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.