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

15 Scopus citations

Abstract

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
Pages243-254
Number of pages12
DOIs
StatePublished - Mar 24 2007

Publication series

NameMethods in Molecular Biology
Volume377
ISSN (Print)1064-3745

Keywords

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

Fingerprint Dive into the research topics of 'Incorporation of gene ontology annotations to enhance microarray data analysis'. Together they form a unique fingerprint.

Cite this