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Gene Set Analysis - Absolute and Trim
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 Title & Authors
Gene Set Analysis - Absolute and Trim
Lee, Kwang-Hyun; Lee, Sun-Ho;
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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.
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마이크로어레이 자료분석에서 모수적 방법을 이용한 유전자군의 유의성 검정,이선호;이승규;이광현;

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