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metadata
license: mit
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

stoch

Stochastic chronological-age clock built from simulated methylation trajectories at the Horvath clock CpGs; it is a stochastic counterpart, not the original Horvath 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, ["stoch"])

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