Pan-tissue chronological-age predictor trained on gene-level H3K9me3 ChIP-seq enrichment; ElasticNet feature selection is followed by truncated-SVD PCA and automatic relevance determination regression.
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
1import pyaging as pya
23pya.pred.predict_age(adata,["camilloh3k9me3"])
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).
