15 research outputs found
A comparison of statistical methods for selecting significant genes in cDNA microarray experiments
μνμ μ°ν΅κ³ννλκ³Όμ μνν΅κ³νμ 곡/μμ¬[νκΈ]
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[μλ¬Έ]Significant genes are defined as genes in which the expression level characterizes a specific experimental condition. Such genes in which the expression levels differ significantly between different groups are highly informative relevant to the studied phenomenon. Also, For the analysis of gene expression data it is need to reduce the dimension using the statistical methods of selecting significant genes due to systemic variations of cDNA microarray experiments and special data structure. The aim of this paper is to compare different methods, the T-statistics, log posterior likelihood ratio B-statistics, D-statistics using SAM, TNoM score, Info score, and Separation score. Using real and simulated data, we suggest a proper method to select significant genes in each data.ope