Sync phenoage
Browse files- README.md +38 -0
- config.json +35 -0
- phenoage.pt +3 -0
README.md
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---
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license: bsd-3-clause
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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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# phenoage
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Clinical Phenotypic Age combines chronological age with nine blood biomarkers selected by penalized mortality regression and expresses mortality risk as an equivalent age in years.
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|---|---|
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| **Predicts** | phenotypic 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** | penalized hazards regression with Gompertz calibration |
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| **Year** | 2018 |
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## Use with pyaging
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```python
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import pyaging as pya
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pya.pred.predict_age(adata, ["phenoage"])
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```
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Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io).
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## Citation
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Levine, M. E., et al. "An epigenetic biomarker of aging for lifespan and healthspan." Aging 10.4 (2018): 573-591.
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https://doi.org/10.18632/aging.101414
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config.json
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{
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"approved_by_author": "\u231b",
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"citation": "Levine, M. E., et al. \"An epigenetic biomarker of aging for lifespan and healthspan.\" Aging 10.4 (2018): 573-591.",
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"citations": 3594,
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"citations_date": "2026-07-05",
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"clock_name": "phenoage",
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"data_type": "clinical biomarkers",
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"doi": "https://doi.org/10.18632/aging.101414",
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"journal": "Aging",
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"last_author": "Steve Horvath",
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"model_type": "penalized hazards regression with Gompertz calibration",
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"n_features": 10,
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"notes": "Clinical Phenotypic Age combines chronological age with nine blood biomarkers selected by penalized mortality regression and expresses mortality risk as an equivalent age in years.",
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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": "mortality_to_phenoage",
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"predicts": [
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"phenotypic age"
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],
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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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"mortality"
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],
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"unit": [
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"years"
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],
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"version": "v0.3.0",
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"year": 2018
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}
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phenoage.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:787f9839af788c0163bd48411e9e5158a890b46eeddd2eb500c1369f7148bde0
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size 4901
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