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Knowledge discovery scientific workflows in clinico-genomics

: Potamias, G.; Koumakis, L.; Kanterakis, A.; Sfakianakis, S.; Analyti, A.; Moustakis, V.; Kafetzopoulos, D.; Rueping, S.; Tsiknakis, M.


IEEE Computer Society; Biological and Artificial Intelligence Society -BAIS-:
19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007. Proceedings Vol. 1 : Patras, Greece, 29 - 31 October 2007
Los Alamitos, Calif.: IEEE Computer Society, 2007
ISBN: 0-7695-3015-X
ISBN: 978-0-7695-3015-4
International Conference on Tools with Artificial Intelligence (ICTAI) <19, 2007, Patras>
Fraunhofer IAIS ()

With 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.