Title

Using ANOVA to analyze microarray data.

Document Type

Article

Publication Date

2004

JAX Location

see Reprint Collection

JAX Source

Biotechniques 2004 Aug; 37(2):173-5, 177.

Abstract

ANOVA provides a general approach to the analysis of single and multiple factor experiments on both one- and two-color microarray platforms. Mixed model ANOVA is important because in many microarray experiments there are multiple sources of variation that must be taken into consideration when constructing tests for differential expression of a gene. The genome is large, and the signals of expression change can be small, so we must rely on rigorous statistical methods to distinguish signal from noise. We apply statistical tests to ensure that we are not just making up stories based on seeing patterns where there may be none.

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