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.

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).

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

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