---
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

```python
import pyaging as pya

pya.pred.predict_age(adata, ["camilloh3k27me3"])
```

Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).

## 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).

https://doi.org/10.1126/sciadv.adk9373