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Refresh citation counts and audited metadata (2026-10-02)

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README.md CHANGED
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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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  Reference-based constrained deconvolution returning the regulatory T-cell proportion from EPIC-array blood methylation. The published EPIC IDOL-Ext library used 1,200 CpGs selected to optimize recovery of known artificial-mixture cell-type proportions; pyaging instead inherits Biolearn’s undocumented 240-CpG replacement, whose rows reproducibly comprise 10 positive and 10 negative maximal cell-versus-other methylation contrasts per subtype and are not a subset of the published 1,200 probes.
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  | | |
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  |---|---|
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  | **Predicts** | regulatory T-cell proportion |
 
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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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  Reference-based constrained deconvolution returning the regulatory T-cell proportion from EPIC-array blood methylation. The published EPIC IDOL-Ext library used 1,200 CpGs selected to optimize recovery of known artificial-mixture cell-type proportions; pyaging instead inherits Biolearn’s undocumented 240-CpG replacement, whose rows reproducibly comprise 10 positive and 10 negative maximal cell-versus-other methylation contrasts per subtype and are not a subset of the published 1,200 probes.
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+ Model weights retain the original authors' terms; the pyaging software license does not relicense them.
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+
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  | | |
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  |---|---|
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  | **Predicts** | regulatory T-cell proportion |
config.json CHANGED
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  {
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  "approved_by_author": "\u231b",
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  "citation": "Salas, L.A., Zhang, Z., Koestler, D.C. et al. Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling. Nature Communications 13, 761 (2022).",
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- "citations": 13,
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- "citations_date": "2026-07-05",
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  "clock_name": "twelvecelldeconvolutebloodepictreg",
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  "data_type": "DNA methylation",
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  "doi": "https://doi.org/10.1038/s41467-021-27864-7",
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  "unit": [
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  "proportion"
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  "year": 2022
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  }
 
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  {
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  "approved_by_author": "\u231b",
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  "citation": "Salas, L.A., Zhang, Z., Koestler, D.C. et al. Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling. Nature Communications 13, 761 (2022).",
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+ "citations": 302,
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+ "citations_date": "2026-10-02",
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  "clock_name": "twelvecelldeconvolutebloodepictreg",
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  "data_type": "DNA methylation",
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  "doi": "https://doi.org/10.1038/s41467-021-27864-7",
 
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  "unit": [
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  "proportion"
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  ],
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+ "version": "0.5.7",
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  "year": 2022
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  }
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