{
 "approved_by_author": "\u231b",
 "citation": "Goeminne, L. J. E., et al. \"Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems.\" Cell Metabolism 37, 205\u2013222.e6 (2025).",
 "citations": 128,
 "citations_date": "2026-10-02",
 "clock_name": "organagechronologicalolink3000pituitary",
 "data_type": "proteomics",
 "doi": "https://doi.org/10.1016/j.cmet.2024.10.005",
 "journal": "Cell Metabolism",
 "last_author": "Vadim N. Gladyshev",
 "model_type": "elastic net regression",
 "n_features": 12,
 "notes": "Pituitary OrganAge chronological model for Olink Explore 3072, using author-recommended fold 1. Input columns are the original case-sensitive protein symbols and values are Olink NPX, already normalized. No additional centering or cohort scaling is applied. Absent proteins contribute zero; NaNs in supplied proteins propagate, matching the original Example_Script.R scoring expressions. For other assays, prepare and rescale protein values according to the author guidance before prediction. Output is predicted age in years. Models labelled Female and Male contain protein features; neither requires a sex covariate. Academic/non-commercial research use only; commercial use requires a separate license from the authors.",
 "platform": [
  "Olink Explore 3072"
 ],
 "population": "adults",
 "predicts": [
  "biological age"
 ],
 "reference_values": true,
 "research_only": true,
 "species": "Homo sapiens",
 "tissue": [
  "blood"
 ],
 "training_target": [
  "chronological age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.4",
 "year": 2025
}