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metadata
license: other
license_name: original-author-license
license_link: https://huggingface.co/pyaging/pcbrainage/blob/main/pcbrainage.LICENSE.txt
library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

pcbrainage

Brain chronological-age clock trained in dorsolateral prefrontal cortex. The original PCA and regression are composed algebraically without retraining; missing CpGs use the authors’ GSE74193 adult brain means. No age-acceleration residualization is performed.

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

Predicts chronological age
Species Homo sapiens
Tissue brain cortex
Data type DNA methylation
Model type PCA + elastic net regression
Year 2022

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Thrush, K. L., Bennett, D. A., Gaiteri, C., Horvath, S., van Dyck, C. H., Higgins-Chen, A. T., and Levine, M. E. (2022). Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer’s disease. Aging 14(14), 5641–5668.

https://doi.org/10.18632/aging.204196