Benchmarking single-cell cross-omics imputation methods for surface protein expression
Based on our results, Seurat v4 (PCA) and Seurat v3 (PCA) demonstrate exceptional performance, offering promising avenues for further research in single-cell omics.
Authors
- Chenyang Li (ORCID: https://orcid.org/0000-0002-9144-5827)
- Yan Hong (ORCID: https://orcid.org/0000-0002-2954-8788)
- Bo Li (ORCID: https://orcid.org/0000-0001-9944-0003)
- Xiao-Fei Zhang
Institutions
- Central China Normal University (CN)
Publication Details
- Journal
- Genome biology
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1186/s13059-025-03514-9
- Citations
- 4
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities