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Molecular pathways enhance drug response prediction using transfer learning from cell lines to tumors and patient-derived xenografts
Computational models have been successful in predicting drug sensitivity in cancer cell line data, creating an opportunity to guide precision medicine. However, translating these models to tumors remains challenging. We propose a new transfer learning workflow that transfers drug sensitivity predict...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515168/ https://www.ncbi.nlm.nih.gov/pubmed/36168036 http://dx.doi.org/10.1038/s41598-022-20646-1 |