Single-cell senescence identification reveals senescence heterogeneity, trajectory, and modulators
Peking University · Center for Life Sciences
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
112
total citations
- FWCI
- 34.10
- Percentile
- 100%
- References
- 152
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Senescence
- Transcriptome
- Biology
- Cellular senescence
- Computational biology
- Cell
- Identification (biology)
- Cell biology
No related works found for this paper.