A non-parametric approach for identifying differentially expressed genes in factorial microarray experiments
© BioMed Central Ltd 2005
Received: 7 March 2005
Published: 10 March 2005
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.