Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Sean T. Vittadello"'
Publikováno v:
Royal Society Open Science, Vol 8, Iss 10 (2021)
In many scientific and technological contexts, we have only a poor understanding of the structure and details of appropriate mathematical models. We often, therefore, need to compare different models. With available data we can use formal statistical
Externí odkaz:
https://doaj.org/article/b98996487bc64752a237f3e347dc854a
Publikováno v:
Mathematical biosciences. 354
Biology is data-rich, and it is equally rich in concepts and hypotheses. Part of trying to understand biological processes and systems is therefore to confront our ideas and hypotheses with data using statistical methods to determine the extent to wh
Publikováno v:
Journal of mathematical biology. 85(5)
The complexity of biological systems, and the increasingly large amount of associated experimental data, necessitates that we develop mathematical models to further our understanding of these systems. As biological systems are generally not well unde
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Turing patterns have morphed from mathematical curiosities into highly desirable targets for synthetic biology. For a long time, their biological significance was sometimes disputed but there is now ample evidence for their involvement in processes r
Innovation in synthetic biology often still depends on large-scale experimental trial-and-error, domain expertise, and ingenuity. The application of rational design engineering methods promise to make this more efficient, faster, cheaper and safer. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::159395ab377808de59a2f427386e76d8
Autor:
Christian A. Yates, Gency Gunasingh, Enrico Gavagnin, Matthew J. Simpson, Tim Rogers, Nikolas K. Haass, Sean T. Vittadello
Publikováno v:
Yates, K, Gavagnin, E, Rogers, T, Simpson, M, Haass, N, Vittadello, S & Gunasingh, G 2021, ' Synchronised oscillations in growing cell populations are explained by demographic noise ', Biophysical Journal . https://doi.org/10.1016/j.bpj.2021.02.017
Biophys J
Biophys J
Understanding synchrony in growing populations is important for applications as diverse as epidemiology and cancer treatment. Recent experiments employing fluorescent reporters in melanoma cell lines have uncovered growing subpopulations exhibiting s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2c75aa710e526c9b7db421a4f20b060
Publikováno v:
Journal of mathematical biology. 82(5)
We present a novel mathematical model of heterogeneous cell proliferation where the total population consists of a subpopulation of slow-proliferating cells and a subpopulation of fast-proliferating cells. The model incorporates two cellular processe
Publikováno v:
J R Soc Interface
We examine the practical identifiability of parameters in a spatio-temporal reaction–diffusion model of a scratch assay. Experimental data involve fluorescent cell cycle labels, providing spatial information about cell position and temporal informa
Autor:
Nikolas K. Haass, Scott W. McCue, Sean T. Vittadello, Wang Jin, Tamara A. Tambyah, Matthew J. Simpson, Jacob M. Ryan, Gency Gunasingh
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 510:375-386
Fluorescent cell cycle labelling in cell biology experiments provides real time information about the location of individual cells, as well as the phase of the cell cycle of individual cells. We develop a stochastic, lattice-based random walk model o