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Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines
Computational models for drug sensitivity prediction have the potential to significantly improve personalized cancer medicine. Drug sensitivity assays, combined with profiling of cancer cell lines and drugs become increasingly available for training such models. Multiple methods were proposed for pr...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346627/ https://www.ncbi.nlm.nih.gov/pubmed/34362938 http://dx.doi.org/10.1038/s41598-021-94564-z |