AnovArray: a set of SAS macros for the analysis of variance of gene expression data

<p>Abstract</p> <p>Background</p> <p>Analysis 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 sour...

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Bibliographic Details
Main Authors: Renard Jean-Paul, Hue Isabelle, Degrelle Séverine, Piot Karine, Chiapello Hélène, Hennequet-Antier Christelle, Rodolphe François, Robin Stéphane
Format: Article
Language:English
Published: BMC 2005-06-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/6/150
Description
Summary:<p>Abstract</p> <p>Background</p> <p>Analysis 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.</p> <p>Results</p> <p>AnovArray is a package implementing ANOVA for gene expression data using SAS<sup>® </sup>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.</p> <p>Conclusion</p> <p>AnovArray is freely available at <url>http://www-mig.jouy.inra.fr/stat/AnovArray</url> and requires only SAS<sup>® </sup>statistical software.</p>
ISSN:1471-2105