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https://doi.org/10.21256/zhaw-1764Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Scheidegger, Stephan | - |
| dc.contributor.author | Fuchs, Hans Ulrich | - |
| dc.contributor.author | Füchslin, Rudolf Marcel | - |
| dc.date.accessioned | 2018-03-07T14:55:40Z | - |
| dc.date.available | 2018-03-07T14:55:40Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/3502 | - |
| dc.description.abstract | Observing dynamic patterns in silico and comparing them to experimental data in vitro or in vivo could help us identify and quantify dynamic processes. Since modellers are faced with a high degree of complexity of biological systems, appropriate concepts of system descriptions are needed. The use of state variables is expected to make models applicable to a wider range of the dynamics of biological systems. This is demonstrated by the Multi-Hit-Repair (MHR-)model which is based on a transient dose equivalent. The model calculates the survival of cells irradiated by ionizing radiation and it describes correctly a large variety of radio-biological observations. In addition, the MHR-model is bridging the gap between processes at the molecular or cellular level and tissue dynamics. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | NOLTA Society | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject.ddc | 570: Biologie | de_CH |
| dc.subject.ddc | 610: Medizin und Gesundheit | de_CH |
| dc.title | Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Angewandte Mathematik und Physik (IAMP) | de_CH |
| dc.identifier.doi | 10.21256/zhaw-1764 | - |
| zhaw.conference.details | Nonlinear Theory and Applications 2014 (NOLTA), Luzern, 14-18 September 2014 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 171 | de_CH |
| zhaw.pages.start | 168 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.publication.review | Peer review (Abstract) | de_CH |
| zhaw.title.proceedings | Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014 | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2014_Scheidegger_Computational Methods_NOLTA.pdf | 137.31 kB | Adobe PDF |  View/Open |
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Scheidegger, S., Fuchs, H. U., & Füchslin, R. M. (2014). Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems [Conference paper]. Proceedings of the International Symposium on Nonlinear Theory and Its Applications : NOLTA2014, Luzern, Switzerland, September 14-18, 2014, 168–171. https://doi.org/10.21256/zhaw-1764
Scheidegger, S., Fuchs, H.U. and Füchslin, R.M. (2014) ‘Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems’, in Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014. NOLTA Society, pp. 168–171. Available at: https://doi.org/10.21256/zhaw-1764.
S. Scheidegger, H. U. Fuchs, and R. M. Füchslin, “Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems,” in Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014, 2014, pp. 168–171. doi: 10.21256/zhaw-1764.
SCHEIDEGGER, Stephan, Hans Ulrich FUCHS und Rudolf Marcel FÜCHSLIN, 2014. Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems. In: Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014. Conference paper. NOLTA Society. 2014. S. 168–171
Scheidegger, Stephan, Hans Ulrich Fuchs, and Rudolf Marcel Füchslin. 2014. “Computational Methods for Exploring the Dynamics of Cancer : The Potential of State Variables for Description of Complex Biological Systems.” Conference paper. In Proceedings of the International Symposium on Nonlinear Theory and Its Applications : NOLTA2014, Luzern, Switzerland, September 14-18, 2014, 168–71. NOLTA Society. https://doi.org/10.21256/zhaw-1764.
Scheidegger, Stephan, et al. “Computational Methods for Exploring the Dynamics of Cancer : The Potential of State Variables for Description of Complex Biological Systems.” Proceedings of the International Symposium on Nonlinear Theory and Its Applications : NOLTA2014, Luzern, Switzerland, September 14-18, 2014, NOLTA Society, 2014, pp. 168–71, https://doi.org/10.21256/zhaw-1764.
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