Abstraction-based segmental simulation of reaction networks using adaptive memoization
We demonstrate that in combination with a novel fully automatic and adaptive hybrid simulation scheme, we can speed up the generation of trajectories significantly and correctly predict the transient behavior of complex stochastic systems.
Authors
- Milan Češka (ORCID: https://orcid.org/0000-0002-0300-9727)
- Martin Helfrich (ORCID: https://orcid.org/0000-0002-3191-8098)
- Roman Andriushchenko (ORCID: https://orcid.org/0000-0002-1286-934X)
- Štefan Martiček (ORCID: https://orcid.org/0000-0003-4498-7436)
- David Šafránek (ORCID: https://orcid.org/0000-0002-0713-2431)
- Jan Křetínský (ORCID: https://orcid.org/0000-0002-8122-2881)
Institutions
- Masaryk University (CZ)
- Brno University of Technology (CZ)
- Technical University of Munich (DE)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1186/s12859-024-05966-5
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Grantová Agentura České Republiky
- Masarykova Univerzita
- Fakulta Informačních Technologií, Vysoké Učení Technické v Brně