Parameter inference to motivate asymptotic model reduction: an analysis of the gibberellin biosynthesis pathway
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Publication:1712651
DOI10.1016/J.JTBI.2018.05.028zbMath1406.92169OpenAlexW2885007571WikidataQ90443707 ScholiaQ90443707MaRDI QIDQ1712651
Leah R. Band, Simon P. Preston
Publication date: 31 January 2019
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: http://eprints.nottingham.ac.uk/52588/
Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Biochemistry, molecular biology (92C40) Plant biology (92C80) Systems biology, networks (92C42)
Cites Work
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- Bayesian inference for differential equations
- Perturbation methods in applied mathematics
- Mathematical biology. Vol. 1: An introduction.
- Mathematical modelling and analysis of the brassinosteroid and gibberellin signalling pathways and their interactions
- Mathematical modelling reveals properties of tcdc required for it to be a negative regulator of toxin production in \textit{clostridium difficile}
- On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics
- Model Selection and Multimodel Inference
- Mathematical modelling of thrombin generation: asymptotic analysis and pathway characterization
- Principles of Statistical Inference
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