| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # xchrom | |
| X-chromosome first-principal-component score used with the Y score to infer X dosage and classify 46,XX, 46,XY, 45,X, and 47,XXY samples. Feature screening and PCA used 450K whole-blood data from 18-year-olds; EPIC data were used for validation. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | X-chromosome dosage | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | principal component analysis | | |
| | **Year** | 2021 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["xchrom"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Wang, Y. et al. DNA methylation-based sex classifier to predict sex and identify sex chromosome aneuploidy. BMC Genomics 22, 484 (2021). | |
| https://doi.org/10.1186/s12864-021-07675-2 | |