Mathematical modelling of cancer growth
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 des...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Curtin University
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/2546 |
| _version_ | 1848743983608496128 |
|---|---|
| author | Jones, Tiffany |
| author_facet | Jones, Tiffany |
| author_sort | Jones, Tiffany |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:54:14Z |
| format | Thesis |
| id | curtin-20.500.11937-2546 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:54:14Z |
| publishDate | 2014 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-25462017-02-20T06:38:21Z Mathematical modelling of cancer growth Jones, Tiffany 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. 2014 Thesis http://hdl.handle.net/20.500.11937/2546 en Curtin University fulltext |
| spellingShingle | Jones, Tiffany Mathematical modelling of cancer growth |
| title | Mathematical modelling of cancer growth |
| title_full | Mathematical modelling of cancer growth |
| title_fullStr | Mathematical modelling of cancer growth |
| title_full_unstemmed | Mathematical modelling of cancer growth |
| title_short | Mathematical modelling of cancer growth |
| title_sort | mathematical modelling of cancer growth |
| url | http://hdl.handle.net/20.500.11937/2546 |