Sync yingadaptage
Browse files- README.md +38 -0
- config.json +34 -0
- yingadaptage.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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# yingadaptage
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Causality-enriched age predictor restricted to adaptive/protective age-related CpGs, with feature penalties weighted by EWMR causality scores.
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|---|---|
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| **Predicts** | adaptive epigenetic age |
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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** | causality-weighted elastic net regression |
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| **Year** | 2024 |
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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, ["yingadaptage"])
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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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Ying, K., Liu, H., Tarkhov, A.E. et al. Causality-enriched epigenetic age uncouples damage and adaptation. Nature Aging 4, 231–246 (2024).
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https://doi.org/10.1038/s43587-023-00557-0
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config.json
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{
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"approved_by_author": "\u231b",
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"citation": "Ying, K., Liu, H., Tarkhov, A.E. et al. Causality-enriched epigenetic age uncouples damage and adaptation. Nature Aging 4, 231\u2013246 (2024).",
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"citations": 183,
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"citations_date": "2026-07-05",
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"clock_name": "yingadaptage",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.1038/s43587-023-00557-0",
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"journal": "Nature Aging",
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"last_author": "Vadim N. Gladyshev",
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"model_type": "causality-weighted elastic net regression",
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"n_features": 999,
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"notes": "Causality-enriched age predictor restricted to adaptive/protective age-related CpGs, with feature penalties weighted by EWMR causality scores.",
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"platform": [
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"Illumina 450K"
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],
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"population": "adults",
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"predicts": [
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"adaptive epigenetic 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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"whole 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": "v0.3.0",
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"year": 2024
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}
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yingadaptage.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f95ef7d752a39e912a1e09450fda86550aa4b6aa0b6484f5ccab5aebf04c411d
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size 32293
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