Abstract
We investigate models of the mitogenactivated protein kinases (MAPK) network, with the aim of determining where in parameter space there exist multiple positive steady states. We build on recent progress which combines various symbolic computation methods for mixed systems of equalities and inequalities. We demonstrate that those techniques benefit tremendously from a newly implemented graph theoretical symbolic preprocessing method. We compare computation times and quality of results of numerical continuation methods with our symbolic approach before and after the application of our preprocessing.
Original language | English |
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Title of host publication | Proceedings of the the 19th International Workshop on Computer Algebra in Scientific Computing |
Subtitle of host publication | CASC '17 |
Editors | Vladimir P. Gerdt, Wolfram Koepf, Werner M. Seiler, Evgenii V. Vorozhtsov |
Publisher | Springer |
Pages | 93-108 |
Number of pages | 16 |
Edition | 1 |
ISBN (Electronic) | 978-3-319-66320-3 |
ISBN (Print) | 978-3-319-66319-7 |
DOIs | |
Publication status | Published - 2017 |
Event | 19th International Workshop on Computer Algebra in Scientific Computing - Beijing, China Duration: 18 Sept 2017 → 22 Sept 2017 http://www.casc.cs.uni-bonn.de/2017/ |
Workshop
Workshop | 19th International Workshop on Computer Algebra in Scientific Computing |
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Abbreviated title | CASC '17 |
Country/Territory | China |
City | Beijing |
Period | 18/09/17 → 22/09/17 |
Internet address |
Bibliographical note
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-66320-3Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
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Dataset supporting the paper: Symbolic Versus Numerical Computation and Visualization of Parameter Regions for Multistationarity of Biological Networks
England, M. (Creator), Errami, H. (Creator), Grigoriev, D. (Creator), Radulescu, O. (Creator), Sturm, T. (Creator) & Weber, A. (Creator), Zenodo, 2017
DOI: 10.5281/zenodo.807678, https://zenodo.org/record/807678
Dataset