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Sci. Signal., 13 September 2011
Vol. 4, Issue 190, p. tr4
[DOI: 10.1126/scisignal.2001966]

TEACHING RESOURCES

Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set Enrichment Analysis

Neil R. Clark and Avi Ma’ayan*

Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY 10029, USA.

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.

* Corresponding author. E-mail, avi.maayan{at}mssm.edu

Citation: N. R. Clark, A. Ma’ayan, Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set Enrichment Analysis. Sci. Signal. 4, tr4 (2011).

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