Fig. 3
From: Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling
Transcript detection sensitivity: a Distributions of unique molecular identifiers (UMIs) and b genes detected in EL4 cells by sample are plotted. c Numbers of UMIs or d genes detected versus numbers of reads per cell for each cell type are plotted. e Accumulated average numbers of genes detected from aggregated data of subsamples up to 50 cells are plotted. f Dropout modeling (dropout rate versus FPKM of bulk sequencing) for EL4 cells by method are shown. A left-shifted curve indicates higher sensitivity, that is, fewer dropouts at lower expression levels. Sensitivity of methods for EL4 cells ranked in the following order: 10x 3′ v3 > 10x 5′ v1 > 10x 3′ v2 > ddSEQ > Drop-seq > ICELL8 3′ DE > ICELL8 3′ DE-UMI. Cells with high mitochondrial expression rates were excluded from this calculation