Το work with title Knowledge discovery scientific workflows in clinico‐genomics by Moustakis Vasilis, Sfakianakis Stylianos, Potamias, G., Koumakis, L., Kanterakis, A., Kafetzopoulos, D. , Tsiknakis, M., Rueping, S. is licensed under Creative Commons Attribution 4.0 International
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
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.