Steady-State-Preserving Simulation of Genetic Regulatory Systems

المؤلفون المشاركون

Ehigie, J. O.
Hou, Xilin
Zhang, Ruqiang
Yuan, Chunlu
You, Xiong

المصدر

Computational and Mathematical Methods in Medicine

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-16، 16ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-01-19

دولة النشر

مصر

عدد الصفحات

16

التخصصات الرئيسية

الطب البشري

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1142028