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

# leecontrol

Control placental clock trained on placentas designated as controls, with known major placental pathology excluded.

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

| | |
|---|---|
| **Predicts** | gestational age |
| **Species** | Homo sapiens |
| **Tissue** | placenta |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2019 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Lee, Y., et al. “Placental epigenetic clocks: estimating gestational age using placental DNA methylation levels.” Aging 11(12): 4238–4253 (2019).

https://doi.org/10.18632/aging.102049