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

Neil R. Clark; Avi Ma'ayan

doi:10.1126/scisignal.2001966

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

Neil R. Clark
, Avi Ma'ayan

Research output: Contribution to journal › Short survey › peer-review

27 Scopus citations

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.

Original language	English
Article number	tr4
Journal	Science Signaling
Volume	4
Issue number	190
DOIs	https://doi.org/10.1126/scisignal.2001966
State	Published - 13 Sep 2011

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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.",

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N2 - 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.

AB - 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.

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VL - 4

JO - Science Signaling

JF - Science Signaling

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

Abstract

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