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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2008
Modeling proliferative tissue growth: a general approach and an avian case studyBenjamin J Binder, Kerry A Landman, Matthew J Simpson, et al.
Biophysical Journal|March 15, 2018
Mathematical Models for Cell Migration with Real-Time Cell Cycle DynamicsSean T Vittadello, Scott W McCue, Gency Gunasingh, et al.
Journal of Theoretical Biology|June 25, 2022
Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic modelsMatthew J Simpson, Ruth E Baker, Pascal R Buenzli, et al.
Journal of Theoretical Biology|March 5, 2021
Modelling cell guidance and curvature control in evolving biological tissuesSolene G D Hegarty-Cremer, Matthew J Simpson, Thomas L Andersen, et al.
Biophysical Journal|February 24, 2020
Examining Go-or-Grow Using Fluorescent Cell-Cycle Indicators and Cell-Cycle-Inhibiting DrugsSean T Vittadello, Scott W McCue, Gency Gunasingh, et al.
Journal of Mathematical Biology|March 13, 2021
A novel mathematical model of heterogeneous cell proliferationSean T Vittadello, Scott W McCue, Gency Gunasingh, et al.
Peerj|February 20, 2016
Spatial structure arising from neighbour-dependent bias in collective cell movementRachelle N Binny, Parvathi Haridas, Alex James, et al.
Plos Computational Biology|December 1, 2020
Biologically-informed neural networks guide mechanistic modeling from sparse experimental dataJohn H Lagergren, John T Nardini, Ruth E Baker, et al.
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