| 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 | |