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Fig. 4 | Genome Biology

Fig. 4

From: Measuring cell-to-cell expression variability in single-cell RNA-sequencing data: a comparative analysis and applications to B cell aging

Fig. 4

Metric performance in the presence of known degrees of variability and overall ranks for each metric. a Boxplots for the rediscovery rate for each metric based on ribosomal genes (ribosomal), stably expressed genes (SEGs), and simulations (HVGs). DM and BASiCS were not included due to missing gene length and batch information, respectively. b Bubble plot of metrics evaluation score across three cell types with two sequencing platforms. Each dot represented a dataset with its indicated number of cells. Each row represents a metric colored by one of the four metric categories. Each section represents one main criterion, including proportions of zero per gene (zero), mean expression (mean), ribosomal genes, SEGs, and gene length. The higher value indicates a stronger performance score where 1 indicates perfect performance

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