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metadata
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

encen100

Elastic-net DNAm-age clock trained only in 184 centenarians aged 100–115; the authors advise against routine use but identify possible utility for evaluating supercentenarians.

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, ["encen100"])

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.

https://doi.org/10.1007/s11357-023-00731-7