Sync mammalian1
Browse files- README.md +38 -0
- config.json +35 -0
- mammalian1.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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# mammalian1
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Universal pan-mammalian clock 1: elastic-net regression of log-transformed chronological age on conserved mammalian-array CpGs, back-transformed to years.
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|---|---|
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| **Predicts** | chronological age |
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| **Species** | multiple species |
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| **Tissue** | multi-tissue |
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| **Data type** | DNA methylation |
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| **Model type** | elastic net regression |
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| **Year** | 2023 |
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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, ["mammalian1"])
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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. "Universal DNA methylation age across mammalian tissues." Nature Aging 3.9 (2023): 1144-1166.
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https://doi.org/10.1038/s43587-023-00462-6
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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. \"Universal DNA methylation age across mammalian tissues.\" Nature Aging 3.9 (2023): 1144-1166.",
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"citations": 390,
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"citations_date": "2026-07-05",
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"clock_name": "mammalian1",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.1038/s43587-023-00462-6",
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"journal": "Nature Aging",
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"last_author": "Steve Horvath",
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"model_type": "elastic net regression",
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"n_features": 335,
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"notes": "Universal pan-mammalian clock 1: elastic-net regression of log-transformed chronological age on conserved mammalian-array CpGs, back-transformed to years.",
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"platform": [
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"Horvath MammalMethylChip40"
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],
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"population": "multiple mammalian species",
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"postprocess": "anti_logp2",
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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": "multiple species",
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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": 2023
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}
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mammalian1.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:209fdae70f5661abde933817c9e5e452fc5b136f54b46c7eab82bebf641920cc
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size 13733
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