config.json

{
 "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": 165,
 "citations_date": "2026-10-02",
 "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": "0.5.7",
 "year": 2020
}