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Integration of gene signatures using biological knowledge

Zervakis Michail, Μπλαζαντωνάκης Μιχάλης Ε., Καφετζόπουλος Δημήτριος

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URIhttp://purl.tuc.gr/dl/dias/3FE7265F-EE92-45AA-906E-CECB8D2852EE-
Identifierhttps://doi.org/10.1016/j.artmed.2011.06.003-
Identifierhttps://www.sciencedirect.com/science/article/pii/S093336571100073X-
Languageen-
Extent15 pagesen
TitleIntegration of gene signatures using biological knowledgeen
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorΜπλαζαντωνάκης Μιχάλης Ε.el
CreatorBlazadonakis Michalis E.en
CreatorΚαφετζόπουλος Δημήτριοςel
CreatorKafetzopoulos Dimitriosen
PublisherElsevieren
Content SummaryGene 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. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-24-
Date of Publication2011-
SubjectMarker gene selectionen
SubjectGene signature integrationen
SubjectCross-platform integrationen
SubjectBiological knowledgeen
SubjectGene ontologyen
SubjectPathwaysen
SubjectBreast canceren
Bibliographic CitationM. E. Blazadonakis, M. E. Zervakis and D. Kafetzopoulos, "Integration of gene signatures using biological knowledge," Artificial Intel. Med., vol. 53, no.1, pp. 57-71, Sep. 2011. doi:10.1016/j.artmed.2011.06.003en

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