Sync retroelementagev2
Browse files- README.md +38 -0
- config.json +34 -0
- retroelementagev2.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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# retroelementagev2
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Composite Retroelement-Age V2 extends the retroelement annotation to CpGs compatible across EPIC v1.0 and v2.0 and was trained by 10-fold-cross-validated elastic net.
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| | |
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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** | 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, ["retroelementagev2"])
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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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Ndhlovu, Lishomwa C., et al. "Retro-age: A unique epigenetic biomarker of aging captured by DNA methylation states of retroelements." Aging Cell 23 (2024): e14288.
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https://doi.org/10.1111/acel.14288
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config.json
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{
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"approved_by_author": "\u231b",
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"citation": "Ndhlovu, Lishomwa C., et al. \"Retro-age: A unique epigenetic biomarker of aging captured by DNA methylation states of retroelements.\" Aging Cell 23 (2024): e14288.",
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"citations": 26,
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"citations_date": "2026-07-05",
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"clock_name": "retroelementagev2",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.1111/acel.14288",
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"journal": "Aging Cell",
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"last_author": "Michael J. Corley",
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"model_type": "elastic net regression",
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"n_features": 1378,
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"notes": "Composite Retroelement-Age V2 extends the retroelement annotation to CpGs compatible across EPIC v1.0 and v2.0 and was trained by 10-fold-cross-validated elastic net.",
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"platform": [
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"Illumina EPIC"
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],
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"population": "all ages",
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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": 2024
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}
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retroelementagev2.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b28ea727e3bcdcfeb53712adf34fab17b0c4389da707f0d0532fe73799bbf525
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size 42981
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