Optimisation modelling of cancer growth
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 para...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/58449 |
| _version_ | 1848760263021428736 |
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| author | Jones, T. Caccetta, Louis Rehbock, Volker |
| author_facet | Jones, T. Caccetta, Louis Rehbock, Volker |
| author_sort | Jones, T. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:12:59Z |
| format | Conference Paper |
| id | curtin-20.500.11937-58449 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:12:59Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-584492017-11-24T05:46:55Z Optimisation modelling of cancer growth Jones, T. Caccetta, Louis Rehbock, Volker 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. 2017 Conference Paper http://hdl.handle.net/20.500.11937/58449 10.3934/dcdsb.2017006 unknown |
| spellingShingle | Jones, T. Caccetta, Louis Rehbock, Volker Optimisation modelling of cancer growth |
| title | Optimisation modelling of cancer growth |
| title_full | Optimisation modelling of cancer growth |
| title_fullStr | Optimisation modelling of cancer growth |
| title_full_unstemmed | Optimisation modelling of cancer growth |
| title_short | Optimisation modelling of cancer growth |
| title_sort | optimisation modelling of cancer growth |
| url | http://hdl.handle.net/20.500.11937/58449 |