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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Bibliografiske detaljer

Principais autores:	Jian-Yu Shi, Kui-Tao Mao, Hui Yu, Siu-Ming Yiu
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2019-04-01
Serier:	Journal of Cheminformatics
Fag:	Drug–drug interaction Weak balance theory Semi-nonnegative matrix factorization Regularization Community
Online adgang:	http://link.springer.com/article/10.1186/s13321-019-0352-9
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