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Article: TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs

TitleTMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs
Authors
Issue Date2019
Citation
BMC Bioinformatics, 2019, v. 19-S, p. 27-37 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/277572

 

DC FieldValueLanguage
dc.contributor.authorShi, J-Y-
dc.contributor.authorLi, J-X-
dc.contributor.authorLei, P-
dc.contributor.authorZhang, Y-N-
dc.contributor.authorDong, K-
dc.contributor.authorYiu, SM-
dc.date.accessioned2019-09-20T08:53:36Z-
dc.date.available2019-09-20T08:53:36Z-
dc.date.issued2019-
dc.identifier.citationBMC Bioinformatics, 2019, v. 19-S, p. 27-37-
dc.identifier.urihttp://hdl.handle.net/10722/277572-
dc.languageeng-
dc.relation.ispartofBMC Bioinformatics-
dc.titleTMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs-
dc.typeArticle-
dc.identifier.emailYiu, SM: smyiu@cs.hku.hk-
dc.identifier.authorityYiu, SM=rp00207-
dc.identifier.hkuros305933-
dc.identifier.volume19-S-
dc.identifier.spage27-
dc.identifier.epage37-

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