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Updated: Jun 7, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
Identifying functional relationships within sets of co-expressed genes by combining upstream regulatory motif
Viktor Martyanov1, Robert H Gross
1Department of Biological Sciences, Dartmouth College, Hanover, NH 03755, USA. viktor.martyanov@dartmouth.edu
Background:
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.
Results:
We applied our method to several sets of co-expressed genes and were able to define subsets with enrichment in particular biological processes and specific upstream regulatory motifs.
Conclusions:
These results show the potential of our technique for functional prediction and regulatory motif identification from microarray data.
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