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Download README.md from pyaging/stemtoc: direct link, hf CLI and curl.
- Browser
- Download file 934 Bytes
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https://huggingface.co/pyaging/stemtoc/resolve/main/README.md
- Command line
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hf download hf://pyaging/stemtoc/README.md
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curl -L -o README.md https://huggingface.co/pyaging/stemtoc/resolve/main/README.md
934 Bytes
metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
stemtoc
Relative mitotic-age counter based on the 95th percentile across 371 in-vivo-filtered mitotic CpGs.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | mitotic age |
| Species | Homo sapiens |
| Tissue | multi-tissue, cultured human cells, whole blood |
| Data type | DNA methylation |
| Model type | 95th-percentile methylation aggregation |
| Year | 2024 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["stemtoc"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Zhu, Tianlei, et al. "An improved epigenetic counter to track mitotic age in cells." Nature Communications 15 (2024): 4211.