Author

A. Browning

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 2 Biophysics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 3 Organism:human· 3 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

M. J. Simpson· 2 shared M. Simpson· 2 shared P. Haridas· 2 shared D. J. Warne· 1 shared E. T. Shah· 1 shared J. McGovern· 1 shared M. J. Plank· 1 shared O. J. Maclaren· 1 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersEcology

M. J. Simpson

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Parameter identifiability and model selection for sigmoid population growth models

M. J. Simpson, A. Browning, D. J. Warne, O. J. Maclaren, R. E. Baker

The paper assesses parameter identifiability and model selection for sigmoid growth models using coral regrowth data, finding logistic models are identifiable while Gompertz and Richards models are not.

bioRxiv · Jun 22, 2021Ecology

A Bayesian sequential learning framework to parameterise continuum models of melanoma invasion into human skin

A. Browning, P. Haridas, M. Simpson

The paper introduces a Bayesian sequential learning framework to estimate parameters of a melanoma invasion model using increasingly complex experimental data.

bioRxiv · Aug 7, 2018Biophysics

Three-dimensional experiments and individual based simulations show that cell proliferation drives melanoma nest formation in human skin tissue

P. Haridas, A. Browning, J. McGovern, S. McElwain, M. Simpson

bioRxiv · Jan 8, 2018Cell Biology

Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data

A. Browning, S. W. McCue, R. N. Binny, M. J. Plank, E. T. Shah, M. J. Simpson

The paper calibrates a lattice-free individual-based model of cell migration and proliferation using experimental data from prostate cancer cells, showing the importance of individual interactions.

bioRxiv · Oct 30, 2017Cell Biology