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2020
Journal Article
Titel
GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning
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.
Author(s)
Funder
Fraunhofer-Gesellschaft FhG