The typical result of a microarray experiment is a list of tens or hundreds of genes found to be differentially regulated in the condition under study. Independent of the methods used to select these genes, the common task faced by any researcher is to translate these lists of genes into a better understanding of the biological phenomena involved. Currently, this is done through a tedious combination of searches through the literature and a number of public databases. We developed Onto-Express (OE) as a novel tool able to automatically translate such lists of differentially regulated genes into functional profiles characterizing the impact of the condition studied. OE constructs functional profiles (using Gene Ontology terms) for the following categories: biochemical function, biological process, cellular role, cellular component, molecular function, and chromosome location. Statistical significance values are calculated for each category. We demonstrate the validity and the utility of this comprehensive global analysis of gene function by analyzing two breast cancer datasets from two separate laboratories. OE was able to identify correctly all biological processes postulated by the original authors, as well as discover novel relevant mechanisms. (C) 2003 Elsevier Science (USA). All rights reserved.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Hamatani T.
Ko M.S.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Ko M.S.
Yamada M.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Yamada M.
Kuji N.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Kuji N.
Mizusawa Y.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Mizusawa Y.
Shoji M.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Shoji M.
Hada T.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Hada T.
Asada H.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Asada H.
Maruyama T.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
Maruyama T.
Yoshimura Y.
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Department of Obstetrics and Gynecology, Keio University School of Medicine, TokyoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo
机构:
Univ Arkansas Med Sci, Myeloma Inst Res & Therapy, Donna D & Donald M Lambert Lab Myyeloma Genet, Little Rock, AR 72205 USAUniv Arkansas Med Sci, Myeloma Inst Res & Therapy, Donna D & Donald M Lambert Lab Myyeloma Genet, Little Rock, AR 72205 USA