pchorvath2013

Principal-component proxy of the 2013 Horvath pan-tissue clock, trained against the original clock score using substituted multi-tissue datasets.

Predicts	chronological age
Species	Homo sapiens
Tissue	multi-tissue
Data type	DNA methylation
Model type	PCA + elastic net regression
Year	2022

Use with pyaging

import pyaging as pya

pya.pred.predict_age(adata, ["pchorvath2013"])

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