ArticleBMC systems biology2013
Identification of parameter correlations for parameter estimation in dynamic biological models.
Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed.
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- Dynamic Model Selection and Optimal Batch Design for Polyhydroxyalkanoate (PHA) Production by Cupriavidus necator.Applied biochemistry and biotechnology · 2024Article
- Modeling resistance to the broadly neutralizing antibody PGT121 in people living with HIV-1.PLoS computational biology · 2024Article
- Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices.Plant phenomics (Washington, D.C.) · 2024Article
- A Continuation Technique for Maximum Likelihood Estimators in Biological Models.Bulletin of mathematical biology · 2023Article
- Kinetic and data-driven modeling of pancreatic β-cell central carbon metabolism and insulin secretion.PLoS computational biology · 2022Article
- Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference.Ecological applications : a publication of the Ecological Society of America · 2021Article
- An ecophysiological model of plant-pest interactions: the role of nutrient and water availability.Journal of the Royal Society, Interface · 2020Article
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- Comprehensive Review of Models and Methods for Inferences in Bio-Chemical Reaction Networks.Frontiers in genetics · 2019Review
- Application of chemical reaction engineering principles to 'body-on-a-chip' systems.AIChE journal. American Institute of Chemical Engineers · 2018Article
- Information sensitivity functions to assess parameter information gain and identifiability of dynamical systems.Journal of the Royal Society, Interface · 2018Article
- Optimal Model Parameter Estimation from EEG Power Spectrum Features Observed during General Anesthesia.Neuroinformatics · 2018Article
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- Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems.BMC systems biology · 2017Article
- Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.Environmental science & technology · 2017Article
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- A simple method for identifying parameter correlations in partially observed linear dynamic models.BMC systems biology · 2015Article
- Review
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2 authors.
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Abstract
backgroundOne of the challenging tasks in systems biology is parameter estimation in nonlinear dynamic models. A biological model usually contains a large number of correlated parameters leading to non-identifiability problems. Although many approaches have been developed to address both structural and practical non-identifiability problems, very few studies have been made to systematically investigate parameter correlations.
resultsIn this study we present an approach that is able to identify both pairwise parameter correlations and higher order interrelationships among parameters in nonlinear dynamic models. Correlations are interpreted as surfaces in the subspaces of correlated parameters. Based on the correlation information obtained in this way both structural and practical non-identifiability can be clarified. Moreover, it can be concluded from the correlation analysis that a minimum number of data sets with different inputs for experimental design are needed to relieve the parameter correlations, which corresponds to the maximum number of correlated parameters among the correlation groups.
conclusionsThe information of pairwise and higher order interrelationships among parameters in biological models gives a deeper insight into the cause of non-identifiability problems. The result of our correlation analysis provides a necessary condition for experimental design in order to acquire suitable measurement data for unique parameter estimation.
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