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pyaging/altumage

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Model Card

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.

Predictschronological age
SpeciesHomo sapiens
Tissuemulti-tissue
Data typeDNA methylation
Model typedeep neural network
Year2022

Use with pyaging

python
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).

https://doi.org/10.1038/s41514-022-00085-y