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A subcomponent-guided deep learning method for interpretable cancer drug response prediction
Accurate prediction of cancer drug response (CDR) is a longstanding challenge in modern oncology that underpins personalized treatment. Current computational methods implement CDR prediction by modeling responses between entire drugs and cell lines, without the consideration that response outcomes m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470940/ https://www.ncbi.nlm.nih.gov/pubmed/37603576 http://dx.doi.org/10.1371/journal.pcbi.1011382 |