camilloh3k4me1

Pan-tissue chronological-age predictor trained on gene-level H3K4me1 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

import pyaging as pya

pya.pred.predict_age(adata, ["camilloh3k4me1"])

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).

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

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