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Sync kdmage

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  1. README.md +38 -0
  2. config.json +37 -0
  3. kdmage.pt +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ library_name: pyaging
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+ tags:
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+ - pyaging
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+ - aging-clock
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+ - biology
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+ - clinical-biomarkers
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+ ---
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+
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+ # kdmage
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+
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+ 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.
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+
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+ | | |
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+ |---|---|
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+ | **Predicts** | biological age |
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+ | **Species** | Homo sapiens |
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+ | **Tissue** | blood |
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+ | **Data type** | clinical biomarkers |
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+ | **Model type** | Klemera–Doubal composite |
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+ | **Year** | 2021 |
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+
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+ ## Use with pyaging
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+
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+ ```python
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+ import pyaging as pya
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+
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+ pya.pred.predict_age(adata, ["kdmage"])
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+ ```
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+
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+ Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).
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+
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+ ## Citation
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+
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+ 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.
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+
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+ https://doi.org/10.1007/s11357-021-00480-5
config.json ADDED
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+ {
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+ "approved_by_author": "\u231b",
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+ "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.",
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+ "citations": 332,
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+ "citations_date": "2026-08-20",
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+ "clock_name": "kdmage",
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+ "data_type": "clinical biomarkers",
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+ "doi": "https://doi.org/10.1007/s11357-021-00480-5",
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+ "journal": "GeroScience",
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+ "last_author": "Daniel W. Belsky",
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+ "model_type": "Klemera\u2013Doubal composite",
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+ "n_features": 11,
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+ "notes": "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.",
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+ "platform": [
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+ "clinical laboratory assays"
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+ ],
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+ "population": "adults",
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+ "postprocess": "klemera_doubal",
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+ "predicts": [
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+ "biological age"
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+ ],
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+ "preprocess": "log1p_crp",
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+ "reference_values": true,
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+ "research_only": null,
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+ "species": "Homo sapiens",
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+ "tissue": [
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+ "blood"
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+ ],
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+ "training_target": [
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+ "chronological age"
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+ ],
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+ "unit": [
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+ "years"
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+ ],
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+ "version": "0.5.0",
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+ "year": 2021
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+ }
kdmage.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:cd31f7a291e01afcef1d1cc8c29dd3b8c432bed921a2199cf3b5a5dbd6e11acd
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+ size 7117