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Figure 6 | Genome Biology

Figure 6

From: Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Figure 6

Sensitivity and precision of algorithms across combinations of sample size and effect size. DESeq2 and edgeR often had the highest sensitivity of those algorithms that controlled the FDR, i.e., those algorithms which fall on or to the left of the vertical black line. For a plot of sensitivity against false positive rate, rather than FDR, see Additional file 1: Figure S8, and for the dependence of sensitivity on the mean of counts, see Additional file 1: Figure S9. Note that EBSeq filters low-count genes (see main text for details).

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