Gene Set Enrichment Analysis

  • R. GentlemanEmail author
  • M. Morgan
  • W. Huber
Part of the Use R! book series (USE R)


Gene Set Enrichment Analysis (GSEA) is an important method for analyzing gene expression data. It is useful for finding biological themes in gene sets, and it can help to increase the statistical power of analyses by aggregating the signal across groups of related genes. In this chapter, we introduce tools available in the Category and GSEABase packages for carrying out gene set enrichment analysis.


KEGG Pathway Incidence Matrix Analyze Gene Expression Data Ribosome Pathway Code Chunk 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Division of Public Health Sciences, Program in Computational BiologyFred Hutchinson Cancer Research CenterSeattleUSA
  2. 2.Computational Biology ProgramFred Hutchinson Cancer Research CenterSeattleUSA
  3. 3.Wellcome Trust Genome CampusEuropean Bioinformatics Institute, EMBL Outstation HinxtonCambridgeUK

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