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The impact of experimental design choices on parameter inference for models of growing cell colonies

Abstract:

To better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment. Inferring parameters associated with mechanistic models of cell colony growth using quantitative data collected from carefully designed experiments provides a natural means to elucidate the relative contributions of various processes to the growth of the colony. In this work, we explore ho...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsos.180384

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0002-6304-9333
More from this funder
Name:
Biotechnology and Biological Sciences Research Council
Funding agency for:
Baker, R
Grant:
BB/R000816/1
More from this funder
Name:
Leverhulme Trust
Funding agency for:
Baker, R
Grant:
BB/R000816/1
More from this funder
Name:
Royal Society
Funding agency for:
Baker, R
Grant:
BB/R000816/1
More from this funder
Name:
Engineering and Physical Sciences Research Council
Funding agency for:
Parker, A
Grant:
EP/G03706X/1
Publisher:
Royal Society
Journal:
Royal Society Open Science More from this journal
Volume:
5
Issue:
8
Article number:
180384
Publication date:
2018-08-29
Acceptance date:
2018-07-18
DOI:
ISSN:
2054-5703
Keywords:
Pubs id:
pubs:880590
UUID:
uuid:239575d0-1024-4cb0-aa9e-99417342642c
Local pid:
pubs:880590
Source identifiers:
880590
Deposit date:
2018-07-18

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