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Layered decomposition for the model order reduction of timescale separated biochemical reaction networks.

Abstract:

Biochemical reaction networks tend to exhibit behaviour on more than one timescale and they are inevitably modelled by stiff systems of ordinary differential equations. Singular perturbation is a well-established method for approximating stiff systems at a given timescale. Standard applications of singular perturbation partition the state variable into fast and slow modules and assume a quasi-steady state behaviour in the fast module. In biochemical reaction networks, many reactants may take ...

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Publication status:
Published

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Publisher copy:
10.1016/j.jtbi.2014.04.007

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Publisher:
Academic Press
Journal:
Journal of theoretical biology
Volume:
356
Pages:
113-122
Publication date:
2014-09-05
DOI:
EISSN:
1095-8541
ISSN:
0022-5193
URN:
uuid:e8d93a1a-e326-4982-802b-a8f2996d5617
Source identifiers:
462271
Local pid:
pubs:462271

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