title: 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.
authors.affiliation: Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA.
authors.forename: Neil R
authors.initials: NR
authors.lastname: Clark
authors.forename: Avi
authors.initials: A
authors.lastname: Ma'ayan
mesh_terms: D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D008954:Models, Biological; D049490:Systems Biology / Q000193:education* / Q000379:methods* / Q000639:trends