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Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance
Resistance to ionizing radiation, a first-line therapy for many cancers, is a major clinical challenge. Personalized prediction of tumor radiosensitivity is not currently implemented clinically due to insufficient accuracy of existing machine learning classifiers. Despite the acknowledged role of tu...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113601/ https://www.ncbi.nlm.nih.gov/pubmed/33976213 http://dx.doi.org/10.1038/s41467-021-22989-1 |