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Reducing gene regulatory networks by decomposition

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3 Author(s)
L. Chen ; Osaka Sangyo Univ., Japan ; R. Wang ; K. Aihara

This paper deals with the theoretical framework derived for gene regulatory networks with stochasticity. We exploit the fast-slow dynamics of biological systems to reduce the dimensionality, and take advantage of special interaction structure of fast-slow variables to simplify the mathematical model, which significantly reduce the complexity of gene networks. The numerical simulation also confirmed the effectiveness of our method, which can be applied to a large-scale quantitative simulation of cellular dynamics.

Published in:

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)

Date of Conference:

8-11 Aug. 2005