Drug Repurposing for Hyperlipidemia Associated Disorders: An Integrative Network Biology and Machine Learning Approach

This repository contains the following files:

• CandidatesRandomForest.ipynb: The script is for rfc classifier training and prediction on data, it also has code for tasks such as generating ROC curves, cross validation and getting prediciton probabilities.
• Drug_M_Des_Downloads.ipynb: The script is to obtain MOL and SMILES data for DrugBank Ids
• Gene_Symbol_Conversion.ipynb: The script is a simple web scraping program for obtaining hsa ids, from a comma separated list of gene symbols/names.
• Data
  • DescriptorsFinal.csv: Contains dataset with 134 data points for rfc classifier training.
  • Descriptors_PredictionSet.csv: This contains the data of the candidates for which we required predictions.
  • CandidatePredictions_Proba.csv: The file has prediction probabilities for candidates given by the classifier.
  • sample_dbIds_geneSym: The folder has sample files for Drug_M_Des_Downloads.ipynb and Gene_Symbol_Conversion.ipynb scripts.