Integrating Multiple Evidence Sources to Predict Adverse Drug Reactions Based on a Systems Pharmacology Model

Identifying potential adverse drug reactions (ADRs) is critically important for drug discovery and public health. Here we developed a multiple evidence fusion (MEF) method for the large-scale prediction of drug ADRs that can handle both approved drugs and novel molecules. MEF is based on the similar...

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Detalles Bibliográficos
Autores principales: Cao, D-S, Xiao, N, Li, Y-J, Zeng, W-B, Liang, Y-Z, Lu, A-P, Xu, Q-S, Chen, AF
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2015
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592529/
https://www.ncbi.nlm.nih.gov/pubmed/26451329
http://dx.doi.org/10.1002/psp4.12002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592529/
https://www.ncbi.nlm.nih.gov/pubmed/26451329
http://dx.doi.org/10.1002/psp4.12002

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