scACCorDiON: a clustering approach for explainable patient level cell–cell communication graph analysis
The code of scACCorDiON is available at https://scaccordion.readthedocs.io/en/latest/. and https://doi.org/10.5281/zenodo.15267648. The survival analysis package can be found at https://github.com/CostaLab/scACCorDiON.su.
Authors
- Tiago Maié (ORCID: https://orcid.org/0000-0003-4857-4014)
- Michael T. Schaub (ORCID: https://orcid.org/0000-0003-2426-6404)
- James S. Nagai (ORCID: https://orcid.org/0000-0002-7655-7206)
- Ivan G. Costa (ORCID: https://orcid.org/0000-0003-2890-8697)
Institutions
- RWTH Aachen University (DE)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf288
- Citations
- 1
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.81