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...

Descripción completa

Detalles Bibliográficos
Autores principales: Milioli, Heloisa H., Vimieiro, Renato, Tishchenko, Inna, Riveros, Carlos, Berretta, Regina, Moscato, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Short Report
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

Internet

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

Ejemplares similares