Explainable drug sensitivity prediction through cancer pathway enrichment

Computational approaches to predict drug sensitivity can promote precision anticancer therapeutics. Generalizable and explainable models are of critical importance for translation to guide personalized treatment and are often overlooked in favor of prediction performance. Here, we propose PathDSP: a...

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Detalles Bibliográficos
Autores principales: Tang, Yi-Ching, Gottlieb, Assaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862690/
https://www.ncbi.nlm.nih.gov/pubmed/33542382
http://dx.doi.org/10.1038/s41598-021-82612-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862690/
https://www.ncbi.nlm.nih.gov/pubmed/33542382
http://dx.doi.org/10.1038/s41598-021-82612-7

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