Sync han
Browse files- README.md +38 -0
- config.json +35 -0
- han.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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# han
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Whole-blood 65-CpG multivariable linear age predictor selected for robust targeted measurement; it fits Horvath-transformed chronological age and inverse-transforms the return to years.
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|---|---|
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| **Predicts** | chronological 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** | linear regression |
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| **Year** | 2020 |
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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, ["han"])
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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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Han, Y., et al. “New targeted approaches for epigenetic age predictions.” BMC Biology 18, 71 (2020).
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https://doi.org/10.1186/s12915-020-00807-2
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config.json
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{
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"approved_by_author": "\u2705",
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"citation": "Han, Y., et al. \u201cNew targeted approaches for epigenetic age predictions.\u201d BMC Biology 18, 71 (2020).",
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"citations": 102,
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"citations_date": "2026-07-05",
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"clock_name": "han",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.1186/s12915-020-00807-2",
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"journal": "BMC Biology",
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"last_author": "Wolfgang Wagner",
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"model_type": "linear regression",
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"n_features": 65,
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"notes": "Whole-blood 65-CpG multivariable linear age predictor selected for robust targeted measurement; it fits Horvath-transformed chronological age and inverse-transforms the return to years.",
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"platform": [
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"Illumina 450K"
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],
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"population": "all ages",
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"postprocess": "anti_log_linear",
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"predicts": [
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"chronological 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": 2020
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}
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han.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:af8fc745bf987220b548ff24c5f2a44b575dc2801ac06ac7b80497f31e02dfc4
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size 6181
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