Splitting random forest (SRF) for determining compact sets of genes that distinguish between cancer subtypes

BACKGROUND: The identification of very small subsets of predictive variables is an important toπc that has not often been considered in the literature. In order to discover highly predictive yet compact gene set classifiers from whole genome expression data, a non-parametric, iterative algorithm, Sp...

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Detalles Bibliográficos
Autores principales: Guan, Xiaowei, Chance, Mark R, Barnholtz-Sloan, Jill S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444418/
https://www.ncbi.nlm.nih.gov/pubmed/22616791
http://dx.doi.org/10.1186/2043-9113-2-13

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444418/
https://www.ncbi.nlm.nih.gov/pubmed/22616791
http://dx.doi.org/10.1186/2043-9113-2-13

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