Article

GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning

2019-01-16

Abstract excerpt

The majority of clinical trial failures are caused by low efficacy of investigated drugs, often due to a poor choice of target protein. Computational prioritization approaches aim to support target selection by ranking candidate targets in the context of a given disease. We propose a novel target prioritization approach, GuiltyTargets, which relies on deep network representation learning of a genome-wide protein-p...

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Literature Corpus work: ef10bb75-2b0d-5335-8cce-a1d4b1003260
DOI: 10.1101/521161

Open publication

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