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

Techniques for predicting interactions between a drug and a target (protein) are useful for strategic drug repositioning. Neighborhood regularized logistic matrix factorization (NRLMF) is one of the state-of-the-art drug–target interaction prediction methods; it is based on a statistical model using...

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Dades bibliogràfiques
Publicat a:Biochem Biophys Rep
Autors principals: Ban, Tomohiro, Ohue, Masahito, Akiyama, Yutaka
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6370585/
https://ncbi.nlm.nih.gov/pubmed/30793050
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bbrep.2019.01.008
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