Optimisation modelling of cancer growth
dc.contributor.author | Jones, T. | |
dc.contributor.author | Caccetta, Louis | |
dc.contributor.author | Rehbock, Volker | |
dc.date.accessioned | 2017-11-24T05:25:54Z | |
dc.date.available | 2017-11-24T05:25:54Z | |
dc.date.created | 2017-11-24T04:48:49Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Jones, T. and Caccetta, L. and Rehbock, V. 2017. Optimisation modelling of cancer growth, pp. 115-123. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/58449 | |
dc.identifier.doi | 10.3934/dcdsb.2017006 | |
dc.description.abstract |
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.title | Optimisation modelling of cancer growth | |
dc.type | Conference Paper | |
dcterms.source.volume | 22 | |
dcterms.source.startPage | 115 | |
dcterms.source.endPage | 123 | |
dcterms.source.issn | 1531-3492 | |
dcterms.source.title | Discrete and Continuous Dynamical Systems - Series B | |
dcterms.source.series | Discrete and Continuous Dynamical Systems - Series B | |
curtin.department | Department of Mathematics and Statistics | |
curtin.accessStatus | Open access via publisher |
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