Fig. 4

Illustrations of multiomics data investigated in Case 2. a Principal component illustration present in the quality module, comparing proteomics and transcriptomics. As can be seen, the major trends are similar between the two data types. b Distribution of how high-significance features upregulated in RNA-seq (left) distribute in the proteomics dataset (right). The positions of TP53 are indicated with an arrow. c Boxplots of TP53, identified in the dataset across the four studied sample classifications using the feature check module. Significant differences are present between CNV_high and CNV_low in both transcriptomics and proteomics. d Correlation distributions between the RNA-seq and proteomics features using the correlation module