Efficient construction of Markov state models for stochastic gene regulatory networks by domain decomposition
A DDA enables the efficient computation of MSMs with quantified uncertainty. Since the algorithm is trivially parallelizable, it can be applied to larger systems, which will inevitably lead to new insights into cell-regulatory dynamics.
Authors
- Maryam Yousefian (ORCID: https://orcid.org/0000-0003-4133-1239)
- Marcus Weber (ORCID: https://orcid.org/0000-0003-3939-410X)
- Anna-Simone Frank (ORCID: https://orcid.org/0000-0002-3728-3476)
- Susanna Röblitz (ORCID: https://orcid.org/0000-0002-2735-0030)
Institutions
- Zuse Institute Berlin (DE)
- University of Bergen (NO)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1186/s12859-025-06174-5
- Citations
- 1
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Universitetet i Bergen