Quantitative analysis of tumour spheroid structure
Browning, A
Sharp, J
Murphy, R
Gunasingh, G
Lawson, B
Burrage, K
Haass, N
Simpson, M
doi:10.1101/2021.08.05.455334
Designing and interpreting 4D tumour spheroid experiments
Murphy, R
Browning, A
Gunasingh, G
Haass, N
Simpson, M
doi:10.1101/2021.08.18.456910
A Bayesian sequential learning framework to parameterise continuum models of melanoma invasion into human skin
Browning, A
Haridas, P
Simpson, M
doi:10.1101/284612
Model-based data analysis of tissue growth in thin 3D printed scaffolds
Browning, A
Maclaren, O
Buenzli, P
Lanaro, M
Allenby, M
Woodruff, M
Simpson, M
doi:10.1101/2021.03.25.436898
Three-dimensional experiments and individual based simulations show that cell proliferation drives melanoma nest formation in human skin tissue
Haridas, P
Browning, A
McGovern, J
McElwain, D
Simpson, M
doi:10.1101/244582
A Bayesian Sequential Learning Framework to Parameterise Continuum Models of Melanoma Invasion into Human Skin
Browning, A
Haridas, P
Simpson, M
Bulletin of Mathematical Biology
volume 81
issue 3
676-698
(15 Mar 2019)
doi:10.1007/s11538-018-0532-1
Identifying density-dependent interactions in collective cell behaviour
Browning, A
Jin, W
Plank, M
Simpson, M
Journal of The Royal Society Interface
volume 17
issue 165
20200143
(29 Apr 2020)
doi:10.1098/rsif.2020.0143
Model-based data analysis of tissue growth in thin 3D printed scaffolds
Browning, A
Maclaren, O
Buenzli, P
Lanaro, M
Allenby, M
Woodruff, M
Simpson, M
Journal of Theoretical Biology
volume 528
110852
(03 Nov 2021)
doi:10.1016/j.jtbi.2021.110852
Designing and interpreting 4D tumour spheroid experiments
Murphy, R
Browning, A
Gunasingh, G
Haass, N
Simpson, M
Communications Biology
volume 5
issue 1
91-91
(24 Jan 2022)
doi:10.1038/s42003-022-03018-3
A stochastic mathematical model of 4D tumour spheroids with real-time fluorescent cell cycle labelling
Klowss, J
Browning, A
Murphy, R
Carr, E
Plank, M
Gunasingh, G
Haass, N
Simpson, M
Journal of The Royal Society Interface
volume 19
issue 189
20210903
(06 Apr 2022)
doi:10.1098/rsif.2021.0903