Supplementary Figures Color Key and Histogram 25 AUC 0 Count 1 0.5 0.8 1 Value * * * * * * * * * * * * * * * * * * * * * * si.S arh.S * klas.S * H.10.60.15 H.30.60.15 H.10.100.5 L.10.60.5 L.30.100.15 H.10.60.5 H.30.100.15 H.30.100.5 H.30.60.5 L.10.100.5 L.10.100.15 L.30.100.5 H.10.100.15 L.10.60.15 L.30.60.5 L.30.60.15 pac.S Figure 1: Score based AUC for all scenarios. Asterisks indicate highest values per scenario. Column names encode scenarios in the order expression.exons.percent.samples, thus H.10.100.5 describes the scenario with high expression, 10 exons per gene, 100 percent spliced samples in the respective group and 5 versus 15 samples per group. 1 Figure 2: For all genes simulated, classification by method is displayed. The upper half of the genes contain differential splicing events while the lower half serves as a control. Correctly classified genes are indicated in blue while incorrect predictions are highlighted in yellow. Genes in the first half of the DS set contain one while the second half contains two DS exons. In the scenarios displaying a different sample number per group and less than 100 percent DS samples the group containing the DS event is switched for half of the genes. In order of top-left to bottom-right: ARH, KLAS, SI, MIDAS, ANOSVA, PAC, MADS’, SplicingCompass. Column names encode scenarios in the order expression exons samples percent, thus H 10 5 100 describes the scenario with high expression, 10 exons per gene, 5 versus 15 samples per group and 100 percent spliced samples in the respective group. 2 H_30_15_60 H_10_15_100 H_30_15_100 H_30_15_60 H_10_15_100 H_30_15_100 L_10_15_60 L_30_15_60 L_10_15_100 L_30_15_100 L_10_15_60 L_30_15_60 L_10_15_100 L_30_15_100 H_30_15_100 L_10_15_60 L_30_15_60 L_10_15_100 L_30_15_100 L_30_15_60 L_10_15_100 L_30_15_100 H_10_15_60 H_30_15_60 H_10_15_100 H_30_15_100 H_10_15_60 H_30_15_60 H_10_15_100 H_30_15_100 L_10_15_60 L_30_15_60 L_10_15_100 L_30_15_100 L_10_15_60 L_30_15_60 L_10_15_100 L_30_15_100 H_10_15_60 H_30_15_60 H_10_15_100 H_30_15_100 H_10_15_60 H_30_15_60 H_10_15_100 H_30_15_100 L_30_15_100 L_30_15_100 L_30_5_60 L_30_15_60 L_10_15_100 L_10_15_60 L_10_15_60 L_30_15_60 L_30_5_100 L_30_5_100 L_10_15_100 L_10_5_100 L_30_5_60 L_10_5_100 L_10_5_60 H_30_5_100 H_30_5_100 L_10_5_60 H_30_5_60 H_10_5_100 H_30_5_60 H_10_5_100 H_10_5_60 L_30_5_100 L_30_5_100 H_10_5_60 L_30_5_60 L_10_5_100 L_30_5_60 L_10_5_100 L_10_5_60 H_30_5_100 H_30_5_100 L_10_5_60 H_30_5_60 H_10_5_100 H_30_5_60 H_10_5_100 H_10_5_60 L_30_5_100 L_10_15_60 H_10_5_60 L_30_5_60 L_10_5_100 L_30_5_100 L_10_5_60 H_30_15_60 H_10_15_100 L_30_5_60 L_10_5_100 L_10_5_60 H_30_15_60 H_10_15_60 H_10_15_60 H_30_15_100 H_30_5_100 H_30_5_100 H_10_15_100 H_30_5_60 H_10_5_100 H_30_5_60 H_10_5_100 H_10_5_60 L_30_5_100 L_30_5_100 H_10_5_60 L_30_5_60 L_10_5_100 L_30_5_60 L_10_5_100 L_10_5_60 H_10_15_60 L_10_5_60 H_30_5_60 H_30_5_100 H_10_15_60 H_10_5_60 H_10_5_100 H_30_5_60 H_30_5_100 H_10_5_60 H_10_5_100 6 0 Count Color Key and Histogram 0.2 0.8 Value pcnt expr:pcnt enum:pcnt expr:enum enum enum:snum * expr:snum snum * expr * arh.S si.S klas.S pac.S snum:pcnt Figure 3: Heatmap of ANOVA-based p-values. Asterisks indicate significant values (∗ ∗ ∗ < 0.001, ∗∗ < 0.01, ∗ < 0.1). Analysis of variance reveals the influence of the parameters as well as the influence of parameter combinations on the performance. AUC from score based evaluation(right). enum=number of exons, snum=number of samples, pcnt=percentage of DS samples in one condition, expr =expression intensity 3 Count 0 1 0.2 0.6 Spec Value 1 Value * * * * * mads' * midas * anosva * spComp * * * * * * * * anosva * * * * * midas * * * * * * * spComp arh * klas * * si * * * mads' * * * * * * * * * * L.30.60.5 H.10.100.5 L.30.100.15 * * * H.30.100.15 H.30.100.5 L.10.100.15 L.30.100.5 H.10.100.15 L.10.100.5 H.30.60.15 L.10.60.5 H.10.60.15 H.10.60.5 H.30.60.5 L.10.60.15 L.30.60.5 * * pac * pac L.30.60.15 * H.10.60.15 * * * H.30.60.15 * * * H.10.100.15 * * * * L.10.100.15 * * H.30.100.15 * * H.10.60.5 * klas * * L.10.60.15 * * * L.10.100.5 * * H.30.100.5 * * * L.30.60.15 * * arh * L.10.60.5 * * si * L.30.100.15 * * L.30.100.5 * H.10.100.5 0.4 H.30.60.5 0 Color Key and Histogram 0 60 Sens 25 Count Color Key and Histogram Figure 4: Supplementary Figure. Sensitivity (left) and Specificity (right) for all scenarios (p-value based evaluation). Asterisks indicate highest value per scenario. Column names encode scenarios in the order expression.exons.percent.samples, thus H.10.100.5 describes the scenario with high expression, 10 exons per gene, 100 percent spliced samples in the respective group and 5 versus 15 samples per group. 10000 12000 8000 10000 6000 8000 6000 4000 4000 2000 2000 firma scomp anosva pac klas mads' si midas arh firma scomp anosva pac mads' klas si midas 0 arh 0 Figure 5: Number of genes beeing predicted as DS per method for the colon cancer data set (left) and the lung cancer data set (right). 4 1.0 10 Correctly classified Spec Sens firma scomp pac anosva mads' klas arh si 0 firma 0.0 scomp 2 pac 0.2 anosva 4 mads' 0.4 si 6 klas 0.6 midas 8 arh 0.8 midas # TP # TN Figure 6: Sensitivity and specificity for RT-PCR validated DS events in the colon cancer data set (left) and the number of RT-PCR validated DS events for every method (right). 1.0 Correctly classified Spec Sens # TP # TN 0.8 15 0.6 10 0.4 5 0.2 firma scomp anosva pac mads' klas si midas arh firma scomp anosva pac klas mads' si midas 0 arh 0.0 Figure 7: Sensitivity and specificity for validated DS events in the lung cancer data set. 5 Count 5000 Color Key and Histogram 0 0.4 1 scomp midas pac si firma klas anosva arh Value Figure 8: Heatmap of the predicted DS events in the colon cancer data set. Note, that MADS’ was excluded for computational reasons due to the high number of predictions. Columns and rows are hierarchically clustered. 6
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