| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # knight | |
| Elastic-net DNA-methylation estimator of gestational age at birth trained across six cord-blood and neonatal blood-spot cohorts, using 148 CpGs shared across the 27K and 450K arrays. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | gestational age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | cord blood, neonatal blood spots | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | elastic net regression | | |
| | **Year** | 2016 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["knight"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Knight, A. K., et al. "An epigenetic clock for gestational age at birth based on blood methylation data." Genome Biology 17 (2016): 206. | |
| https://doi.org/10.1186/s13059-016-1068-z | |