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


RESULTS
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.


CONCLUSIONS
AnovArray is freely available at http://www-mig.jouy.inra.fr/stat/AnovArray and requires only SAS statistical software.
Hennequet-Antier
Christelle
C
Unité Mathématique, Informatique et Génome, INRA, 78352 Jouy-en-Josas, France. Christelle.Hennequet-Antier@jouy.inra.fr
Chiapello
Hélène
H
Piot
Karine
K
Degrelle
Séverine
S
Hue
Isabelle
I
Renard
Jean-Paul
JP
Rodolphe
François
F
Robin
Stéphane
S
D000465:Algorithms; D000704:Analysis of Variance; D000818:Animals; D002417:Cattle; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D015870:Gene Expression; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D015723:Gene Library; D020407:Internet; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011381:Programming Languages; D011786:Quality Control; D015203:Reproducibility of Results; D018401:Sample Size; D012680:Sensitivity and Specificity; D017422:Sequence Analysis, DNA; D012984:Software; D014018:Tissue Distribution