config.json

{
 "approved_by_author": "\u2705",
 "citation": "Tong, Huige, et al. \"Quantifying the stochastic component of epigenetic aging.\" Nature Aging 4 (2024): 886\u2013901.",
 "citations": 76,
 "citations_date": "2026-10-02",
 "clock_name": "stocp",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.1038/s43587-024-00600-8",
 "journal": "Nature Aging",
 "last_author": "Andrew E. Teschendorff",
 "model_type": "elastic net regression",
 "n_features": 513,
 "notes": "Stochastic chronological-age clock built from simulated methylation trajectories at PhenoAge CpGs; despite its CpG source, its fitted outcome and returned construct are chronological age, not PhenoAge.",
 "platform": [
  "Illumina 450K"
 ],
 "population": "adults",
 "predicts": [
  "chronological age"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "sorted monocytes"
 ],
 "training_target": [
  "chronological age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.7",
 "year": 2024
}