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Robust assignment of cancer subtypes from expression data using a uni-variate gene expression average as classifier

BACKGROUND: Genome wide gene expression data is a rich source for the identification of gene signatures suitable for clinical purposes and a number of statistical algorithms have been described for both identification and evaluation of such signatures. Some employed algorithms are fairly complex and...

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Detalhes bibliográficos
Main Authors: Lauss, Martin, Frigyesi, Attila, Ryden, Tobias, Höglund, Mattias
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2966465/
https://ncbi.nlm.nih.gov/pubmed/20925936
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2407-10-532
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