Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process

Math heals: Using computational methods to improve design of wound healing assay Cell motility is a central process in wound healing and relies on complex cell-cell interactions. A team of mathematicians led by Ruth Baker and Kit Yates at the University of Oxford utilised computer simulations to re-...

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Autores principales: Robert J. H. Ross, R. E. Baker, Andrew Parker, M. J. Ford, R. L. Mort, C. A. Yates
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/8a660ffbc4ef4cdea764d20b19e6fd5d
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spelling oai:doaj.org-article:8a660ffbc4ef4cdea764d20b19e6fd5d2021-12-02T15:10:32ZUsing approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process10.1038/s41540-017-0010-72056-7189https://doaj.org/article/8a660ffbc4ef4cdea764d20b19e6fd5d2017-03-01T00:00:00Zhttps://doi.org/10.1038/s41540-017-0010-7https://doaj.org/toc/2056-7189Math heals: Using computational methods to improve design of wound healing assay Cell motility is a central process in wound healing and relies on complex cell-cell interactions. A team of mathematicians led by Ruth Baker and Kit Yates at the University of Oxford utilised computer simulations to re-design wound-healing assays that efficiently identify cell motility parameters. New experimental designs through computer simulation can more accurately identify cell motility parameters by expanding the size of the domain upon which the experiment is performed, as opposed to increasing the number of experimental replicates. The results describe time and cost-saving alterations for an experimental method for evaluate complex cell-cell interactions.Robert J. H. RossR. E. BakerAndrew ParkerM. J. FordR. L. MortC. A. YatesNature PortfolioarticleBiology (General)QH301-705.5ENnpj Systems Biology and Applications, Vol 3, Iss 1, Pp 1-10 (2017)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Robert J. H. Ross
R. E. Baker
Andrew Parker
M. J. Ford
R. L. Mort
C. A. Yates
Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
description Math heals: Using computational methods to improve design of wound healing assay Cell motility is a central process in wound healing and relies on complex cell-cell interactions. A team of mathematicians led by Ruth Baker and Kit Yates at the University of Oxford utilised computer simulations to re-design wound-healing assays that efficiently identify cell motility parameters. New experimental designs through computer simulation can more accurately identify cell motility parameters by expanding the size of the domain upon which the experiment is performed, as opposed to increasing the number of experimental replicates. The results describe time and cost-saving alterations for an experimental method for evaluate complex cell-cell interactions.
format article
author Robert J. H. Ross
R. E. Baker
Andrew Parker
M. J. Ford
R. L. Mort
C. A. Yates
author_facet Robert J. H. Ross
R. E. Baker
Andrew Parker
M. J. Ford
R. L. Mort
C. A. Yates
author_sort Robert J. H. Ross
title Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
title_short Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
title_full Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
title_fullStr Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
title_full_unstemmed Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
title_sort using approximate bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/8a660ffbc4ef4cdea764d20b19e6fd5d
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