Incorporation of gene ontology annotations to enhance microarray data analysis

Michael F. Ochs, Aidan J. Peterson, Andrew Kossenkov, Ghislain Bidaut

Research output: Chapter in Book/Report/Conference proceedingChapter

17 Scopus citations


Typical microarray or GeneChip™ experiments now provide genome-wide measurements on gene expression across many conditions. Analysis often focuses on only a few of the genes, looking for those that are "differentially expressed" between conditions or groups of conditions. However, the large number of measurements both present statistical problems to such single gene approaches and offers a tremendous amount of information for methods focused on biological processes rather than individual genes. Here we provide a method to utilize biological annotations in the form of gene ontologies to interpret the results of individual or multiple pattern recognition analyses of a microarray experiment.

Original languageEnglish (US)
Title of host publicationMicroarray Data Analysis
Subtitle of host publicationMethods and Applications
EditorsMichael J. Korenberg
Number of pages12
StatePublished - Mar 24 2007

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745


  • Biological process
  • Clustering
  • Gene ontology
  • Microarray
  • Pattern recognition


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