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

Abstract:

In this work we implement approximate Bayesian computational methods to improve the design of a wound-healing assay used to quantify cell-cell interactions. This is important as cell-cell interactions, such as adhesion and repulsion, have been shown to play a role in cell migration. Initially, we demonstrate with a model of an unrealistic experiment that we are able to identify model parameters that describe agent motility and adhesion, given we choose appropriate summary statistics for our m...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1038/s41540-017-0010-7

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Department:
Oxford, MPLS, Mathematical Institute
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Department:
St Hughs College
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Department:
Oxford, MPLS, Mathematical Institute
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Publisher:
Nature Publishing Group Publisher's website
Journal:
npj Systems Biology and Applications Journal website
Volume:
3
Issue:
1
Pages:
1-10
Publication date:
2017-03-10
Acceptance date:
2017-01-10
DOI:
EISSN:
2056-7189
ISSN:
2056-7189
Pubs id:
pubs:687823
URN:
uri:9c4f5724-45ca-4abd-8643-20031c6b489a
UUID:
uuid:9c4f5724-45ca-4abd-8643-20031c6b489a
Local pid:
pubs:687823

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