|
Download README.md from pyaging/stocz: direct link, hf CLI and curl.
- Browser
- Download file 942 Bytes
-
https://huggingface.co/pyaging/stocz/resolve/main/README.md
- Command line
-
hf download hf://pyaging/stocz/README.md
-
curl -L -o README.md https://huggingface.co/pyaging/stocz/resolve/main/README.md
942 Bytes
metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
stocz
Stochastic chronological-age clock built from simulated methylation trajectories at Zhang clock CpGs; it is a stochastic counterpart, not the original Zhang clock.
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, ["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.