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Drug Repurposing

This project computes the prediction probability of whether a compound will treat a disease. In another term, the project deals with repurposing the drugs to a disease, which is not a treatment at the moment.

Prerequisites

In order to run the assests you will need the following:

  • Install Neo4j
  • Python 3
  • R

NoteBooks

  1. Drug_Disease_HomogeneousPlot.py - Runs the homogeneous plot for the Drug and Disease pairs.
  2. Drug_Gene_HomogeneousPlot.py - Runs the homogeneous plot for the Drug and Gene pairs.
  3. Merging_Features.ipynb - Merges the features extracted from network and transforms them to transformed-features.csv.
  4. Drug_Repurposing_Model.Rmd - Creates and run the model for predictions.

Components

  • Data - the directory containing all the input csv files.
  • Neo4j - the directory containing the data and code files to run the scripts in Neo4j.
  • Viz - the directory containing all the network vizualizations

Authors

  • Sarvesh Prattipati

Acknowledgments

  • Daniel Himmelstein

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Predicting New Compound Indication using Heterogeneous Networks

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