Estimation and identifiability of kinetic parameters in dynamical models of biochemical reaction networks
| dc.contributor.author | Frøysa, Håvard G | |
| dc.date.accessioned | 2020-02-18T13:58:56Z | |
| dc.date.available | 2020-02-18T13:58:56Z | |
| dc.date.issued | 2020-02-18 | |
| dc.date.submitted | 2020-01-09T13:25:51.529Z | |
| dc.identifier | container/96/fb/5f/a1/96fb5fa1-248f-4fb8-a5a5-4c88f69e01d3 | |
| dc.identifier.uri | https://hdl.handle.net/1956/21430 | |
| dc.description.abstract | This dissertation is a partial fulfillment of the requirements for the degree Doctor of Philosophy (PhD) at the Department of Mathematics, University of Bergen. The subject of the thesis is estimation of parameters in dynamical models of biochemical reaction networks. | en_US |
| dc.language.iso | eng | eng |
| dc.publisher | The University of Bergen | en_US |
| dc.relation.haspart | Paper A: Håvard G. Frøysa, Hans J. Skaug and Guttorm Alendal. Experimental design for parameter estimation in steady-state linear models of metabolic networks. Mathematical Biosciences 319:108291 (2020). The article is not available in the thesis file. The published version is available at: <a href="https://doi.org/10.1016/j.mbs.2019.108291" target="blank">https://doi.org/10.1016/j.mbs.2019.108291</a>. | en_US |
| dc.relation.haspart | Paper B: Håvard G. Frøysa, Shirin Fallahi and Nello Blaser. Evaluating model reduction under parameter uncertainty. BMC Systems Biology, 12:79 (2018). The article is available in the thesis file. The article is also available at: <a href="http://doi.org/10.1186/s12918-018-0602-x" target="blank">http://doi.org/10.1186/s12918-018-0602-x</a>. | en_US |
| dc.relation.haspart | Paper C: Kareem Eldin Mohammed Ahmed, Håvard G. Frøysa, Odd André Karlsen, Jørn V. Sagen, Gunnar Mellgren, Steven Verhaegen, Erik Ropstad, Anders Goksøyr and Ralf Kellmann. LC-MS/MS based profiling and dynamic modelling of the steroidogenesis pathway in adrenocarcinoma H295R cells. Toxicology in Vitro, 52, 332-341 (2018). The article is available in the thesis file. The article is also available at: <a href="https://doi.org/10.1016/j.tiv.2018.07.002" target="blank">https://doi.org/10.1016/j.tiv.2018.07.002</a>. | en_US |
| dc.relation.haspart | Paper D: Kareem Eldin Mohammed Ahmed, Håvard G. Frøysa, Odd André Karlsen, Nello Blaser, Karin Elisabeth Zimmer, Hanne Friis Berntsen, Steven Verhaegen, Erik Ropstad, Ralf Kellmann and Anders Goksøyr. Effects of defined mixtures of POPs and endocrine disruptors on the steroid metabolome of the human H295R adrenocortical cell line. Chemosphere, 218, 328-339 (2019). The article is available in the thesis file. The article is also available at: <a href="https://doi.org/10.1016/j.chemosphere.2018.11.057" target="blank">https://doi.org/10.1016/j.chemosphere.2018.11.057</a>. | en_US |
| dc.relation.haspart | Paper E: Håvard G. Frøysa. Experimental design for parameter estimation in a dynamical model of the steroidogenesis pathway with a binary tree structure. The article is not available in the thesis file. | en_US |
| dc.rights | Attribution (CC BY) | eng |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | eng |
| dc.title | Estimation and identifiability of kinetic parameters in dynamical models of biochemical reaction networks | en_US |
| dc.type | Doctoral thesis | |
| dc.date.updated | 2020-01-09T13:25:51.529Z | |
| dc.rights.holder | Copyright the Author. | en_US |
| fs.unitcode | 12-11-0 |
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