Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization

Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization

Abstract Background Because drug–drug interactions (DDIs) may cause adverse drug reactions or contribute to complex-disease treatments, it is important to identify DDIs before multiple-drug medications are prescribed. As the alternative of high-cost experimental identifications, computational approa...

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Bibliographic Details
Main Authors: Jian-Yu Shi, Kui-Tao Mao, Hui Yu, Siu-Ming Yiu
Format: Article
Language:English
Published: BMC 2019-04-01
Series:Journal of Cheminformatics
Subjects:
Drug–drug interaction
Weak balance theory
Semi-nonnegative matrix factorization
Regularization
Community
Online Access:http://link.springer.com/article/10.1186/s13321-019-0352-9

Internet

http://link.springer.com/article/10.1186/s13321-019-0352-9

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