Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization

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 approaches pro...

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Detalles Bibliográficos
Autores principales: Shi, Jian-Yu, Mao, Kui-Tao, Yu, Hui, Yiu, Siu-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454721/
https://www.ncbi.nlm.nih.gov/pubmed/30963300
http://dx.doi.org/10.1186/s13321-019-0352-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454721/
https://www.ncbi.nlm.nih.gov/pubmed/30963300
http://dx.doi.org/10.1186/s13321-019-0352-9

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