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Knowledge discovery scientific workflows in clinico‐genomics

Moustakis Vasilis, Sfakianakis Stylianos, Potamias, G., Koumakis, L., Kanterakis, A., Kafetzopoulos, D. , Tsiknakis, M., Rueping, S.

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URIhttp://purl.tuc.gr/dl/dias/9A2C5706-019D-4913-AA84-D9CF89C25BB3-
Identifierhttps://doi.org/10.1109/ICTAI.2007.32-
Languageen-
TitleKnowledge discovery scientific workflows in clinico‐genomicsen
CreatorMoustakis Vasilisen
CreatorΜουστακης Βασιληςel
CreatorSfakianakis Stylianosen
CreatorΣφακιανακης Στυλιανοςel
CreatorPotamias, G.en
CreatorKoumakis, L.en
Creator Kanterakis, A.en
CreatorKafetzopoulos, D. en
CreatorTsiknakis, M.en
CreatorRueping, S. en
PublisherIEEEen
Content SummaryWith the completion of the human genome and the entrance into the post-genomic era, translational research rises as a major need. In this paper, we present a knowledge discovery workflow (KDw) and its utilization in the context of clinico-genomic trials. KDw aims towards the discovery of 'evidential' correlations between patients' genomic and clinical profiles. Application of KDw on a real-world clinico-genomic (breast cancer) study demonstrates the reliability, efficacy, and efficiency of the approach.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-03-
Date of Publication2007-
Bibliographic CitationG. Potamias, L. Koumakis, A. Kanterakis, S. Sfakianakis, A. Analyti, V. Moustakis, D. Kafetzopoulos, S Rueping, M. Tsiknakis, "Knowledge Discovery Scientific Workflows in Clinico‐Genomics," in In Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence, 2007, pp. 91‐95, doi: 10.1109/ICTAI.2007.32el

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