Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseases

Adverse drug reactions (ADRs) pose critical public health issues, affecting over 6% of hospitalized patients. While knowledge of potential drug-drug interactions (DDI) is necessary to prevent ADR, the rapid pace of drug discovery makes it challenging to maintain a strong insight into DDIs. In this s...

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Detalles Bibliográficos
Autores principales: Raja, Kalpana, Patrick, Matthew, Elder, James T., Tsoi, Lam C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473874/
https://www.ncbi.nlm.nih.gov/pubmed/28623363
http://dx.doi.org/10.1038/s41598-017-03914-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473874/
https://www.ncbi.nlm.nih.gov/pubmed/28623363
http://dx.doi.org/10.1038/s41598-017-03914-3

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