pipekretrainedh

Unpenalized refit of all 308 original Horvath CpGs shared across 27K, 450K, and EPIC data; unlike the other variants it was fit without cross-validation.

Predicts	chronological age
Species	Homo sapiens
Tissue	multi-tissue
Data type	DNA methylation
Model type	linear regression
Year	2022

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Pipek, Orsolya Anna, and István Csabai. "A revised multi-tissue, multi-platform epigenetic clock model for methylation array data." Journal of Mathematical Chemistry 61 (2023): 376–388.

https://doi.org/10.1007/s10910-022-01381-4