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Ruth E Baker

Showing results (31-40 of 159) with videos related to

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Bulletin of Mathematical Biology|March 25, 2025
Approximate Solutions of a General Stochastic Velocity-Jump Model Subject to Discrete-Time Noisy ObservationsArianna Ceccarelli, Alexander P Browning, Ruth E Baker
Royal Society Open Science|September 19, 2018
The impact of experimental design choices on parameter inference for models of growing cell coloniesAndrew Parker, Matthew J Simpson, Ruth E Baker
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|November 13, 2023
A mathematical framework for the emergence of winners and losers in cell competitionThomas F Pak, Joe Pitt-Francis, 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|May 18, 2013
Noise-induced temporal dynamics in Turing systemsLinus J Schumacher, Thomas E Woolley, Ruth E Baker
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
Bulletin of Mathematical Biology|October 20, 2012
Modelling cell migration and adhesion during developmentRobin N Thompson, Christian A Yates, Ruth E Baker
Pageof 16

Showing results (31-40 of 159) with videos related to

Sort By:
Pageof 16
Bulletin of Mathematical Biology|March 25, 2025
Approximate Solutions of a General Stochastic Velocity-Jump Model Subject to Discrete-Time Noisy ObservationsArianna Ceccarelli, Alexander P Browning, Ruth E Baker
Royal Society Open Science|September 19, 2018
The impact of experimental design choices on parameter inference for models of growing cell coloniesAndrew Parker, Matthew J Simpson, Ruth E Baker
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|November 13, 2023
A mathematical framework for the emergence of winners and losers in cell competitionThomas F Pak, Joe Pitt-Francis, 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|May 18, 2013
Noise-induced temporal dynamics in Turing systemsLinus J Schumacher, Thomas E Woolley, Ruth E Baker
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
Bulletin of Mathematical Biology|October 20, 2012
Modelling cell migration and adhesion during developmentRobin N Thompson, Christian A Yates, Ruth E Baker
Pageof 16