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Novel deep learning model for more accurate prediction of drug-drug interaction effects
BACKGROUND: Predicting the effect of drug-drug interactions (DDIs) precisely is important for safer and more effective drug co-prescription. Many computational approaches to predict the effect of DDIs have been proposed, with the aim of reducing the effort of identifying these interactions in vivo o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685287/ https://www.ncbi.nlm.nih.gov/pubmed/31387547 http://dx.doi.org/10.1186/s12859-019-3013-0 |