ArticleJournal of the Royal Society, Interface2012
A methodology for global-sensitivity analysis of time-dependent outputs in systems biology modelling.
Article in Journal of the Royal Society, Interface, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Medical digital twins: enabling precision medicine and medical artificial intelligence.The Lancet. Digital health · 2025Review
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- A Mathematical Exploration of the Effects of Ischemia-Reperfusion Injury After a Myocardial Infarction.Bioengineering (Basel, Switzerland) · 2025Article
- Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients.Journal of the Royal Society, Interface · 2025Article
- Modulation of the cytoskeleton for cancer therapy.Frontiers in cell and developmental biology · 2025Article
- Parameter inference in a computational model of haemodynamics in pulmonary hypertension.Journal of the Royal Society, Interface · 2023Article
- Localization of Noise in Biochemical Networks.ACS omega · 2023Article
- Complex dynamics of an epidemic model with saturated media coverage and recovery.Nonlinear dynamics · 2022Article
- In Silico Modeling and Simulation to Guide Bioequivalence Testing for Oral Drugs in a Virtual Population.Clinical pharmacokinetics · 2021Review
- Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model.Journal of theoretical biology · 2021Article
- Using Physiologically Based Pharmacokinetic Modeling to Assess the Risks of Failing Bioequivalence Criteria: a Tale of Two Ibuprofen Products.The AAPS journal · 2020Article
- The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans.BMC public health · 2020Article
- Considerations and Caveats when Applying Global Sensitivity Analysis Methods to Physiologically Based Pharmacokinetic Models.The AAPS journal · 2020Article
- Regulation of CSF and Brain Tissue Sodium Levels by the Blood-CSF and Blood-Brain Barriers During Migraine.Frontiers in computational neuroscience · 2020Article
- Stem cell biomanufacturing under uncertainty: A case study in optimizing red blood cell production.AIChE journal. American Institute of Chemical Engineers · 2018Article
- Assessing the impact of the 4CL enzyme complex on the robustness of monolignol biosynthesis using metabolic pathway analysis.PloS one · 2018Article
- Article
- Hilbert-Schmidt and Sobol sensitivity indices for static and time series Wnt signaling measurements in colorectal cancer - part A.BMC systems biology · 2017Article
- Mathematical and Computational Modeling in Complex Biological Systems.BioMed research international · 2017Review
- Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection.PloS one · 2015Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the main challenges in the development of mathematical and computational models of biological systems is the precise estimation of parameter values. Understanding the effects of uncertainties in parameter values on model behaviour is crucial to the successful use of these models. Global sensitivity analysis (SA) can be used to quantify the variability in model predictions resulting from the uncertainty in multiple parameters and to shed light on the biological mechanisms driving system behaviour. We present a new methodology for global SA in systems biology which is computationally efficient and can be used to identify the key parameters and their interactions which drive the dynamic behaviour of a complex biological model. The approach combines functional principal component analysis with established global SA techniques. The methodology is applied to a model of the insulin signalling pathway, defects of which are a major cause of type 2 diabetes and a number of key features of the system are identified.
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