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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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Détails bibliographiques
Auteurs principaux: Guan, Xiaowei, Chance, Mark R, Barnholtz-Sloan, Jill S
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2012
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3444418/
https://ncbi.nlm.nih.gov/pubmed/22616791
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2043-9113-2-13
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