title: Statistical tests for differential expression in cDNA microarray experiments.
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.
authors.affiliation: The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine 04609, USA.
authors.forename: Xiangqin
authors.initials: X
authors.lastname: Cui
authors.forename: Gary A
authors.initials: GA
authors.lastname: Churchill
mesh_terms: D000704:Analysis of Variance; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D016555:Matched-Pair Analysis; D020411:Oligonucleotide Array Sequence Analysis; D013223:Statistics as Topic