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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2017-03-01
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Online Access: | https://doi.org/10.1038/s41540-017-0010-7 |
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doaj-8a660ffbc4ef4cdea764d20b19e6fd5d2020-12-08T13:46:45ZengNature Publishing Groupnpj Systems Biology and Applications2056-71892017-03-013111010.1038/s41540-017-0010-7Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory processRobert J. H. Ross0R. E. Baker1Andrew Parker2M. J. Ford3R. L. Mort4C. A. Yates5Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radcliffe Observatory QuarterWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radcliffe Observatory QuarterWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radcliffe Observatory QuarterMRC Human Genetics Unit, MRC IGMM, Western General Hospital, University of EdinburghDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, Furness Building, Lancaster UniversityDepartment of Mathematical Sciences, Centre for Mathematical Biology, University of BathMath 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.https://doi.org/10.1038/s41540-017-0010-7 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Robert J. H. Ross R. E. Baker Andrew Parker M. J. Ford R. L. Mort C. A. Yates |
spellingShingle |
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 npj Systems Biology and Applications |
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 Publishing Group |
series |
npj Systems Biology and Applications |
issn |
2056-7189 |
publishDate |
2017-03-01 |
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. |
url |
https://doi.org/10.1038/s41540-017-0010-7 |
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