File size: 1,321 Bytes
cf775db 38365a6 cf775db f41f7de cf775db 0754afd cf775db | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | ---
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
---
# cpgptgrimage3
CpGPTGrimAge3 implementation combining chronological age, GrimAge2 DNAm proxies, and CpGPT-predicted plasma-protein proxies in a Cox linear predictor that is calibrated to years. Supply derived methylation protein/lifestyle proxies and age, not a raw CpG matrix or measured proteomics. CpGPT protein proxies come from the proteins checkpoint on its trained standardized scale; required proxies must be present.
Model weights retain the original authors' terms; the pyaging software license does not relicense them. These weights are restricted to research use under the authors' terms.
| | |
|---|---|
| **Predicts** | biological age, mortality risk |
| **Species** | Homo sapiens |
| **Tissue** | whole blood |
| **Data type** | DNA methylation |
| **Model type** | Cox proportional hazards regression |
| **Year** | 2024 |
## Use with pyaging
```python
import pyaging as pya
pya.pred.predict_age(adata, ["cpgptgrimage3"])
```
Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).
## Citation
de Lima Camillo, L. P., Sehgal, R., Armstrong, J., et al. CpGPT: a foundation model for DNA methylation. bioRxiv 2024.10.24.619766 (2024).
https://doi.org/10.1101/2024.10.24.619766
|