Tensor-cell2cell v2 unravels coordinated dynamics of protein- and metabolite-mediated cell–cell communication
Tensor-cell2cell v2 and its new coupled tensor component analysis are implemented in Python and available as part of the cell2cell framework at https://github.com/earmingol/cell2cell. This python library is available on PyPI. Code for the analyses of this manuscript can be found in a Code Ocean capsule at https://doi.org/10.24433/CO.0061424.v3, where analyses can be also run and reproduced online. Tutorials can be found at https://cell2cell.readthedocs.io.
Authors
- Reid O. Larsen (ORCID: https://orcid.org/0000-0002-9783-636X)
- Martin Cequeira
- Nathan E Lewis
- Hratch Baghdassarian
- Lia Gale
Institutions
- University of Georgia (US)
- University of California San Diego (US)
- La Jolla Bioengineering Institute (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf667
- Citations
- 1
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 22.24