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Identifiability analysis for stochastic differential equation models in systems biology
View ORCID ProfileAlexander P Browning, View ORCID ProfileDavid J Warne, Kevin Burrage, View ORCID ProfileRuth E Baker, View ORCID ProfileMatthew J Simpson
doi: https://doi.org/10.1101/2020.08.10.245233
Alexander P Browning
1School of Mathematical Sciences, Queensland University of Technology, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
David J Warne
1School of Mathematical Sciences, Queensland University of Technology, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
Kevin Burrage
1School of Mathematical Sciences, Queensland University of Technology, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
3Department of Computer Science, University of Oxford, UK
4ARC Centre of Excellence for Plant Success in Nature and Agriculture, QUT, Australia
Ruth E Baker
5Mathematical Institute, University of Oxford, UK
Matthew J Simpson
1School of Mathematical Sciences, Queensland University of Technology, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
Posted October 15, 2020.
Identifiability analysis for stochastic differential equation models in systems biology
Alexander P Browning, David J Warne, Kevin Burrage, Ruth E Baker, Matthew J Simpson
bioRxiv 2020.08.10.245233; doi: https://doi.org/10.1101/2020.08.10.245233
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