| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # epitoc1 | |
| Relative mitotic-age score equal to the mean beta value across 385 polycomb-target promoter CpGs; it is not an absolute division count. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | mitotic age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | multi-tissue, whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | mean methylation aggregation | | |
| | **Year** | 2016 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["epitoc1"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Yang, Zhen, et al. "Correlation of an epigenetic mitotic clock with cancer risk." Genome Biology 17 (2016): 205. | |
| https://doi.org/10.1186/s13059-016-1064-3 | |