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

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

Abstract Background Computational 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...

Full description

Bibliographic Details
Main Authors: Bence Bolgár, Péter Antal
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Bioinformatics
Subjects:
Drug-target interaction prediction
Matrix factorization
Multiple kernel learning
Variational Bayes
Probabilistic graphical models
Online Access:http://link.springer.com/article/10.1186/s12859-017-1845-z

Internet

http://link.springer.com/article/10.1186/s12859-017-1845-z

Similar Items