[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/CKSS.2006.13.1.039

A Bayesian Multiple Testing of Detecting Differentially Expressed Genes in Two-sample Comparison Problem

Oh Hyun-Sook (Department of Applied Statistics, Kyungwon University)
Yang Wan-Youn (Department of Applied Statistics, Kyungwon University)

Publication Information

Communications for Statistical Applications and Methods / v.13, no.1, 2006 , pp. 39-47 More about this Journal

Abstract

The Bayesian approach to multiple testing procedure for one sample testing problem proposed by Scott and Berger (2003) is extended to two-sample comparison problem in microarray experiments. The prior distribution of each gene's mean for one sample is given conditionally on the corresponding gene's mean for the other sample. Posterior distributions of interesting parameters are derived and estimated based on an importance sampling method. A simulated example is given for illustration.

Keywords

microarray experiment; Bayesian multiple testing; importance sampling method;

Citations & Related Records

Reference

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