intrinclock370 / config.json
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{
"approved_by_author": "\u231b",
"citation": "Tomusiak, A., et al. \u201cDevelopment of an epigenetic clock resistant to changes in immune cell composition.\u201d Communications Biology 7, 934 (2024).",
"citations": 64,
"citations_date": "2026-10-02",
"clock_name": "intrinclock370",
"data_type": "DNA methylation",
"doi": "https://doi.org/10.1038/s42003-024-06609-4",
"journal": "Communications Biology",
"last_author": "Eric Verdin",
"model_type": "two-stage elastic net regression",
"n_features": 370,
"notes": "Author-demo IntrinClock at lambda.1se: 370 nonzero CpGs from the original serialized cv.glmnet fit. Predicts chronological age resistant to immune-cell-composition changes. This is a separately fitted regularization column, not the existing 380-CpG lambda.min model with ten sites removed. Returns years using the author's inverse Horvath transform.",
"platform": [
"Illumina 450K",
"Illumina EPIC"
],
"population": "all ages",
"postprocess": "anti_log_linear",
"predicts": [
"chronological age"
],
"research_only": null,
"species": "Homo sapiens",
"tissue": [
"multi-tissue"
],
"training_target": [
"chronological age"
],
"unit": [
"years"
],
"version": "0.5.4",
"year": 2024
}