metadata
license: mit
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
zhangblup
High-dimensional chronological-age predictor using best linear unbiased prediction across the full quality-controlled set of 319,607 methylation probes.
| Predicts | chronological age |
| Species | Homo sapiens |
| Tissue | whole blood, saliva |
| Data type | DNA methylation |
| Model type | best linear unbiased prediction |
| Year | 2019 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["zhangblup"])
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).