Journal
JOURNAL OF THE ROYAL SOCIETY INTERFACE
Volume 12, Issue 104, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsif.2014.1303
Keywords
systems biology models; experimental optimization; statistical estimation; circadian clocks; signalling systems
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Funding
- 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
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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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