Benchmark-Models-PEtab
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add new model Liu_IFACPapersOnLine2025
Checklist for the submission of new PEtab problems
- [ ] The PEtab problem is based on a model that is peer-reviewed and published
- [ ] The problem ID is in the format
{LAST_NAME_OF_FIRST_AUTHOR}_{ABBREVIATED_JOURNAL_NAME}{YEAR_OF_PUBLICATION}$\to$ We useIFACPapersOnLineinstead of the ISO Journal abbreviation due to the-that can not be used in SBMLid - [x] The problem ID is in the pull request title
- [x] There is a GitHub issue for this problem: closes #257
- [x] The problem ID is in the issue title
- [x] A brief model description (one or two sentences)
- [x] A brief data description (one or two sentences)
- [x] The issue and PR are linked to each other
- [x] Differences between the implementation and the original publication are described
- [x] Experience of fitting / uncertainty analysis (e.g. optimizer used, hyperparameters, reproducibility of best fit)
- [x] Source of nominal parameters (e.g.: taken from the original publication, or from your own fitting)
- [ ] The SBML file
- [ ] PEtab files
- [x] A "simulated data" measurement table is included, using the nominal parameters
- [x] A visualization table is included, that can be used with the simulated data to reproduce figures from the original publication
- [x] The PEtab problem is valid (check with e.g.
petablint -vy problem.yaml)
- [x] The PEtab problem author(s) are assigned to the GitHub issue
- [ ] The README has been updated with
bmp-create-overview --update(requirespip install -e src/python/bmpfrom the repository root)- [ ] The new PEtab problem row in the generated table has the correct reference (and other entries)
This is a draft, waiting for the model to be published.