February 4, 2017 Software Open Access

Daniel Himmelstein

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  <dc:creator>Daniel Himmelstein</dc:creator>
  <dc:date>2017-02-04</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/268654</dc:identifier>
  <dc:identifier>10.5281/zenodo.268654</dc:identifier>
  <dc:identifier>oai:zenodo.org:268654</dc:identifier>
  <dc:relation>url:https://github.com/dhimmel/learn/tree/v1.0.0</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/legalcode</dc:rights>
  <dc:subject>rephetio</dc:subject>
  <dc:subject>machine learning</dc:subject>
  <dc:subject>hetnet edge prediction</dc:subject>
  <dc:subject>drug repurposing</dc:subject>
  <dc:subject>Rephetio</dc:subject>
  <dc:title>dhimmel/learn v1.0: the machine learning repository for Project Rephetio</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>