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

Medicine

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