Sync grimage2pai1
Browse files- README.md +38 -0
- config.json +35 -0
- grimage2pai1.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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- dna-methylation
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---
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# grimage2pai1
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PAI-1 is linked to inflammation and metabolic conditions; DNAm PAI-1 is a GrimAge component.
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|---|---|
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| **Predicts** | PAI-1 |
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| **Species** | Homo sapiens |
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| **Tissue** | whole blood |
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| **Data type** | DNA methylation |
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| **Model type** | elastic net regression |
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| **Year** | 2022 |
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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, ["grimage2pai1"])
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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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Lu, A. T., et al. “DNA methylation GrimAge version 2.” Aging 14(23): 9484–9549 (2022).
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https://doi.org/10.18632/aging.204434
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config.json
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{
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"approved_by_author": "\u231b",
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"citation": "Lu, A. T., et al. \u201cDNA methylation GrimAge version 2.\u201d Aging 14(23): 9484\u20139549 (2022).",
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"citations": 291,
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"citations_date": "2026-07-05",
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"clock_name": "grimage2pai1",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.18632/aging.204434",
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"journal": "Aging",
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"last_author": "Steve Horvath",
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"model_type": "elastic net regression",
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"n_features": 211,
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"notes": "PAI-1 is linked to inflammation and metabolic conditions; DNAm PAI-1 is a GrimAge component.",
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"platform": [
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"Illumina 450K"
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],
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"population": "older adults",
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"predicts": [
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"PAI-1"
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],
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"reference_values": true,
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"research_only": true,
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"species": "Homo sapiens",
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"tissue": [
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"whole blood"
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],
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"training_target": [
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"PAI-1"
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],
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"unit": [
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"picograms per milliliter"
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],
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"version": "v0.3.0",
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"year": 2022
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}
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grimage2pai1.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d539fe532f485b56bc9cff16f0bbe88b121cedb41bff76216d7771a6e99a4690
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size 12069
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