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.github/workflows
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.idea
.idea
 
 
.ipynb_checkpoints
.ipynb_checkpoints
 
 
Base_work
Base_work
 
 
Datasets
Datasets
 
 
Extract data
Extract data
 
 
Getting data from Drugbank.com
Getting data from Drugbank.com
 
 
Karim
Karim
 
 
Papers
Papers
 
 
Repositories
Repositories
 
 
SNF_CNN
SNF_CNN
 
 
Writing paper
Writing paper
 
 
Writing thesis
Writing thesis
 
 
.gitattributes
.gitattributes
 
 
Analysis-KoGlove.ipynb
Analysis-KoGlove.ipynb
 
 
Analysis.ipynb
Analysis.ipynb
 
 
Concatenate two vector.ipynb
Concatenate two vector.ipynb
 
 
Cross Validation.ipynb
Cross Validation.ipynb
 
 
DDI_ with names.csv
DDI_ with names.csv
 
 
Data preparing.ipynb
Data preparing.ipynb
 
 
NDD.py
NDD.py
 
 
README.md
README.md
 
 
drugFeatureReductionByManifpold.csv
drugFeatureReductionByManifpold.csv
 
 
drugFeatureReductionBypca.csv
drugFeatureReductionBypca.csv
 
 
drug_drug_matrix.csv
drug_drug_matrix.csv
 
 
drug_list (1).csv
drug_list (1).csv
 
 
drug_list.txt
drug_list.txt
 
 
drugs.csv
drugs.csv
 
 
feature_selection.ipynb
feature_selection.ipynb
 
 
panel_guidelines.pdf
panel_guidelines.pdf
 
 
pretty-print-confusion-matrix-master.zip
pretty-print-confusion-matrix-master.zip
 
 
readDS1.ipynb
readDS1.ipynb
 
 
readDS1.py
readDS1.py
 
 
saved DF.csv
saved DF.csv
 
 
saved drug.csv
saved drug.csv
 
 

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We are trying to give novel method for DDI problem that can predict interactons more acurate. Mohammad Amin Khodamoradi, Bahareh Levian, Dr. Changiz Eslahchi

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data-science machine-learning bioinformatics deep-learning drug-discovery drug-drug-interaction

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