Opportunities and challenges in interpretable deep learning for drug sensitivity prediction of cancer cells

In precision oncology, therapy stratification is done based on the patients’ tumor molecular profile. Modeling and prediction of the drug response for a given tumor molecular type will further improve therapeutic decision-making for cancer patients. Indeed, deep learning methods hold great potential...

Descripción completa

Detalles Bibliográficos
Autores principales: Samal, Bikash Ranjan, Loers, Jens Uwe, Vermeirssen, Vanessa, De Preter, Katleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714662/
https://www.ncbi.nlm.nih.gov/pubmed/36466148
http://dx.doi.org/10.3389/fbinf.2022.1036963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714662/
https://www.ncbi.nlm.nih.gov/pubmed/36466148
http://dx.doi.org/10.3389/fbinf.2022.1036963

Ejemplares similares