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Assuming familiarity with R and with the SingleCellExperiment container, all you would need to do is to carry out lines 290-310 here:
R
subtypeHeterogeneity/vignettes/singlecell.Rmd
Line 290 in 0f275d2
and access the colData of the obtained SingleCellExperiments which includes, among other things, the cell type annotation.
colData
SingleCellExperiment
For example here for Tumor T59:
> colData(sces[["T59"]])[,c("Barcode", "subtype", "celltype")] DataFrame with 13040 rows and 3 columns Barcode subtype celltype <character> <character> <character> 1 AAACCTGAGCTGCCCA-1 DIF MYE 2 AAACCTGAGTCATCCA-1 DIF MYE 3 AAACCTGCAAGCCCAC-1 IMR MYE 4 AAACCTGCAAGCGCTC-1 DIF EPI 5 AAACCTGCACGTAAGG-1 DIF EPI ... ... ... ... 13036 TTTGTCATCCCTTGCA-1 DIF MYE 13037 TTTGTCATCCGTACAA-1 DIF MYE 13038 TTTGTCATCCTCCTAG-1 DIF EPI 13039 TTTGTCATCGGTCTAA-1 DIF EPI 13040 TTTGTCATCTAACTCT-1 DIF MYE
The text was updated successfully, but these errors were encountered:
The cell metadata for each tumor can also be obtained as flat text files here:
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Assuming familiarity with
R
and with the SingleCellExperiment container, all you would need to do is to carry out lines 290-310 here:subtypeHeterogeneity/vignettes/singlecell.Rmd
Line 290 in 0f275d2
and access the
colData
of the obtainedSingleCellExperiment
s which includes, among other things, the cell type annotation.For example here for Tumor T59:
The text was updated successfully, but these errors were encountered: