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.

https://doi.org/10.1038/s43587-022-00248-2