Genome Biology

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Deposited research article

A non-parametric approach for identifying differentially expressed genes in factorial microarray experiments

Qihua Tan1*, Jesper Dahlgaard1, Werner Vach2, Basem M Abdallah3, Moustapha Kassem3 and Torben A Kruse1

Author Affiliations

1 Department of Clinical Biochemistry and Genetics, Odense University Hospital, Denmark

2 Department of Statistics, University of Southern Denmark, Denmark

3 Department of Endocrinology, Odense University Hospital, Denmark

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Genome Biology 2005, 6:P5 doi:10.1186/gb-2005-6-4-p5


The electronic version of this article is the complete one and can be found online at: http://genomebiology.com/2005/6/4/P5


Received:7 March 2005
Published:10 March 2005

© 2005 BioMed Central Ltd

Abstract

We introduce a non-parametric approach using bootstrap-assisted correspondence analysis to identify and validate genes that are differentially expressed in factorial microarray experiments. Model comparison showed that although both parametric and non-parametric methods capture the different profiles in the data, our method is less inclined to false positive results due to dimension reduction in data analysis.

Deposited research article