| { |
| "approved_by_author": "\u231b", |
| "citation": "Bohlin, J., H\u00e5berg, S. E., Magnus, P. et al. Prediction of gestational age based on genome-wide differentially methylated regions. Genome Biology 17, 207 (2016).", |
| "citations": 237, |
| "citations_date": "2026-07-05", |
| "clock_name": "bohlin", |
| "data_type": "DNA methylation", |
| "doi": "https://doi.org/10.1186/s13059-016-1063-4", |
| "journal": "Genome Biology", |
| "last_author": "Wenche Nystad", |
| "model_type": "LASSO regression", |
| "n_features": 251, |
| "notes": "Official minimum-lambda variant of the Bohlin gestational-age LASSO: pyaging implements the 251-CpG lambda.min model and converts its day-scale output to weeks. The paper/package default one-standard-error variant uses 96 CpGs and has nearly identical predictive performance.", |
| "platform": [ |
| "Illumina 450K" |
| ], |
| "population": "newborns", |
| "postprocess": "days_to_weeks", |
| "predicts": [ |
| "gestational age" |
| ], |
| "research_only": null, |
| "species": "Homo sapiens", |
| "tissue": [ |
| "cord blood" |
| ], |
| "training_target": [ |
| "gestational age" |
| ], |
| "unit": [ |
| "weeks" |
| ], |
| "version": "0.5.0", |
| "year": 2016 |
| } |
