ArticleBioinformatics (Oxford, England)2023
STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Raman-guided sample subset selection for cost-efficient offline calibration in bioprocesses.Bioprocess and biosystems engineering · 2026Article
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- Leveraging mathematical models to predict and control T-cell activation.PLoS computational biology · 2026Article
- Inference and prediction for stochastic models of biological populations undergoing migration and proliferation.Journal of the Royal Society, Interface · 2025Review
- Analysing the Structural Identifiability and Observability of Mechanistic Models of Tumour Growth.Bioengineering (Basel, Switzerland) · 2025Article
- A mechanistic computational model of HGF-VEGF-mediated endothelial cell proliferation and vascular permeability.iScience · 2025Article
- Logic-based modeling of inflammatory macrophage cross talk with glomerular endothelial cells in diabetic kidney disease.American journal of physiology. Renal physiology · 2025Article
- Employing Observability Rank Conditions for Taking into Account Experimental Information a priori.Bulletin of mathematical biology · 2025Article
- Navigating the landscape of parameter identifiability methods: A workflow recommendation for model development.CPT: pharmacometrics & systems pharmacology · 2024Article
- Ideal adaptive control in biological systems: an analysis ofBMC bioinformatics · 2024Article
- Endothelial cells signaling and patterning under hypoxia: a mechanistic integrative computational model including the Notch-Dll4 pathway.Frontiers in physiology · 2024Article
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- Distilling identifiable and interpretable dynamic models from biological data.PLoS computational biology · 2023Article
- Structural identifiability of biomolecular controller motifs with and without flow measurements as model output.PLoS computational biology · 2023Article
- Structural Identifiability and Observability of Microbial Community Models.Bioengineering (Basel, Switzerland) · 2023Article
- Benchmarking tools for a priori identifiability analysis.Bioinformatics (Oxford, England) · 2023Article
- ASAS-NANP symposium: Mathematical Modeling in Animal Nutrition: The power of identifiability analysis for dynamic modeling in animal science:a practitioner approach.Journal of animal science · 2023Article
- Improving dynamic predictions with ensembles of observable models.Bioinformatics (Oxford, England) · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
motivationSTRIKE-GOLDD is a toolbox that analyses the structural identifiability and observability of possibly non-linear, non-rational ODE models that may have known and unknown inputs. Its broad applicability comes at the expense of a lower computational efficiency than other tools.
resultsSTRIKE-GOLDD 4.0 includes a new algorithm, ProbObsTest, specifically designed for the analysis of rational models. ProbObsTest is significantly faster than the previously available FISPO algorithm when applied to computationally expensive models. Providing both algorithms in the same toolbox allows combining generality and computational efficiency. STRIKE-GOLDD 4.0 is implemented as a Matlab toolbox with a user-friendly graphical interface. AVAILABILITY AND IMPLEMENTATION: STRIKE-GOLDD 4.0 is a free and open-source tool available under a GPLv3 license. It can be downloaded from GitHub at https://github.com/afvillaverde/strike-goldd. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
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.