| { |
| "approved_by_author": "\u231b", |
| "citation": "Teschendorff, Andrew E. \"A comparison of epigenetic mitotic-like clocks for cancer risk prediction.\" Genome Medicine 12 (2020): 56.", |
| "citations": 155, |
| "citations_date": "2026-07-05", |
| "clock_name": "epitoc3", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.1186/s13073-020-00752-3", |
| "journal": "Genome Medicine", |
| "last_author": "Andrew E. Teschendorff", |
| "model_type": "dynamic methylation transmission model", |
| "n_features": 170, |
| "notes": "Code-defined 170-CpG extension of the dynamic mitotic model. Official EpiMitClocks data show that all 170 sites are a subset of the 371 stemTOC vivo-mitCpGs derived from fetal/neonatal references, six normal proliferating cell lines, and three adult whole-blood cohorts. The assigned 2020 dynamic-model paper does not name or define epiTOC3.", |
| "platform": [ |
| "Illumina 450K", |
| "Illumina EPIC" |
| ], |
| "population": "all ages", |
| "predicts": [ |
| "mitotic age" |
| ], |
| "preprocess": "nan_to_zero", |
| "reference_values": true, |
| "research_only": null, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "cultured primary human cells", |
| "whole blood", |
| "multi-tissue", |
| "cord blood" |
| ], |
| "training_target": [ |
| "population doublings" |
| ], |
| "unit": [ |
| "cell divisions per stem cell" |
| ], |
| "version": "0.5.0", |
| "year": 2020 |
| } |
