metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
intrinclock370
Author-demo IntrinClock at lambda.1se: 370 nonzero CpGs from the original serialized cv.glmnet fit. Predicts chronological age resistant to immune-cell-composition changes. This is a separately fitted regularization column, not the existing 380-CpG lambda.min model with ten sites removed. Returns years using the author's inverse Horvath transform.
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | chronological age |
| Species | Homo sapiens |
| Tissue | multi-tissue |
| Data type | DNA methylation |
| Model type | two-stage elastic net regression |
| Year | 2024 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["intrinclock370"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Tomusiak, A., et al. “Development of an epigenetic clock resistant to changes in immune cell composition.” Communications Biology 7, 934 (2024).