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.
