| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # hep | |
| HepClock is a hepatocyte-specific chronological-age clock trained by lasso on hepatocyte age-DMCTs identified with CellDMC after estimating five liver cell fractions. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | chronological age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | liver | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | LASSO regression | | |
| | **Year** | 2024 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["hep"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Tong, Huige, et al. "Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution." Aging 16 (2024): 14204–14237. | |
| https://doi.org/10.18632/aging.206184 | |