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