zhangen

Elastic-net chronological-age predictor released from the largest multi-cohort training set, using 514 selected CpGs from predominantly blood plus saliva data.

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
Data type	DNA methylation
Model type	elastic net regression
Year	2019

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["zhangen"])

Browse every clock in the pyaging Clock Catalogue.

Citation

Zhang, Q., Vallerga, C.L., Walker, R.M. et al. Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Medicine 11, 54 (2019).

https://doi.org/10.1186/s13073-019-0667-1