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Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments
BACKGROUND: Machine learning (ML) methods still have limited applicability in personalized oncology due to low numbers of available clinically annotated molecular profiles. This doesn’t allow sufficient training of ML classifiers that could be used for improving molecular diagnostics. METHODS: We re...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499993/ https://www.ncbi.nlm.nih.gov/pubmed/32948183 http://dx.doi.org/10.1186/s12920-020-00759-0 |