Refresh citation counts and audited metadata (2026-10-02)
Browse files- README.md +2 -1
- config.json +3 -3
- twelvecelldeconvolutebloodepictreg.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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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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| **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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| **Predicts** | regulatory T-cell proportion |
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config.json
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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":
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"citations_date": "2026-
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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.
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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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twelvecelldeconvolutebloodepictreg.pt
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size
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size 35261
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