stocp
Stochastic chronological-age clock built from simulated methylation trajectories at PhenoAge CpGs; despite its CpG source, its fitted outcome and returned construct are chronological age, not PhenoAge.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| 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, ["stocp"])
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.
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