Document Type

Article

Publication Date

11-2-2010

Publication Title

BioMed Central Genomics

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

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