@inbook{edf6d3f97b544f24b0766c7295884248,
title = "Incorporation of gene ontology annotations to enhance microarray data analysis",
abstract = "Typical microarray or GeneChip{\texttrademark} 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.",
keywords = "Biological process, Clustering, Gene ontology, Microarray, Pattern recognition",
author = "Ochs, {Michael F.} and Peterson, {Aidan J.} and Andrew Kossenkov and Ghislain Bidaut",
year = "2007",
month = mar,
day = "24",
doi = "10.1385/1-59745-390-0:243",
language = "English (US)",
isbn = "1597453900",
series = "Methods in Molecular Biology",
pages = "243--254",
editor = "Korenberg, {Michael J.}",
booktitle = "Microarray Data Analysis",
}