ocampoatac1

Published final ATAC-clock coefficient-table implementation using 228 open chromatin regions from the 80,400-region input peak set.

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

Predicts	chronological age
Species	Homo sapiens
Tissue	peripheral blood mononuclear cells
Data type	chromatin accessibility
Model type	elastic net regression
Year	2023

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["ocampoatac1"])

Browse every clock in the pyaging Clock Catalogue.

Citation

Morandini, F., Rechsteiner, C., Perez, K., et al. “ATAC-clock: An aging clock based on chromatin accessibility.” GeroScience 46(2), 1789–1806 (2024).

https://doi.org/10.1007/s11357-023-00986-0