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

# neusin

Neu-Sin is a neuron semi-intrinsic chronological-age clock: elastic-net regression was restricted to neuron age-DMCTs but fitted to methylation values not adjusted for brain cell fractions. Coefficients were fitted in the 450K Jaffe cortex cohort; the regularization penalty was selected on the EPIC Pihlstrom cohort.

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

| | |
|---|---|
| **Predicts** | chronological age |
| **Species** | Homo sapiens |
| **Tissue** | brain cortex |
| **Data type** | DNA methylation |
| **Model type** | elastic net regression |
| **Year** | 2024 |

## Use with pyaging

```python
import pyaging as pya

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

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

## Citation

Tong, Huige, et al. "Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution." Aging 16 (2024): 13452–13504.

https://doi.org/10.18632/aging.206184