yingdamage / README.md
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metadata
license: mit
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

yingdamage

Causality-enriched age predictor restricted to damaging age-related CpGs, with feature penalties weighted by EWMR causality scores.

Predicts damaging epigenetic 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, ["yingdamage"])

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