{
 "approved_by_author": "\u231b",
 "citation": "Bahado-Singh, R. O., Vishweswaraiah, S., Aydas, B., et al. (2021). Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease. PLOS ONE, 16(4), e0248375.",
 "citations": 34,
 "citations_date": "2026-10-02",
 "clock_name": "adbahadosingh",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.1371/journal.pone.0248375",
 "journal": "PLOS ONE",
 "last_author": "Uppala Radhakrishna",
 "model_type": "logistic regression",
 "n_features": 4,
 "notes": "PyAging implements the paper\u2019s conventional four-CpG logistic-regression equation and applies a sigmoid to return LOAD case probability; it does not implement the separate high-dimensional deep-learning classifiers also evaluated in the paper.",
 "platform": [
  "Illumina EPIC"
 ],
 "population": "older adults",
 "postprocess": "sigmoid",
 "predicts": [
  "late-onset Alzheimer's disease"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "whole blood"
 ],
 "training_target": [
  "late-onset Alzheimer's disease"
 ],
 "unit": [
  "probability"
 ],
 "version": "0.5.7",
 "year": 2021
}