Python Code for Hetio Disease-Gene Prediction Study
This repository contains a portion of the Python code related to the study:
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
See also https://github.com/dhimmel/serg-pycode for Python code related to this study.
History
This repository originally used mercurial and was hosted on BitBucket at https://bitbucket.org/dhimmel/pyhetio.
Unfortunately, BitBucket deleted mercurial repos in 2020 without an automated migration path.
On 2020-09-10, dhimmel realized this source code was no longer online.
The repo could not be retrieved from BitBucket, but dhimmel had a local copy in ~/Documents/serg/gene-disease-hetnet/pyhetio.
Using the hg-git mercurial plugin, dhimmel pushed the repo to https://github.com/dhimmel/het.io-dag-pycode.
The extent this python code was used to extract the network-based features for the study is unknown. It's uploaded to GitHub for archiving and historical purposes. This code predates the dedicated hetnetpy Python package at https://github.com/hetio/hetnetpy. Much of this codebase was migrated to that project.