steady-state-preserving simulation of genetic regulatory systems

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ID: 202688
2017
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Abstract
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.
Reference Key
zhang2017computationalsteady-state-preserving Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Ruqiang Zhang;Julius Osato Ehigie;Xilin Hou;Xiong You;Chunlu Yuan
Journal advanced functional materials
Year 2017
DOI
10.1155/2017/2729683
URL
http://dx.doi.org/10.1155/2017/2729683
Keywords
medical informatics computer applications to medicine

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