Identifying Functional Relationships within Sets of Co-Expressed Genes by Combining Upstream Regulatory Motif Analysis and Gene Expression Information

Authors

Viktor Martyanov, Dartmouth College
Robert H. Gross, Dartmouth CollegeFollow

Document Type

Article

Publication Date

11-2-2010

Publication Title

BioMed Central Genomics

Department

Department of Biological Sciences

Abstract

Existing clustering approaches for microarray data do not adequately differentiate between subsets of co-expressed genes. We devised a novel approach that integrates expression and sequence data in order to generate functionally coherent and biologically meaningful subclusters of genes. Specifically, the approach clusters co-expressed genes on the basis of similar content and distributions of predicted statistically significant sequence motifs in their upstream regions.

DOI

10.1186/1471-2164-11-S2-S8

Dartmouth Digital Commons Citation

Martyanov, Viktor and Gross, Robert H., "Identifying Functional Relationships within Sets of Co-Expressed Genes by Combining Upstream Regulatory Motif Analysis and Gene Expression Information" (2010). Dartmouth Scholarship. 603.
https://digitalcommons.dartmouth.edu/facoa/603