config.json

{
 "approved_by_author": "\u231b",
 "citation": "Tong, Huige, et al. \"Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution.\" Aging 16 (2024): 13452\u201313504.",
 "citations": 32,
 "citations_date": "2026-10-02",
 "clock_name": "neusin",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.18632/aging.206184",
 "journal": "Aging",
 "last_author": "Andrew E. Teschendorff",
 "model_type": "elastic net regression",
 "n_features": 672,
 "notes": "Neu-Sin is a neuron semi-intrinsic chronological-age clock: elastic-net regression was restricted to neuron age-DMCTs but fitted to methylation values not adjusted for brain cell fractions. Coefficients were fitted in the 450K Jaffe cortex cohort; the regularization penalty was selected on the EPIC Pihlstrom cohort.",
 "platform": [
  "Illumina 450K",
  "Illumina EPIC"
 ],
 "population": "adults",
 "predicts": [
  "chronological age"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "brain cortex"
 ],
 "training_target": [
  "chronological age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.7",
 "year": 2024
}