Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer
The molecular diversity of breast cancer makes it impossible to identify prognostic markers that are applicable to all breast cancers. To overcome limitations of previous multigene prognostic classifiers, we propose a new dynamic predictor: instead of using a single universal training cohort and an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354298/ https://www.ncbi.nlm.nih.gov/pubmed/25274406 http://dx.doi.org/10.1002/ijc.29247 |