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http://dx.doi.org/10.5351/KJAS.2008.21.3.523

Gene Set Analysis - Absolute and Trim  

Lee, Kwang-Hyun (Dept. of Applied Statistics, Sejong University)
Lee, Sun-Ho (Dept. of Applied Statistics, Sejong University)
Publication Information
The Korean Journal of Applied Statistics / v.21, no.3, 2008 , pp. 523-535 More about this Journal
Abstract
Initial work of microarray data analysis focused on identification of differentially expressed genes, and recently, the focus has moved to discovering significant sets of functionally related genes. We describe some problems of GSEA and PAGE, and propose a modified method to identify significant gene sets. The results based on a simulated experiment and real data analysis using a set of publicly available data show the superiority of the newly proposed method, GSA-AT, in detecting significant pathways with the accurate prediction.
Keywords
Microarray; gene-set; PAGE; GSEA; GSA-AT;
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