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

 
: Muslu, Özlem; Hoyt, Charles Tapley; Lacerda, Mauricio Pio de; Hofmann-Apitius, Martin; Fröhlich, Holger

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IEEE ACM transactions on computational biology and bioinformatics (2020), Online First, 11 S.
ISSN: 1545-5963
ISSN: 1557-9964
Fraunhofer-Gesellschaft FhG

Human Brain Pharmacome
Englisch
Zeitschriftenaufsatz
Fraunhofer SCAI ()
artificial intelligence; neural networks; bioinformatic

Abstract
Objective: The majority of clinical trials fail due to low efficacy of investigated drugs, often resulting from a poor choice of target protein. Existing computational approaches aim to support target selection either via genetic evidence or by putting potential targets into the context of disease specific network reconstructions.

: http://publica.fraunhofer.de/dokumente/N-596945.html