IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
An Identification Method of Data-Specific GO Terms from a Microarray Data Set
Yoichi YAMADAKen-ichi HIROTANIKenji SATOUKen-ichiro MURAMOTO
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2009 Volume E92.D Issue 5 Pages 1093-1102

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Abstract

Microarray technology has been applied to various biological and medical research fields. A preliminary step to extract any information from a microarray data set is to identify differentially expressed genes between microarray data. The identification of the differentially expressed genes and their commonly associated GO terms allows us to find stimulation-dependent or disease-related genes and biological events, etc. However, the identification of these deregulated GO terms by general approaches including gene set enrichment analysis (GSEA) does not necessarily provide us with overrepresented GO terms in specific data among a microarray data set (i.e., data-specific GO terms). In this paper, we propose a statistical method to correctly identify the data-specific GO terms, and estimate its availability by simulation using an actual microarray data set.

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© 2009 The Institute of Electronics, Information and Communication Engineers
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