Mathematical modelling of partially absorbing boundaries in biological systems

This project presents a mathematical framework for identifying partially permeable biological boundaries, and estimating the rate of absorption of diffusing objects at such a boundary based on limited experimental data. We used partial differential equations (PDEs) to derive probability distribution...

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Main Author: Iyaniwura, Sarafa Adewale
Language:English
Published: University of British Columbia 2016
Online Access:http://hdl.handle.net/2429/58907
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spelling ndltd-UBC-oai-circle.library.ubc.ca-2429-589072018-01-05T17:29:14Z Mathematical modelling of partially absorbing boundaries in biological systems Iyaniwura, Sarafa Adewale This project presents a mathematical framework for identifying partially permeable biological boundaries, and estimating the rate of absorption of diffusing objects at such a boundary based on limited experimental data. We used partial differential equations (PDEs) to derive probability distribution functions for finding a particle performing Brownian motion in a region. These distribution functions can be fit to data to infer the existence of a boundary. We also used the probability distribution functions together with maximum likelihood estimation to estimate the rate of absorption of objects at the boundaries, based on simulated data. Furthermore, we consider a switching boundary and provide a technique for approximating the boundary with a partially permeable boundary. Science, Faculty of Graduate 2016-08-22T14:41:14Z 2016-08-23T02:02:03 2016 2016-09 Text Thesis/Dissertation http://hdl.handle.net/2429/58907 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ University of British Columbia
collection NDLTD
language English
sources NDLTD
description This project presents a mathematical framework for identifying partially permeable biological boundaries, and estimating the rate of absorption of diffusing objects at such a boundary based on limited experimental data. We used partial differential equations (PDEs) to derive probability distribution functions for finding a particle performing Brownian motion in a region. These distribution functions can be fit to data to infer the existence of a boundary. We also used the probability distribution functions together with maximum likelihood estimation to estimate the rate of absorption of objects at the boundaries, based on simulated data. Furthermore, we consider a switching boundary and provide a technique for approximating the boundary with a partially permeable boundary. === Science, Faculty of === Graduate
author Iyaniwura, Sarafa Adewale
spellingShingle Iyaniwura, Sarafa Adewale
Mathematical modelling of partially absorbing boundaries in biological systems
author_facet Iyaniwura, Sarafa Adewale
author_sort Iyaniwura, Sarafa Adewale
title Mathematical modelling of partially absorbing boundaries in biological systems
title_short Mathematical modelling of partially absorbing boundaries in biological systems
title_full Mathematical modelling of partially absorbing boundaries in biological systems
title_fullStr Mathematical modelling of partially absorbing boundaries in biological systems
title_full_unstemmed Mathematical modelling of partially absorbing boundaries in biological systems
title_sort mathematical modelling of partially absorbing boundaries in biological systems
publisher University of British Columbia
publishDate 2016
url http://hdl.handle.net/2429/58907
work_keys_str_mv AT iyaniwurasarafaadewale mathematicalmodellingofpartiallyabsorbingboundariesinbiologicalsystems
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