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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ban, Tomohiro, Ohue, Masahito, Akiyama, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370585/
https://www.ncbi.nlm.nih.gov/pubmed/30793050
http://dx.doi.org/10.1016/j.bbrep.2019.01.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370585/
https://www.ncbi.nlm.nih.gov/pubmed/30793050
http://dx.doi.org/10.1016/j.bbrep.2019.01.008

Ejemplares similares