Software Open Access
Daniel Himmelstein
{ "description": "<p>Project Rephetio is an open project to systematically repurpose drugs. This release contains the machine learning code and data for Project Rephetio. For more information on Project Rephetio, see https://thinklab.com/p/rephetio and https://doi.org/10.1101/087619.</p>", "license": "https://creativecommons.org/publicdomain/zero/1.0/legalcode", "creator": [ { "@type": "Person", "name": "Daniel Himmelstein" } ], "url": "https://zenodo.org/record/268654", "codeRepository": "https://github.com/dhimmel/learn/tree/v1.0.0", "datePublished": "2017-02-04", "version": "v1.0.0", "keywords": [ "rephetio", "machine learning", "hetnet edge prediction", "drug repurposing", "Rephetio" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.268654", "@id": "https://doi.org/10.5281/zenodo.268654", "@type": "SoftwareSourceCode", "name": "dhimmel/learn v1.0: the machine learning repository for Project Rephetio" }
All versions | This version | |
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Views | 206 | 207 |
Downloads | 28 | 28 |
Data volume | 380.8 MB | 380.8 MB |
Unique views | 200 | 201 |
Unique downloads | 26 | 26 |