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Sean T Vittadello

Showing results (1-10 of 12) with videos related to

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Bio Systems|September 11, 2025
Studying organisational closure in biological systems with process-enablement graphsEmmy Brown, Sean T Vittadello
Mathematical Biosciences|November 15, 2022
Open problems in mathematical biologySean T Vittadello, Michael P H Stumpf
Royal Society Open Science|October 18, 2021
Model comparison via simplicial complexes and persistent homologySean T Vittadello, Michael P H Stumpf
Journal of Mathematical Biology|October 9, 2022
A group theoretic approach to model comparison with simplicial representationsSean T Vittadello, Michael P H Stumpf
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 8, 2021
Turing pattern design principles and their robustnessSean T Vittadello, Thomas Leyshon, David Schnoerr, et al.
Journal of the Royal Society, Interface|March 4, 2020
Practical parameter identifiability for spatio-temporal models of cell invasionMatthew J Simpson, Ruth E Baker, Sean T Vittadello, et al.
Journal of Mathematical Biology|September 24, 2025
Towards a mathematical framework for modelling cell fate dynamicsSean T Vittadello, Léo Diaz, Yujing Liu, 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.
Journal of the Royal Society, Interface|August 22, 2019
Mathematical models incorporating a multi-stage cell cycle replicate normally-hidden inherent synchronization in cell proliferationSean T Vittadello, Scott W McCue, Gency Gunasingh, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Bio Systems|September 11, 2025
Studying organisational closure in biological systems with process-enablement graphsEmmy Brown, Sean T Vittadello
Mathematical Biosciences|November 15, 2022
Open problems in mathematical biologySean T Vittadello, Michael P H Stumpf
Royal Society Open Science|October 18, 2021
Model comparison via simplicial complexes and persistent homologySean T Vittadello, Michael P H Stumpf
Journal of Mathematical Biology|October 9, 2022
A group theoretic approach to model comparison with simplicial representationsSean T Vittadello, Michael P H Stumpf
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 8, 2021
Turing pattern design principles and their robustnessSean T Vittadello, Thomas Leyshon, David Schnoerr, et al.
Journal of the Royal Society, Interface|March 4, 2020
Practical parameter identifiability for spatio-temporal models of cell invasionMatthew J Simpson, Ruth E Baker, Sean T Vittadello, et al.
Journal of Mathematical Biology|September 24, 2025
Towards a mathematical framework for modelling cell fate dynamicsSean T Vittadello, Léo Diaz, Yujing Liu, 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.
Journal of the Royal Society, Interface|August 22, 2019
Mathematical models incorporating a multi-stage cell cycle replicate normally-hidden inherent synchronization in cell proliferationSean T Vittadello, Scott W McCue, Gency Gunasingh, et al.
Pageof 2