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http://dx.doi.org/10.7465/jkdi.2012.23.1.001

Detecting survival related gene sets in microarray analysis  

Lee, Sun-Ho (Department of Applied Statistics, Sejong University)
Lee, Kwang-Hyun (Department of Applied Statistics, Sejong University)
Publication Information
Journal of the Korean Data and Information Science Society / v.23, no.1, 2012 , pp. 1-11 More about this Journal
Abstract
When the microarray experiment developed, main interest was limited to detect differentially expressed genes associated with a phenotype of interest. However, as human diseases are thought to occur through the interactions of multiple genes within a same functional category, the unit of analysis of the microarray experiment expanded to the set of genes. For the phenotype of censored survival time, Gene Set Enrichment Analysis(GSEA), Global test and Wald type test are widely used. In this paper, we modified the Wald type test by adopting normal score transformation of gene expression values and developed a parametric test which requires much less computation than others. The proposed method is compared with other methods using a real data set of ovarian cancer and a simulation data set.
Keywords
Censored survival data; gene set analysis; microarray; Wald type statistics;
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