metadata
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
import pyaging as pya
pya.pred.predict_age(adata, ["intrinclock"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Tomusiak, A., et al. “Development of an epigenetic clock resistant to changes in immune cell composition.” Communications Biology 7, 934 (2024).