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Bioinformatics 20(Suppl. 1) © Oxford University Press 2004; all rights reserved.

Finding disease specific alterations in the co-expression of genes

Dennis Kostka * and Rainer Spang

Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, D-14195 Berlin, Germany

Received on January 15, 2004; accepted on March 1, 2004

Motivation: Standard analysis routines for microarray data aim at differentially expressed genes. In this paper, we address the complementary problem of detecting sets of differentially co-expressed genes in two phenotypically distinct sets of expression profiles.

Results: We introduce a score for differential co-expression and suggest a computationally efficient algorithm for finding high scoring sets of genes. The use of our novel method is demonstrated in the context of simulations and on real expression data from a clinical study.

Contact: dennis.kostka{at}molgen.mpg.de

* To whom correspondence should be addressed.


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