NRLMF<i>ß</i>: Beta-distribution-rescored neighborhood regularized logistic matrix factorization for improving the performance of drug-target interaction prediction.

Ban, Tomohiro; Ohue, Masahito; Akiyama, Yutaka

NRLMFß: Beta-distribution-rescored neighborhood regularized logistic matrix factorization for improving the performance of drug-target interaction prediction.

Ban, Tomohiro; Ohue, Masahito; Akiyama, Yutaka.

Afiliação

Ban T; School of Computing, Tokyo Institute of Technology, 2-12-1 W8-76 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.
Ohue M; AIST-TokyoTech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki, 305-8560, Japan.
Akiyama Y; School of Computing, Tokyo Institute of Technology, 2-12-1 W8-76 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan.

Biochem Biophys Rep ; 18: 100615, 2019 Jul.

Article em En | MEDLINE | ID: mdl-30793050

Palavras-chave

Bayesian inference; Bayesian optimization; Beta distribution; Drugtarget interaction prediction; Neighborhood regularized logistic matrix factorization; Rescoring

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biochem Biophys Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Japão

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