twelvecelldeconvolutebloodepicbas
Reference-based constrained deconvolution returning the basophil 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.
| Predicts | basophil proportion |
| Species | Homo sapiens |
| Tissue | purified blood leukocytes |
| Data type | DNA methylation |
| Model type | reference-based constrained deconvolution |
| Year | 2022 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["twelvecelldeconvolutebloodepicbas"])
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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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