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Splitting Strategy for Simulating Genetic Regulatory Networks.
- Source :
-
Computational & Mathematical Methods in Medicine . Jan2014, p1-9. 9p. - Publication Year :
- 2014
-
Abstract
- The splitting approach is developed for the numerical simulation of genetic regulatory networks with a stable steady-state structure. The numerical results of the simulation of a one-gene network, a two-gene network, and a p53-mdm2 network show that the new splitting methods constructed in this paper are remarkably more effective and more suitable for long-term computation with large steps than the traditional general-purpose Runge-Kutta methods. The new methods have no restriction on the choice of stepsize due to their infinitely large stability regions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1748670X
- Database :
- Academic Search Index
- Journal :
- Computational & Mathematical Methods in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 100486204
- Full Text :
- https://doi.org/10.1155/2014/683235