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ORCIDRuth E. Baker
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2020 – today
- 2025
[j27]J. J. Pollacco
, Ruth E. Baker, Philip K. Maini:
Modelling collective invasion with reaction-diffusion equations: When does domain curvature matter? Appl. Math. Lett. 160: 109315 (2025)- 2024
- [j26]Carles Falcó, Rebecca M. Crossley, Ruth E. Baker:
Travelling waves in a minimal go-or-grow model of cell invasion. Appl. Math. Lett. 158: 109209 (2024) - [j25]Thomas P. Prescott, David J. Warne, Ruth E. Baker:
Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation. J. Comput. Phys. 496: 112577 (2024) - [j24]Carles Falcó, Ruth E. Baker, José A. Carrillo:
A Local Continuum Model of Cell-Cell Adhesion. SIAM J. Appl. Math. 84(3): S17-S42 (2024) - 2022
- [j23]David J. Warne, Ruth E. Baker, Matthew J. Simpson:
Rapid Bayesian Inference for Expensive Stochastic Models. J. Comput. Graph. Stat. 31(1): 512-528 (2022) - [j22]David J. Warne, Thomas P. Prescott, Ruth E. Baker, Matthew J. Simpson:
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes. J. Comput. Phys. 469: 111543 (2022) - [j21]Simon Martina Perez, Heba Sailem, Ruth E. Baker:
Efficient Bayesian inference for mechanistic modelling with high-throughput data. PLoS Comput. Biol. 18(6) (2022) - 2021
- [j20]Ryan J. Murphy, Pascal R. Buenzli, Ruth E. Baker, Matthew J. Simpson:
Travelling waves in a free boundary mechanobiological model of an epithelial tissue. Appl. Math. Lett. 111: 106636 (2021) - [j19]Bartosz J. Bartmanski, Ruth E. Baker:
Effects of different discretisations of the Laplacian upon stochastic simulations of reaction-diffusion systems on both static and growing domains. J. Comput. Appl. Math. 395: 113570 (2021) - [j18]Thomas P. Prescott, Ruth E. Baker:
Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling. SIAM/ASA J. Uncertain. Quantification 9(2): 788-817 (2021) - 2020
- [j17]Ruth E. Baker, Gergely Röst:
Global Dynamics of a Novel Delayed Logistic Equation Arising from Cell Biology. J. Nonlinear Sci. 30(1): 397-418 (2020) - [j16]Thomas Pak, Ruth E. Baker, Joe Pitt-Francis:
Pakman: a modular, efficient and portable tool for approximate Bayesian inference. J. Open Source Softw. 5(47): 1716 (2020) - [j15]Fergus R. Cooper, Ruth E. Baker, Miguel O. Bernabeu, Rafel Bordas, Louise Bowler, Alfonso Bueno-Orovio, Helen M. Byrne, Valentina Carapella, Louie Cardone-Noott, Jonathan Cooper, Sara Dutta, Benjamin D. Evans, Alexander G. Fletcher, James A. Grogan, Wenxian Guo, Daniel G. Harvey, Maurice Hendrix, David Kay, Jochen Kursawe, Philip K. Maini, Beth McMillan, Gary R. Mirams, James M. Osborne, Pras Pathmanathan, Joe Pitt-Francis, Martin Robinson, Blanca Rodríguez, Raymond J. Spiteri, David Gavaghan:
Chaste: Cancer, Heart and Soft Tissue Environment. J. Open Source Softw. 5(47): 1848 (2020) - [j14]Bartosz J. Bartmanski, Ruth E. Baker:
StoSpa2: A C++ software package for stochastic simulations of spatially extended systems. J. Open Source Softw. 5(55): 2293 (2020) - [j13]Thomas P. Prescott, Ruth E. Baker:
Multifidelity Approximate Bayesian Computation. SIAM/ASA J. Uncertain. Quantification 8(1): 114-138 (2020) - [j12]John H. Lagergren, John T. Nardini, Ruth E. Baker, Matthew J. Simpson, Kevin B. Flores:
Biologically-informed neural networks guide mechanistic modeling from sparse experimental data. PLoS Comput. Biol. 16(12) (2020)
2010 – 2019
- 2019
- [j11]Daniel B. Wilson, Ruth E. Baker, Francis G. Woodhouse:
Displacement of Transport Processes on Networked Topologies. SIAM J. Appl. Math. 79(5): 1892-1915 (2019) - 2018
- [j10]David J. Warne, Ruth E. Baker, Matthew J. Simpson:
Multilevel rejection sampling for approximate Bayesian computation. Comput. Stat. Data Anal. 124: 71-86 (2018) - [j9]Christopher Lester, Christian A. Yates, Ruth E. Baker:
Robustly simulating biochemical reaction kinetics using multi-level Monte Carlo approaches. J. Comput. Phys. 375: 1401-1423 (2018) - [j8]Jonathan U. Harrison, Ruth E. Baker:
The impact of temporal sampling resolution on parameter inference for biological transport models. PLoS Comput. Biol. 14(6) (2018) - 2017
- [j7]Jochen Kursawe, Ruth E. Baker, Alexander G. Fletcher:
Impact of implementation choices on quantitative predictions of cell-based computational models. J. Comput. Phys. 345: 752-767 (2017) - [j6]Fergus R. Cooper, Ruth E. Baker, Alexander G. Fletcher:
Numerical Analysis of the Immersed Boundary Method for Cell-Based Simulation. SIAM J. Sci. Comput. 39(5) (2017) - [p3]Thomas E. Woolley, Ruth E. Baker, Philip K. Maini:
Turing's Theory of Morphogenesis: Where We Started, Where We Are and Where We Want to Go. The Incomputable 2017: 219-235 - [p2]Thomas E. Woolley, Ruth E. Baker, Philip K. Maini:
Turing's theory of morphogenesis. The Turing Guide 2017: 373-382 - 2016
- [p1]Philip K. Maini, Thomas E. Woolley, Eamonn A. Gaffney, Ruth E. Baker:
Turing's Theory of Developmental Pattern Formation. The Once and Future Turing 2016: 131-143 - 2015
- [j5]Jochen Kursawe, Pavel A. Brodskiy, Jeremiah J. Zartman, Ruth E. Baker, Alexander G. Fletcher:
Capabilities and Limitations of Tissue Size Control through Passive Mechanical Forces. PLoS Comput. Biol. 11(12) (2015) - 2013
- [j4]Katrina K. Treloar, Matthew J. Simpson, Parvathi Haridas, Kerry J. Manton, David I. Leavesley, Donald L. S. McElwain, Ruth E. Baker:
Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies. BMC Syst. Biol. 7: 137 (2013) - [j3]Gabriel Rosser, Alexander G. Fletcher, David A. Wilkinson, Jennifer A. de Beyer, Christian A. Yates, Judith P. Armitage, Philip K. Maini, Ruth E. Baker:
Novel Methods for Analysing Bacterial Tracks Reveal Persistence in Rhodobacter sphaeroides. PLoS Comput. Biol. 9(10) (2013) - [j2]Benjamin L. Vaughan Jr., Ruth E. Baker, David Kay, Philip K. Maini:
A Modified Oster-Murray-Harris Mechanical Model of Morphogenesis. SIAM J. Appl. Math. 73(6): 2124-2142 (2013) - 2012
- [j1]Philip J. Murray, Philip K. Maini, Maksim V. Plikus, Cheng-Ming Chuong, Ruth E. Baker:
Modelling Hair Follicle Growth Dynamics as an Excitable Medium. PLoS Comput. Biol. 8(12) (2012)
Coauthor Index
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