFC' and 'adj.P.Val'
 columns.}
 
 \item{adj_pthresh}{A numeric value for the adjusted p-value threshold.}
 
-\item{compared_levels}{A character vector of length 2 specifying the 
+\item{compared_levels}{A character vector of length 2 specifying the
 compared levels.}
 }
 \value{
 A ggplot object representing the volcano plot.
 }
 \description{
-This function creates a volcano plot from a limma top table, plotting 
+This function creates a volcano plot from a limma top table, plotting
 log fold changes against the negative log10 of adjusted p-values.
 }
diff --git a/man/define_html_styles.Rd b/man/define_html_styles.Rd
index c8ce85d..31f58ee 100755
--- a/man/define_html_styles.Rd
+++ b/man/define_html_styles.Rd
@@ -10,6 +10,6 @@ define_html_styles()
 A list containing the styles for section headers and TOC entries.
 }
 \description{
-Defines the CSS styles for section headers and Table of Contents (TOC) 
+Defines the CSS styles for section headers and Table of Contents (TOC)
 entries used in the GSEA report generation.
 }
diff --git a/man/design2design_matrix.Rd b/man/design2design_matrix.Rd
index 8bcd4e1..8d6b4d2 100755
--- a/man/design2design_matrix.Rd
+++ b/man/design2design_matrix.Rd
@@ -9,22 +9,22 @@ design2design_matrix(meta, spline_params, level_index, design)
 \arguments{
 \item{meta}{A dataframe containing the metadata, including the time column.}
 
-\item{spline_params}{A list containing the spline parameters. This list can 
-include `dof` (degrees of freedom), `knots`, `bknots` (boundary knots), 
+\item{spline_params}{A list containing the spline parameters. This list can
+include `dof` (degrees of freedom), `knots`, `bknots` (boundary knots),
 `spline_type`, and `degree`.}
 
-\item{level_index}{An integer representing the current level index for which 
+\item{level_index}{An integer representing the current level index for which
 the design matrix is being generated.}
 
-\item{design}{A character string representing the design formula to be used 
+\item{design}{A character string representing the design formula to be used
 for generating the model matrix.}
 }
 \value{
-A design matrix constructed using the specified spline parameters and 
+A design matrix constructed using the specified spline parameters and
 design formula.
 }
 \description{
-This function generates a design matrix using spline parameters and metadata. 
-It accommodates both B-splines and natural cubic splines based on the provided 
+This function generates a design matrix using spline parameters and metadata.
+It accommodates both B-splines and natural cubic splines based on the provided
 spline type and parameters.
 }
diff --git a/man/download_enrichr_databases.Rd b/man/download_enrichr_databases.Rd
index 0a7570b..b55cb00 100755
--- a/man/download_enrichr_databases.Rd
+++ b/man/download_enrichr_databases.Rd
@@ -11,7 +11,7 @@ download_enrichr_databases(
 )
 }
 \arguments{
-\item{gene_set_lib}{A character vector of database names to download from 
+\item{gene_set_lib}{A character vector of database names to download from
 Enrichr.}
 
 \item{output_dir}{A character string specifying the output directory
@@ -23,12 +23,12 @@ present in some terms, .tsv is recommendet). When ommited,
 the file is named all_databases_{timestamp}.tsv.}
 }
 \value{
-This function does not return a value but saves a .tsv file in the 
-        specified directory containing the gene sets from the specified 
+This function does not return a value but saves a .tsv file in the
+        specified directory containing the gene sets from the specified
         Enrichr databases.
 }
 \description{
 This function downloads gene sets from specified Enrichr databases and saves
- them to a specified output directory as a .tsv file. The file is named with 
+ them to a specified output directory as a .tsv file. The file is named with
  a timestamp to ensure uniqueness.
 }
diff --git a/man/encode_df_to_base64.Rd b/man/encode_df_to_base64.Rd
index 62c0a4e..b899b07 100755
--- a/man/encode_df_to_base64.Rd
+++ b/man/encode_df_to_base64.Rd
@@ -17,8 +17,8 @@ names based on the report_type.}
 A character string containing the base64 encoded CSV data.
 }
 \description{
-This function takes a dataframe as input and returns a base64 encoded 
-CSV object. The encoded object can be embedded into an HTML document 
-directly, with a button to download the file without pointing to a 
+This function takes a dataframe as input and returns a base64 encoded
+CSV object. The encoded object can be embedded into an HTML document
+directly, with a button to download the file without pointing to a
 local file.
 }
diff --git a/man/enrichr_get_genesets.Rd b/man/enrichr_get_genesets.Rd
index 5652620..b7efb64 100755
--- a/man/enrichr_get_genesets.Rd
+++ b/man/enrichr_get_genesets.Rd
@@ -7,12 +7,12 @@
 enrichr_get_genesets(databases)
 }
 \arguments{
-\item{databases}{A character vector of database names to download from 
+\item{databases}{A character vector of database names to download from
 Enrichr.}
 }
 \value{
 A named list of gene sets from the specified Enrichr databases. Each
-        database is represented as a list, with gene set names as list 
+        database is represented as a list, with gene set names as list
         names and vectors of human gene symbols as list elements.
 }
 \description{
diff --git a/man/explore_data.Rd b/man/explore_data.Rd
index fb2b208..c030262 100755
--- a/man/explore_data.Rd
+++ b/man/explore_data.Rd
@@ -7,7 +7,7 @@
 explore_data(splineomics, report_dir = here::here(), report = TRUE)
 }
 \arguments{
-\item{splineomics}{A SplineOmics object, containing the data, meta, 
+\item{splineomics}{A SplineOmics object, containing the data, meta,
 condition, report_info, meta_batch_column, and
 meta_batch2_column;}
 
@@ -22,7 +22,7 @@ argument can be set to FALSE.}
 A list of ggplot objects representing various exploratory plots.
 }
 \description{
-This function takes a data matrix, checks its validity, and generates a list 
-of exploratory plots including density plots, boxplots, PCA plots, MDS plots, 
+This function takes a data matrix, checks its validity, and generates a list
+of exploratory plots including density plots, boxplots, PCA plots, MDS plots,
 variance explained plots, and violin plots.
 }
diff --git a/man/extract_data.Rd b/man/extract_data.Rd
index 2dd39d9..086959d 100755
--- a/man/extract_data.Rd
+++ b/man/extract_data.Rd
@@ -2,34 +2,34 @@
 % Please edit documentation in R/extract_data.R
 \name{extract_data}
 \alias{extract_data}
-\title{extract_data.R contains the exported package function extract_data. This 
+\title{extract_data.R contains the exported package function extract_data. This
 function automatically recognises the data field in a table and returns the
-data matrix, that serves as input for the other functions of this package. 
+data matrix, that serves as input for the other functions of this package.
 This is for convenience only.
 Extract Numeric Matrix from Dataframe}
 \usage{
 extract_data(data, feature_name_columns = NA, user_prompt = TRUE)
 }
 \arguments{
-\item{data}{A dataframe loaded from a tabular file, potentially containing a 
+\item{data}{A dataframe loaded from a tabular file, potentially containing a
 rectangular or quadratic area with numeric data amidst other values.}
 
 \item{feature_name_columns}{(Optional) A character vector, specifying the
-columns of the dataframe data, that should be 
+columns of the dataframe data, that should be
 used to construct the feature names. If ommited,
 the feature names are just numbers (stored as
 characters) starting from 1 (1, 2, 3, etc.)}
 
-\item{user_prompt}{Boolean specifying whether the user prompt about the 
+\item{user_prompt}{Boolean specifying whether the user prompt about the
 correct format of the input data should be shown.}
 }
 \value{
 A numeric matrix with row headers and appropriate column names.
 }
 \description{
-This function takes a dataframe and identifies a rectangular or quadratic 
-area containing numeric data, starting from the first occurrence of a 
-6x6 block of numeric values. It then extracts this area into a matrix, 
-ensuring that each row contains only numeric values. Rows with any NA values 
+This function takes a dataframe and identifies a rectangular or quadratic
+area containing numeric data, starting from the first occurrence of a
+6x6 block of numeric values. It then extracts this area into a matrix,
+ensuring that each row contains only numeric values. Rows with any NA values
 are removed from the resulting matrix.
 }
diff --git a/man/format_text.Rd b/man/format_text.Rd
index cdd1052..42bb841 100755
--- a/man/format_text.Rd
+++ b/man/format_text.Rd
@@ -14,7 +14,7 @@ A character vector with formatted text containing line breaks.
 }
 \description{
 This function takes a character vector `text` and splits it into individual
-characters. It then iterates over the characters and builds lines not 
+characters. It then iterates over the characters and builds lines not
 exceeding
 a specified character limit (default 70). Newlines are inserted between lines
 using the `<br>` tag, suitable for HTML display.
diff --git a/man/gen_composite_spline_plots.Rd b/man/gen_composite_spline_plots.Rd
index a2ba506..d4a908c 100755
--- a/man/gen_composite_spline_plots.Rd
+++ b/man/gen_composite_spline_plots.Rd
@@ -21,16 +21,16 @@ gen_composite_spline_plots(
 
 \item{spline_test_configs}{A configuration object for spline tests.}
 
-\item{time_unit_label}{A character string specifying the time unit label 
+\item{time_unit_label}{A character string specifying the time unit label
 for plots.}
 }
 \value{
 A list containing the composite spline plots and their lengths.
 }
 \description{
-Creates composite spline plots for significant and non-significant features 
+Creates composite spline plots for significant and non-significant features
 across multiple levels within a condition.
-One half of one condition comparison HTML 
+One half of one condition comparison HTML
 (composite spline plots for one 'condition' inside one condition comparison)
 }
 \seealso{
diff --git a/man/gen_hitcomp_plots.Rd b/man/gen_hitcomp_plots.Rd
index 0519164..f33ea33 100755
--- a/man/gen_hitcomp_plots.Rd
+++ b/man/gen_hitcomp_plots.Rd
@@ -10,14 +10,14 @@ gen_hitcomp_plots(combo_pair)
 \item{combo_pair}{A list containing two combinations of top tables.}
 }
 \value{
-A list containing the Venn heatmap plot, the number of hits divided 
+A list containing the Venn heatmap plot, the number of hits divided
 by 16, the barplot, and a length indicator for the barplot.
 }
 \description{
-Generates Venn heatmap and barplot for a given combination pair of top 
+Generates Venn heatmap and barplot for a given combination pair of top
 tables.
 }
 \seealso{
-\code{\link{hc_new}}, \code{\link{hc_add}}, \code{\link{hc_vennheatmap}}, 
+\code{\link{hc_new}}, \code{\link{hc_add}}, \code{\link{hc_vennheatmap}},
 \code{\link{hc_barplot}}
 }
diff --git a/man/generate_and_write_html.Rd b/man/generate_and_write_html.Rd
index 031f3d9..c81ddd8 100755
--- a/man/generate_and_write_html.Rd
+++ b/man/generate_and_write_html.Rd
@@ -9,17 +9,17 @@ generate_and_write_html(toc, html_content, report_info, output_file_path)
 \arguments{
 \item{toc}{A string containing the table of contents in HTML format.}
 
-\item{html_content}{A string containing the main HTML content with a 
+\item{html_content}{A string containing the main HTML content with a
 placeholder for the table of contents.}
 
-\item{report_info}{A list containing report information such as 
+\item{report_info}{A list containing report information such as
 `contact_info` and `analyst_name`.}
 
-\item{output_file_path}{A string specifying the path where the final 
+\item{output_file_path}{A string specifying the path where the final
 HTML file will be written.}
 }
 \description{
 This function generates an HTML report by inserting a table of contents,
-embedding necessary JavaScript files, and writing the final HTML content 
+embedding necessary JavaScript files, and writing the final HTML content
 to a specified output file.
 }
diff --git a/man/generate_avrg_diff_plots.Rd b/man/generate_avrg_diff_plots.Rd
index 303305f..9c03685 100755
--- a/man/generate_avrg_diff_plots.Rd
+++ b/man/generate_avrg_diff_plots.Rd
@@ -7,18 +7,18 @@
 generate_avrg_diff_plots(avrg_diff_conditions, adj_pthresh)
 }
 \arguments{
-\item{avrg_diff_conditions}{A list of top tables from the LIMMA analysis 
+\item{avrg_diff_conditions}{A list of top tables from the LIMMA analysis
 representing the average difference between conditions.}
 
-\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold 
+\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold
 for significance.}
 }
 \value{
-A list containing the plots and their sizes, as well as the 
+A list containing the plots and their sizes, as well as the
 section header information.
 }
 \description{
-Creates p-value histograms and volcano plots for each condition in the 
-average difference conditions. This function is used internally in the 
+Creates p-value histograms and volcano plots for each condition in the
+average difference conditions. This function is used internally in the
 `create_limma_report` function.
 }
diff --git a/man/generate_explore_plots.Rd b/man/generate_explore_plots.Rd
index e91e706..7ac9aee 100755
--- a/man/generate_explore_plots.Rd
+++ b/man/generate_explore_plots.Rd
@@ -11,19 +11,19 @@ generate_explore_plots(data, meta, condition)
 
 \item{meta}{A data frame containing metadata associated with the data.}
 
-\item{condition}{A string specifying the column in the metadata that contains 
+\item{condition}{A string specifying the column in the metadata that contains
 the condition or grouping variable.}
 }
 \value{
 A list containing two elements:
 \describe{
   \item{plots}{A list of ggplot objects representing the generated plots.}
-  \item{plots_sizes}{A vector of numeric values indicating the sizes of the 
+  \item{plots_sizes}{A vector of numeric values indicating the sizes of the
   corresponding plots.}
 }
 }
 \description{
-This function generates various exploratory plots including density plots, 
-box plots, violin plots, PCA plots, and correlation heatmaps based on the 
+This function generates various exploratory plots including density plots,
+box plots, violin plots, PCA plots, and correlation heatmaps based on the
 provided data and metadata.
 }
diff --git a/man/generate_interaction_plots.Rd b/man/generate_interaction_plots.Rd
index bca0ec1..79f8428 100755
--- a/man/generate_interaction_plots.Rd
+++ b/man/generate_interaction_plots.Rd
@@ -7,19 +7,19 @@
 generate_interaction_plots(interaction_condition_time, adj_pthresh)
 }
 \arguments{
-\item{interaction_condition_time}{A list of top tables from the LIMMA 
-analysis 
+\item{interaction_condition_time}{A list of top tables from the LIMMA
+analysis
 representing the interaction effects between condition and time.}
 
-\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold 
+\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold
 for significance.}
 }
 \value{
-A list containing the plots and their sizes, as well as the 
+A list containing the plots and their sizes, as well as the
 section header information.
 }
 \description{
-Creates p-value histograms for each interaction condition in the 
-interaction of condition and time. This function is used internally in the 
+Creates p-value histograms for each interaction condition in the
+interaction of condition and time. This function is used internally in the
 `create_limma_report` function.
 }
diff --git a/man/generate_report_html.Rd b/man/generate_report_html.Rd
index db88811..5af3612 100755
--- a/man/generate_report_html.Rd
+++ b/man/generate_report_html.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/utils_report_generation.R
 \name{generate_report_html}
 \alias{generate_report_html}
-\title{utils scripts contains shared functions that are used by at least two package 
+\title{utils scripts contains shared functions that are used by at least two package
 functions of the SplineOmics package. The level separation is only valid
 internally in this script, and has no connection to the script level of the
 respective exported functions scripts.
@@ -64,20 +64,20 @@ for each level.}
 
 \item{adj_pthresh_interaction_condition_time}{Float, only for cluster_hits()}
 
-\item{report_type}{A character string specifying the report type 
+\item{report_type}{A character string specifying the report type
 ('screen_limma_hyperparams' or 'cluster_hits').}
 
 \item{feature_name_columns}{Character vector with the column names of the
-annotation information, such as the columns 
+annotation information, such as the columns
 containing the gene names. These column names
 are used to put the info in the HTML reports on
 how the descriptions above the individual spline
-plots where created. This is because those 
+plots where created. This is because those
 descriptions can be made up of several column
 values, and the specific columns are then stated
 in the HTML report on top (e.g gene_uniprotID).}
 
-\item{mode}{A character string specifying the mode 
+\item{mode}{A character string specifying the mode
 ('isolated' or 'integrated').}
 
 \item{filename}{A character string specifying the filename for the report.}
@@ -90,10 +90,10 @@ in the HTML report on top (e.g gene_uniprotID).}
 No return value, called for side effects.
 }
 \description{
-Generates an HTML report with the provided plots, spline parameters, and 
+Generates an HTML report with the provided plots, spline parameters, and
 report information.
 }
 \seealso{
-\code{\link{build_hyperparams_screen_report}}, 
+\code{\link{build_hyperparams_screen_report}},
 \code{\link{build_cluster_hits_report}}
 }
diff --git a/man/generate_reports_meta.Rd b/man/generate_reports_meta.Rd
index ccc994d..3e26eda 100755
--- a/man/generate_reports_meta.Rd
+++ b/man/generate_reports_meta.Rd
@@ -30,6 +30,6 @@ generate_reports_meta(
 No return value, called for side effects.
 }
 \description{
-Generates a metadata table for the LIMMA hyperparameter screen reports and 
+Generates a metadata table for the LIMMA hyperparameter screen reports and
 saves it as an HTML file with custom styling.
 }
diff --git a/man/generate_spline_comparisons.Rd b/man/generate_spline_comparisons.Rd
index 5e2047a..25cf114 100755
--- a/man/generate_spline_comparisons.Rd
+++ b/man/generate_spline_comparisons.Rd
@@ -17,12 +17,12 @@ generate_spline_comparisons(
 }
 \arguments{
 \item{splineomics}{A list containing the splineomics results, including
- time effects, 
-average difference between conditions, and interaction between condition 
+ time effects,
+average difference between conditions, and interaction between condition
 and time.}
 
-\item{all_levels_clustering}{A list containing the X matrices for each 
-condition, used 
+\item{all_levels_clustering}{A list containing the X matrices for each
+condition, used
 for spline fitting.}
 
 \item{data}{The data matrix containing the measurements.}
@@ -33,15 +33,15 @@ the condition.}
 \item{condition}{Column name of meta that contains the levels of the
 experiment.}
 
-\item{plot_info}{A list containing plotting information such as time unit 
+\item{plot_info}{A list containing plotting information such as time unit
 and axis labels.}
 
 \item{adj_pthresh_avrg_diff_conditions}{The adjusted p-value threshold for
- the average 
+ the average
 difference between conditions.}
 
-\item{adj_pthresh_interaction}{The adjusted p-value threshold for the 
-interaction 
+\item{adj_pthresh_interaction}{The adjusted p-value threshold for the
+interaction
 between condition and time.}
 }
 \value{
@@ -49,10 +49,10 @@ A list of lists containing the comparison plots and feature names
         for each condition pair.
 }
 \description{
-This function generates spline comparison plots for all pairwise 
-combinations of conditions in the metadata. For each condition pair, it 
-compares the time effects of two conditions, plots the data points, and 
-overlays the fitted spline curves. The function only generates plots if 
-the adjusted p-values for the average difference between conditions and the 
+This function generates spline comparison plots for all pairwise
+combinations of conditions in the metadata. For each condition pair, it
+compares the time effects of two conditions, plots the data points, and
+overlays the fitted spline curves. The function only generates plots if
+the adjusted p-values for the average difference between conditions and the
 interaction between condition and time are below the specified thresholds.
 }
diff --git a/man/generate_time_effect_plots.Rd b/man/generate_time_effect_plots.Rd
index 0ce1cd1..901537c 100755
--- a/man/generate_time_effect_plots.Rd
+++ b/man/generate_time_effect_plots.Rd
@@ -7,17 +7,17 @@
 generate_time_effect_plots(time_effect, adj_pthresh)
 }
 \arguments{
-\item{time_effect}{A list of top tables from the LIMMA analysis representing 
+\item{time_effect}{A list of top tables from the LIMMA analysis representing
 the time effects.}
 
-\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold 
+\item{adj_pthresh}{A numeric value specifying the adjusted p-value threshold
 for significance.}
 }
 \value{
-A list containing the plots and their sizes, as well as the 
+A list containing the plots and their sizes, as well as the
 section header information.
 }
 \description{
-Creates p-value histograms for each time effect in the LIMMA analysis. This 
+Creates p-value histograms for each time effect in the LIMMA analysis. This
 function is used internally in the `create_limma_report` function.
 }
diff --git a/man/get_header_section.Rd b/man/get_header_section.Rd
index 8d2b4dd..ac15979 100755
--- a/man/get_header_section.Rd
+++ b/man/get_header_section.Rd
@@ -9,13 +9,13 @@ get_header_section(title, header_text, report_type, feature_names_formula)
 \arguments{
 \item{title}{A string specifying the title of the HTML document.}
 
-\item{header_text}{A string specifying the text to be displayed in the 
+\item{header_text}{A string specifying the text to be displayed in the
 header of the report.}
 
 \item{report_type}{A character specifying the type of HTML report.}
 
-\item{feature_names_formula}{String describing which columns of the 
-annotation info, such as gene and uniprotID, 
+\item{feature_names_formula}{String describing which columns of the
+annotation info, such as gene and uniprotID,
 where used to construct the description above
 the individual spline plots. This is placed in
 the beginning of the output HTML reports.}
@@ -24,14 +24,14 @@ the beginning of the output HTML reports.}
 A string containing the HTML header section.
 }
 \description{
-Generates the HTML header section for a report, including the title, header 
-text, and logo. This section also includes the styling for the table and 
+Generates the HTML header section for a report, including the title, header
+text, and logo. This section also includes the styling for the table and
 other HTML elements.
 }
 \details{
-The function checks the `DEVTOOLS_LOAD` environment variable to determine 
-the path to the logo image. The logo image is then converted to a base64 
-data URI and included in the HTML. The header section includes styles for 
-tables, table cells, and header elements to ensure proper formatting and 
+The function checks the `DEVTOOLS_LOAD` environment variable to determine
+the path to the logo image. The logo image is then converted to a base64
+data URI and included in the HTML. The header section includes styles for
+tables, table cells, and header elements to ensure proper formatting and
 alignment.
 }
diff --git a/man/get_level_hit_indices.Rd b/man/get_level_hit_indices.Rd
index 0bdda0f..113b53a 100755
--- a/man/get_level_hit_indices.Rd
+++ b/man/get_level_hit_indices.Rd
@@ -7,27 +7,27 @@
 get_level_hit_indices(between_level_top_tables, level, adj_pthresholds)
 }
 \arguments{
-\item{between_level_top_tables}{A list of data frames containing the 
+\item{between_level_top_tables}{A list of data frames containing the
 between-level top tables.}
 
-\item{level}{A string specifying the level to search for within the names 
+\item{level}{A string specifying the level to search for within the names
 of the data frames.}
 
-\item{adj_pthresholds}{A numeric vector of adjusted p-value thresholds for 
+\item{adj_pthresholds}{A numeric vector of adjusted p-value thresholds for
 each data frame in `between_level_top_tables`.}
 }
 \value{
-A vector of unique feature indices that meet the adjusted p-value 
+A vector of unique feature indices that meet the adjusted p-value
 threshold criteria for the specified level.
 }
 \description{
-This function retrieves unique feature indices from a list of between-level 
+This function retrieves unique feature indices from a list of between-level
 top tables for a specified level, based on adjusted p-value thresholds.
 }
 \details{
-The function iterates over each data frame in `between_level_top_tables`. For 
-each data frame whose name contains the specified level (case insensitive), 
-it identifies the rows where the adjusted p-value is below the corresponding 
-threshold. The function then extracts the feature indices from these rows and 
+The function iterates over each data frame in `between_level_top_tables`. For
+each data frame whose name contains the specified level (case insensitive),
+it identifies the rows where the adjusted p-value is below the corresponding
+threshold. The function then extracts the feature indices from these rows and
 compiles a unique list of these indices.
 }
diff --git a/man/get_limma_combos_results.Rd b/man/get_limma_combos_results.Rd
index f31e22d..e0e6093 100755
--- a/man/get_limma_combos_results.Rd
+++ b/man/get_limma_combos_results.Rd
@@ -37,14 +37,14 @@ derived from the limma::voom function.}
 
 \item{adj_pthresholds}{A numeric vector with elements > 0 and < 1.}
 
-\item{padjust_method}{A single character string specifying the p-adjustment 
+\item{padjust_method}{A single character string specifying the p-adjustment
 method.}
 }
 \value{
-A list of results for each combination of data, design, and spline 
+A list of results for each combination of data, design, and spline
 configuration.
 }
 \description{
-Computes results for various combinations of data, design matrices, and 
+Computes results for various combinations of data, design matrices, and
 spline configurations using the LIMMA method.
 }
diff --git a/man/hc_add.Rd b/man/hc_add.Rd
index 9adf108..2515984 100755
--- a/man/hc_add.Rd
+++ b/man/hc_add.Rd
@@ -11,10 +11,10 @@ hc_add(hc_obj, top_table, params_id, condition = 1, threshold = 0.05)
 
 \item{top_table}{A dataframe containing the top table data.}
 
-\item{params_id}{A character string identifying the parameters 
+\item{params_id}{A character string identifying the parameters
 (max length 70).}
 
-\item{condition}{An integer (1 or 2) specifying the condition to which the 
+\item{condition}{An integer (1 or 2) specifying the condition to which the
 data belongs.}
 
 \item{threshold}{A numeric value specifying the adjusted p-value threshold.}
diff --git a/man/hc_barplot.Rd b/man/hc_barplot.Rd
index e2c9420..861836e 100755
--- a/man/hc_barplot.Rd
+++ b/man/hc_barplot.Rd
@@ -7,14 +7,14 @@
 hc_barplot(hc_obj)
 }
 \arguments{
-\item{hc_obj}{An object of class "hitcomp" containing hit data for two 
+\item{hc_obj}{An object of class "hitcomp" containing hit data for two
 conditions.}
 }
 \value{
 A ggplot2 object representing the barplot.
 }
 \description{
-Creates a barplot to visualize the number of significant features for each 
+Creates a barplot to visualize the number of significant features for each
 parameter set in the hit comparison object.
 }
 \seealso{
diff --git a/man/hc_new.Rd b/man/hc_new.Rd
index b52e588..ff90c17 100755
--- a/man/hc_new.Rd
+++ b/man/hc_new.Rd
@@ -7,14 +7,14 @@
 hc_new(cond1name = "Condition 1", cond2name = "Condition 2")
 }
 \arguments{
-\item{cond1name}{A character string for the first condition name 
+\item{cond1name}{A character string for the first condition name
 (max length 25).}
 
-\item{cond2name}{A character string for the second condition name 
+\item{cond2name}{A character string for the second condition name
 (max length 25).}
 }
 \value{
-An object of class "hitcomp" containing empty data lists 
+An object of class "hitcomp" containing empty data lists
 and condition names.
 }
 \description{
diff --git a/man/hc_vennheatmap.Rd b/man/hc_vennheatmap.Rd
index d854295..e804382 100755
--- a/man/hc_vennheatmap.Rd
+++ b/man/hc_vennheatmap.Rd
@@ -7,14 +7,14 @@
 hc_vennheatmap(hc_obj)
 }
 \arguments{
-\item{hc_obj}{An object of class "hitcomp" containing hit data for two 
+\item{hc_obj}{An object of class "hitcomp" containing hit data for two
 conditions.}
 }
 \value{
 A list containing the Venn heatmap plot and the number of hits.
 }
 \description{
-Creates a Venn heatmap to visualize the overlap of hits between two 
+Creates a Venn heatmap to visualize the overlap of hits between two
 conditions stored in a hit comparison object.
 }
 \seealso{
diff --git a/man/huge_table_user_prompter.Rd b/man/huge_table_user_prompter.Rd
index 95871f6..8e4b003 100755
--- a/man/huge_table_user_prompter.Rd
+++ b/man/huge_table_user_prompter.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/cluster_hits.R
 \name{huge_table_user_prompter}
 \alias{huge_table_user_prompter}
-\title{Check if any table in a list has more than 300 rows and prompt user for 
+\title{Check if any table in a list has more than 300 rows and prompt user for
 input.}
 \usage{
 huge_table_user_prompter(tables)
@@ -11,7 +11,7 @@ huge_table_user_prompter(tables)
 \item{tables}{A list of data frames.}
 }
 \value{
-NULL. This function is used for its side effects (prompting the 
+NULL. This function is used for its side effects (prompting the
 user and potentially stopping the script).
 }
 \description{
diff --git a/man/is_not_na.Rd b/man/is_not_na.Rd
index 44f722d..231ff9c 100755
--- a/man/is_not_na.Rd
+++ b/man/is_not_na.Rd
@@ -10,7 +10,7 @@ is_not_na(x)
 \item{x}{An atomic vector or any other object.}
 }
 \value{
-TRUE if the vector contains at least one non-NA value or if the 
+TRUE if the vector contains at least one non-NA value or if the
 object is not atomic; FALSE otherwise.
 }
 \description{
diff --git a/man/make_clustering_report.Rd b/man/make_clustering_report.Rd
index 7457e9d..a1c1715 100755
--- a/man/make_clustering_report.Rd
+++ b/man/make_clustering_report.Rd
@@ -44,7 +44,7 @@ such as gene and uniprotID, for example.}
 
 \item{spline_params}{A list of spline parameters for the analysis.}
 
-\item{adj_pthresholds}{Numeric vector, containing a float < 1 > 0 as each 
+\item{adj_pthresholds}{Numeric vector, containing a float < 1 > 0 as each
 value. There is one float for every level, and this is
 the adj. p-value threshold.}
 
@@ -63,27 +63,27 @@ the adj. p-value threshold.}
 
 \item{meta_batch_column}{A character string specifying the meta batch column.}
 
-\item{meta_batch2_column}{A character string specifying the second meta 
+\item{meta_batch2_column}{A character string specifying the second meta
 batch column.}
 
-\item{plot_info}{List containing the elements y_axis_label (string), 
+\item{plot_info}{List containing the elements y_axis_label (string),
 time_unit (string), treatment_labels (character vector),
-treatment_timepoints (integer vector). All can also be NA. 
-This list is used to add this info to the spline plots. 
+treatment_timepoints (integer vector). All can also be NA.
+This list is used to add this info to the spline plots.
 time_unit is used to label the x-axis, and treatment_labels
 and -timepoints are used to create vertical dashed lines,
-indicating the positions of the treatments (such as 
+indicating the positions of the treatments (such as
 feeding, temperature shift, etc.).}
 
-\item{plot_options}{List with specific fields (cluster_heatmap_columns = 
+\item{plot_options}{List with specific fields (cluster_heatmap_columns =
 Bool) that allow for customization of plotting behavior.}
 
-\item{feature_name_columns}{Character vector containing the column names of 
+\item{feature_name_columns}{Character vector containing the column names of
 the annotation info that describe the features.
-This argument is used to specify in the HTML 
+This argument is used to specify in the HTML
 report how exactly the feature names displayed
 above each individual spline plot have been
-created. Use the same vector that was used to 
+created. Use the same vector that was used to
 create the row headers for the data matrix!}
 
 \item{spline_comp_plots}{List containing the list of lists with all
diff --git a/man/make_correlation_heatmaps.Rd b/man/make_correlation_heatmaps.Rd
index 1a3cd58..88b561e 100755
--- a/man/make_correlation_heatmaps.Rd
+++ b/man/make_correlation_heatmaps.Rd
@@ -11,17 +11,17 @@ make_correlation_heatmaps(data, meta, condition)
 
 \item{meta}{A dataframe containing the metadata.}
 
-\item{condition}{The column name in the metadata dataframe that contains the 
+\item{condition}{The column name in the metadata dataframe that contains the
 factor levels for generating individual heatmaps.}
 }
 \value{
-A list of `ComplexHeatmap` heatmap objects representing the 
-correlation 
+A list of `ComplexHeatmap` heatmap objects representing the
+correlation
 heatmaps.
 }
 \description{
-This function generates correlation heatmaps using Spearman correlation for 
-a given data matrix. It creates a combined heatmap for all levels and 
-individual heatmaps for each level specified in the condition column of the 
+This function generates correlation heatmaps using Spearman correlation for
+a given data matrix. It creates a combined heatmap for all levels and
+individual heatmaps for each level specified in the condition column of the
 metadata.
 }
diff --git a/man/make_mds_plot.Rd b/man/make_mds_plot.Rd
index b45fc8f..8443dd5 100755
--- a/man/make_mds_plot.Rd
+++ b/man/make_mds_plot.Rd
@@ -11,14 +11,14 @@ make_mds_plot(data, meta, condition)
 
 \item{meta}{A dataframe, containign the meta information of data.}
 
-\item{condition}{The column of the meta dataframe containign the levels that 
+\item{condition}{The column of the meta dataframe containign the levels that
 separate the experiment.}
 }
 \value{
 A ggplot object representing the MDS plot.
 }
 \description{
-This function generates a multidimensional scaling (MDS) plot for a given 
-data matrix. The MDS plot visualizes the similarities or dissimilarities 
+This function generates a multidimensional scaling (MDS) plot for a given
+data matrix. The MDS plot visualizes the similarities or dissimilarities
 between samples in the data matrix.
 }
diff --git a/man/make_violin_box_plots.Rd b/man/make_violin_box_plots.Rd
index 0bca0c3..5f0ab99 100755
--- a/man/make_violin_box_plots.Rd
+++ b/man/make_violin_box_plots.Rd
@@ -17,7 +17,7 @@ make_violin_box_plots(data, meta, condition)
 A ggplot object representing the violin plot.
 }
 \description{
-This function generates a violin plot for a given data matrix. The violin 
-plot shows the distribution of the values in the data matrix across different 
+This function generates a violin plot for a given data matrix. The violin
+plot shows the distribution of the values in the data matrix across different
 variables, with each variable's distribution displayed as a separate violin.
 }
diff --git a/man/maybe_add_dashed_lines.Rd b/man/maybe_add_dashed_lines.Rd
index 70f7a27..6018d03 100755
--- a/man/maybe_add_dashed_lines.Rd
+++ b/man/maybe_add_dashed_lines.Rd
@@ -7,18 +7,18 @@
 maybe_add_dashed_lines(p, plot_info, level, y_pos = 1)
 }
 \arguments{
-\item{p}{A ggplot object. The plot to which dashed lines and labels 
+\item{p}{A ggplot object. The plot to which dashed lines and labels
 will be added.}
 
-\item{plot_info}{A list containing the treatment timepoints and 
-treatment labels. Treatment timepoints and labels can either be 
-unnamed elements or named lists where each element corresponds 
+\item{plot_info}{A list containing the treatment timepoints and
+treatment labels. Treatment timepoints and labels can either be
+unnamed elements or named lists where each element corresponds
 to a different `level`.}
 
-\item{level}{A character string. Used to extract the treatment 
+\item{level}{A character string. Used to extract the treatment
 timepoints and labels when they are stored in named lists.}
 
-\item{y_pos}{A numeric value specifying the y-axis position where 
+\item{y_pos}{A numeric value specifying the y-axis position where
 the text labels should be placed. Defaults to 1.}
 }
 \value{
@@ -27,9 +27,9 @@ A list containing:
 - `treatment_colors`: A named vector of colors used for the treatment labels.
 }
 \description{
-This internal function checks whether there are valid treatment 
-timepoints and labels in the `plot_info` list. If found, it adds 
+This internal function checks whether there are valid treatment
+timepoints and labels in the `plot_info` list. If found, it adds
 dashed vertical lines and their corresponding x-axis values to the plot.
-The treatment timepoints and labels can either be named lists (for 
+The treatment timepoints and labels can either be named lists (for
 multiple levels) or unnamed single elements.
 }
diff --git a/man/merge_annotation_all_levels_clustering.Rd b/man/merge_annotation_all_levels_clustering.Rd
index 2d0e7d2..efe95f6 100755
--- a/man/merge_annotation_all_levels_clustering.Rd
+++ b/man/merge_annotation_all_levels_clustering.Rd
@@ -16,7 +16,7 @@ dataframe with a `feature_nr` column. Some elements may be logical values.}
 \item{annotation}{A dataframe containing the annotation information.}
 }
 \value{
-A list with updated `top_table` dataframes containing merged 
+A list with updated `top_table` dataframes containing merged
 annotation information.
 }
 \description{
diff --git a/man/open_template.Rd b/man/open_template.Rd
index 7a485b3..1dfa8c7 100755
--- a/man/open_template.Rd
+++ b/man/open_template.Rd
@@ -6,8 +6,15 @@
 \usage{
 open_template()
 }
+\value{
+If successful, opens the `template.Rmd` file in RStudio for the user to
+interact with.
+If `rstudioapi` is not installed or available, or the template file is
+not found,
+an error is thrown with a corresponding message.
+}
 \description{
 This function opens the `template.Rmd` file in RStudio for
-interactive use. The template file provides a structure for users 
+interactive use. The template file provides a structure for users
 to quickly set up their personal analysis.
 }
diff --git a/man/open_tutorial.Rd b/man/open_tutorial.Rd
index 22deaea..9da5333 100755
--- a/man/open_tutorial.Rd
+++ b/man/open_tutorial.Rd
@@ -6,6 +6,13 @@
 \usage{
 open_tutorial()
 }
+\value{
+If successful, opens the `tutorial.Rmd` file in RStudio for the user to
+interact with.
+If `rstudioapi` is not installed or available, or the tutorial file is
+not found,
+an error is thrown with a corresponding message.
+}
 \description{
 This function opens the `tutorial.Rmd` file in RStudio for
 interactive use. Users can then run each code chunk step by step.
diff --git a/man/plot2base64.Rd b/man/plot2base64.Rd
index b5bdc97..80aa7b3 100755
--- a/man/plot2base64.Rd
+++ b/man/plot2base64.Rd
@@ -24,7 +24,7 @@ representation in the HTML.}
 \item{base_height_per_row}{A numeric value specifying the base height per
 row in inches.}
 
-\item{units}{A character string specifying the units for the width and 
+\item{units}{A character string specifying the units for the width and
 height.}
 
 \item{html_img_width}{A character string specifying the width of the image
@@ -35,7 +35,7 @@ A character string containing an HTML img tag with the Base64-encoded
  plot.
 }
 \description{
-Converts a ggplot2 plot to a Base64-encoded PNG image and returns an HTML 
+Converts a ggplot2 plot to a Base64-encoded PNG image and returns an HTML
 img tag for embedding in a report.
 }
 \seealso{
diff --git a/man/plot_all_mean_splines.Rd b/man/plot_all_mean_splines.Rd
index 385962c..2ab74ad 100755
--- a/man/plot_all_mean_splines.Rd
+++ b/man/plot_all_mean_splines.Rd
@@ -10,13 +10,13 @@ plot_all_mean_splines(curve_values, plot_info, level)
 \item{curve_values}{A dataframe containing curve values and cluster
 assignments.}
 
-\item{plot_info}{List containing the elements y_axis_label (string), 
+\item{plot_info}{List containing the elements y_axis_label (string),
 time_unit (string), treatment_labels (character vector),
-treatment_timepoints (integer vector). All can also be NA. 
-This list is used to add this info to the spline plots. 
+treatment_timepoints (integer vector). All can also be NA.
+This list is used to add this info to the spline plots.
 time_unit is used to label the x-axis, and treatment_labels
 and -timepoints are used to create vertical dashed lines,
-indicating the positions of the treatments (such as 
+indicating the positions of the treatments (such as
 feeding, temperature shift, etc.).}
 
 \item{level}{One of the unique values of the meta condition column. This is
diff --git a/man/plot_cluster_mean_splines.Rd b/man/plot_cluster_mean_splines.Rd
index 36aa021..1bc178b 100755
--- a/man/plot_cluster_mean_splines.Rd
+++ b/man/plot_cluster_mean_splines.Rd
@@ -10,13 +10,13 @@ plot_cluster_mean_splines(curve_values, plot_info, level)
 \item{curve_values}{A dataframe containing curve values and cluster
 assignments.}
 
-\item{plot_info}{List containing the elements y_axis_label (string), 
+\item{plot_info}{List containing the elements y_axis_label (string),
 time_unit (string), treatment_labels (character vector),
-treatment_timepoints (integer vector). All can also be NA. 
-This list is used to add this info to the spline plots. 
+treatment_timepoints (integer vector). All can also be NA.
+This list is used to add this info to the spline plots.
 time_unit is used to label the x-axis, and treatment_labels
 and -timepoints are used to create vertical dashed lines,
-indicating the positions of the treatments (such as 
+indicating the positions of the treatments (such as
 feeding, temperature shift, etc.).}
 }
 \value{
diff --git a/man/plot_composite_splines.Rd b/man/plot_composite_splines.Rd
index c7bdb17..30a658b 100755
--- a/man/plot_composite_splines.Rd
+++ b/man/plot_composite_splines.Rd
@@ -24,26 +24,26 @@ plot_composite_splines(
 
 \item{top_table}{A dataframe containing the top table results.}
 
-\item{top_table_name}{A character string specifying the name of the 
+\item{top_table_name}{A character string specifying the name of the
 top table.}
 
 \item{indices}{A vector of indices specifying which features to plot.}
 
-\item{type}{A character string specifying the type of features ('significant' 
+\item{type}{A character string specifying the type of features ('significant'
 or 'not_significant').}
 
 \item{time_unit_label}{A string shown in the plots as the unit for the time,
 such as min or hours.}
 }
 \value{
-A list containing the composite plot and its length if plots are 
+A list containing the composite plot and its length if plots are
 generated, FALSE otherwise.
 }
 \description{
-Generates composite spline plots for significant and non-significant 
+Generates composite spline plots for significant and non-significant
 features based on the specified indices.
 }
 \seealso{
-\link[splines]{bs}, \link[splines]{ns}, \link[ggplot2]{ggplot2}, 
+\link[splines]{bs}, \link[splines]{ns}, \link[ggplot2]{ggplot2},
 \link[patchwork]{wrap_plots}
 }
diff --git a/man/plot_cv.Rd b/man/plot_cv.Rd
index 1395c29..f3f4b72 100755
--- a/man/plot_cv.Rd
+++ b/man/plot_cv.Rd
@@ -12,7 +12,7 @@ plot_cv(data, meta, condition)
 \item{meta}{A data frame with sample metadata. Must contain a column "Time"
 and the condition column.}
 
-\item{condition}{The name of the column in the meta table that contains the 
+\item{condition}{The name of the column in the meta table that contains the
 condition information.}
 }
 \value{
@@ -20,11 +20,11 @@ A list of ggplot2 objects, each showing the distribution of CVs for
  one condition.
 }
 \description{
-This function takes a data frame with time series data 
+This function takes a data frame with time series data
 (rows as features and columns as samples),
-a meta table with sample information including time points and conditions, 
+a meta table with sample information including time points and conditions,
 computes the coefficient
-of variation (CV) for each feature for each condition level, and plots the 
+of variation (CV) for each feature for each condition level, and plots the
 distribution of these
 CVs.
 }
diff --git a/man/plot_first_lag_autocorrelation.Rd b/man/plot_first_lag_autocorrelation.Rd
index a36a750..ccecd1d 100755
--- a/man/plot_first_lag_autocorrelation.Rd
+++ b/man/plot_first_lag_autocorrelation.Rd
@@ -9,22 +9,22 @@ plot_first_lag_autocorrelation(data, meta, condition)
 \arguments{
 \item{data}{A data frame where rows are features and columns are samples.}
 
-\item{meta}{A data frame with sample metadata. Must contain a column "Time" 
+\item{meta}{A data frame with sample metadata. Must contain a column "Time"
 and the condition column.}
 
-\item{condition}{The name of the column in the meta table that contains the 
+\item{condition}{The name of the column in the meta table that contains the
 condition information.}
 }
 \value{
-A list of ggplot2 objects, each showing the distribution of first 
+A list of ggplot2 objects, each showing the distribution of first
 lag autocorrelation coefficients for one condition.
 }
 \description{
-This function takes a data frame with time series data 
+This function takes a data frame with time series data
 (rows as features and columns as samples),
-a meta table with sample information including time points and conditions, 
+a meta table with sample information including time points and conditions,
 computes the first lag
-autocorrelation for each feature for each condition level, and plots the 
+autocorrelation for each feature for each condition level, and plots the
 distribution of these
 autocorrelation coefficients.
 }
diff --git a/man/plot_heatmap.Rd b/man/plot_heatmap.Rd
index 655b314..17d13d9 100755
--- a/man/plot_heatmap.Rd
+++ b/man/plot_heatmap.Rd
@@ -21,7 +21,7 @@ plot_heatmap(
 
 \item{mode}{A character vector with length 1, specifying the type of limma
 design formula (integrated for formulas with interaction effects
-between the levels, isolated for formulas where each level is 
+between the levels, isolated for formulas where each level is
 analysed in isolation (no interaction effects))}
 
 \item{condition}{A character string specifying the condition.}
@@ -31,7 +31,7 @@ level within the condition.}
 
 \item{time_unit_label}{A character string specifying the time unit label.}
 
-\item{cluster_heatmap_columns}{Boolean specifying wether to cluster the 
+\item{cluster_heatmap_columns}{Boolean specifying wether to cluster the
 columns of the heatmap or not.}
 }
 \value{
diff --git a/man/plot_lag1_differences.Rd b/man/plot_lag1_differences.Rd
index 7ede505..6d7b5c3 100755
--- a/man/plot_lag1_differences.Rd
+++ b/man/plot_lag1_differences.Rd
@@ -9,22 +9,22 @@ plot_lag1_differences(data, meta, condition)
 \arguments{
 \item{data}{A data frame where rows are features and columns are samples.}
 
-\item{meta}{A data frame with sample metadata. Must contain a column "Time" 
+\item{meta}{A data frame with sample metadata. Must contain a column "Time"
 and the condition column.}
 
-\item{condition}{The name of the column in the meta table that contains the 
+\item{condition}{The name of the column in the meta table that contains the
 condition information.}
 }
 \value{
-A list of ggplot2 objects, each showing the distribution of lag-1 
+A list of ggplot2 objects, each showing the distribution of lag-1
 differences for one condition.
 }
 \description{
-This function takes a data frame with time series data 
+This function takes a data frame with time series data
 (rows as features and columns as samples),
-a meta table with sample information including time points and conditions, 
+a meta table with sample information including time points and conditions,
 computes the lag-1
-differences for each feature for each condition level, and plots the 
+differences for each feature for each condition level, and plots the
 distribution of these
 differences.
 }
diff --git a/man/plot_limma_combos_results.Rd b/man/plot_limma_combos_results.Rd
index 1daa28d..5cc2f7c 100755
--- a/man/plot_limma_combos_results.Rd
+++ b/man/plot_limma_combos_results.Rd
@@ -33,14 +33,14 @@ column.}
 
 \item{time_unit}{A single character, such as s, m, h, or d, specifying the
 time_unit that should be used for the plots (s = seconds, m = minutes,
-h = hours, d = days). This single character will be converted to a string 
+h = hours, d = days). This single character will be converted to a string
 that is a little bit more verbose, such as sec in square brackets for s.}
 }
 \value{
-A list of results including hit comparison plots and composite 
+A list of results including hit comparison plots and composite
 spline plots for each pair of combinations.
 }
 \description{
-Generates plots for pairwise comparisons of hyperparameter combinations 
+Generates plots for pairwise comparisons of hyperparameter combinations
 using limma results.
 }
diff --git a/man/plot_mean_correlation_with_time.Rd b/man/plot_mean_correlation_with_time.Rd
index 650c59e..fc82533 100755
--- a/man/plot_mean_correlation_with_time.Rd
+++ b/man/plot_mean_correlation_with_time.Rd
@@ -11,19 +11,19 @@ plot_mean_correlation_with_time(data, meta, condition)
 
 \item{meta}{A data frame with sample metadata. Must contain a column "Time".}
 
-\item{condition}{The column of the meta dataframe containign the levels that 
+\item{condition}{The column of the meta dataframe containign the levels that
 separate the experiment.}
 }
 \value{
 A ggplot2 object showing the distribution of mean correlations
  with time.
- 
+
  @importFrom rlang .data
 }
 \description{
-This function takes a data frame with time series data 
-(rows as features and columns as samples) 
-and a meta table with sample information including time points, computes 
-the correlation of each 
+This function takes a data frame with time series data
+(rows as features and columns as samples)
+and a meta table with sample information including time points, computes
+the correlation of each
 feature with time, and plots the distribution of these correlations.
 }
diff --git a/man/plot_single_and_mean_splines.Rd b/man/plot_single_and_mean_splines.Rd
index 5947be7..78baee6 100755
--- a/man/plot_single_and_mean_splines.Rd
+++ b/man/plot_single_and_mean_splines.Rd
@@ -11,13 +11,13 @@ plot_single_and_mean_splines(time_series_data, title, plot_info, level)
 
 \item{title}{A character string specifying the title of the plot.}
 
-\item{plot_info}{List containing the elements y_axis_label (string), 
+\item{plot_info}{List containing the elements y_axis_label (string),
 time_unit (string), treatment_labels (character vector),
-treatment_timepoints (integer vector). All can also be NA. 
-This list is used to add this info to the spline plots. 
+treatment_timepoints (integer vector). All can also be NA.
+This list is used to add this info to the spline plots.
 time_unit is used to label the x-axis, and treatment_labels
 and -timepoints are used to create vertical dashed lines,
-indicating the positions of the treatments (such as 
+indicating the positions of the treatments (such as
 feeding, temperature shift, etc.).}
 }
 \value{
diff --git a/man/plot_spline_comparisons.Rd b/man/plot_spline_comparisons.Rd
index 5210c11..9a1af1d 100755
--- a/man/plot_spline_comparisons.Rd
+++ b/man/plot_spline_comparisons.Rd
@@ -33,11 +33,11 @@ condition.}
 \item{condition_2}{The name of the second condition.}
 
 \item{avrg_diff_conditions}{A data frame with the adjusted p-values for the
- average difference 
+ average difference
 between conditions.}
 
 \item{interaction_condition_time}{A data frame with the adjusted p-values
- for the interaction between 
+ for the interaction between
 condition and time.}
 
 \item{data}{The data matrix containing the measurements.}
@@ -51,15 +51,15 @@ experiment.}
 
 \item{X_2}{A matrix of spline basis values for the second condition.}
 
-\item{plot_info}{A list containing plotting information such as time unit 
+\item{plot_info}{A list containing plotting information such as time unit
 and axis labels.}
 
-\item{adj_pthresh_avrg_diff_conditions}{The adjusted p-value threshold for 
-the average difference 
+\item{adj_pthresh_avrg_diff_conditions}{The adjusted p-value threshold for
+the average difference
 between conditions.}
 
-\item{adj_pthresh_interaction}{The adjusted p-value threshold for the 
-interaction between 
+\item{adj_pthresh_interaction}{The adjusted p-value threshold for the
+interaction between
 condition and time.}
 }
 \value{
@@ -70,10 +70,10 @@ A list containing:
 }
 }
 \description{
-This function generates comparison plots for spline fits of two conditions 
-over time. It compares the time effects of two conditions, plots the data 
-points, and overlays the fitted spline curves. The function checks if the 
-adjusted p-values for the average difference between conditions and the 
-interaction between condition and time are below the specified thresholds 
+This function generates comparison plots for spline fits of two conditions
+over time. It compares the time effects of two conditions, plots the data
+points, and overlays the fitted spline curves. The function checks if the
+adjusted p-values for the average difference between conditions and the
+interaction between condition and time are below the specified thresholds
 before generating plots.
 }
diff --git a/man/plot_splines.Rd b/man/plot_splines.Rd
index 1209b2f..10bd364 100755
--- a/man/plot_splines.Rd
+++ b/man/plot_splines.Rd
@@ -33,19 +33,19 @@ points.}
 \item{time_unit_label}{A string shown in the plots as the unit for the time,
 such as min or hours.}
 
-\item{plot_info}{List containing the elements y_axis_label (string), 
+\item{plot_info}{List containing the elements y_axis_label (string),
 time_unit (string), treatment_labels (character vector),
-treatment_timepoints (integer vector). All can also be NA. 
-This list is used to add this info to the spline plots. 
+treatment_timepoints (integer vector). All can also be NA.
+This list is used to add this info to the spline plots.
 time_unit is used to label the x-axis, and treatment_labels
 and -timepoints are used to create vertical dashed lines,
-indicating the positions of the treatments (such as 
+indicating the positions of the treatments (such as
 feeding, temperature shift, etc.).}
 
 \item{adj_pthreshold}{Double > 0 and < 1 specifying the adj. p-val threshold.}
 
 \item{replicate_column}{String specifying the column of the meta dataframe
-that contains the labels of the replicate measurents. When that is not 
+that contains the labels of the replicate measurents. When that is not
 given, this argument is NULL.}
 }
 \value{
diff --git a/man/prepare_gene_lists_for_enrichr.Rd b/man/prepare_gene_lists_for_enrichr.Rd
index 9dd031f..06bd683 100755
--- a/man/prepare_gene_lists_for_enrichr.Rd
+++ b/man/prepare_gene_lists_for_enrichr.Rd
@@ -16,7 +16,7 @@ prepare_gene_lists_for_enrichr(all_levels_clustering, genes)
 A character vector with the formatted gene lists for each cluster.
 }
 \description{
-This function processes the clustered hits in each element of 
-`all_levels_clustering`, formats the gene names for easy copy-pasting into 
+This function processes the clustered hits in each element of
+`all_levels_clustering`, formats the gene names for easy copy-pasting into
 Enrichr, and returns the formatted gene lists as a string.
 }
diff --git a/man/preprocess_rna_seq_data.Rd b/man/preprocess_rna_seq_data.Rd
index 3f7ace9..0c34f9f 100755
--- a/man/preprocess_rna_seq_data.Rd
+++ b/man/preprocess_rna_seq_data.Rd
@@ -21,18 +21,18 @@ columns).}
 \item{spline_params}{Parameters for spline functions (optional). Must contain
 the named elements spline_type, which must contain either the string "n" for
 natural cubic splines, or "b", for B-splines, the named element degree in the
-case of B-splines, that must contain only an integer, and the named element 
+case of B-splines, that must contain only an integer, and the named element
 dof, specifying the degree of freedom, containing an integer and required
 both for natural and B-splines.}
 
-\item{design}{A design formula for the limma analysis, such as 
+\item{design}{A design formula for the limma analysis, such as
 '~ 1 + Phase*X + Reactor'.}
 
-\item{normalize_func}{An optional normalization function. If provided, this 
+\item{normalize_func}{An optional normalization function. If provided, this
 function will be used to normalize the `DGEList` object. If not provided,
 TMM normalization (via `edgeR::calcNormFactors`) will be used by default.
 Must take as
-input the y of: y <- edgeR::DGEList(counts = raw_counts) and output the y 
+input the y of: y <- edgeR::DGEList(counts = raw_counts) and output the y
 with the normalized counts.}
 }
 \value{
@@ -42,7 +42,7 @@ A `voom` object, which includes the log2-counts per million (logCPM)
 \description{
 The `preprocess_rna_seq_data()` function performs essential preprocessing
 steps for raw RNA-seq counts. This includes creating a `DGEList` object,
-normalizing the counts using the default TMM (Trimmed Mean of M-values) 
+normalizing the counts using the default TMM (Trimmed Mean of M-values)
 normalization via the `edgeR::calcNormFactors` function, and applying the
 `voom` transformation from the `limma` package to obtain log-transformed
 counts per million (logCPM) with associated precision weights. If you
diff --git a/man/print.SplineOmics.Rd b/man/print.SplineOmics.Rd
index 358202f..a46dad2 100755
--- a/man/print.SplineOmics.Rd
+++ b/man/print.SplineOmics.Rd
@@ -12,17 +12,17 @@
 \item{...}{Additional arguments passed to or from other methods.}
 }
 \value{
-The function does not return a value. It prints a summary of 
+The function does not return a value. It prints a summary of
 the SplineOmics object.
 }
 \description{
 This function provides a summary print of the SplineOmics object, showing
-relevant information such as the number of features, samples, metadata, 
+relevant information such as the number of features, samples, metadata,
 RNA-seq data, annotation, and spline parameters.
 }
 \details{
-This function is automatically called when a SplineOmics object is printed. 
-It provides a concise overview of the object's contents and attributes, 
-including the dimensions of the data, available metadata, and other relevant 
+This function is automatically called when a SplineOmics object is printed.
+It provides a concise overview of the object's contents and attributes,
+including the dimensions of the data, available metadata, and other relevant
 information such as annotations and spline parameters.
 }
diff --git a/man/print_info_message.Rd b/man/print_info_message.Rd
index cc7dcb1..2761605 100755
--- a/man/print_info_message.Rd
+++ b/man/print_info_message.Rd
@@ -7,10 +7,12 @@
 print_info_message(message_prefix, report_dir)
 }
 \arguments{
-\item{message_prefix}{A custom message prefix to be displayed before the success message.}
+\item{message_prefix}{A custom message prefix to be displayed before the
+success message.}
 
 \item{report_dir}{The directory where the HTML reports are located.}
 }
 \description{
-This function prints a nicely formatted informational message with a green "Info" label.
+This function prints a nicely formatted informational message with a green
+ "Info" label.
 }
diff --git a/man/process_combo.Rd b/man/process_combo.Rd
index 3139f97..7793e98 100755
--- a/man/process_combo.Rd
+++ b/man/process_combo.Rd
@@ -26,7 +26,7 @@ process_combo(
 
 \item{design_index}{Index of the design in the designs list.}
 
-\item{spline_config_index}{Index of the spline configuration in the 
+\item{spline_config_index}{Index of the spline configuration in the
 spline_test_configs list.}
 
 \item{pthreshold}{The p-value threshold for significance.}
@@ -48,7 +48,7 @@ derived from the limma::voom function.}
 
 \item{feature_names}{A character vector of feature names.}
 
-\item{padjust_method}{A single character string specifying the p-adjustment 
+\item{padjust_method}{A single character string specifying the p-adjustment
 method.}
 
 \item{...}{Additional arguments.}
@@ -57,10 +57,10 @@ method.}
 A list of top tables from the LIMMA spline analysis.
 }
 \description{
-Processes a single combination of data, design, spline configuration, and 
+Processes a single combination of data, design, spline configuration, and
 p-threshold to generate LIMMA spline results.
 }
 \seealso{
-\code{\link{create_spline_params}}, 
+\code{\link{create_spline_params}},
 \code{\link{run_limma_splines}}
 }
diff --git a/man/process_combo_pair.Rd b/man/process_combo_pair.Rd
index 9178650..e3638e4 100755
--- a/man/process_combo_pair.Rd
+++ b/man/process_combo_pair.Rd
@@ -13,7 +13,7 @@ process_combo_pair(
 )
 }
 \arguments{
-\item{combo_pair}{A list containing hit comparison and composite spline 
+\item{combo_pair}{A list containing hit comparison and composite spline
 plots.}
 
 \item{combo_pair_name}{A character string for naming the combination pair.}
@@ -28,7 +28,7 @@ plots.}
 No return value, called for side effects.
 }
 \description{
-Processes a combination pair to generate plots and compile them into an 
+Processes a combination pair to generate plots and compile them into an
 HTML report.
 }
 \seealso{
diff --git a/man/process_config_column.Rd b/man/process_config_column.Rd
index 23fcb1d..1c51be2 100755
--- a/man/process_config_column.Rd
+++ b/man/process_config_column.Rd
@@ -7,20 +7,20 @@
 process_config_column(config_column, index, num_levels, mode)
 }
 \arguments{
-\item{config_column}{A configuration column from the spline test 
+\item{config_column}{A configuration column from the spline test
 configurations.}
 
 \item{index}{Index of the configuration to process.}
 
 \item{num_levels}{Number of unique levels in the metadata condition.}
 
-\item{mode}{A character string specifying the mode 
+\item{mode}{A character string specifying the mode
 ('integrated' or 'isolated').}
 }
 \value{
 A vector or list with the processed configuration values.
 }
 \description{
-Processes a configuration column based on the given mode and number of 
+Processes a configuration column based on the given mode and number of
 levels.
 }
diff --git a/man/process_field.Rd b/man/process_field.Rd
index beed82f..23c8f8f 100755
--- a/man/process_field.Rd
+++ b/man/process_field.Rd
@@ -22,7 +22,7 @@ process_field(
 
 \item{meta}{A dataframe containing meta information.}
 
-\item{topTables}{A dataframe containing the results of differential 
+\item{topTables}{A dataframe containing the results of differential
 expression analysis.}
 
 \item{report_info}{A list containing additional report information.}
@@ -31,15 +31,15 @@ expression analysis.}
 
 \item{report_type}{A string specifying the type of report.}
 
-\item{enrichr_format}{A list with the formatted gene lists and background 
+\item{enrichr_format}{A list with the formatted gene lists and background
 gene list.}
 }
 \value{
-A string containing the HTML link for downloading the processed 
+A string containing the HTML link for downloading the processed
         field.
 }
 \description{
-This function processes a given field, encodes the associated data as base64, 
-and generates a download link for the report. It handles different types of 
+This function processes a given field, encodes the associated data as base64,
+and generates a download link for the report. It handles different types of
 fields including data, meta, top tables, and Enrichr formatted gene lists.
 }
diff --git a/man/process_plots.Rd b/man/process_plots.Rd
index fa5c3ed..1f53445 100755
--- a/man/process_plots.Rd
+++ b/man/process_plots.Rd
@@ -22,7 +22,7 @@ process_plots(
 
 \item{toc}{The current state of the table of contents (TOC).}
 
-\item{header_index}{An index to uniquely identify each section 
+\item{header_index}{An index to uniquely identify each section
 for anchoring.}
 
 \item{element_name}{A character string specifying the name of the element.}
diff --git a/man/process_top_table.Rd b/man/process_top_table.Rd
index 749eec0..0096835 100755
--- a/man/process_top_table.Rd
+++ b/man/process_top_table.Rd
@@ -7,8 +7,8 @@
 process_top_table(process_within_level_result, feature_names)
 }
 \arguments{
-\item{process_within_level_result}{List of lists containing the limma 
-topTable, and fit. All of this is from 
+\item{process_within_level_result}{List of lists containing the limma
+topTable, and fit. All of this is from
 one specific level.}
 
 \item{feature_names}{A non-empty character vector of feature names.}
@@ -17,7 +17,7 @@ one specific level.}
 A dataframe containing the processed top table with added intercepts.
 }
 \description{
-Processes the top table from a LIMMA analysis, adding feature names and 
+Processes the top table from a LIMMA analysis, adding feature names and
 intercepts.
 }
 \seealso{
diff --git a/man/process_within_level.Rd b/man/process_within_level.Rd
index 0d862c5..8f584c6 100755
--- a/man/process_within_level.Rd
+++ b/man/process_within_level.Rd
@@ -9,6 +9,7 @@ process_within_level(
   rna_seq_data,
   meta,
   design,
+  dream_params,
   spline_params,
   level_index,
   padjust_method
@@ -17,13 +18,21 @@ process_within_level(
 \arguments{
 \item{data}{A matrix of data values.}
 
-\item{rna_seq_data}{An object containing the preprocessed RNA-seq data, 
+\item{rna_seq_data}{An object containing the preprocessed RNA-seq data,
 such as the output from `limma::voom` or a similar preprocessing pipeline.}
 
 \item{meta}{A dataframe containing metadata, including a 'Time' column.}
 
 \item{design}{A design formula or matrix for the limma analysis.}
 
+\item{dream_params}{A named list or NULL. When not NULL, it must at least 
+contain the named element 'random_effects', which must contain a string that
+is a formula for the random effects of the mixed models by dream. 
+Additionally, it can contain the named elements dof, which must be a int
+bigger than 1, which is the degree of freedom for the dream topTable, and
+the named element KenwardRoger, which must be a bool, specifying whether
+to use that method or not.}
+
 \item{spline_params}{A list of spline parameters for the analysis.}
 
 \item{level_index}{The index of the level within the factor.}
@@ -31,15 +40,15 @@ such as the output from `limma::voom` or a similar preprocessing pipeline.}
 \item{padjust_method}{A character string specifying the p-adjustment method.}
 }
 \value{
-A list containing the top table and the fit object from the limma 
+A list containing the top table and the fit object from the limma
 analysis.
 }
 \description{
-Performs a within-level analysis using limma to generate top tables and fit 
-objects based on the specified spline parameters. Performs the limma spline 
+Performs a within-level analysis using limma to generate top tables and fit
+objects based on the specified spline parameters. Performs the limma spline
 analysis for a selected level of a factor
 }
 \seealso{
-\link[splines]{bs}, \link[splines]{ns}, \link[limma]{lmFit}, 
+\link[splines]{bs}, \link[splines]{ns}, \link[limma]{lmFit},
 \link[limma]{eBayes}, \link[limma]{topTable}
 }
diff --git a/man/read_section_texts.Rd b/man/read_section_texts.Rd
index 0a16f1e..2494667 100755
--- a/man/read_section_texts.Rd
+++ b/man/read_section_texts.Rd
@@ -7,16 +7,16 @@
 read_section_texts(filename)
 }
 \arguments{
-\item{filename}{A character string specifying the name of the file 
-containing the section texts. The file should be located in the 
+\item{filename}{A character string specifying the name of the file
+containing the section texts. The file should be located in the
 `inst/descriptions` directory of the package.}
 }
 \value{
-A character vector where each element is a section of the text 
+A character vector where each element is a section of the text
 split by the delimiter `|`.
 }
 \description{
-This internal function reads the contents of a text file located in the 
-`inst/descriptions` directory of the package and splits it into individual 
+This internal function reads the contents of a text file located in the
+`inst/descriptions` directory of the package and splits it into individual
 sections based on a specified delimiter.
 }
diff --git a/man/remove_batch_effect.Rd b/man/remove_batch_effect.Rd
index e66406c..374d135 100755
--- a/man/remove_batch_effect.Rd
+++ b/man/remove_batch_effect.Rd
@@ -23,14 +23,14 @@ remove_batch_effect(
 column.}
 
 \item{condition}{A character vector of length 1, specifying the column name
-of the meta dataframe, that contains the levels that 
+of the meta dataframe, that contains the levels that
 separate the experiment.}
 }
 \value{
 A list of matrices with batch effects removed where applicable.
 }
 \description{
-Removes batch effects from the data matrices using the specified batch 
+Removes batch effects from the data matrices using the specified batch
 column in the metadata.
 }
 \seealso{
diff --git a/man/remove_batch_effect_cluster_hits.Rd b/man/remove_batch_effect_cluster_hits.Rd
index 520071c..b70d3f0 100755
--- a/man/remove_batch_effect_cluster_hits.Rd
+++ b/man/remove_batch_effect_cluster_hits.Rd
@@ -20,18 +20,18 @@ remove_batch_effect_cluster_hits(
 
 \item{meta}{A dataframe containing meta information.}
 
-\item{condition}{A string specifying the column in `meta` that divides the 
+\item{condition}{A string specifying the column in `meta` that divides the
 experiment into levels.}
 
-\item{meta_batch_column}{A string specifying the column in `meta` that 
+\item{meta_batch_column}{A string specifying the column in `meta` that
 indicates batch information.}
 
-\item{meta_batch2_column}{A string specifying the second batch column in 
+\item{meta_batch2_column}{A string specifying the second batch column in
 `meta`, if applicable.}
 
 \item{design}{A design matrix for the experiment.}
 
-\item{mode}{A string indicating the mode of operation: "isolated" or 
+\item{mode}{A string indicating the mode of operation: "isolated" or
 "integrated".}
 
 \item{spline_params}{A list of spline parameters for the design matrix.}
@@ -40,18 +40,18 @@ indicates batch information.}
 A list of dataframes with batch effects removed for each level.
 }
 \description{
-This function removes batch effects from the data for each level specified 
-by the condition. It supports both isolated and integrated modes, with 
+This function removes batch effects from the data for each level specified
+by the condition. It supports both isolated and integrated modes, with
 optional handling for a second batch column.
 }
 \details{
 The function operates in two modes:
 \describe{
-  \item{isolated}{Processes each level independently, using only data from 
+  \item{isolated}{Processes each level independently, using only data from
   that level.}
   \item{integrated}{Processes the entire dataset together.}
 }
-If `meta_batch_column` is specified, the function removes batch effects using 
-`removeBatchEffect`. If a second batch column (`meta_batch2_column`) is 
+If `meta_batch_column` is specified, the function removes batch effects using
+`removeBatchEffect`. If a second batch column (`meta_batch2_column`) is
 specified, it is also included in the batch effect removal.
 }
diff --git a/man/remove_intercept.Rd b/man/remove_intercept.Rd
new file mode 100644
index 0000000..b891bf7
--- /dev/null
+++ b/man/remove_intercept.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/run_limma_splines.R
+\name{remove_intercept}
+\alias{remove_intercept}
+\title{Remove intercept from a formula}
+\usage{
+remove_intercept(formula)
+}
+\arguments{
+\item{formula}{A formula object. The formula can include an intercept (`1`)
+and other terms. If a `1` is found, it is replaced with `0`.}
+}
+\value{
+A modified formula with the intercept removed. The first standalone
+  occurrence of `1` will be replaced by `0`.
+}
+\description{
+This function modifies a given formula by replacing the first occurrence
+of a standalone intercept (`1`) with `0`. It works even if the `1` is
+preceded by a tilde (`~`), ensuring that the intercept is removed while
+leaving other parts of the formula intact.
+}
diff --git a/man/remove_prefix.Rd b/man/remove_prefix.Rd
index fd66c86..a3d4e9c 100755
--- a/man/remove_prefix.Rd
+++ b/man/remove_prefix.Rd
@@ -15,6 +15,6 @@ remove_prefix(string, prefix)
 A string with the prefix removed.
 }
 \description{
-Removes a specified prefix from the beginning of a string. This function 
+Removes a specified prefix from the beginning of a string. This function
 is useful for cleaning or standardizing strings by removing known prefixes.
 }
diff --git a/man/run_limma_splines.Rd b/man/run_limma_splines.Rd
index bf8f1d4..d6bbe15 100755
--- a/man/run_limma_splines.Rd
+++ b/man/run_limma_splines.Rd
@@ -7,25 +7,25 @@
 run_limma_splines(splineomics)
 }
 \arguments{
-\item{splineomics}{An S3 object of class `SplineOmics` that contains the 
+\item{splineomics}{An S3 object of class `SplineOmics` that contains the
 following elements:
 \itemize{
   \item \code{data}: The matrix of the omics dataset, with the feature
   names optionally as row headers.
-  \item \code{rna_seq_data}: An object containing the preprocessed 
-  RNA-seq data, 
+  \item \code{rna_seq_data}: An object containing the preprocessed
+  RNA-seq data,
   such as the output from `limma::voom` or a similar preprocessing pipeline.
-  \item \code{meta}: A dataframe containing metadata corresponding to the 
-  \code{data}, must include a 'Time' column and the column specified by 
+  \item \code{meta}: A dataframe containing metadata corresponding to the
+  \code{data}, must include a 'Time' column and the column specified by
   \code{condition}.
-  \item \code{design}: A character string representing the limma design 
+  \item \code{design}: A character string representing the limma design
   formula.
-  \item \code{condition}: A character string specifying the column name 
+  \item \code{condition}: A character string specifying the column name
   in \code{meta} used to define groups for analysis.
-  \item \code{spline_params}: A list of spline parameters used in the 
+  \item \code{spline_params}: A list of spline parameters used in the
   analysis, including:
     \itemize{
-      \item \code{spline_type}: The type of spline (e.g., "n" for natural 
+      \item \code{spline_type}: The type of spline (e.g., "n" for natural
       splines or "b" for B-splines).
       \item \code{dof}: Degrees of freedom for the spline.
       \item \code{knots}: Positions of the internal knots (for B-splines).
@@ -35,21 +35,21 @@ following elements:
 }}
 }
 \value{
-The SplineOmics object, updated with a list with three elements: 
+The SplineOmics object, updated with a list with three elements:
         - `time_effect`: A list of top tables for each level with the time
                          effect.
         - `avrg_diff_conditions`: A list of top tables for each comparison
-                                 between the levels. The comparison is the 
+                                 between the levels. The comparison is the
                                  average difference of the values.
-        - `interaction_condition_time`: A list of top tables for each 
-                                        comparison between levels. The 
+        - `interaction_condition_time`: A list of top tables for each
+                                        comparison between levels. The
                                         comparison is the interaction between
                                         the condition and the time.
 }
 \description{
 This function performs a limma spline analysis to identify significant
-time-dependent changes in features (e.g., proteins) within an omics 
-time-series dataset. It evaluates features within each condition level 
-and between levels by comparing average differences and interactions 
+time-dependent changes in features (e.g., proteins) within an omics
+time-series dataset. It evaluates features within each condition level
+and between levels by comparing average differences and interactions
 between time and condition.
 }
diff --git a/man/screen_limma_hyperparams.Rd b/man/screen_limma_hyperparams.Rd
index 3530eb2..8045a9d 100755
--- a/man/screen_limma_hyperparams.Rd
+++ b/man/screen_limma_hyperparams.Rd
@@ -20,20 +20,20 @@ screen_limma_hyperparams(
 )
 }
 \arguments{
-\item{splineomics}{An S3 object of class `SplineOmics` that contains all the 
+\item{splineomics}{An S3 object of class `SplineOmics` that contains all the
 necessary data and parameters for the analysis, including:
 \itemize{
   \item \code{condition}: A string specifying the column name of the meta
                           dataframe, that contains the levels that separate
                           the experiment ('treatment' can be a condition, and
-                          'drug' and 'no drug' can be the levels of such a 
+                          'drug' and 'no drug' can be the levels of such a
                           condition).
-  \item \code{report_info}: 
-  \item \code{meta_batch_column}: A character string specifying the meta 
+  \item \code{report_info}:
+  \item \code{meta_batch_column}: A character string specifying the meta
                                   batch column.
-  \item \code{meta_batch2_column}: A character string specifying the second 
-                                   meta batch column (the limma function 
-                                   removeBatchEffect supports a maximum of 
+  \item \code{meta_batch2_column}: A character string specifying the second
+                                   meta batch column (the limma function
+                                   removeBatchEffect supports a maximum of
                                    two batch columns.)
 }}
 
@@ -41,14 +41,14 @@ necessary data and parameters for the analysis, including:
 
 \item{datas_descr}{A description object for the data.}
 
-\item{metas}{A list of data frames containing metadata for each dataset in 
+\item{metas}{A list of data frames containing metadata for each dataset in
 `datas`.}
 
 \item{designs}{A character vector of design formulas for the limma analysis.}
 
 \item{modes}{A character vector that must have the same length as 'designs'.
 For each design formula, you must specify either 'isolated' or 'integrated'.
-Isolated means limma determines the results for each level using only the 
+Isolated means limma determines the results for each level using only the
 data from that level. Integrated means limma determines the results for all
 levels using the full dataset (from all levels).}
 
@@ -56,7 +56,7 @@ levels using the full dataset (from all levels).}
 
 \item{report_dir}{A non-empty string specifying the report directory.}
 
-\item{adj_pthresholds}{A numeric vector of p-value thresholds for 
+\item{adj_pthresholds}{A numeric vector of p-value thresholds for
 significance determination.}
 
 \item{rna_seq_datas}{A list of RNA-seq data objects, such as the voom object
@@ -64,20 +64,20 @@ derived from the limma::voom function.}
 
 \item{time_unit}{A character string specifying the time unit label for plots.}
 
-\item{padjust_method}{A character string specifying the method for p-value 
+\item{padjust_method}{A character string specifying the method for p-value
 adjustment.}
 }
 \value{
 Returns a list of plots generated from the limma analysis results.
-        Each element in the list corresponds to a different combination of 
+        Each element in the list corresponds to a different combination of
         hyperparameters.
 }
 \description{
-This function screens through various combinations of hyperparameters for 
+This function screens through various combinations of hyperparameters for
 limma analysis,
-including designs, modes, and degrees of freedom. It validates inputs, 
+including designs, modes, and degrees of freedom. It validates inputs,
 generates results for all
-combinations, and plots the outcomes. Finally, it may also be involved in 
+combinations, and plots the outcomes. Finally, it may also be involved in
 generating an HTML report
 as part of a larger analysis workflow.
 }
diff --git a/man/shorten_names.Rd b/man/shorten_names.Rd
index c7ea6c4..002e47f 100755
--- a/man/shorten_names.Rd
+++ b/man/shorten_names.Rd
@@ -9,14 +9,14 @@ shorten_names(name, unique_values)
 \arguments{
 \item{name}{A string representing the name to be shortened.}
 
-\item{unique_values}{A vector of unique values whose abbreviations will 
+\item{unique_values}{A vector of unique values whose abbreviations will
 replace their occurrences in the name.}
 }
 \value{
 A string with the unique values replaced by their abbreviations.
 }
 \description{
-Replaces occurrences of unique values within a name with their first three 
-characters. This function is useful for abbreviating long condition names 
+Replaces occurrences of unique values within a name with their first three
+characters. This function is useful for abbreviating long condition names
 in a dataset.
 }
diff --git a/man/stop_call_false.Rd b/man/stop_call_false.Rd
index 47a821c..b1c37a5 100755
--- a/man/stop_call_false.Rd
+++ b/man/stop_call_false.Rd
@@ -7,17 +7,17 @@
 stop_call_false(...)
 }
 \arguments{
-\item{...}{One or more character strings specifying the error message. 
-If multiple strings are provided, they will be concatenated 
+\item{...}{One or more character strings specifying the error message.
+If multiple strings are provided, they will be concatenated
 with a space between them.}
 }
 \value{
-This function does not return a value; it stops execution and 
+This function does not return a value; it stops execution and
         throws an error.
 }
 \description{
-A helper function that triggers an error with the specified message and 
-suppresses the function call in the error output. This function behaves 
-similarly to the base `stop()` function but automatically concatenates 
+A helper function that triggers an error with the specified message and
+suppresses the function call in the error output. This function behaves
+similarly to the base `stop()` function but automatically concatenates
 multiple message strings if provided.
 }
diff --git a/man/store_hits.Rd b/man/store_hits.Rd
index 4a31d8a..4d464a7 100755
--- a/man/store_hits.Rd
+++ b/man/store_hits.Rd
@@ -7,14 +7,14 @@
 store_hits(condition)
 }
 \arguments{
-\item{condition}{A list containing dataframes and parameters for each 
+\item{condition}{A list containing dataframes and parameters for each
 condition.}
 }
 \value{
-A list where each element is a vector of feature indices that meet 
+A list where each element is a vector of feature indices that meet
 the significance threshold.
 }
 \description{
-Stores the feature indices for significant hits based on the adjusted p-value 
+Stores the feature indices for significant hits based on the adjusted p-value
 threshold for each condition.
 }
diff --git a/man/within_level.Rd b/man/within_level.Rd
index 267ebdb..1e31556 100755
--- a/man/within_level.Rd
+++ b/man/within_level.Rd
@@ -12,6 +12,7 @@ within_level(
   rna_seq_data,
   meta,
   design,
+  dream_params,
   condition,
   feature_names,
   padjust_method,
@@ -27,28 +28,36 @@ within_level(
 
 \item{data}{A matrix of data values.}
 
-\item{rna_seq_data}{An object containing the preprocessed RNA-seq data, 
+\item{rna_seq_data}{An object containing the preprocessed RNA-seq data,
 such as the output from `limma::voom` or a similar preprocessing pipeline.}
 
 \item{meta}{A dataframe containing the metadata for data.}
 
 \item{design}{A design formula or matrix for the limma analysis.}
 
+\item{dream_params}{A named list or NULL. When not NULL, it must at least 
+contain the named element 'random_effects', which must contain a string that
+is a formula for the random effects of the mixed models by dream. 
+Additionally, it can contain the named elements dof, which must be a int
+bigger than 1, which is the degree of freedom for the dream topTable, and
+the named element KenwardRoger, which must be a bool, specifying whether
+to use that method or not.}
+
 \item{condition}{A character string specifying the condition.}
 
 \item{feature_names}{A non-empty character vector of feature names.}
 
 \item{padjust_method}{A character string specifying the p-adjustment method.}
 
-\item{mode}{A character string specifying the mode 
+\item{mode}{A character string specifying the mode
 ('isolated' or 'integrated').}
 }
 \value{
-A list containing the name of the results and the top table of 
+A list containing the name of the results and the top table of
          results.
 }
 \description{
-Processes a single level within a condition, performing limma analysis 
+Processes a single level within a condition, performing limma analysis
 and generating the top table of results.
 }
 \seealso{
diff --git a/renv.lock b/renv.lock
index a18b006..0f54c38 100755
--- a/renv.lock
+++ b/renv.lock
@@ -201,6 +201,29 @@
       ],
       "Hash": "f6e782014c01a819603ca4a3a508c301"
     },
+    "Deriv": {
+      "Package": "Deriv",
+      "Version": "4.1.6",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "methods"
+      ],
+      "Hash": "cd52c065c9e687c60c56b51f10f7bcd3"
+    },
+    "EnvStats": {
+      "Package": "EnvStats",
+      "Version": "3.0.0",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "MASS",
+        "R",
+        "ggplot2",
+        "nortest"
+      ],
+      "Hash": "08f0337e9a3b03a9027a423a1ae76ed3"
+    },
     "GO.db": {
       "Package": "GO.db",
       "Version": "3.18.0",
@@ -324,6 +347,17 @@
       ],
       "Hash": "8d6e9f4dce69aec9c588c27ae79be08e"
     },
+    "KernSmooth": {
+      "Package": "KernSmooth",
+      "Version": "2.23-22",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "stats"
+      ],
+      "Hash": "2fecebc3047322fa5930f74fae5de70f"
+    },
     "MASS": {
       "Package": "MASS",
       "Version": "7.3-60.0.1",
@@ -445,6 +479,27 @@
       ],
       "Hash": "4ac8e423216b8b70cb9653d1b3f71eb9"
     },
+    "Rdpack": {
+      "Package": "Rdpack",
+      "Version": "2.6.1",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "methods",
+        "rbibutils",
+        "tools",
+        "utils"
+      ],
+      "Hash": "24a964d2cf75ad25d7b843856c8d4c93"
+    },
+    "RhpcBLASctl": {
+      "Package": "RhpcBLASctl",
+      "Version": "0.23-42",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "c966ea2957ff75e77afa5c908dfc89e1"
+    },
     "S4Vectors": {
       "Package": "S4Vectors",
       "Version": "0.40.2",
@@ -476,6 +531,18 @@
       ],
       "Hash": "65c0b6bca03f88758f86ef0aa18c4873"
     },
+    "aod": {
+      "Package": "aod",
+      "Version": "1.3.3",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "methods",
+        "stats"
+      ],
+      "Hash": "6cbe18ab157a28fe4d6f2bc55e12d234"
+    },
     "ape": {
       "Package": "ape",
       "Version": "5.8",
@@ -514,13 +581,23 @@
     },
     "askpass": {
       "Package": "askpass",
-      "Version": "1.2.0",
+      "Version": "1.2.1",
       "Source": "Repository",
       "Repository": "CRAN",
       "Requirements": [
         "sys"
       ],
-      "Hash": "cad6cf7f1d5f6e906700b9d3e718c796"
+      "Hash": "c39f4155b3ceb1a9a2799d700fbd4b6a"
+    },
+    "backports": {
+      "Package": "backports",
+      "Version": "1.5.0",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R"
+      ],
+      "Hash": "e1e1b9d75c37401117b636b7ae50827a"
     },
     "base64enc": {
       "Package": "base64enc",
@@ -558,10 +635,10 @@
     },
     "bitops": {
       "Package": "bitops",
-      "Version": "1.0-8",
+      "Version": "1.0-9",
       "Source": "Repository",
       "Repository": "CRAN",
-      "Hash": "da69e6b6f8feebec0827205aad3fdbd8"
+      "Hash": "d972ef991d58c19e6efa71b21f5e144b"
     },
     "blob": {
       "Package": "blob",
@@ -575,6 +652,18 @@
       ],
       "Hash": "40415719b5a479b87949f3aa0aee737c"
     },
+    "boot": {
+      "Package": "boot",
+      "Version": "1.3-29",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "graphics",
+        "stats"
+      ],
+      "Hash": "a0cb8a465a115fd8460cab1a5b18a5f3"
+    },
     "brio": {
       "Package": "brio",
       "Version": "1.1.5",
@@ -585,6 +674,26 @@
       ],
       "Hash": "c1ee497a6d999947c2c224ae46799b1a"
     },
+    "broom": {
+      "Package": "broom",
+      "Version": "1.0.7",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "backports",
+        "dplyr",
+        "generics",
+        "glue",
+        "lifecycle",
+        "purrr",
+        "rlang",
+        "stringr",
+        "tibble",
+        "tidyr"
+      ],
+      "Hash": "8fcc818f3b9887aebaf206f141437cc9"
+    },
     "bslib": {
       "Package": "bslib",
       "Version": "0.8.0",
@@ -607,6 +716,17 @@
       ],
       "Hash": "b299c6741ca9746fb227debcb0f9fb6c"
     },
+    "caTools": {
+      "Package": "caTools",
+      "Version": "1.18.3",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "bitops"
+      ],
+      "Hash": "ab79c733080d83b4ad8a2cc33c1ef393"
+    },
     "cachem": {
       "Package": "cachem",
       "Version": "1.1.0",
@@ -777,6 +897,17 @@
       ],
       "Hash": "bb097fccb22d156624fd07cd2894ddb6"
     },
+    "corpcor": {
+      "Package": "corpcor",
+      "Version": "1.6.10",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "stats"
+      ],
+      "Hash": "17ebe3b6d75d09c5bab3891880b34237"
+    },
     "cowplot": {
       "Package": "cowplot",
       "Version": "1.1.3",
@@ -839,7 +970,7 @@
     },
     "dendextend": {
       "Package": "dendextend",
-      "Version": "1.17.1",
+      "Version": "1.18.0",
       "Source": "Repository",
       "Repository": "CRAN",
       "Requirements": [
@@ -851,7 +982,7 @@
         "utils",
         "viridis"
       ],
-      "Hash": "043fafb791081fc553f29021bd0a9a01"
+      "Hash": "769fa78232320ee628c21c2eb07b6981"
     },
     "desc": {
       "Package": "desc",
@@ -892,6 +1023,30 @@
       ],
       "Hash": "33698c4b3127fc9f506654607fb73676"
     },
+    "doBy": {
+      "Package": "doBy",
+      "Version": "4.6.24",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "Deriv",
+        "MASS",
+        "Matrix",
+        "R",
+        "boot",
+        "broom",
+        "cowplot",
+        "dplyr",
+        "ggplot2",
+        "methods",
+        "microbenchmark",
+        "modelr",
+        "rlang",
+        "tibble",
+        "tidyr"
+      ],
+      "Hash": "8ddf795104defe53c5392a588888ec68"
+    },
     "doParallel": {
       "Package": "doParallel",
       "Version": "1.0.17",
@@ -1019,6 +1174,13 @@
       ],
       "Hash": "6b567375113ceb7d9f800de4dd42218e"
     },
+    "fANCOVA": {
+      "Package": "fANCOVA",
+      "Version": "0.6-1",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "2557114e4acc64d572add2881d725bde"
+    },
     "fansi": {
       "Package": "fansi",
       "Version": "1.0.6",
@@ -1329,14 +1491,29 @@
     },
     "glue": {
       "Package": "glue",
-      "Version": "1.7.0",
+      "Version": "1.8.0",
       "Source": "Repository",
       "Repository": "CRAN",
       "Requirements": [
         "R",
         "methods"
       ],
-      "Hash": "e0b3a53876554bd45879e596cdb10a52"
+      "Hash": "5899f1eaa825580172bb56c08266f37c"
+    },
+    "gplots": {
+      "Package": "gplots",
+      "Version": "3.2.0",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "KernSmooth",
+        "R",
+        "caTools",
+        "gtools",
+        "methods",
+        "stats"
+      ],
+      "Hash": "d24febf39c58dcb5a6cc6a12bd66d40a"
     },
     "graphlayouts": {
       "Package": "graphlayouts",
@@ -1407,6 +1584,18 @@
       ],
       "Hash": "e18861963cbc65a27736e02b3cd3c4a0"
     },
+    "gtools": {
+      "Package": "gtools",
+      "Version": "3.9.5",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "methods",
+        "stats",
+        "utils"
+      ],
+      "Hash": "588d091c35389f1f4a9d533c8d709b35"
+    },
     "here": {
       "Package": "here",
       "Version": "1.0.1",
@@ -1650,6 +1839,48 @@
       ],
       "Hash": "74c3b64358e0be7edc3ecd130816dd3f"
     },
+    "lme4": {
+      "Package": "lme4",
+      "Version": "1.1-35.5",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "MASS",
+        "Matrix",
+        "R",
+        "Rcpp",
+        "RcppEigen",
+        "boot",
+        "graphics",
+        "grid",
+        "lattice",
+        "methods",
+        "minqa",
+        "nlme",
+        "nloptr",
+        "parallel",
+        "splines",
+        "stats",
+        "utils"
+      ],
+      "Hash": "16a08fc75007da0d08e0c0388c7c33e6"
+    },
+    "lmerTest": {
+      "Package": "lmerTest",
+      "Version": "3.1-3",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "MASS",
+        "R",
+        "ggplot2",
+        "lme4",
+        "methods",
+        "numDeriv",
+        "stats"
+      ],
+      "Hash": "f04948de84602afc23bfa9f5427e954d"
+    },
     "locfit": {
       "Package": "locfit",
       "Version": "1.5-9.10",
@@ -1721,6 +1952,18 @@
       ],
       "Hash": "110ee9d83b496279960e162ac97764ce"
     },
+    "microbenchmark": {
+      "Package": "microbenchmark",
+      "Version": "1.5.0",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "graphics",
+        "stats"
+      ],
+      "Hash": "f9d226d88d4087d817d4e616626ce8e5"
+    },
     "mime": {
       "Package": "mime",
       "Version": "0.12",
@@ -1731,6 +1974,34 @@
       ],
       "Hash": "18e9c28c1d3ca1560ce30658b22ce104"
     },
+    "minqa": {
+      "Package": "minqa",
+      "Version": "1.2.8",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "Rcpp"
+      ],
+      "Hash": "785ef8e22389d4a7634c6c944f2dc07d"
+    },
+    "modelr": {
+      "Package": "modelr",
+      "Version": "0.1.11",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "broom",
+        "magrittr",
+        "purrr",
+        "rlang",
+        "tibble",
+        "tidyr",
+        "tidyselect",
+        "vctrs"
+      ],
+      "Hash": "4f50122dc256b1b6996a4703fecea821"
+    },
     "munsell": {
       "Package": "munsell",
       "Version": "0.5.1",
@@ -1742,6 +2013,17 @@
       ],
       "Hash": "4fd8900853b746af55b81fda99da7695"
     },
+    "mvtnorm": {
+      "Package": "mvtnorm",
+      "Version": "1.3-1",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "stats"
+      ],
+      "Hash": "77c61d51ce0f36e3c1a76e6b295aab31"
+    },
     "nlme": {
       "Package": "nlme",
       "Version": "3.1-164",
@@ -1756,6 +2038,33 @@
       ],
       "Hash": "a623a2239e642806158bc4dc3f51565d"
     },
+    "nloptr": {
+      "Package": "nloptr",
+      "Version": "2.1.1",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "27550641889a3abf3aec4d91186311ec"
+    },
+    "nortest": {
+      "Package": "nortest",
+      "Version": "1.0-4",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "stats"
+      ],
+      "Hash": "e587e7a30c737ad415590976481332e4"
+    },
+    "numDeriv": {
+      "Package": "numDeriv",
+      "Version": "2016.8-1.1",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R"
+      ],
+      "Hash": "df58958f293b166e4ab885ebcad90e02"
+    },
     "openssl": {
       "Package": "openssl",
       "Version": "2.2.2",
@@ -1802,6 +2111,24 @@
       ],
       "Hash": "e23fb9ecb1258207bcb763d78d513439"
     },
+    "pbkrtest": {
+      "Package": "pbkrtest",
+      "Version": "0.5.3",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "MASS",
+        "Matrix",
+        "R",
+        "broom",
+        "doBy",
+        "dplyr",
+        "lme4",
+        "methods",
+        "numDeriv"
+      ],
+      "Hash": "938e6bbc4ac57534f8b43224506a8966"
+    },
     "pheatmap": {
       "Package": "pheatmap",
       "Version": "1.0.12",
@@ -2055,6 +2382,18 @@
       ],
       "Hash": "5e3c5dc0b071b21fa128676560dbe94d"
     },
+    "rbibutils": {
+      "Package": "rbibutils",
+      "Version": "2.3",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "tools",
+        "utils"
+      ],
+      "Hash": "dfc034a172fd88fc66b1a703894c4185"
+    },
     "readr": {
       "Package": "readr",
       "Version": "2.1.5",
@@ -2093,6 +2432,27 @@
       ],
       "Hash": "8cf9c239b96df1bbb133b74aef77ad0a"
     },
+    "remaCor": {
+      "Package": "remaCor",
+      "Version": "0.0.18",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "EnvStats",
+        "R",
+        "Rcpp",
+        "RcppArmadillo",
+        "Rdpack",
+        "compiler",
+        "ggplot2",
+        "grid",
+        "methods",
+        "mvtnorm",
+        "reshape2",
+        "stats"
+      ],
+      "Hash": "08a3cc7b81538ee6ee8564e842f6a0ca"
+    },
     "rematch": {
       "Package": "rematch",
       "Version": "2.0.0",
@@ -2112,13 +2472,13 @@
     },
     "renv": {
       "Package": "renv",
-      "Version": "1.0.9",
+      "Version": "1.0.10",
       "Source": "Repository",
       "Repository": "CRAN",
       "Requirements": [
         "utils"
       ],
-      "Hash": "ef233f0e9064fc88c898b340c9add5c2"
+      "Hash": "d0387d5687ec933dd7587efd4cfa2d85"
     },
     "reshape2": {
       "Package": "reshape2",
@@ -2340,10 +2700,10 @@
     },
     "sys": {
       "Package": "sys",
-      "Version": "3.4.2",
+      "Version": "3.4.3",
       "Source": "Repository",
       "Repository": "CRAN",
-      "Hash": "3a1be13d68d47a8cd0bfd74739ca1555"
+      "Hash": "de342ebfebdbf40477d0758d05426646"
     },
     "systemfonts": {
       "Package": "systemfonts",
@@ -2574,6 +2934,42 @@
       ],
       "Hash": "62b65c52671e6665f803ff02954446e9"
     },
+    "variancePartition": {
+      "Package": "variancePartition",
+      "Version": "1.32.5",
+      "Source": "Bioconductor",
+      "Repository": "Bioconductor 3.18",
+      "Requirements": [
+        "Biobase",
+        "BiocParallel",
+        "MASS",
+        "Matrix",
+        "R",
+        "Rdpack",
+        "RhpcBLASctl",
+        "aod",
+        "corpcor",
+        "fANCOVA",
+        "ggplot2",
+        "gplots",
+        "grDevices",
+        "graphics",
+        "iterators",
+        "limma",
+        "lme4",
+        "lmerTest",
+        "matrixStats",
+        "methods",
+        "pbkrtest",
+        "remaCor",
+        "reshape2",
+        "rlang",
+        "scales",
+        "stats",
+        "utils"
+      ],
+      "Hash": "8d17907a59342ac6f97954d1f14248e8"
+    },
     "vctrs": {
       "Package": "vctrs",
       "Version": "0.6.5",
@@ -2675,7 +3071,7 @@
     },
     "xfun": {
       "Package": "xfun",
-      "Version": "0.47",
+      "Version": "0.48",
       "Source": "Repository",
       "Repository": "CRAN",
       "Requirements": [
@@ -2684,7 +3080,7 @@
         "stats",
         "tools"
       ],
-      "Hash": "36ab21660e2d095fef0d83f689e0477c"
+      "Hash": "89e455b87c84e227eb7f60a1b4e5fe1f"
     },
     "xml2": {
       "Package": "xml2",
diff --git a/renv/activate.R b/renv/activate.R
index c360bf2..c19fc3e 100755
--- a/renv/activate.R
+++ b/renv/activate.R
@@ -2,7 +2,7 @@
 local({
 
   # the requested version of renv
-  version <- "1.0.9"
+  version <- "1.0.10"
   attr(version, "sha") <- NULL
 
   # the project directory
diff --git a/vignettes/Docker-instructions.Rmd b/vignettes/Docker-instructions.Rmd
index 9b1459c..fc8aea8 100755
--- a/vignettes/Docker-instructions.Rmd
+++ b/vignettes/Docker-instructions.Rmd
@@ -65,7 +65,7 @@ document.addEventListener("DOMContentLoaded", function() {
 
 To pull the Docker container, use the following command. Make sure to check for the newest version or the specific version you need by visiting the [Docker Hub repository](https://hub.docker.com/r/thomasrauter/splineomics).
 
-```{r eval=FALSE}
+``` bash
 docker pull thomasrauter/splineomics:0.1.0
 ```
 
@@ -75,10 +75,9 @@ If you face 'permission denied' issues, check out [this vignette](https://raw.gi
 
 To run the `Docker` container, you can use one of the following commands, depending on your operating system. Before running the command, ensure that you are in a directory containing two subfolders: `input` and `output`. These will be used to transfer files between your local machine and the Docker container.
 
-For Linux and macOS:
+For Linux and macOS (`Bash`):
 
-```{r eval=FALSE}
-# Bash
+```bash
 docker run -it -d \
     -v $(pwd)/input:/home/rstudio/input \
     -v $(pwd)/output:/home/rstudio/output \
@@ -88,10 +87,9 @@ docker run -it -d \
     thomasrauter/splineomics:0.1.0
 ```
 
-For Windows:
+For Windows (`PowerShell`):
 
-```{r eval=FALSE}
-# PowerShell
+```powershell
 docker run -it -d `
     -v "${PWD}\input:/home/rstudio/input" `
     -v "${PWD}\output:/home/rstudio/output" `
@@ -111,13 +109,13 @@ As long as the container is running, you can work on that localhost page with RS
 
 Stop the container:
 
-```{r eval=FALSE}
+```bash
 docker stop splineomics
 ```
 
 Start the container again:
 
-```{r eval=FALSE}
+```bash
 docker start splineomics
 ```
 
@@ -139,7 +137,7 @@ The `input` and `output` directories on your local machine are mounted to corres
 
 To see all the R packages and system installations that make up the `Docker` container, you can run the following command in the terminal of RStudio on your localhost browser page.
 
-```{r eval=FALSE}
+```bash
 cp -r /log home/rstudio/output
 ```
 
@@ -161,7 +159,7 @@ If you want to permanently add R packages, R scripts, or other files to the Spli
 
 For example:
 
-```{r eval=FALSE}
+```bash
 # Use the SplineOmics image as the base image
 FROM thomasrauter/splineomics:0.1.0
 
@@ -194,7 +192,7 @@ When you have your final analysis script inside the Docker container of the `Spl
 
 Ensure all analysis scripts and necessary files are saved in a dedicated directory inside the container (e.g., `/home/rstudio/analysis/`). Your analysis script should take the input files from a directory like /home/rstudio/input/ (which is already inside the container and does not need to be mounted again when reproducing the analysis) and output all results to /home/rstudio/output/. The /home/rstudio/output/ directory is mounted to a local directory on the user’s machine, making the results accessible outside the container. Example directory structure:
 
-```{r eval=FALSE}
+```bash
 /home/rstudio/
 └── analysis/
     ├── final_analysis.R   # Main analysis script
@@ -207,7 +205,7 @@ Create a bash script (run_analysis.sh) that runs your analysis automatically.
 
 Example run_analysis.sh:
 
-```{r eval=FALSE}
+```bash
 #!/bin/bash
 Rscript /home/rstudio/analysis/final_analysis.R
 tail -f /dev/null  # Keep the container running after analysis
@@ -219,7 +217,7 @@ Save this script in `/home/rstudio/`.
 
 Once your scripts are ready, commit the running container as a new image and set the new entry point to run the bash script automatically:
 
-```{r eval=FALSE}
+```bash
 docker commit \
     --change='CMD ["/bin/bash", "/home/rstudio/run_analysis.sh"]' \
     <container_id> \
@@ -230,13 +228,13 @@ docker commit \
 
 Push the new image to `Docker Hub` so others can easily pull and reproduce the analysis:
 
-```{r eval=FALSE}
+```bash
 docker push thomasrauter/splineomics-analysis:v1
 ```
 
 Others can pull (download) the container with this command:
 
-```{r eval=FALSE}
+```bash
 docker pull thomasrauter/splineomics-analysis:v1
 ```
 
@@ -246,7 +244,7 @@ To reproduce the results, you need to create a local directory where the results
 
 Use the following command to run the container and ensure that the results are saved to the local output directory (see commands in section Running the `Docker` Container above how to mount the `output` dir in the current working dir).
 
-```{r eval=FALSE}
+```bash
 docker run -it \
     -v /path/to/local/output:/home/rstudio/output \
     thomasrauter/splineomics-analysis:v1
@@ -256,7 +254,7 @@ docker run -it \
 
 Start a new container and mount an empty local directory to the /home/rstudio/ directory inside the container. This allows you to directly access all the analysis files on your local machine.
 
-```{r eval=FALSE}
+```bash
 docker run -it \
     -v /path/to/local/dir:/home/rstudio \
     thomasrauter/splineomics-analysis:v1
diff --git a/vignettes/design_limma_design_formula.Rmd b/vignettes/design_limma_design_formula.Rmd
index 2f31b9b..cdc88c6 100755
--- a/vignettes/design_limma_design_formula.Rmd
+++ b/vignettes/design_limma_design_formula.Rmd
@@ -137,3 +137,9 @@ contrast <- makeContrasts(
 - `~ 1 + factor1 + factor2`: Additive model with an intercept.
 - `~ 0 + factor1 * factor2`: Model with main effects and their interaction, no intercept.
 - `~ 1 + factor1 * factor2`: Model with intercept, main effects, and their interaction.
+
+# Session Info
+
+```{r sessionInfo, echo=FALSE}
+sessionInfo()
+```
diff --git a/vignettes/get-started.Rmd b/vignettes/get-started.Rmd
index de48246..e3240d3 100755
--- a/vignettes/get-started.Rmd
+++ b/vignettes/get-started.Rmd
@@ -63,9 +63,9 @@ viewed [here](https://csbg.github.io/SplineOmics/reference)
 
 ```{r setup, eval = TRUE}
 library(SplineOmics)
-library(readxl)  # for loading Excel files
-library(here)    # For managing filepaths
-library(dplyr)   # For data manipulation
+library(readxl) # for loading Excel files
+library(here) # For managing filepaths
+library(dplyr) # For data manipulation
 ```
 
 # Load the files
@@ -96,12 +96,11 @@ the annotation info, which can be copied in a separate dataframe, as
 shown below.
 
 ```{r load the files}
-
 data <- readRDS(system.file(
   "extdata",
   "proteomics_data.rds",
   package = "SplineOmics"
-  ))
+))
 
 
 meta <- read_excel(
@@ -109,11 +108,11 @@ meta <- read_excel(
     "extdata",
     "proteomics_meta.xlsx",
     package = "SplineOmics"
-    )
   )
+)
 
 # Extract the annotation part from the dataframe.
-first_na_col <- which(is.na(data[1,]))[1]
+first_na_col <- which(is.na(data[1, ]))[1]
 annotation <- data |>
   dplyr::select((first_na_col + 1):ncol(data)) |>
   dplyr::slice(-c(1:3))
@@ -123,7 +122,7 @@ print(meta)
 print(annotation)
 ```
 
-Two comments about the characteristics the input data should have:
+Three comments about the characteristics the input data should have:
 
 -   The data must not contain any NA values or other special values, and
     must consist only of numbers. For example, the original proteomics
@@ -140,6 +139,9 @@ Two comments about the characteristics the input data should have:
     from normality. Proper transformation helps ensure that the
     assumptions underlying the statistical tests are met, leading to
     more accurate and trustworthy results.
+    
+-   The samples in the data should be independent of each other. Linear models,       such as those used in limma, assume that the observations (samples) are           independent. If there is a dependency between samples (e.g., repeated             measurements of the same subject), this assumption is violated, which can
+    lead to incorrect statistical inferences. 
 
 ## Bring the Inputs into the Standardized Format
 
@@ -185,10 +187,10 @@ data <- SplineOmics::extract_data(
   # The dataframe with the numbers on the left and info on the right.
   data = data,
   # Use this annotation column for the feature names.
-  feature_name_columns = c("Gene_name"),  
+  feature_name_columns = c("Gene_name"),
   # When TRUE, you must confirm that data is in the required format.
-  user_prompt = FALSE   
-  )
+  user_prompt = FALSE
+)
 ```
 
 # Perform EDA (exploratory data analysis)
@@ -257,7 +259,7 @@ optional arguments:
 
 ```{r Load EDA arguments, eval = TRUE}
 # Those fields are mandatory, because we believe that when such a report is
-# opened after half a year, those infos can be very helpful. 
+# opened after half a year, those infos can be very helpful.
 report_info <- list(
   omics_data_type = "PTX",
   data_description = "Proteomics data of CHO cells",
@@ -265,12 +267,12 @@ report_info <- list(
   analyst_name = "Thomas Rauter",
   contact_info = "thomas.rauter@plus.ac.at",
   project_name = "DGTX"
-  )
+)
 
 report_dir <- here::here(
   "results",
   "explore_data"
-  )
+)
 ```
 
 ## SplineOmics Object
@@ -328,12 +330,12 @@ splineomics <- SplineOmics::create_splineomics(
   meta = meta,
   annotation = annotation,
   report_info = report_info,
-  condition = "Phase",  # Column of meta that contains the levels.
-  meta_batch_column = "Reactor"  # For batch effect removal
+  condition = "Phase", # Column of meta that contains the levels.
+  meta_batch_column = "Reactor" # For batch effect removal
 )
 
 # Special print.SplineOmics function leads to selective printing
-print(splineomics)   
+print(splineomics)
 ```
 
 Now that we have the SplineOmics object defined, we can perform our
@@ -341,10 +343,9 @@ exploratory data analysis.
 
 ```{r Run EDA function, eval = FALSE}
 plots <- SplineOmics::explore_data(
-  splineomics = splineomics,   # SplineOmics object
+  splineomics = splineomics, # SplineOmics object
   report_dir = report_dir
-  )
-
+)
 ```
 
 [Here](https://csbg.github.io/SplineOmics_html_reports/explore_data_PTX.html)
@@ -473,77 +474,77 @@ select the optimal hyperparameters for your analysis.
 Below is an example for our proteomics data:
 
 ```{r Load hyperparameter-screening args, eval = TRUE}
-data1 <- data 
+data1 <- data
 meta1 <- meta
 
 # Remove the "outliers"
 data2 <- data[, !(colnames(data) %in% c(
-  "E12_TP05_Exponential", 
+  "E12_TP05_Exponential",
   "E10_TP10_Stationary"
-  )
-  )]
+)
+)]
 
 # Adjust meta so that it matches data2
 meta2 <- meta[!meta$Sample.ID %in% c(
-  "E12_TP05_Exponential", 
+  "E12_TP05_Exponential",
   "E10_TP10_Stationary"
-  ), ]
+), ]
 
-# As mentioned above, all the values of one hyperparameter are stored 
+# As mentioned above, all the values of one hyperparameter are stored
 # and provided as a list.
-datas <- list(data1, data2) 
+datas <- list(data1, data2)
 
 # This will be used to describe the versions of the data.
 datas_descr <- c(
   "full_data",
   "outliers_removed"
-  ) 
+)
 
-metas <- list(meta1, meta2) 
+metas <- list(meta1, meta2)
 
 # Test two different limma designs
 designs <- c(
   "~ 1 + Phase*X + Reactor",
   "~ 1 + X + Reactor"
-  ) 
+)
 
 # 'Integrated means' limma will use the full dataset to generate the results for
-# each condition. 'Isolated' means limma will use only the respective part of 
-# the dataset for each condition. Designs that contain the condition column 
+# each condition. 'Isolated' means limma will use only the respective part of
+# the dataset for each condition. Designs that contain the condition column
 # (here Phase) must have mode 'integrated', because the full data is needed to
 # include the different conditions into the design formula.
 modes <- c(
   "integrated",
   "isolated"
-  )
+)
 
 # Specify the meta "level" column
-condition <- "Phase" 
+condition <- "Phase"
 
 report_dir <- here::here(
   "results",
   "hyperparams_screen_reports"
-  ) 
+)
 
 # To remove the batch effect
-meta_batch_column = "Reactor" 
+meta_batch_column <- "Reactor"
 
 # Test out two different p-value thresholds (inner hyperparameter)
 adj_pthresholds <- c(
   0.05,
   0.1
-  )
+)
 
 # Create a dataframe with combinations of spline parameters to test
 # (every row a combo to test)
 spline_test_configs <- data.frame(
-   # 'n' stands for natural cubic splines, b for B-splines.
-  spline_type = c("n", "n", "b", "b"),  
+  # 'n' stands for natural cubic splines, b for B-splines.
+  spline_type = c("n", "n", "b", "b"),
   # Degree is not applicable (NA) for natural splines.
-  degree = c(NA, NA, 2L, 4L),           
+  degree = c(NA, NA, 2L, 4L),
   # Degrees of freedom (DoF) to test.
   # Higher dof means spline can fit more complex patterns.
-  dof = c(2L, 3L, 3L, 4L)         
+  dof = c(2L, 3L, 3L, 4L)
 )
 
 print(spline_test_configs)
@@ -563,8 +564,7 @@ SplineOmics::screen_limma_hyperparams(
   spline_test_configs = spline_test_configs,
   report_dir = report_dir,
   adj_pthresholds = adj_pthresholds,
-  )
-
+)
 ```
 
 As mentioned, this function generates a report for each comparison of
@@ -607,14 +607,14 @@ To generate the limma result categories 2 and 3 ()
 ```{r Update the SplineOmics object, eval = TRUE}
 splineomics <- SplineOmics::update_splineomics(
   splineomics = splineomics,
-  design = "~ 1 + Phase*X + Reactor",  # best design formula
-  mode = "integrated",  # means limma uses the full data for each condition.
-  data = data2,   # data without "outliers" was better
-  meta = meta2,  
+  design = "~ 1 + Phase*X + Reactor", # best design formula
+  mode = "integrated", # means limma uses the full data for each condition.
+  data = data2, # data without "outliers" was better
+  meta = meta2,
   spline_params = list(
-    spline_type = c("n"),   # natural cubic splines (take these if unsure)
-    dof = c(2L)  # If you are unsure about which dof, start with 2 and increase
-    )
+    spline_type = c("n"), # natural cubic splines (take these if unsure)
+    dof = c(2L) # If you are unsure about which dof, start with 2 and increase
+  )
 )
 ```
 
@@ -624,7 +624,7 @@ object:
 ```{r limma spline analysis, eval = TRUE}
 splineomics <- SplineOmics::run_limma_splines(
   splineomics = splineomics
-  )
+)
 ```
 
 The output of the function run_limma_splines() is a named list, where
@@ -655,12 +655,12 @@ generate p-value histograms an volcano plots.
 report_dir <- here::here(
   "results",
   "create_limma_reports"
-  )
+)
 
 plots <- SplineOmics::create_limma_report(
   splineomics = splineomics,
   report_dir = report_dir
-  )
+)
 ```
 
 You can view the generated analysis report of the create_limma_report
@@ -687,26 +687,26 @@ Hierarchical clustering is used to place every hit in one of as many
 clusters as we have specified for that specific level.
 
 ```{r cluster the hits, eval = FALSE}
-adj_pthresholds <- c(  # 0.05 for both levels
-  0.05,  # exponential
-  0.05   # stationary
-  )
+adj_pthresholds <- c( # 0.05 for both levels
+  0.05, # exponential
+  0.05 # stationary
+)
 
 clusters <- c(
-  6L,  # 6 clusters for the exponential phase level
-  3L   # 3 clusters for the stationary phase level
-  )
+  6L, # 6 clusters for the exponential phase level
+  3L # 3 clusters for the stationary phase level
+)
 
 report_dir <- here::here(
   "results",
   "clustering_reports"
-  )
+)
 
-plot_info = list(  # For the spline plots
+plot_info <- list( # For the spline plots
   y_axis_label = "log2 intensity",
-  time_unit = "min",  # our measurements were in minutes
-  treatment_labels = list("feeding"),  # add this for all conditions
-  treatment_timepoints = list(0)  # Feeding was at 0 minutes.
+  time_unit = "min", # our measurements were in minutes
+  treatment_labels = list("feeding"), # add this for all conditions
+  treatment_timepoints = list(0) # Feeding was at 0 minutes.
 )
 
 # Like this you can add individual treatment labels to your plots:
@@ -714,14 +714,14 @@ plot_info = list(  # For the spline plots
 #   exponential = "treatment 1", # One treatment in exp
 #   stationary = c("treatment 2", "treatment 3")  # Two treatments in stat
 #   additional_condition = NA  # No treatment in the hypothetical third condition
-#   ) 
-# 
+#   )
+#
 # treatment_timepoints = list(
 #   exponential = 0,
 #   stationary = C(100, 140),  # Two treatments also need two timepoints
 #   additional_condition = NA
-#   )  
-# 
+#   )
+#
 # or set a treatment for ALL conditions (still always make a list):
 #
 # treatment_labels = list("treatment")
@@ -740,10 +740,10 @@ plot_info = list(  # For the spline plots
 gene_column_name <- "Gene_symbol"
 genes <- annotation[[gene_column_name]]
 
-plot_options = list(
+plot_options <- list(
   # When meta_replicate_column is not there, all datapoints are blue.
-  meta_replicate_column = "Reactor",  # Colors the data points based on Reactor
-  cluster_heatmap_columns = FALSE   # Per default FALSE, just for demonstration
+  meta_replicate_column = "Reactor", # Colors the data points based on Reactor
+  cluster_heatmap_columns = FALSE # Per default FALSE, just for demonstration
 )
 
 clustering_results <- SplineOmics::cluster_hits(
@@ -756,7 +756,7 @@ clustering_results <- SplineOmics::cluster_hits(
   report_dir = report_dir,
   adj_pthresh_avrg_diff_conditions = 0,
   adj_pthresh_interaction_condition_time = 0.25
-  )
+)
 ```
 
 You can view the generated analysis report of the cluster_hits function
@@ -789,11 +789,12 @@ gene_set_lib <- c(
   "GO_Biological_Process_2018",
   "GO_Molecular_Function_2018",
   "Human_Gene_Atlas"
-  )
+)
 
 SplineOmics::download_enrichr_databases(
   gene_set_lib = gene_set_lib,
-  filename = "databases.tsv")
+  filename = "databases.tsv"
+)
 ```
 
 Per default the file is placed in the current working directory, which
@@ -823,12 +824,12 @@ clusterProfiler_params <- list(
   minGSSize = 10,
   maxGSSize = 500,
   qvalueCutoff = 0.2
-  )
+)
 
 report_dir <- here::here(
   "results",
   "gsea_reports"
-  )
+)
 ```
 
 The function below runs the clusterProfiler for all clusters and all
@@ -844,7 +845,7 @@ result <- SplineOmics::run_gsea(
   clusterProfiler_params = clusterProfiler_params,
   report_info = report_info,
   report_dir = report_dir
-  )
+)
 ```
 
 You can view the generated analysis report of the cluster_hits function
@@ -890,3 +891,9 @@ We hope that the SplineOmics package makes your scientific data analysis
 easier. If you face any problems (bugs in the code) or are not satisfied
 with the documentation, open an issue on GitHub or check out the other
 options under the Feedback section of the README on GitHub. Thank you!
+
+# Session Info
+
+```{r sessionInfo, echo=FALSE}
+sessionInfo()
+```