{
 "approved_by_author": "\u2705",
 "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).",
 "citations": 161,
 "citations_date": "2026-10-02",
 "clock_name": "altumage",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.1038/s41514-022-00085-y",
 "journal": "npj Aging",
 "last_author": "Ritambhara Singh",
 "model_type": "deep neural network",
 "n_features": 20318,
 "notes": "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.",
 "platform": [
  "Illumina 27K",
  "Illumina 450K"
 ],
 "population": "all ages",
 "predicts": [
  "chronological age"
 ],
 "preprocess": "scale",
 "reference_values": true,
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "multi-tissue"
 ],
 "training_target": [
  "chronological age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.7",
 "year": 2022
}