| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # intrinclock |
|
|
| Multi-tissue chronological-age clock designed by excluding CpGs associated with CD8+ T-cell differentiation, then fitting two sequential elastic-net models so predictions remain stable across immune-cell composition. The article reports 381 CpGs; the official lambda.min model and this implementation both use the same 380 non-zero CpG inputs. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | chronological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | multi-tissue | |
| | **Data type** | DNA methylation | |
| | **Model type** | two-stage elastic net regression | |
| | **Year** | 2024 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["intrinclock"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Tomusiak, A., et al. “Development of an epigenetic clock resistant to changes in immune cell composition.” Communications Biology 7, 934 (2024). |
|
|
| https://doi.org/10.1038/s42003-024-06609-4 |
|
|
