Data backend for http://het.io/disease-genes/

This repository hosts data for the following study, which used heterogeneous network edge prediction to prioritize disease-associated genes:

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes
Daniel S. Himmelstein, Sergio E. Baranzini
PLOS Computational Biology (2015-07-09) https://doi.org/98q
DOI: 10.1371/journal.pcbi.1004259 · PMID: 26158728 · PMCID: PMC4497619

Predictions from this project can be browsed at https://het.io/disease-genes/. The browser directory stores data files that are used by the browser webapp. The browser directory was not designed to have a user-facing purpose.

The downloads directory hosts project-related datasets for user download. Previousely, these downloads were documented at https://het.io/disease-genes/downloads/, but documentation has now moved to the README.

Most of the code for this study is available in the following repos: serg-pycode, het.io-dag-rcode, hetnetpy, and het.io-dag-pycode.