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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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URI: http://purl.tuc.gr/dl/dias/9A2C5706-019D-4913-AA84-D9CF89C25BB3
Year 2007
Type of Item Conference Full Paper
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Bibliographic Citation G. 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.2007.32 https://doi.org/10.1109/ICTAI.2007.32
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Conference Publications in Community School of Production Engineering and Management

Summary

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.

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