PubMed ID

20187943

UMMS Affiliation

Department of Biochemistry and Molecular Pharmacology; Program in Bioinformatics and Integrative Biology

Date

3-2-2010

Document Type

Article

Subjects

Adenoma; Colorectal Neoplasms; Computational Biology; Databases, Genetic; Gene Expression Regulation, Neoplastic; *Gene Regulatory Networks; Genotype; Humans; Lung Neoplasms; Phenotype; Small Cell Lung Carcinoma

Disciplines

Bioinformatics | Genomics | Life Sciences | Medicine and Health Sciences

Abstract

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.

Rights and Permissions

Citation: Genome Biol. 2010;11(2):R23. Epub 2010 Feb 26. Link to article on publisher's site

Related Resources

Link to Article in PubMed