| --- |
| license: mit |
| library_name: pyaging |
| tags: |
| - pyaging |
| - aging-clock |
| - biology |
| - clinical-biomarkers |
| --- |
| |
| # kdmage |
|
|
| Klemera-Doubal biological age, trained sex-specifically on NHANES III adults aged 30-75 who were not pregnant, using the BioAge package defaults. Biomarker parameters were fit on SI-unit variants so they are natively in pyaging's unit convention, and C-reactive protein is supplied raw in mg/dL and log1p-transformed inside the clock. Sex is coded female = 1 and male = 0; a dataset with no female column scores every sample with the male parameters. |
|
|
| | | | |
| |---|---| |
| | **Predicts** | biological age | |
| | **Species** | Homo sapiens | |
| | **Tissue** | blood | |
| | **Data type** | clinical biomarkers | |
| | **Model type** | Klemera–Doubal composite | |
| | **Year** | 2021 | |
|
|
| ## Use with pyaging |
|
|
| ```python |
| import pyaging as pya |
| |
| pya.pred.predict_age(adata, ["kdmage"]) |
| ``` |
|
|
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). |
|
|
| ## Citation |
|
|
| Kwon, Dayoon, and Daniel W. Belsky. "A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge." GeroScience 43.6 (2021): 2795-2808. |
|
|
| https://doi.org/10.1007/s11357-021-00480-5 |
|
|
