Predicting drug-disease associations by using similarity constrained matrix factorization

Predicting drug-disease associations by using similarity constrained matrix factorization

Abstract Background Drug-disease associations provide important information for the drug discovery. Wet experiments that identify drug-disease associations are time-consuming and expensive. However, many drug-disease associations are still unobserved or unknown. The development of computational meth...

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Bibliographic Details
Main Authors: Wen Zhang, Xiang Yue, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang, Feng Liu
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Bioinformatics
Subjects:
Drug-disease associations
Similarity constrained matrix factorization
Online Access:http://link.springer.com/article/10.1186/s12859-018-2220-4

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http://link.springer.com/article/10.1186/s12859-018-2220-4

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