Splitting strategy for simulating genetic regulatory networks

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Abstract

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. © 2014 Xiong You et al.

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APA

You, X., Liu, X., & Musa, I. H. (2014). Splitting strategy for simulating genetic regulatory networks. Computational and Mathematical Methods in Medicine, 2014. https://doi.org/10.1155/2014/683235

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