ODEion- a software module for structural identification of ordinary differential equations

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Gennemark, Peter, 1974 (författare): Uppsala universitet,Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,Chalmers tekniska högskola,Chalmers University of Technology,University of Gothenburg,Matematiska institutionen,Univ Gothenburg, Gothenburg, Sweden.

Wedelin, Dag, 1964 (författare): Chalmers tekniska högskola,Chalmers University of Technology,Chalmers, Dept Comp Sci & Engn, Gothenburg, Sweden.

(creator_code:org_t)

2014
2014
Engelska.
Ingår i: Journal of Bioinformatics and Computational Biology. - 0219-7200 .- 1757-6334. ; 12:1

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Abstract Ämnesord

Stäng

In the systems biology field, algorithms for structural identification of ordinary differential equations (ODEs) have mainly focused on fixed model spaces like S-systems and/or on methods that require sufficiently good data so that derivatives can be accurately estimated. There is therefore a lack of methods and software that can handle more general models and realistic data. We present ODEion, a software module for structural identification of ODEs. Main characteristic features of the software are: • The model space is defined by arbitrary user-defined functions that can be nonlinear in both variables and parameters, such as for example chemical rate reactions. • ODEion implements computationally efficient algorithms that have been shown to efficiently handle sparse and noisy data. It can run a range of realistic problems that previously required a supercomputer. • ODEion is easy to use and provides SBML output. We describe the mathematical problem, the ODEion system itself, and provide several examples of how the system can be used. Read More: http://www.worldscientific.com/doi/abs/10.1142/S0219720013500157

NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
NATURVETENSKAP -- Matematik (hsv//swe)
NATURAL SCIENCES -- Mathematics (hsv//eng)

Om ämnet

Av lärosätet: Göteborgs universitet; Chalmers tekniska högskola; Uppsala universitet

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