| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # stemtoc | |
| Relative mitotic-age counter based on the 95th percentile across 371 in-vivo-filtered mitotic CpGs. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | mitotic age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | multi-tissue, cultured human cells, whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | 95th-percentile methylation aggregation | | |
| | **Year** | 2024 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["stemtoc"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Zhu, Tianlei, et al. "An improved epigenetic counter to track mitotic age in cells." Nature Communications 15 (2024): 4211. | |
| https://doi.org/10.1038/s41467-024-48649-8 | |