Nada Lavrač had an invited talk entitled Advances in data mining for biomedical research on an international 13th European Conference on Computational Biology (ECCB 2014), 7.-10. sept. 2014 in Strasbourg, France (http://www.eccb14.org/program/keynotes) - the conference was attended by approximately 1200 participants. She had similar lecture on the 34th Joint Conference on Medical Informatics JCMI 2014 [and] 15th Annual Conference of Japan Association for Medical Informatics, 6.-8. nov. 2014 in Chiba, Japan [COBISS.SI-ID 28099879] (http://www.ho.chiba-u.ac.jp/jcmi2014/Program.html)- the lecture attended around 800 participants from 2.000 registered conference participants. Nada Lavrač had also an invited lecture with the same topic within the cycle "Scientific evenings" in the castle Lanthieri in Vipava. Nova Gorica: University of Nova Gorica, 16. apr. 2014. [COBISS.SI-ID 27648039]
B.04 Guest lecture
COBISS.SI-ID: 27941159Biologists have been investigating plant defence response to virus infections; however, a comprehensive mathematical model of this complex process has not been developed. One obstacle in developing a dynamic model, useful for simulation, is the lack of kinetic data from which the model parameters could be determined. In the paper we address this problem by proposing a methodology for iterative improvement of the model parameters until the simulation results come close to the expectation of biology experts. These expectations are formalized in the form of constraints to be satisfied by the model simulations. In three iterative steps the model converged to satisfy the biology experts. There are two results of our approach: individual simulations and optimized model parameters, which provide a deeper insight into the biological system. The proposed constraint-driven optimization approach allows for an efficient exploration of the dynamic behavior of biological models and, at the same time, increases their reliability.
F.11 Development of a new service
COBISS.SI-ID: 27540775