Journal article
Comparing individual-based approaches to modelling the self-organization of multicellular tissues
- Abstract:
-
The coordinated behaviour of populations of cells plays a central role in tissue growth and renewal. Cells react to their microenvironment by modulating processes such as movement, growth and proliferation, and signalling. Alongside experimental studies, computational models offer a useful means by which to investigate these processes. To this end a variety of cell-based modelling approaches have been developed, ranging from lattice-based cellular automata to lattice-free models that treat ce...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Bibliographic Details
- Publisher:
- Public Library of Science Publisher's website
- Journal:
- PLoS Computational Biology Journal website
- Volume:
- 13
- Issue:
- 2
- Publication date:
- 2017-02-13
- Acceptance date:
- 2017-01-28
- DOI:
- EISSN:
-
1553-7358
- ISSN:
-
1553-734X
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:677393
- UUID:
-
uuid:04a48848-101c-4616-aef1-9a163225dc59
- Local pid:
- pubs:677393
- Source identifiers:
-
677393
- Deposit date:
- 2017-02-08
Terms of use
- Copyright holder:
- Osborne et al
- Copyright date:
- 2017
- Notes:
- © 2017 Osborne et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.
- Licence:
- CC Attribution (CC BY)
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