Statistical tests for differential expression in cDNA microarray experiments

Genome Biol. 2003;4(4):210. doi: 10.1186/gb-2003-4-4-210. Epub 2003 Mar 17.


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.

Publication types

  • Review

MeSH terms

  • Analysis of Variance
  • Gene Expression Profiling / statistics & numerical data*
  • Matched-Pair Analysis
  • Oligonucleotide Array Sequence Analysis*
  • Statistics as Topic