| { |
| "approved_by_author": "\u2705", |
| "citation": "de Lima Camillo, L. P., Sehgal, R., Armstrong, J., Higgins-Chen, A. T., Horvath, S., & Wang, B. CpGPT: a foundation model for DNA methylation. bioRxiv 2024.10.24.619766 (2024).", |
| "citations": 30, |
| "citations_date": "2026-07-05", |
| "clock_name": "cpgptpcgrimage3", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.1101/2024.10.24.619766", |
| "journal": "bioRxiv", |
| "last_author": "Bo Wang", |
| "model_type": "PCA + Cox regression", |
| "n_features": 31, |
| "notes": "Principal-component CpGPTGrimAge3 implementation combining chronological age, GrimAge2 DNAm proxies, and CpGPT-predicted plasma-protein proxies; 30 proxy inputs are projected to 29 PCs, entered with age into a Cox linear predictor, and calibrated to years.", |
| "platform": [ |
| "Illumina 450K" |
| ], |
| "population": "adults", |
| "postprocess": "cox_to_years", |
| "predicts": [ |
| "biological age", |
| "mortality risk" |
| ], |
| "preprocess": "scale", |
| "research_only": true, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "whole blood" |
| ], |
| "training_target": [ |
| "mortality" |
| ], |
| "unit": [ |
| "years" |
| ], |
| "version": "0.5.0", |
| "year": 2024 |
| } |
