pcphenoage
Principal-component DNAm PhenoAge model trained directly on phenotypic-age scores rather than as a proxy of the original CpG clock.
| Predicts | phenotypic age |
| Species | Homo sapiens |
| Tissue | whole blood |
| Data type | DNA methylation |
| Model type | PCA + elastic net regression |
| Year | 2022 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["pcphenoage"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Higgins-Chen, Albert T., et al. "A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking." Nature Aging 2 (2022): 644–661.
- Downloads last month
- 15
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support