Department of Biochemistry and Molecular Pharmacology; Program in Bioinformatics and Integrative Biology
Adenoma; Colorectal Neoplasms; Computational Biology; Databases, Genetic; Gene Expression Regulation, Neoplastic; *Gene Regulatory Networks; Genotype; Humans; Lung Neoplasms; Phenotype; Small Cell Lung Carcinoma
Bioinformatics | Genomics | Life Sciences | Medicine and Health Sciences
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.
DOI of Published Version
Genome Biol. 2010;11(2):R23. Epub 2010 Feb 26. Link to article on publisher's site
Hung J, Whitfield TW, Yang T, Hu Z, Weng Z, Delisi C. (2010). Identification of functional modules that correlate with phenotypic difference: the influence of network topology. Open Access Publications by UMMS Authors. https://doi.org/10.1186/gb-2010-11-2-r23. Retrieved from https://escholarship.umassmed.edu/oapubs/2236