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

Kursawe, J., Baker, R.E. and Fletcher, A.G. orcid.org/0000-0003-0525-4336 (2018) Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues. Journal of Theoretical Biology, 443. pp. 66-81. ISSN 0022-5193

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Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Journal of Theoretical Biology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Drosophila wing imaginal disc; approximate Bayesian computation; cell-based models; parameter inference; vertex models
Dates:
  • Accepted: 17 January 2018
  • Published (online): 31 January 2018
  • Published: 14 April 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 Feb 2018 11:30
Last Modified: 31 Jan 2019 01:38
Published Version: https://doi.org/10.1016/j.jtbi.2018.01.020
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jtbi.2018.01.020
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