ocampoatac1

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

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. et al. ATAC-clock: An aging clock based on chromatin accessibility. GeroScience 46, 635-650 (2024).

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

Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support