InterVelo: a mutually enhancing model for estimating pseudotime and RNA velocity in multi-omic single-cell data
InterVelo is implemented using Python, and the code is available on GitHub https://github.com/yurouwang-rosie/InterVelo and has been archived with a DOI https://doi.org/10.5281/zenodo.16158798 for reproducibility.
Authors
- Zhixiang Lin (ORCID: https://orcid.org/0000-0001-9301-947X)
- Yurou Wang (ORCID: https://orcid.org/0000-0002-2176-2069)
- Tao Wang (ORCID: https://orcid.org/0000-0002-8095-2479)
Institutions
- Chinese University of Hong Kong (HK)
- Shanghai Jiao Tong University (CN)
- Institute of Mathematical Statistics (US)
- Shanghai Center For Bioinformation Technology (CN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1093/bioinformatics/btaf500
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University
- Fundamental Research Funds for the Central Universities