Talks and Poster Presentations (with Proceedings-Entry):
R. Grosu, G. Batt, F. Fenton, J. Glimm, C. Le Guernic, S. Smolka, E. Bartocci:
"From Cardiac Cells to Genetic Regulatory Network";
Talk: CAV 2011: the 23rd International Conference on Computer Aided Verification,
Snowbird, UT, USA;
- 2011-07-20; in: "CAV 2011: the 23rd International Conference on Computer Aided Verification",
LNCS / Springer,
A fundamental question in the treatment of cardiac disorders, such as tachycardia and fibrillation, is under what circumstances does such a disorder arise? To answer to this question, we develop a multiaffine hybrid automaton (MHA) cardiac-cell model, and restate the original question as one of identification of the parameter ranges under which the MHA model accurately reproduces the disorder. The MHA model is obtained from the minimal cardiac model of one of the authors (Fenton) by first bringing it into the form of a canonical, genetic regulatory network, and then linearizing its sigmoidal switches, in an optimal way. By leveraging the Rovergene tool for genetic regulatory networks, we are then able to successfully identify the parameter ranges of interest.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.