Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Modeling u8niaxial nonuniform cell proliferation|
|Author:||Lai De Oliveira, A.|
|Citation:||Bulletin of Mathematical Biology, 2019; 81(7):2220-2238|
|Publisher:||Society for Mathematical Biology|
|Alexander Lai De Oliveira, Benjamin J. Binder|
|Abstract:||Growth in biological systems occurs as a consequence of cell proliferation fueled by a nutrient supply. In general, the nutrient gradient of the system will be nonconstant, resulting in biased cell proliferation. We develop a uniaxial discrete cellular automaton with biased cell proliferation using a probability distribution which reflects the nutrient gradient of the system. An explicit probability mass function for the displacement of any tracked cell under the cellular automaton model is derived and verified against averaged simulation results; this displacement distribution has applications in predicting cell trajectories and evolution of expected site occupancies.|
|Keywords:||Cellular automata; Discrete model; Nonuniform growth|
|Rights:||© Society for Mathematical Biology 2019|
|Appears in Collections:||Mathematical Sciences publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.