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http://dx.doi.org/10.5351/KJAS.2009.22.5.1059

Permutation-Based Test with Small Samples for Detecting Differentially Expressed Genes  

Lee, Ju-Hyoung (Department of Biostatistics, Medical College, The Catholic University of Korea)
Song, Hae-Hiang (Department of Biostatistics, Medical College, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.22, no.5, 2009 , pp. 1059-1072 More about this Journal
Abstract
In the analysis of microarray data with a small number of arrays, the most important task is the detection of differentially expressed genes by a significance test. For this purpose, one needs to construct a null distribution based on a large number of genes and one of the best way for constructing the null distribution for a small number of arrays is by means of permutation methods. In this paper we propose simple test statistics and permutation methods that are appropriate in constructing the null distribution. In a simulation study, we compare the null distributions generated by the proposed test statistics and permutation methods with the previous ones. With an example microarray data, differentially expressed genes are determined by applying these methods.
Keywords
Permutation test; micorarray data; differentially expressed genes; null distribution;
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