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Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning
The selection of effective genes that accurately predict chemotherapy responses might improve cancer outcomes. We compare optimized gene signatures for cisplatin, carboplatin, and oxaliplatin responses in the same cell lines and validate each signature using data from patients with cancer. Supervise...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329797/ https://www.ncbi.nlm.nih.gov/pubmed/30652029 http://dx.doi.org/10.1038/s41392-018-0034-5 |