Mugen-UMAP: UMAP visualization and clustering of mutated genes in single-cell DNA sequencing data
The application of Mugen-UMAP demonstrates its capacity to provide valuable insights into the visualization and interpretation of single-cell DNA sequencing data. Mugen-UMAP can be found at https://github.com/tengchn/Mugen-UMAP.
Authors
- Allen G. Rodrigo (ORCID: https://orcid.org/0000-0002-8327-7317)
- Yiran Zou (ORCID: https://orcid.org/0000-0002-5956-3575)
- Xianghan Li
- Thomas K. F. Wong (ORCID: https://orcid.org/0000-0002-0580-6324)
- Teng Li (ORCID: https://orcid.org/0000-0002-3224-0477)
Institutions
- Australian National University (AU)
- University of Auckland (NZ)
- Auckland University of Technology (NZ)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1186/s12859-024-05928-x
- Citations
- 6
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- University of Auckland