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Journal of the Royal Society, Interface|January 14, 2025
Random walk models in the life sciences: including births, deaths and local interactionsMichael J Plank, Matthew J Simpson, Ruth E Baker
Physical Biology|September 7, 2016
An analytical method for disentangling the roles of adhesion and crowding for random walk models on a crowded latticeAdam J Ellery, Ruth E Baker, Matthew J Simpson
Bulletin of Mathematical Biology|January 1, 2015
Choosing an Appropriate Modelling Framework for Analysing Multispecies Co-culture Cell Biology ExperimentsDeborah C Markham, Matthew J Simpson, Ruth E Baker
Proceedings. Mathematical, Physical, and Engineering Sciences|February 14, 2022
Bayesian uncertainty quantification for data-driven equation learningSimon Martina-Perez, Matthew J Simpson, Ruth E Baker
Journal of Theoretical Biology|April 1, 2020
A practical guide to pseudo-marginal methods for computational inference in systems biologyDavid J Warne, Ruth E Baker, Matthew J Simpson
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 16, 2013
Simplified method for including spatial correlations in mean-field approximationsDeborah C Markham, Matthew J Simpson, Ruth E Baker
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 15, 2015
Survival probability for a diffusive process on a growing domainMatthew J Simpson, Jesse A Sharp, Ruth E Baker
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 17, 2011
Models of collective cell spreading with variable cell aspect ratio: a motivation for degenerate diffusion modelsMatthew J Simpson, Ruth E Baker, Scott W McCue
Journal of the Royal Society, Interface|October 24, 2019
Accurate and efficient discretizations for stochastic models providing near agent-based spatial resolution at low computational costNabil T Fadai, Ruth E Baker, Matthew J Simpson
Journal of the Royal Society, Interface|August 30, 2013
Design and interpretation of cell trajectory assaysLucie G Bowden, Matthew J Simpson, Ruth E Baker
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