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A Stochastic Model for Wound Healing

dc.contributor.authorCallaghan, Thomasen_US
dc.contributor.authorKhain, Evgeniyen_US
dc.contributor.authorSander, Leonard M.en_US
dc.contributor.authorZiff, Robert M.en_US
dc.date.accessioned2006-09-11T15:42:52Z
dc.date.available2006-09-11T15:42:52Z
dc.date.issued2006-03en_US
dc.identifier.citationCallaghan, 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.issn0022-4715en_US
dc.identifier.issn1572-9613en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45137
dc.description.abstractWe 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.extent250249 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Springer Science+Business Media, Inc.en_US
dc.subject.otherFisher-Kolmogorov Equationen_US
dc.subject.otherWound Healingen_US
dc.subject.otherFront Propagationen_US
dc.subject.otherStochastic Modelingen_US
dc.titleA Stochastic Model for Wound Healingen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumMichigan Center for Theoretical Physics, Michigan, USA; Department of Physics, University of Michigan, Michigan, USAen_US
dc.contributor.affiliationumMichigan Center for Theoretical Physics, Michigan, USA; Department of Physics, University of Michigan, Michigan, USAen_US
dc.contributor.affiliationumMichigan Center for Theoretical Physics, Michigan, USA; Department of Chemical Engineering, University of Michigan, Michigan, USAen_US
dc.contributor.affiliationotherSchool of Mathematics, Georgia Institute of Technology, Georgia, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45137/1/10955_2006_Article_9022.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s10955-006-9022-1en_US
dc.identifier.sourceJournal of Statistical Physicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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