Sample size calculation for microarray experiments with blocked one-way design.

ABSTRACT:

Background

One of the main objectives of microarray analysis is to identify differentially expressed genes for different types of cells or treatments. Many statistical methods have been proposed to assess the treatment effects in microarray experiments.

Results

In this paper, we consider discovery of the genes that are differentially expressed among K (> 2) treatments when each set of K arrays consists of a block. In this case, the array data among K treatments tend to be correlated because of block effect. We propose to use the blocked one-way ANOVA F-statistic to test if each gene is differentially expressed among K treatments. The marginal p-values are calculated using a permutation method accounting for the block effect, adjusting for the multiplicity of the testing proc

SUBMITTER: Jung SH 

PROVIDER: S-EPMC2702333 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature