Modeling and simulation of some cell dispersion problems by a nonparametric method

Starting from the classical descriptions of cell motion we propose some ways to enhance the realism of modeling and to account for interesting features like allowing for a random switching between biased and unbiased motion or avoiding a set of obstacles.For this complex behavior of the cell populat...

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Main Authors: Christina Surulescu, Nicolae Surulescu
Format: Article
Language:English
Published: AIMS Press 2011-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.263
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author Christina Surulescu
Nicolae Surulescu
author_facet Christina Surulescu
Nicolae Surulescu
author_sort Christina Surulescu
collection DOAJ
description Starting from the classical descriptions of cell motion we propose some ways to enhance the realism of modeling and to account for interesting features like allowing for a random switching between biased and unbiased motion or avoiding a set of obstacles.For this complex behavior of the cell population we propose new models and also provide a way to numerically assess the macroscopic densities of interest upon using a nonparametric estimation technique.Up to our knowledge, this is the only method able to numerically handle the entire complexity of such settings.
format Article
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institution Kabale University
issn 1551-0018
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publishDate 2011-03-01
publisher AIMS Press
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series Mathematical Biosciences and Engineering
spelling doaj-art-d385d58dc17e4149b9408209ed6b658e2025-01-24T02:01:39ZengAIMS PressMathematical Biosciences and Engineering1551-00182011-03-018226327710.3934/mbe.2011.8.263Modeling and simulation of some cell dispersion problems by a nonparametric methodChristina Surulescu0Nicolae Surulescu1ICAM, WWU Münster, Einsteinstr. 62, 48149 MünsterICAM, WWU Münster, Einsteinstr. 62, 48149 MünsterStarting from the classical descriptions of cell motion we propose some ways to enhance the realism of modeling and to account for interesting features like allowing for a random switching between biased and unbiased motion or avoiding a set of obstacles.For this complex behavior of the cell population we propose new models and also provide a way to numerically assess the macroscopic densities of interest upon using a nonparametric estimation technique.Up to our knowledge, this is the only method able to numerically handle the entire complexity of such settings.https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.263velocity jump processesnonparametric density estimation.cell movement
spellingShingle Christina Surulescu
Nicolae Surulescu
Modeling and simulation of some cell dispersion problems by a nonparametric method
Mathematical Biosciences and Engineering
velocity jump processes
nonparametric density estimation.
cell movement
title Modeling and simulation of some cell dispersion problems by a nonparametric method
title_full Modeling and simulation of some cell dispersion problems by a nonparametric method
title_fullStr Modeling and simulation of some cell dispersion problems by a nonparametric method
title_full_unstemmed Modeling and simulation of some cell dispersion problems by a nonparametric method
title_short Modeling and simulation of some cell dispersion problems by a nonparametric method
title_sort modeling and simulation of some cell dispersion problems by a nonparametric method
topic velocity jump processes
nonparametric density estimation.
cell movement
url https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.263
work_keys_str_mv AT christinasurulescu modelingandsimulationofsomecelldispersionproblemsbyanonparametricmethod
AT nicolaesurulescu modelingandsimulationofsomecelldispersionproblemsbyanonparametricmethod