epicga / config.json
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Refresh citation counts and audited metadata (2026-10-02)
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{
"approved_by_author": "\u231b",
"citation": "Haftorn, K. L. et al. An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies. Clinical Epigenetics 13, 82 (2021).",
"citations": 55,
"citations_date": "2026-10-02",
"clock_name": "epicga",
"data_type": "DNA methylation",
"doi": "https://doi.org/10.1186/s13148-021-01055-z",
"journal": "Clinical Epigenetics",
"last_author": "Jon Bohlin",
"model_type": "LASSO regression",
"n_features": 176,
"notes": "LASSO predictor of ultrasound-estimated gestational age in days from umbilical cord-blood DNA methylation, trained in 755 non-ART START newborns.",
"platform": [
"Illumina EPIC"
],
"population": "newborns",
"postprocess": "days_to_weeks",
"predicts": [
"gestational age"
],
"research_only": null,
"species": "Homo sapiens",
"tissue": [
"cord blood"
],
"training_target": [
"gestational age"
],
"unit": [
"days"
],
"version": "0.5.7",
"year": 2021
}