|
Download README.md from pyaging/camilloh3k27me3: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
-
https://huggingface.co/pyaging/camilloh3k27me3/resolve/16a52738718ec2b7b8fce88e36bbe37cc6f38d8e/README.md
- Command line
-
hf download hf://pyaging/camilloh3k27me3@16a52738718ec2b7b8fce88e36bbe37cc6f38d8e/README.md
-
curl -L -o README.md https://huggingface.co/pyaging/camilloh3k27me3/resolve/16a52738718ec2b7b8fce88e36bbe37cc6f38d8e/README.md
1.07 kB
metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- histone-modification
camilloh3k27me3
Pan-tissue chronological-age predictor trained on gene-level H3K27me3 ChIP-seq enrichment; ElasticNet feature selection is followed by truncated-SVD PCA and automatic relevance determination regression.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | chronological age |
| Species | Homo sapiens |
| Tissue | multi-tissue |
| Data type | histone modification |
| Model type | PCA + elastic net + ARD regression |
| Year | 2025 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["camilloh3k27me3"])
Browse every clock in the pyaging Clock Catalogue.
Citation
de Lima Camillo, L. P., Asif, M. H., Horvath, S., Larschan, E., & Singh, R. Histone mark age of human tissues and cell types. Science Advances 11, eadk9373 (2025).