A Stochastic Model for Wound Healing
dc.contributor.author | Callaghan, Thomas | en_US |
dc.contributor.author | Khain, Evgeniy | en_US |
dc.contributor.author | Sander, Leonard M. | en_US |
dc.contributor.author | Ziff, Robert M. | en_US |
dc.date.accessioned | 2006-09-11T15:42:52Z | |
dc.date.available | 2006-09-11T15:42:52Z | |
dc.date.issued | 2006-03 | en_US |
dc.identifier.citation | Callaghan, Thomas; Khain, Evgeniy; Sander, Leonard M.; Ziff, Robert M.; (2006). "A Stochastic Model for Wound Healing." Journal of Statistical Physics 122(5): 909-924. <http://hdl.handle.net/2027.42/45137> | en_US |
dc.identifier.issn | 0022-4715 | en_US |
dc.identifier.issn | 1572-9613 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45137 | |
dc.description.abstract | We present a discrete stochastic model which represents many of the salient features of the biological process of wound healing. The model describes fronts of cells invading a wound. We have numerical results in one and two dimensions. In one dimension we can give analytic results for the front speed as a power series expansion in a parameter, p , that gives the relative size of proliferation and diffusion processes for the invading cells. In two dimensions the model becomes the Eden model for p ≈ 1. In both one and two dimensions for small p , front propagation for this model should approach that of the Fisher-Kolmogorov equation. However, as in other cases, this discrete model approaches Fisher-Kolmogorov behavior slowly. | en_US |
dc.format.extent | 250249 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers-Plenum Publishers; Springer Science+Business Media, Inc. | en_US |
dc.subject.other | Fisher-Kolmogorov Equation | en_US |
dc.subject.other | Wound Healing | en_US |
dc.subject.other | Front Propagation | en_US |
dc.subject.other | Stochastic Modeling | en_US |
dc.title | A Stochastic Model for Wound Healing | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Michigan Center for Theoretical Physics, Michigan, USA; Department of Physics, University of Michigan, Michigan, USA | en_US |
dc.contributor.affiliationum | Michigan Center for Theoretical Physics, Michigan, USA; Department of Physics, University of Michigan, Michigan, USA | en_US |
dc.contributor.affiliationum | Michigan Center for Theoretical Physics, Michigan, USA; Department of Chemical Engineering, University of Michigan, Michigan, USA | en_US |
dc.contributor.affiliationother | School of Mathematics, Georgia Institute of Technology, Georgia, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45137/1/10955_2006_Article_9022.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s10955-006-9022-1 | en_US |
dc.identifier.source | Journal of Statistical Physics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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