| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - dna-methylation |
| --- |
| |
| # cpgptpcgrimage3 |
|
|
| Principal-component CpGPTGrimAge3 implementation combining chronological age, GrimAge2 DNAm proxies, and CpGPT-predicted plasma-protein proxies; 30 proxy inputs are projected to 29 PCs, entered with age into a Cox linear predictor, and calibrated to years. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | biological age, mortality risk | |
| | **Species** | Homo sapiens | |
| | **Tissue** | whole blood | |
| | **Data type** | DNA methylation | |
| | **Model type** | PCA + Cox regression | |
| | **Year** | 2024 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["cpgptpcgrimage3"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| de Lima Camillo, L. P., Sehgal, R., Armstrong, J., Higgins-Chen, A. T., Horvath, S., & Wang, B. CpGPT: a foundation model for DNA methylation. bioRxiv 2024.10.24.619766 (2024). |
|
|
| https://doi.org/10.1101/2024.10.24.619766 |
|
|
