config.json

{
 "approved_by_author": "\u2705",
 "citation": "Salignon, J. et al. Pasta, a versatile transcriptomic clock, maps the chemical and genetic determinants of aging and rejuvenation. bioRxiv 2025.06.04.657785 (2025).",
 "citations": 1,
 "citations_date": "2026-07-05",
 "clock_name": "reg",
 "data_type": "transcriptomics",
 "doi": "https://doi.org/10.1101/2025.06.04.657785",
 "journal": "bioRxiv",
 "last_author": "Christian G. Riedel",
 "model_type": "ridge regression",
 "n_features": 8113,
 "notes": "Baseline chronological-age regression model from the Pasta study, using rank-transformed multi-tissue human expression.",
 "platform": [
  "RNA-seq",
  "gene expression microarray"
 ],
 "population": "human, age unspecified",
 "postprocess": "add_constant",
 "predicts": [
  "chronological age"
 ],
 "preprocess": "median_fill_and_rank_normalization",
 "reference_values": true,
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "multi-tissue"
 ],
 "training_target": [
  "chronological age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.0",
 "year": 2025
}