ArticleBioinformatics (Oxford, England)2012
An integrated strategy for prediction uncertainty analysis.
Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
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- A protocol for dynamic model calibration.Briefings in bioinformatics · 2022Article
- Automated model calibration with parallel MCMC: Applications for a cardiovascular system model.Frontiers in physiology · 2022Article
- QSPcc reduces bottlenecks in computational model simulations.Communications biology · 2021Article
- Uncertainty in model-based treatment decision support: Applied to aortic valve stenosis.International journal for numerical methods in biomedical engineering · 2020Article
- Design of a MAPK signalling cascade balances energetic cost versus accuracy of information transmission.Nature communications · 2020Article
- Quantitative Kinetic Models from Intravital Microscopy: A Case Study Using Hepatic Transport.The journal of physical chemistry. B · 2019Article
- Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.Endocrine-related cancer · 2019Review
- Uncertainty quantification, propagation and characterization by Bayesian analysis combined with global sensitivity analysis applied to dynamical intracellular pathway models.Bioinformatics (Oxford, England) · 2019Article
- A statistical framework for quantification and visualisation of positional uncertainty in deep brain stimulation electrodes.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2019Article
- Quantifying the relative importance of experimental data points in parameter estimation.BMC systems biology · 2018Article
- An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling.Nature communications · 2018Article
- Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering.Bioinformatics (Oxford, England) · 2018Article
- Article
- A confidence building exercise in data and identifiability: Modeling cancer chemotherapy as a case study.Journal of theoretical biology · 2017Article
- Mathematical and Computational Modeling in Complex Biological Systems.BioMed research international · 2017Review
- Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions.BMC bioinformatics · 2015Article
- Dynamical crises, multistability and the influence of the duration of immunity in a seasonally-forced model of disease transmission.Theoretical biology & medical modelling · 2014Article
- A "middle-out" approach to human pharmacokinetic predictions for OATP substrates using physiologically-based pharmacokinetic modeling.Journal of pharmacokinetics and pharmacodynamics · 2014Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
motivationTo further our understanding of the mechanisms underlying biochemical pathways mathematical modelling is used. Since many parameter values are unknown they need to be estimated using experimental observations. The complexity of models necessary to describe biological pathways in combination with the limited amount of quantitative data results in large parameter uncertainty which propagates into model predictions. Therefore prediction uncertainty analysis is an important topic that needs to be addressed in Systems Biology modelling.
resultsWe propose a strategy for model prediction uncertainty analysis by integrating profile likelihood analysis with Bayesian estimation. Our method is illustrated with an application to a model of the JAK-STAT signalling pathway. The analysis identified predictions on unobserved variables that could be made with a high level of confidence, despite that some parameters were non-identifiable. AVAILABILITY AND IMPLEMENTATION: Source code is available at: http://bmi.bmt.tue.nl/sysbio/software/pua.html.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.