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dc.contributor.authorJones, Tiffany
dc.contributor.supervisorProf. Lou Caccetta
dc.contributor.supervisorAssoc. Prof. Volker Rehbock
dc.date.accessioned2017-01-30T10:23:11Z
dc.date.available2017-01-30T10:23:11Z
dc.date.created2014-11-28T04:35:00Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/20.500.11937/2546
dc.description.abstract

In this thesis we use optimal parameter selection techniques to optimise parameters for mathematical models describing both non-cancerous and cancerous growths. We use computational methods to implement the optimal parameter selection models and discuss our results. We develop a novel model to describe melanoma growth using a set of ordinary differential equations. We incorporate into our model the mutated Braf protein which to our knowledge has not been included in a modelling sense until now.

dc.languageen
dc.publisherCurtin University
dc.titleMathematical modelling of cancer growth
dc.typeThesis
dcterms.educationLevelPhD
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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