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
python
1import pyaging as pya
23pya.pred.predict_age(adata,["zhangblup"])
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).
