pyaging/altumage

1{2 "approved_by_author": "\u2705",3 "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).",4 "citations": 145,5 "citations_date": "2026-07-05",6 "clock_name": "altumage",7 "data_type": "DNA methylation",8 "doi": "https://doi.org/10.1038/s41514-022-00085-y",9 "journal": "npj Aging",10 "last_author": "Ritambhara Singh",11 "model_type": "deep neural network",12 "n_features": 20318,13 "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.",14 "platform": [15  "Illumina 27K",16  "Illumina 450K"17 ],18 "population": "all ages",19 "predicts": [20  "chronological age"21 ],22 "preprocess": "scale",23 "reference_values": true,24 "research_only": null,25 "species": "Homo sapiens",26 "tissue": [27  "multi-tissue"28 ],29 "training_target": [30  "chronological age"31 ],32 "unit": [33  "years"34 ],35 "version": "0.5.0",36 "year": 202237}