metadata
library_name: pyaging
tags:
- pyaging
- aging-clock
- biology
- dna-methylation
altumage
Pan-tissue chronological-age predictor using a five-hidden-layer neural network and 20,318 CpGs shared across the 27K, 450K and EPIC manifests; the actual training data came from 27K and 450K datasets.
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 | deep neural network |
| Year | 2022 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["altumage"])
Browse every clock in the pyaging Clock Catalogue.
Citation
de Lima Camillo, L.P., Lapierre, L.R. & Singh, R. A pan-tissue DNA-methylation epigenetic clock based on deep learning. npj Aging 8, 4 (2022).