期刊
JOURNAL OF THE ROYAL SOCIETY INTERFACE
卷 12, 期 104, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rsif.2014.1303
关键词
systems biology models; experimental optimization; statistical estimation; circadian clocks; signalling systems
资金
- BBSRC SABR grant [BB/F005261/1, BB/F005938/1]
- EPSRC [EP/C544587/1]
- BBSRC [BB/K003097/1]
- Biotechnology and Biological Sciences Research Council [BB/F005814/1, BB/F005938/2, BB/F005938/1, BB/F005261/1, BB/K003097/1] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/C544587/1] Funding Source: researchfish
- BBSRC [BB/F005261/1, BB/F005814/1, BB/F005938/2, BB/F005938/1, BB/K003097/1] Funding Source: UKRI
- EPSRC [EP/C544587/1] Funding Source: UKRI
We provide analytical tools to facilitate a rigorous assessment of the quality and value of the fit of a complex model to data. We use this to provide approaches to model fitting, parameter estimation, the design of optimization functions and experimental optimization. This is in the context where multiple constraints are used to select or optimize a large model defined by differential equations. We illustrate the approach using models of circadian clocks and the NF-kappa B signalling system.
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