metadata
license: mit
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
abec
Adult Blood-based EPIC Clock trained by elastic-net regression of chronological age on whole-blood EPIC methylation in 1,592 MoBa-START adults aged 19–59 years.
| 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, ["abec"])
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.