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This article is part of the supplement: EADGENE and SABRE Post-analyses Workshop

Open Access Research

Gene set analysis methods applied to chicken microarray expression data

Axel Skarman, Li Jiang, Henrik Hornshøj, Bart Buitenhuis, Jakob Hedegaard, Lene N Conley and Peter Sørensen*

Author Affiliations

Department of Genetics and Biotechnology, Faculty of Agricultural Sciences, Aarhus University, DK-8830 Tjele, Denmark

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BMC Proceedings 2009, 3(Suppl 4):S8  doi:10.1186/1753-6561-3-S4-S8

Published: 16 July 2009

Abstract

Background

Gene set analysis is considered to be a way of improving our biological interpretation of the observed expression patterns. This paper describes different methods applied to analyse expression data from a chicken DNA microarray dataset.

Results

Applying different gene set analyses to the chicken expression data led to different ranking of the Gene Ontology terms tested. A method for prediction of possible annotations was applied.

Conclusion

Biological interpretation based on gene set analyses dependent on the statistical method used. Methods for predicting the possible annotations for genes with unknown function from the expression data at hand could be useful, but our results indicate that careful validation of the predictions is needed.