Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?

MOTIVATION: Interpretable deep learning (DL) models that can provide biological insights, in addition to accurate predictions, are of great interest to the biomedical community. Recently, interpretable DL models that incorporate signaling pathways have been proposed for drug response prediction (DRP...

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Detalles Bibliográficos
Autores principales: Li, Yihui, Hostallero, David Earl, Emad, Amin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301685/
https://www.ncbi.nlm.nih.gov/pubmed/37326960
http://dx.doi.org/10.1093/bioinformatics/btad390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301685/
https://www.ncbi.nlm.nih.gov/pubmed/37326960
http://dx.doi.org/10.1093/bioinformatics/btad390

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