|
Download README.md from pyaging/meer: direct link, hf CLI and curl.
- Browser
- Download file 944 Bytes
-
https://huggingface.co/pyaging/meer/resolve/main/README.md
- Command line
-
hf download hf://pyaging/meer/README.md
-
curl -L -o README.md https://huggingface.co/pyaging/meer/resolve/main/README.md
944 Bytes
metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
meer
Whole Lifespan Multi-Tissue (WLMT) mouse clock trained by elastic net on RRBS methylation percentages from untreated wild-type C57BL/6 samples.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | chronological age |
| Species | Mus musculus |
| Tissue | multi-tissue |
| Data type | DNA methylation |
| Model type | elastic net regression |
| Year | 2018 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["meer"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Meer, M. V., Podolskiy, D. I., Tyshkovskiy, A. & Gladyshev, V. N. A whole lifespan mouse multi-tissue DNA methylation clock. eLife 7, e40675 (2018).