Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects

Drug-drug interaction (DDI) is an important topic for public health, and thus attracts attention from both academia and industry. Here we hypothesize that clinical side effects (SEs) provide a human phenotypic profile and can be translated into the development of computational models for predicting...

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Detalles Bibliográficos
Autores principales: Zhang, Ping, Wang, Fei, Hu, Jianying, Sorrentino, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387872/
https://www.ncbi.nlm.nih.gov/pubmed/26196247
http://dx.doi.org/10.1038/srep12339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387872/
https://www.ncbi.nlm.nih.gov/pubmed/26196247
http://dx.doi.org/10.1038/srep12339

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