Fig 1.
Flowchart of the iLOO algorithm.
Fig 2.
Venn diagram of the number of features with outliers detected by iLOO and edgeR-robust.
The totals provided present the number of (a) single outlier features and (b) features with two detected outliers identified by iLOO and edgeR-robust in the control group of rat RNA-seq data.
Table 1.
Number of features with 0 through 4 detected outliers in the control group of rat RNA-seq data.
Fig 3.
Scatterplot of read counts observed in real data for a sample of features.
Scatterplot of raw counts for six representative features displaying counts identified as outliers by iLOO (purple diamond), edgeR-robust (red diamond), and both methods (blue diamond) in the control group of rat RNA-seq data.
Table 2.
Mean (standard deviation) of accuracy metrics from simulated RNA-seq data comparing iLOO (using edgeR normalized sequencing depths) to edgeR-robust.