Finding biological process modifications in cancer tissues by mining gene expression correlations

Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This technology yields a global view of gene expression that can be used in several ways. Functional insight into expression profiles is routinely obtained by using Gene Ontology terms associated to the cellular genes. In this paper, we deal with functional data mining from expression profiles, proposing a novel approach that studies the correlations between genes and their relations to Gene Ontology (GO). By using this "functional correlations comparison" we explore all possible pairs of genes identifying the affected biological processes by analyzing in a pair-wise manner gene expression patterns and linking correlated pairs with Gene Ontology terms. Results: We apply here this "functional correlations comparison" approach to identify the existing correlations in hepatocarcinoma (161 microarray exp...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Giacomo Gamberoni, Sergio Storari, Stefano Volinia
• Keywords: BMCBI 2006, Gene Expression, Gene Ontology, Gene Ontology Terms