Sync intrinclock
Browse files- README.md +38 -0
- config.json +36 -0
- intrinclock.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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# intrinclock
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Multi-tissue chronological-age clock designed by excluding CpGs associated with CD8+ T-cell differentiation, then fitting two sequential elastic-net models so predictions remain stable across immune-cell composition. The article reports 381 CpGs; the official lambda.min model and this implementation both use the same 380 non-zero CpG inputs.
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|---|---|
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| **Predicts** | chronological age |
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| **Species** | Homo sapiens |
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| **Tissue** | multi-tissue |
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| **Data type** | DNA methylation |
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| **Model type** | two-stage 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, ["intrinclock"])
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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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Tomusiak, A., et al. “Development of an epigenetic clock resistant to changes in immune cell composition.” Communications Biology 7, 934 (2024).
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https://doi.org/10.1038/s42003-024-06609-4
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config.json
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{
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"approved_by_author": "\u231b",
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"citation": "Tomusiak, A., et al. \u201cDevelopment of an epigenetic clock resistant to changes in immune cell composition.\u201d Communications Biology 7, 934 (2024).",
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"citations": 53,
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"citations_date": "2026-07-05",
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"clock_name": "intrinclock",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.1038/s42003-024-06609-4",
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"journal": "Communications Biology",
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"last_author": "Eric Verdin",
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"model_type": "two-stage elastic net regression",
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"n_features": 380,
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"notes": "Multi-tissue chronological-age clock designed by excluding CpGs associated with CD8+ T-cell differentiation, then fitting two sequential elastic-net models so predictions remain stable across immune-cell composition. The article reports 381 CpGs; the official lambda.min model and this implementation both use the same 380 non-zero CpG inputs.",
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"platform": [
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"Illumina 450K",
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"Illumina EPIC"
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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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"multi-tissue"
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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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intrinclock.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c6257bb369e11e24cd5f9e8c147b04ac804c77db7fdd602f7d3c1c556332613
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size 15269
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