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Introduction to statistical methods for analyzing large data sets: gene-set enrichment analysis.


ABSTRACT: This Teaching Resource provides lecture notes, slides, and a problem set for a series of lectures introducing the mathematical concepts behind gene-set enrichment analysis (GSEA) and were part of a course entitled "Systems Biology: Biomedical Modeling." GSEA is a statistical functional enrichment analysis commonly applied to identify enrichment of biological functional categories in sets of ranked differentially expressed genes from genome-wide mRNA expression data sets.

SUBMITTER: Clark NR 

PROVIDER: S-EPMC3205944 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature

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Introduction to statistical methods for analyzing large data sets: gene-set enrichment analysis.

Clark Neil R NR   Ma'ayan Avi A  

Science signaling 20110906 190


This Teaching Resource provides lecture notes, slides, and a problem set for a series of lectures introducing the mathematical concepts behind gene-set enrichment analysis (GSEA) and were part of a course entitled "Systems Biology: Biomedical Modeling." GSEA is a statistical functional enrichment analysis commonly applied to identify enrichment of biological functional categories in sets of ranked differentially expressed genes from genome-wide mRNA expression data sets. ...[more]

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