scBubbletree: computational approach for visualization of single cell RNA-seq data
To facilitate coherent quantification and visualization of scRNA-seq data we developed the R-package scBubbletree, which is freely available as part of the Bioconductor repository at: https://bioconductor.org/packages/scBubbletree/.
Authors
- Yingying Cao (ORCID: https://orcid.org/0000-0003-2812-2299)
- Dimitris Ttoouli
- Farnoush Farahpour (ORCID: https://orcid.org/0000-0002-4510-8483)
- Simo Kitanovski (ORCID: https://orcid.org/0000-0003-2909-5376)
- Daniel Hoffmann (ORCID: https://orcid.org/0000-0003-2973-7869)
- Jun Wang (ORCID: https://orcid.org/0000-0002-5890-0365)
Institutions
- Southern University of Science and Technology (CN)
- Shenzhen Third People’s Hospital (CN)
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1186/s12859-024-05927-y
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Deutsche Forschungsgemeinschaft
- Universität Duisburg-Essen