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pro vyhledávání: '"Gavagnin, Enrico"'
Autor:
Gavagnin, Enrico, Yates, Christian A.
Mathematical models are vital interpretive and predictive tools used to assist in the understanding of cell migration. There are typically two approaches to modelling cell migration: either micro-scale, discrete or macro-scale, continuum. The discret
Externí odkaz:
http://arxiv.org/abs/1806.06724
Cell proliferation is typically incorporated into stochastic mathematical models of cell migration by assuming that cell divisions occur after an exponentially distributed waiting time. Experimental observations, however, show that this assumption is
Externí odkaz:
http://arxiv.org/abs/1806.03140
Publikováno v:
Phys. Rev. E vol. 97, Issue 6 , pages 062104 2018
Identifying and quantifying spatial correlation are important aspects of studying the collective behaviour of multi-agent systems. Pair correlation functions (PCFs) are powerful statistical tools which can provide qualitative and quantitative informa
Externí odkaz:
http://arxiv.org/abs/1804.03452
Autor:
Gavagnin, Enrico, Yates, Christian A.
Publikováno v:
Phys. Rev. E 97, 032416 (2018)
Persistence of motion is the tendency of an object to maintain motion in a direction for short time scales without necessarily being biased in any direction in the long term. One of the most appropriate mathematical tools to study this behaviour is a
Externí odkaz:
http://arxiv.org/abs/1710.09264
Autor:
Gavagnin, Enrico, Vittadello, Sean T., Gunasingh, Gency, Haass, Nikolas K., Simpson, Matthew J., Rogers, Tim, Yates, Christian A.
Publikováno v:
In Biophysical Journal 20 April 2021 120(8):1314-1322
Publikováno v:
In Journal of Theoretical Biology 21 November 2019 481:91-99
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