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• W2580658028 abstract "Learning cell identity from high-content single-cell data presently relies on human experts. We present marker enrichment modeling (MEM), an algorithm that objectively describes cells by quantifying contextual feature enrichment and reporting a human- and machine-readable text label. MEM outperforms traditional metrics in describing immune and cancer cell subsets from fluorescence and mass cytometry. MEM provides a quantitative language to communicate characteristics of new and established cytotypes observed in complex tissues." @default.
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• W2580658028 date "2017-01-30" @default.
• W2580658028 modified "2023-10-14" @default.
• W2580658028 title "Characterizing cell subsets using marker enrichment modeling" @default.
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• W2580658028 doi "https://doi.org/10.1038/nmeth.4149" @default.
• W2580658028 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5330853" @default.
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