Splitting Strategy for Simulating Genetic Regulatory Networks
Joint Authors
Liu, Xueping
You, Xiong
Musa, Ibrahim Hussein
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
You, Xiong& Liu, Xueping& Musa, Ibrahim Hussein. 2014. Splitting Strategy for Simulating Genetic Regulatory Networks. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-490240
Modern Language Association (MLA)
You, Xiong…[et al.]. Splitting Strategy for Simulating Genetic Regulatory Networks. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-490240
American Medical Association (AMA)
You, Xiong& Liu, Xueping& Musa, Ibrahim Hussein. Splitting Strategy for Simulating Genetic Regulatory Networks. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-490240
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490240
