Method
Identification of functional modules that correlate with phenotypic difference: the influence of network topology
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* Corresponding authors: Zhiping Weng zhiping@bu.edu - Charles DeLisi charlesdelisi@gmail.com
1 Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02215, USA
2 Department of Biochemistry and Molecular Pharmacology and Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA 01605, USA
3 Department of Biomedical Engineering, 44 Cummington Street, Boston University, Boston, MA 02215, USA
Genome Biology 2010, 11:R23 doi:10.1186/gb-2010-11-2-r23
Published: 26 February 2010Abstract
One of the important challenges to post-genomic biology is relating observed phenotypic alterations to the underlying collective alterations in genes. Current inferential methods, however, invariably omit large bodies of information on the relationships between genes. We present a method that takes account of such information - expressed in terms of the topology of a correlation network - and we apply the method in the context of current procedures for gene set enrichment analysis.