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Whole-blood elastic-net pace-of-aging biomarker trained at age 45 against a 20-year longitudinal slope composite of 19 organ-system biomarkers. PyAging follows the official 20,000-probe quantile-normalization panel: 173 scoring CpGs plus 19,827 background probes.
Predicts
pace of aging
Species
Homo sapiens
Tissue
whole blood
Data type
DNA methylation
Model type
elastic net regression
Year
2022
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["dunedinpace"])
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