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Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues

Abstract:

The growth and dynamics of epithelial tissues govern many morphogenetic processes in embryonic development. A recent quantitative transition in data acquisition, facilitated by advances in genetic and live-imaging techniques, is paving the way for new insights to these processes. Computational models can help us understand and interpret observations, and then make predictions for future experiments that can distinguish between hypothesised mechanisms. Increasingly, cell-based modelling approa...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jtbi.2018.01.020

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
St Hugh's College
Role:
Author
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Funding agency for:
Kursawe, J
Grant:
EP/N509711/1
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Funding agency for:
Baker, R
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Funding agency for:
Baker, R
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Funding agency for:
Fletcher, A
Publisher:
Elsevier Publisher's website
Journal:
Journal of Theoretical Biology Journal website
Volume:
443
Pages:
66-81
Publication date:
2018-01-31
Acceptance date:
2017-01-17
DOI:
EISSN:
1095-8541
ISSN:
0022-5193
Source identifiers:
820617
Keywords:
Pubs id:
pubs:820617
UUID:
uuid:e6ceca8c-524a-4a23-a177-ed9a9fc5067a
Local pid:
pubs:820617
Deposit date:
2018-01-19

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