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Mol Syst Biol. 2007;3:83. Epub 2007 Feb 13.

Computational analysis of the synergy among multiple interacting genes.

Author information

1
Department of Electrical Engineering, Center for Computational Biology and Bioinformatics, Columbia University, New York, NY 10027, USA. anastas@ee.columbia.edu

Abstract

Diseases such as cancer are often related to collaborative effects involving interactions of multiple genes within complex pathways, or to combinations of multiple SNPs. To understand the structure of such mechanisms, it is helpful to analyze genes in terms of the purely cooperative, as opposed to independent, nature of their contributions towards a phenotype. Here, we present an information-theoretic analysis that provides a quantitative measure of the multivariate synergy and decomposes sets of genes into submodules each of which contains synergistically interacting genes. When the resulting computational tools are used for the analysis of gene expression or SNP data, this systems-based methodology provides insight into the biological mechanisms responsible for disease.

PMID:
17299419
PMCID:
PMC1828751
DOI:
10.1038/msb4100124
[Indexed for MEDLINE]
Free PMC Article

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