Barrera, Leah, Benner, Chris, Tao, Yong-Chuan, Winzeler, Elizabeth and Zhou, Yingyao (2004) Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays. BMC Bioinformatics, 5 (1). p. 42. ISSN 1471-2105

Abstract

BACKGROUND:To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summary of probe-level expression data for each probe set and compare replicates of these values across conditions using a form of the t-test or rank sum test. Here we propose the use of a statistical method that takes advantage of the built-in redundancy architecture of high-density oligonucleotide arrays.RESULTS:We employ parametric and nonparametric variants of two-way analysis of variance (ANOVA) on probe-level data to account for probe-level variation, and use the false-discovery rate (FDR) to account for simultaneous testing on thousands of genes (multiple testing problem). Using publicly available data sets, we systematically compared the performance of parametric two-way ANOVA and the nonparametric Mack-Skillings test to the t-test and Wilcoxon rank-sum test for detecting differentially expressed genes at varying levels of fold change, concentration, and sample size. Using receiver operating characteristic (ROC) curve comparisons, we observed that two-way methods with FDR control on sample sizes with 2�3 replicates exhibits the same high sensitivity and specificity as a t-test with FDR control on sample sizes with 6�9 replicates in detecting at least two-fold change.CONCLUSIONS:Our results suggest that the two-way ANOVA methods using probe-level data are substantially more powerful tests for detecting differential gene expression than corresponding methods for probe-set level data.

Item Type:	Article
Related URLs:	http://www.pubmedcentral.nih.gov/article...
Keywords:	gene expression analysis, differential expression, high-density oligonucleotide array, ANOVA, FDR
Related URLs:	http://www.pubmedcentral.nih.gov/article...
Date Deposited:	13 Oct 2015 13:17
Last Modified:	13 Oct 2015 13:17
URI:	https://oak.novartis.com/id/eprint/228