encen40
Elastic-net DNAm-age clock trained in 7,039 people aged 40–115, including centenarians, to reduce extreme-old-age underestimation.
| 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.
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