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

# pipekelasticnet

Pan-tissue, cross-platform elastic-net chronological-age clock trained on all eligible CpGs; 239 CpGs retained non-zero coefficients.

| | |
|---|---|
| **Predicts** | chronological age |
| **Species** | Homo sapiens |
| **Tissue** | multi-tissue |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2022 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Pipek, Orsolya Anna, and István Csabai. "A revised multi-tissue, multi-platform epigenetic clock model for methylation array data." Journal of Mathematical Chemistry 61 (2023): 376–388.

https://doi.org/10.1007/s10910-022-01381-4