library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
pcgrimagegdf15
Standalone principal-component proxy trained to reproduce the original DNAm GDF15 score. Coefficients are composed exactly from the author PCA rotation and proxy regression. CpGs use the author GSE40279 reference. Sex (female=1, male=0) and chronological age must be supplied when selected by the original component regression; missing demographic inputs are rejected. Selected demographic inputs: age.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | GDF-15 |
| 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, ["pcgrimagegdf15"])
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.