This repository contains R code for 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
Datasets related to this study are available at https://github.com/dhimmel/het.io-dag-data. Predictions from this study can be viewed at https://het.io/disease-genes/. Python code related to this study is available at https://github.com/dhimmel/het.io-dag-pycode.
This repository is provided for historical and archiving purposing. There is not much documentation on how to use the code. We are happy address specific questions via GitHub Issues.
This repository originally used mercurial and was hosted on BitBucket at https://bitbucket.org/dhimmel/rhetio.
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. The local copy matched the version archived by Software Heritage. Using the hg-git mercurial plugin, dhimmel pushed the repo to https://github.com/dhimmel/het.io-dag-rcode.
The local repo was dirty, so dhimmel committed and reverted those changes. Going forward the plan is to switch to using git to manage this repository.