Individual skill

bioconductor-cytomem

MEM, Marker Enrichment Modeling, automatically generates and displays quantitative labels for cell populations that have been identified from single-cell data. The input for MEM is a dataset that has pre-clustered or pre-gated populations with cells in rows and features in columns. Labels convey a list of measured features and the features' levels of relative enrichment on each population. MEM can be applied to a wide variety of data types and can compare between MEM labels from flow cytometry,

skills/single-cell/cytomem/SKILL.md

Source commit c9bd4d8eb6edc5308a8f55e6184dce9e8afadf12

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Nov 4, 2026

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