metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
encen40
Elastic-net DNAm-age clock trained in 7,039 people aged 40–115, including centenarians, to reduce extreme-old-age underestimation.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | chronological age |
| Species | Homo sapiens |
| Tissue | whole blood, saliva, buccal epithelium |
| Data type | DNA methylation |
| Model type | elastic net regression |
| Year | 2023 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["encen40"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Dec, Eric, et al. "Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity." GeroScience 45 (2023): 1817–1835.