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Steady-State-Preserving Simulation of Genetic Regulatory Systems
Joint Authors
Ehigie, J. O.
Hou, Xilin
Zhang, Ruqiang
Yuan, Chunlu
You, Xiong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-19
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
A novel family of exponential Runge-Kutta (expRK) methods are designed incorporating the stable steady-state structure of genetic regulatory systems.
A natural and convenient approach to constructing new expRK methods on the base of traditional RK methods is provided.
In the numerical integration of the one-gene, two-gene, and p53-mdm2 regulatory systems, the new expRK methods are shown to be more accurate than their prototype RK methods.
Moreover, for nonstiff genetic regulatory systems, the expRK methods are more efficient than some traditional exponential RK integrators in the scientific literature.
American Psychological Association (APA)
Zhang, Ruqiang& Ehigie, J. O.& Hou, Xilin& You, Xiong& Yuan, Chunlu. 2017. Steady-State-Preserving Simulation of Genetic Regulatory Systems. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1142028
Modern Language Association (MLA)
Zhang, Ruqiang…[et al.]. Steady-State-Preserving Simulation of Genetic Regulatory Systems. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1142028
American Medical Association (AMA)
Zhang, Ruqiang& Ehigie, J. O.& Hou, Xilin& You, Xiong& Yuan, Chunlu. Steady-State-Preserving Simulation of Genetic Regulatory Systems. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1142028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142028