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...

Descripción completa

Detalles Bibliográficos
Autores principales: Győrffy, Balázs, Karn, Thomas, Sztupinszki, Zsófia, Weltz, Boglárka, Müller, Volkmar, Pusztai, Lajos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2015
Materias:
Cancer Genetics
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

Internet

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

Ejemplares similares