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Conference Paper

Finding disease specific alterations in the co-expression of genes

MPS-Authors

Kostka,  Dennis
Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50564

Spang,  Rainer
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Citation

Kostka, D., & Spang, R. (2004). Finding disease specific alterations in the co-expression of genes. Biioinformatics, 20, Suppl. 1, i194-i199.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-87FB-3
Abstract
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.