Abstract
BackgroundAnalysis of variance is a powerful approach to identify differentially expressed genes in a complex experimental design for microarray and macroarray data. The advantage of the anova model is the possibility to evaluate multiple sources of variation in an experiment.ResultsAnovArray is a package implementing ANOVA for gene expression data using SAS® statistical software. The originality of the package is 1) to quantify the different sources of variation on all genes together, 2) to provide a quality control of the model, 3) to propose two models for a gene's variance estimation and to perform a correction for multiple comparisons.ConclusionAnovArray is freely available at and requires only SAS® statistical software.
Highlights
Analysis of variance is a powerful approach to identify differentially expressed genes in a complex experimental design for microarray and macroarray data
AnovArray has been used for the analysis of a macroarray dataset resulting on the hybridisation of 72 membranes
The anova model emphasizes the existence of an interaction between gene and sample preparation method, between gene and tissue and between gene and sample and tissue
Summary
AnovArray is a package implementing ANOVA for gene expression data using SAS® statistical software. The originality of the package is 1) to quantify the different sources of variation on all genes together, 2) to provide a quality control of the model, 3) to propose two models for a gene's variance estimation and to perform a correction for multiple comparisons
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