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

# knight

Elastic-net DNA-methylation estimator of gestational age at birth trained across six cord-blood and neonatal blood-spot cohorts, using 148 CpGs shared across the 27K and 450K arrays.

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

| | |
|---|---|
| **Predicts** | gestational age |
| **Species** | Homo sapiens |
| **Tissue** | cord blood, neonatal blood spots |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2016 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Knight, A. K., et al. "An epigenetic clock for gestational age at birth based on blood methylation data." Genome Biology 17 (2016): 206.

https://doi.org/10.1186/s13059-016-1068-z