Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization

BACKGROUND: Drug-drug interactions (DDIs) always cause unexpected and even adverse drug reactions. It is important to identify DDIs before drugs are used in the market. However, preclinical identification of DDIs requires much money and time. Computational approaches have exhibited their abilities t...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Hui, Mao, Kui-Tao, Shi, Jian-Yu, Huang, Hua, Chen, Zhi, Dong, Kai, Yiu, Siu-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907306/
https://www.ncbi.nlm.nih.gov/pubmed/29671393
http://dx.doi.org/10.1186/s12918-018-0532-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907306/
https://www.ncbi.nlm.nih.gov/pubmed/29671393
http://dx.doi.org/10.1186/s12918-018-0532-7

Ejemplares similares