Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction

In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have been experimentally validated, as the experimental validation is laborious and costly. To improve the drug di...

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Vydáno v:	PLoS computational biology Ročník 12; číslo 2; s. e1004760
Hlavní autoři:	Liu, Yong, Wu, Min, Miao, Chunyan, Zhao, Peilin, Li, Xiao-Li
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 12.02.2016 Public Library of Science (PLoS)
Témata:	Algorithms Biology and Life Sciences Competition Computational Biology - methods Computer and Information Sciences Datasets Drug Discovery - methods Drug interactions Drugs Enzymes Experiments Funding Ligands Logistics Mathematical models Matrices (Mathematics) Medicine and Health Sciences Methods Neighborhoods Performance evaluation Pharmaceutical Preparations - chemistry Pharmaceutical Preparations - metabolism Pharmaceutical sciences Pharmaceuticals Physical Sciences Proteins Proteins - chemistry Proteins - metabolism R&D Research & development Research and Analysis Methods Simulation Software
ISSN:	1553-7358, 1553-734X, 1553-7358
On-line přístup:	Získat plný text
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