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

Authors:	Email author" target="_blank">Christelle?Hennequet-Antier Email author Hélène?Chiapello Karine?Piot Séverine?Degrelle Isabelle?Hue Jean-Paul?Renard Fran?ois?Rodolphe Stéphane?Robin

Institution:	1.Unité Mathématique,Informatique et Génome, INRA,Jouy-en-Josas,France;2.INA-PG / INRA 16 rue Claude Bernard,PARIS,France;3.Unité Biologie du Développement et de la Reproduction, INRA,Jouy-en-Josas,France

Abstract:	Background 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.

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