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Fig 1.

Flowchart of the iLOO algorithm.

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Fig 1 Expand

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.

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Fig 2 Expand

Table 1.

Number of features with 0 through 4 detected outliers in the control group of rat RNA-seq data.

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Table 1 Expand

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.

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Fig 3 Expand

Table 2.

Mean (standard deviation) of accuracy metrics from simulated RNA-seq data comparing iLOO (using edgeR normalized sequencing depths) to edgeR-robust.

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Table 2 Expand