Predicting the frequencies of drug side effects

A central issue in drug risk-benefit assessment is identifying frequencies of side effects in humans. Currently, frequencies are experimentally determined in randomised controlled clinical trials. We present a machine learning framework for computationally predicting frequencies of drug side effects...

Descripción completa

Detalles Bibliográficos
Autores principales: Galeano, Diego, Li, Shantao, Gerstein, Mark, Paccanaro, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486409/
https://www.ncbi.nlm.nih.gov/pubmed/32917868
http://dx.doi.org/10.1038/s41467-020-18305-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486409/
https://www.ncbi.nlm.nih.gov/pubmed/32917868
http://dx.doi.org/10.1038/s41467-020-18305-y

Ejemplares similares