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Statistical processing of multiplexed samples to reduce noise and highlight selected features. Upon filtering based on array QC readouts, and eliminating the low variation markers (SD less than 1), we performed feature selection based sparse hierarchical clustering of 72 single-cells. The clustering result, based on the selected features (42 marker genes), is shown. The marker-specific variation is indicated by standard deviation (Gene SD).
