Predicting drug-disease associations by using similarity constrained matrix factorization

BACKGROUND: Drug-disease associations provide important information for the drug discovery. Wet experiments that identify drug-disease associations are time-consuming and expensive. However, many drug-disease associations are still unobserved or unknown. The development of computational methods for...

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Detalles Bibliográficos
Autores principales: Zhang, Wen, Yue, Xiang, Lin, Weiran, Wu, Wenjian, Liu, Ruoqi, Huang, Feng, Liu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006580/
https://www.ncbi.nlm.nih.gov/pubmed/29914348
http://dx.doi.org/10.1186/s12859-018-2220-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006580/
https://www.ncbi.nlm.nih.gov/pubmed/29914348
http://dx.doi.org/10.1186/s12859-018-2220-4

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