Software Open Access
AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models
Fröhlich, Fabian;
Weindl, Daniel;
Schälte, Yannik;
Pathirana, Dilan;
Paszkowski, Lukasz;
Lines, Glenn Terje;
Stapor, Paul;
Hasenauer, Jan
Features:
- Performance: Limit newton step convergence check by @FFroehlich in https://github.com/AMICI-dev/AMICI/pull/1780
- More informative NaN/Inf warnings by @dweindl in https://github.com/AMICI-dev/AMICI/pull/1640
- SBML import can now handle initial events by @FFroehlich in https://github.com/AMICI-dev/AMICI/pull/1789
Fixes:
- Avoid error if no measurements in PEtab problem; fixed type handling in PEtab parameter mapping by @dilpath in https://github.com/AMICI-dev/AMICI/pull/1783
- Fixed substitution of expressions in root and stau by @dilpath in https://github.com/AMICI-dev/AMICI/pull/1784
- Workaround for PEtab problems with state-dependent noise models by @dweindl in https://github.com/AMICI-dev/AMICI/pull/1791
If you use this software, please cite both the article from preferred-citation and the software itself.
Files
(6.9 MB)
| Name | Size | |
|---|---|---|
|
AMICI-dev/AMICI-v0.11.29.zip
md5:69da1026352cae9bee291499f50ec982 |
6.9 MB | Download |
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- Publication date:
- May 6, 2022
- DOI:
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- Related identifiers:
- Supplement to
- License (for files):
- Other (Open)