Dynamic gene regulatory network inference from single-cell data using optimal transport
Matlab implementation of the method and code for data generation are at gitlab.com/uniluxembourg/lcsb/systems-control/grit together with a user guide. A snapshot of the code used for the results of this article is at doi: 10.5281/zenodo.15582432.
Authors
- François Lamoline (ORCID: https://orcid.org/0000-0003-4289-2329)
- Jorge Gonçalves (ORCID: https://orcid.org/0000-0002-5228-6165)
- Atte Aalto (ORCID: https://orcid.org/0000-0002-6876-474X)
- Johan Karlsson (ORCID: https://orcid.org/0009-0007-3575-6747)
- Isabel Haasler (ORCID: https://orcid.org/0000-0002-2484-0181)
Institutions
- Uppsala University (SE)
- University of Luxembourg (LU)
- University of Cambridge (GB)
- Cambridge School (PT)
- Bridge University (SS)
- Luxembourg Institute of Health (LU)
- Informa (Sweden) (SE)
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1093/bioinformatics/btaf394
- Citations
- 2
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Université du Luxembourg
- Fonds National de la Recherche Luxembourg