An Identification Method of Data-Specific GO Terms from a Microarray Data Set

Yoichi YAMADA, Ken-ichi HIROTANI, Kenji SATOU, Ken-ichiro MURAMOTO
2009 IEICE transactions on information and systems  
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
more » ... es 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.
doi:10.1587/transinf.e92.d.1093 fatcat:tztdn6h24vbkphfkh6i243xcxe