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dhimmel/learn v1.0: the machine learning repository for Project Rephetio

Name: dhimmel/learn v1.0: the machine learning repository for Project Rephetio
Creator: Daniel Himmelstein
Keywords: machine learning, drug repurposing, Rephetio, rephetio, hetnet edge prediction, 3. Good health

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 04 Feb 2017Publisher:Zenodo

Authors: Daniel Himmelstein;

doi: 10.5281/zenodo.268654

dhimmel/learn v1.0: the machine learning repository for Project Rephetio

- Summary
- Subjects
- Metrics

Abstract

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.

Keywords

machine learning, drug repurposing, Rephetio, rephetio, hetnet edge prediction

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average