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Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential for improving therapeutic outcomes. However, current machine-learning-based predictions of drug response often fail to identify robust translational biomarkers from preclinical models. Here, we pres...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599252/ https://www.ncbi.nlm.nih.gov/pubmed/33127883 http://dx.doi.org/10.1038/s41467-020-19313-8 |