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  Finding disease specific alterations in the co-expression of genes

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

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 Creators:
Kostka, Dennis1, Author
Spang, Rainer2, Author           
Affiliations:
1Max Planck Society, ou_persistent13              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              

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 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.

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Language(s): eng - English
 Dates: 2004-08-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 228575
DOI: 10.1093/bioinformatics/bth909
 Degree: -

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Title: Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology
Place of Event: Glasgow, UK
Start-/End Date: 2004-07-21 - 2004-08-04

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Title: Biioinformatics
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 20, Suppl. 1 Sequence Number: - Start / End Page: i194 - i199 Identifier: ISSN: 1460-2059