Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
|
| Materias: | |
| 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 |