| { |
| "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": "organagemortalityolink1500intestine", |
| "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 Cox regression", |
| "n_features": 17, |
| "notes": "Intestine OrganAge mortality model for Olink Explore 1536, 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 relative natural-log mortality hazard, not 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 1536" |
| ], |
| "population": "adults", |
| "predicts": [ |
| "mortality risk" |
| ], |
| "reference_values": true, |
| "research_only": true, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "blood" |
| ], |
| "training_target": [ |
| "mortality" |
| ], |
| "unit": [ |
| "log hazard" |
| ], |
| "version": "0.5.4", |
| "year": 2025 |
| } |
