Hetionet is a hetnet — network with multiple node and edge (relationship) types — which encodes biology. The hetnet was designed for Project Rephetio, which aims to systematically identify why drugs work and predict new therapies for drugs. The research article describing Project Rephetio and Hetionet v1.0 is:
Systematic integration of biomedical knowledge prioritizes drugs for repurposing Daniel S Himmelstein, Antoine Lizee, Christine Hessler, Leo Brueggeman, Sabrina L Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, Sergio E Baranzini eLife (2017-09-22) DOI:
For more information, please visit the project website at: https://het.io/
This dataset was sourced from hetio/hetionet on Github. The Github repository contains more information about how to use Hetionet and how the data was integrated.
The data is available for download in four formats:
In addition, five versions of hetionet are included which have randomized graph edges.
Taken from the original Github repository:
All original content in this repository is released as CC0. However, the hetnet integrates data from many resources and users should consider the licensing of each source (see this table). We apply a license attribute on a per node and per edge basis for sources with defined licenses. However, some resources don't provide any license, so for those we've requested permission. More information is available on Thinklab.
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