metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
pcdnamtl
Principal-component proxy trained to reproduce the original DNAmTL clock output; the returned score remains in kilobases. Figure-level base-pair deviations are a separate analysis-scale conversion.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | leukocyte telomere length |
| Species | Homo sapiens |
| Tissue | whole blood |
| Data type | DNA methylation |
| Model type | PCA + elastic net regression |
| Year | 2022 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["pcdnamtl"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Higgins-Chen, Albert T., et al. "A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking." Nature Aging 2 (2022): 644–661.