Integration of gene signatures using biological knowledgeIntegration of gene signatures using biological knowledge Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-10-242011enGene expression patterns that distinguish clinically significant disease subclasses may not only play a prominent role in diagnosis, but also lead to the therapeutic strategies tailoring the treatment to the particular biology of each disease. Nevertheless, gene expression signatures derived through statistical feature-extraction procedures on population datasets have received rightful criticism, since they share few genes in common, even when derived from the same dataset. We focus on knowledge complementarities conveyed by two or more gene-expression signatures by means of embedded biological processes and pathways, which alternatively form a meta-knowledge platform of analysis towards a more global, robust and powerful solution. http://creativecommons.org/licenses/by/4.0/Artificial Intelligence in Medicine53157-71 Zervakis Michail Ζερβακης Μιχαηλ Μπλαζαντωνάκης Μιχάλης Ε. Blazadonakis Michalis E. Καφετζόπουλος Δημήτριος Kafetzopoulos Dimitrios Elsevier Marker gene selection Gene signature integration Cross-platform integration Biological knowledge Gene ontology Pathways Breast cancer