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Classification of breast cancer patients using somatic mutation profiles and machine learning approaches
BACKGROUND: The high degree of heterogeneity observed in breast cancers makes it very difficult to classify the cancer patients into distinct clinical subgroups and consequently limits the ability to devise effective therapeutic strategies. Several classification strategies based on ER/PR/HER2 expre...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009820/ https://www.ncbi.nlm.nih.gov/pubmed/27587275 http://dx.doi.org/10.1186/s12918-016-0306-z |