Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

Highly Accessed Review

Statistical tests for differential expression in cDNA microarray experiments

Xiangqin Cui and Gary A Churchill*

Author Affiliations

The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine 04609, USA

For all author emails, please log on.

Genome Biology 2003, 4:210  doi:10.1186/gb-2003-4-4-210

Published: 17 March 2003

Abstract

Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analysis of variance (ANOVA) can be used, and the mixed ANOVA model is a general and powerful approach for microarray experiments with multiple factors and/or several sources of variation.