| { |
| "approved_by_author": "\u231b", |
| "citation": "Zhang, Q., Vallerga, C.L., Walker, R.M. et al. Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Medicine 11, 54 (2019).", |
| "citations": 550, |
| "citations_date": "2026-10-02", |
| "clock_name": "zhangen", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.1186/s13073-019-0667-1", |
| "journal": "Genome Medicine", |
| "last_author": "Peter M. Visscher", |
| "model_type": "elastic net regression", |
| "n_features": 514, |
| "notes": "Elastic-net chronological-age predictor released from the largest multi-cohort training set, using 514 selected CpGs from predominantly blood plus saliva data.", |
| "platform": [ |
| "Illumina 450K", |
| "Illumina EPIC" |
| ], |
| "population": "all ages", |
| "predicts": [ |
| "chronological age" |
| ], |
| "preprocess": "scale_row", |
| "reference_values": true, |
| "research_only": null, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "whole blood", |
| "saliva" |
| ], |
| "training_target": [ |
| "chronological age" |
| ], |
| "unit": [ |
| "years" |
| ], |
| "version": "0.5.7", |
| "year": 2019 |
| } |
