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Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset
BACKGROUND: Multi-gene lists and single sample predictor models have been currently used to reduce the multidimensional complexity of breast cancers, and to identify intrinsic subtypes. The perceived inability of some models to deal with the challenges of processing high-dimensional data, however, l...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712506/ https://www.ncbi.nlm.nih.gov/pubmed/26770261 http://dx.doi.org/10.1186/s13040-015-0078-9 |