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