Improved scoring of functional groups from gene expression data by decorrelating GO graph structure

A Alexa, J Rahnenführer, T Lengauer - Bioinformatics, 2006 - academic.oup.com
Motivation: The result of a typical microarray experiment is a long list of genes with
corresponding expression measurements. This list is only the starting point for a meaningful
biological interpretation. Modern methods identify relevant biological processes or functions
from gene expression data by scoring the statistical significance of predefined functional
gene groups, eg based on Gene Ontology (GO). We develop methods that increase the
explanatory power of this approach by integrating knowledge about relationships between …