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Journal of Theoretical Biology|June 4, 2011
The clock and wavefront model revisitedPhilip J Murray, Philip K Maini, Ruth E BakerBulletin of Mathematical Biology|August 8, 2025
Modelling the Impact of Phenotypic Heterogeneity on Cell Migration: A Continuum Framework Derived from Individual-Based PrinciplesRebecca M Crossley, Philip K Maini, Ruth E BakerJournal of Mathematical Biology|April 24, 2025
Lattice-based stochastic models motivate non-linear diffusion descriptions of memory-based dispersalYifei Li, Matthew J Simpson, Chuncheng WangJournal of Theoretical Biology|April 16, 2026
Likelihood-Free Parameter Inference for Spatiotemporal Stochastic Biological Models using Neural Posterior EstimationTom Kimpson, Jennifer Flegg, Matthew J SimpsonBulletin of Mathematical Biology|November 11, 2011
The influence of receptor-mediated interactions on reaction-diffusion mechanisms of cellular self-organisationVáclav Klika, Ruth E Baker, Denis Headon, et al.Biology Letters|May 18, 2018
Mechanistic models versus machine learning, a fight worth fighting for the biological community?Ruth E Baker, Jose-Maria Peña, Jayaratnam Jayamohan, et al.Biophysical Journal|July 9, 2021
Quantifying the impact of electric fields on single-cell motilityThomas P Prescott, Kan Zhu, Min Zhao, et al.Journal of Theoretical Biology|February 27, 2018
Extended logistic growth model for heterogeneous populationsWang Jin, Scott W McCue, Matthew J SimpsonJournal of Theoretical Biology|December 29, 2025
Parameter-wise predictions and sensitivity analysis for random walk models in the life sciencesYihan Liu, David J Warne, Matthew J SimpsonPhysical Review. E|November 20, 2024
Likelihood-based inference, identifiability, and prediction using count data from lattice-based random walk modelsYihan Liu, David J Warne, Matthew J SimpsonPageof 29