| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # han |
|
|
| Whole-blood 65-CpG multivariable linear age predictor selected for robust targeted measurement; it fits Horvath-transformed chronological age and inverse-transforms the return to years. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | chronological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | whole blood | |
| | **Data type** | DNA methylation | |
| | **Model type** | linear regression | |
| | **Year** | 2020 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["han"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Han, Y., et al. “New targeted approaches for epigenetic age predictions.” BMC Biology 18, 71 (2020). |
|
|
| https://doi.org/10.1186/s12915-020-00807-2 |
|
|
