Bin2cell reconstructs cells from high resolution Visium HD data
Bin2cell is available at https://github.com/Teichlab/bin2cell, along with documentation and usage examples, and can be installed from pip. Probe design functionality is available at https://github.com/Teichlab/gene2probe.
Authors
- Raquel Bartolomé-Casado (ORCID: https://orcid.org/0000-0002-8966-9047)
- Ioannis Sarropoulos (ORCID: https://orcid.org/0000-0002-2242-0562)
- Sarah Amalia Teichmann (ORCID: https://orcid.org/0000-0002-6294-6366)
- Frode L. Jahnsen (ORCID: https://orcid.org/0000-0003-3843-7171)
- Nick England (ORCID: https://orcid.org/0000-0002-5281-276X)
- Chuan Xu (ORCID: https://orcid.org/0000-0002-6265-999X)
- Nadav Yayon (ORCID: https://orcid.org/0000-0002-7034-0524)
- Krzysztof Polański (ORCID: https://orcid.org/0000-0002-2586-9576)
Institutions
- Oslo University Hospital (NO)
- European Bioinformatics Institute (GB)
- University of Oslo (NO)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- University of Cambridge (GB)
- Macmillan Cancer Support (GB)
- Wellcome Sanger Institute (GB)
Publication Details
- Journal
- Bioinformatics
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1093/bioinformatics/btae546
- Citations
- 59
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 13.80
Funders
- Canadian Institute for Advanced Research
- Wellcome Trust
- UK Research and Innovation
- Medical Research Council
- Engineering and Physical Sciences Research Council