pipekretrainedh / README.md
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metadata
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

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.

Model weights retain the original authors' terms; the pyaging software license does not relicense them.

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