config.json

{
 "approved_by_author": "\u231b",
 "citation": "Tomusiak, A., et al. \u201cDevelopment of an epigenetic clock resistant to changes in immune cell composition.\u201d Communications Biology 7, 934 (2024).",
 "citations": 53,
 "citations_date": "2026-07-05",
 "clock_name": "intrinclock",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.1038/s42003-024-06609-4",
 "journal": "Communications Biology",
 "last_author": "Eric Verdin",
 "model_type": "two-stage elastic net regression",
 "n_features": 380,
 "notes": "Multi-tissue chronological-age clock designed by excluding CpGs associated with CD8+ T-cell differentiation, then fitting two sequential elastic-net models so predictions remain stable across immune-cell composition. The article reports 381 CpGs; the official lambda.min model and this implementation both use the same 380 non-zero CpG inputs.",
 "platform": [
  "Illumina 450K",
  "Illumina EPIC"
 ],
 "population": "all ages",
 "postprocess": "anti_log_linear",
 "predicts": [
  "chronological age"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "multi-tissue"
 ],
 "training_target": [
  "chronological age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.0",
 "year": 2024
}