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

# pipekretrainedh

Unpenalized refit of all 308 original Horvath CpGs shared across 27K, 450K, and EPIC data; unlike the other variants it was fit without cross-validation.

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

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

## Use with pyaging

```python
import pyaging as pya

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

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