On the robustness of generalization of drug–drug interaction models

BACKGROUND: Deep learning methods are a proven commodity in many fields and endeavors. One of these endeavors is predicting the presence of adverse drug–drug interactions (DDIs). The models generated can predict, with reasonable accuracy, the phenotypes arising from the drug interactions using their...

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Detalles Bibliográficos
Autores principales: Kpanou, Rogia, Osseni, Mazid Abiodoun, Tossou, Prudencio, Laviolette, Francois, Corbeil, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489092/
https://www.ncbi.nlm.nih.gov/pubmed/34607569
http://dx.doi.org/10.1186/s12859-021-04398-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489092/
https://www.ncbi.nlm.nih.gov/pubmed/34607569
http://dx.doi.org/10.1186/s12859-021-04398-9

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