yingcausage

Causality-enriched chronological-age clock using EWMR-prioritized CpGs and feature-specific penalties derived from causality scores.

Predicts	chronological age
Species	Homo sapiens
Tissue	whole blood
Data type	DNA methylation
Model type	causality-weighted elastic net regression
Year	2024

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Ying, K., Liu, H., Tarkhov, A.E. et al. Causality-enriched epigenetic age uncouples damage and adaptation. Nature Aging 4, 231–246 (2024).

https://doi.org/10.1038/s43587-023-00557-0