VB-MK-LMF: fusion of drugs targets and interactions using variational Bayesian multiple kernel logistic matrix factorization

摘要

BackgroundComputational fusion approaches to drug-target interaction (DTI) prediction, capable of utilizing multiple sources of background knowledge, were reported to achieve superior predictive performance in multiple studies. Other studies showed that specificities of the DTI task, such as weighting the observations and focusing the side information are also vital for reaching top performance.