Predicting adverse drug reactions through interpretable deep learning framework

BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial costs. METHODS: In this paper, we developed machine l...

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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: Dey, Sanjoy, Luo, Heng, Fokoue, Achille, Hu, Jianying, Zhang, Ping
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2018
Fag:
Research
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6300887/
https://ncbi.nlm.nih.gov/pubmed/30591036
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2544-0
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