Publications

Characterizing cell subsets in heterogeneous tissues using marker enrichment modeling

Diggins, K.E., Greenplate, A.R., Leelatian, N. et al.

Learning cell identity from single-cell data presently relies on human experts. Here, 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 outperformed 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.

Citation

Diggins, K.E., Greenplate, A.R., Leelatian, N. et al. "Characterizing cell subsets in heterogeneous tissues using marker enrichment modeling" Nature Methods (2017): 275-8