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library_name: pyaging
tags:
  - pyaging
  - aging-clock
  - biology
  - dna-methylation

thompson

Full-lifespan multi-tissue mouse DNA-methylation clock fit by elastic net to RRBS CpG methylation across 1,147 samples from ten tissues and multiple strains; the 582-site all-CpG model estimates chronological age and detects intervention- and genotype-associated age acceleration.

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

Predicts chronological age
Species Mus musculus
Tissue adipose tissue, blood, cerebellum, brain cortex, heart, kidney, liver, lung, skeletal muscle, spleen
Data type DNA methylation
Model type elastic net regression
Year 2018

Use with pyaging

import pyaging as pya

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

Browse every clock in the pyaging Clock Catalogue.

Citation

Thompson, M. J., Chwiałkowska, K., Rubbi, L. et al. A multi-tissue full lifespan epigenetic clock for mice. Aging (Albany NY) 10, 2832–2854 (2018).

https://doi.org/10.18632/aging.101590