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dc.contributor.authorJones, T.
dc.contributor.authorCaccetta, Louis
dc.contributor.authorRehbock, Volker
dc.identifier.citationJones, T. and Caccetta, L. and Rehbock, V. 2017. Optimisation modelling of cancer growth, pp. 115-123.

Several computational models have been developed in the litera- ture to describe the dynamics of the cell-cycle for the mammalian cell, in par- ticular for cancer cells, using both traditional and new techniques and yielding some positive results. In this paper, we discuss how to optimise model param- eters for these types of models and how this can serve to enhance numerical results. We pose the model parameter selection problem as an optimal param- eter selection problem on both a normal cell and cancer cell cycle of growth. Various possible objectives are discussed and we illustrate the process with some numerical results.

dc.titleOptimisation modelling of cancer growth
dc.typeConference Paper
dcterms.source.titleDiscrete and Continuous Dynamical Systems - Series B
dcterms.source.seriesDiscrete and Continuous Dynamical Systems - Series B
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access via publisher

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