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metadata
license: mit
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

eabec

Extended Adult Blood-based EPIC Clock trained by elastic-net regression on combined MoBa-START and GEO adult whole-blood EPIC methylation data.

Predicts chronological age
Species Homo sapiens
Tissue whole blood
Data type DNA methylation
Model type elastic net regression
Year 2020

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Lee, Yunsung, et al. "Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array." BMC genomics 21 (2020): 1-13.

https://doi.org/10.1186/s12864-020-07168-8