stocz

Stochastic chronological-age clock built from simulated methylation trajectories at Zhang clock CpGs; it is a stochastic counterpart, not the original Zhang clock.

Predicts	chronological age
Species	Homo sapiens
Tissue	sorted monocytes
Data type	DNA methylation
Model type	elastic net regression
Year	2024

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Tong, Huige, et al. "Quantifying the stochastic component of epigenetic aging." Nature Aging 4 (2024): 886–901.

https://doi.org/10.1038/s43587-024-00600-8