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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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Pubblicato in:BMC Bioinformatics
Autori principali: Dey, Sanjoy, Luo, Heng, Fokoue, Achille, Hu, Jianying, Zhang, Ping
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2018
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Accesso online: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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