| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # epicga | |
| LASSO predictor of ultrasound-estimated gestational age in days from umbilical cord-blood DNA methylation, trained in 755 non-ART START newborns. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | gestational age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | cord blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | LASSO regression | | |
| | **Year** | 2021 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["epicga"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## 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). | |
| https://doi.org/10.1186/s13148-021-01055-z | |