Visualization of marginals, credibility intervals and ensemble output predictions
For each drug and condition, there is one:
- Visualization of the marginals and the sampling traces
- The credibility intervals for the parameters with the median
- Visualization of the individual ensemble output predictions with boxplots of the underlying data
Furthermore all conditions of the ensemble output predictions for one drug are visulized in one plot.
SEEK ID: https://fairdomhub.org/data_files/6128?version=2
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Visualization.zip
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Created: 22nd Jul 2022 at 07:57
Last updated: 8th Dec 2022 at 17:39
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Version 2 (latest) Created 7th Dec 2022 at 16:09 by Sebastian Höpfl
Increased sample size to 200,000 on 4 parallel chains. Increased bounds of parameters to a uniform prior distribution in the interval [0, 100] for parameters A and B and [0,1000] for σ.
Version 1 (earliest) Created 22nd Jul 2022 at 07:57 by Sebastian Höpfl
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https://orcid.org/0000-0002-5300-0915
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The experimental data of Midazolam, OH-Midazolam, Caffein, Codeine, Norcodeine, Codein-6Glucuronide, Morphine-3Glucuronide and Morphine was analyzed via a Bayesian uncertainty quantification. An underlying model describing the bolus injection, followed by the exponential decay was written in sbml and a PEtab problem was created. The sampling and ensemble creation was conducted with the python toolbox pyPESTO.
For further details, please take a look at the methods section of the paper.
Submitter: Sebastian Höpfl
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
