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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Materias: | |
| 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 |