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Guaranteed error bounds for structured complexity reduction of biochemical networks.

Abstract:

Biological systems are typically modelled by nonlinear differential equations. In an effort to produce high fidelity representations of the underlying phenomena, these models are usually of high dimension and involve multiple temporal and spatial scales. However, this complexity and associated stiffness makes numerical simulation difficult and mathematical analysis impossible. In order to understand the functionality of these systems, these models are usually approximated by lower dimensional...

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Publication status:
Published

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Publisher copy:
10.1016/j.jtbi.2012.04.002

Authors


Prescott, TP More by this author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Journal:
Journal of theoretical biology
Volume:
304
Pages:
172-182
Publication date:
2012-07-05
DOI:
EISSN:
1095-8541
ISSN:
0022-5193
URN:
uuid:1b3e8fb8-d858-4b4e-9ff6-58866859aa3b
Source identifiers:
329024
Local pid:
pubs:329024

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