Refresh citation counts and audited metadata (2026-10-02)
Browse files- README.md +2 -1
- config.json +2 -2
- mayne.pt +2 -2
README.md
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---
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license: mit
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library_name: pyaging
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tags:
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- pyaging
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Placental elastic-net clock trained on pooled healthy human placenta methylation datasets; 62 selected CpGs predict gestational age and were used to test age acceleration in early-onset preeclampsia.
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| **Predicts** | gestational age |
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---
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library_name: pyaging
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tags:
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- pyaging
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Placental elastic-net clock trained on pooled healthy human placenta methylation datasets; 62 selected CpGs predict gestational age and were used to test age acceleration in early-onset preeclampsia.
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Model weights retain the original authors' terms; the pyaging software license does not relicense them.
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| **Predicts** | gestational age |
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config.json
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"approved_by_author": "\u231b",
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"citation": "Mayne, Benjamin T., et al. \"Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation.\" Epigenomics 9 (2017): 279\u2013289.",
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"citations": 150,
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"citations_date": "2026-
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"clock_name": "mayne",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.2217/epi-2016-0103",
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"unit": [
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"weeks"
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],
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"version": "0.5.
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"year": 2017
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}
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"approved_by_author": "\u231b",
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"citation": "Mayne, Benjamin T., et al. \"Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation.\" Epigenomics 9 (2017): 279\u2013289.",
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"citations": 150,
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"citations_date": "2026-10-02",
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"clock_name": "mayne",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.2217/epi-2016-0103",
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"unit": [
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"weeks"
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],
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"version": "0.5.7",
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"year": 2017
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}
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mayne.pt
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size 6293
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