This article has not been peer reviewed.
Deposited research articleA non-parametric approach for identifying differentially expressed genes in factorial microarray experiments
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* Corresponding author: Qihua Tan qihua.tan@ouh.fyns-amt.dk
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
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.