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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...

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Detalles Bibliográficos
Autores principales: Tang, Yi-Ching, Powell, Reid T., Gottlieb, Assaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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