| 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 | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["thompson"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## 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 | |