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Supervised principal component analysis for gene set enrichment of microarray data with continuous or survival outcomes

Motivation: Gene set analysis allows formal testing of subtle but coordinated changes in a group of genes, such as those defined by Gene Ontology (GO) or KEGG Pathway databases. We propose a new method for gene set analysis that is based on principal component analysis (PCA) of genes expression valu...

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Detalles Bibliográficos
Main Authors: Chen, Xi, Wang, Lily, Smith, Jonathan D., Zhang, Bing
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2008
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2732277/
https://ncbi.nlm.nih.gov/pubmed/18753155
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btn458
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