---
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

```python
import pyaging as pya

pya.pred.predict_age(adata, ["meer"])
```

Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).

## 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).

https://doi.org/10.7554/elife.40675