Author

T. Lorenzi

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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Cancer Biology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell signaling & trafficking· 2 Approach:deep learning· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

A. Ardaseva· 1 shared A. F. Burgess· 1 shared A. R. A. Anderson· 1 shared A.E.F. Burgess· 1 shared H. M. Byrne· 1 shared L. C. Franssen· 1 shared M. A. Chaplain· 1 shared M.A.J. ChaplainiD· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCancer Biology

A. Ardaseva

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Author profile →

3 papers

Recent·Most cited

A mathematical dissection of the adaptation of cell populations to fluctuating oxygen levels

A. Ardaseva, R. A. Gatenby, A. R. A. Anderson, H. M. Byrne, P. K. Maini, T. Lorenzi

The paper uses a phenotype-structured model to show how fluctuating oxygen levels affect cell population dynamics and competitive advantage through phenotypic variation rates.

bioRxiv · Mar 9, 2020Cancer Biology

A mathematical framework for modelling the metastatic spread of cancer

L. C. Franssen, T. Lorenzi, A. F. Burgess, M. A. Chaplain

This paper develops a mathematical framework to model metastatic spread of cancer, showing that MT1-MMP drives invasion rather than MMP-2.

bioRxiv · Nov 14, 2018Cancer Biology

Dynamical patterns of coexisting strategies in a hybrid discrete-continuum spatial evolutionary game model

A.E.F. Burgess, P.G. Schofield, S.F. Hubbard, M.A.J. Chaplain, T. Lorenzi

This paper introduces a hybrid model combining stochastic individual-based dynamics and reaction-diffusion equations to study coexistence of strategies in spatial evolutionary games, showing how chemotaxis and motion enable coexistence in otherwise incompatible scenarios.

bioRxiv · Oct 5, 2016 · PreprintEvolutionary Biology