Fig. 6: The gene expression level of normal and tumoral tissues derived from RIP-TAG2 mice in the dataset GSE73514 26. | npj Systems Biology and Applications

Fig. 6: The gene expression level of normal and tumoral tissues derived from RIP-TAG2 mice in the dataset GSE73514 26.

From: A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective

Fig. 6

A Wilcoxon test was applied, and significant values were considered for p < 0.05. The dashed lines depict the binarization threshold, defining the value which separates normal and tumor tissue with simultaneously the highest sensitivity and highest specificity. The area under the curve (AUC) indicates the performance of the classifier. In all the depicted binarized expression values, an AUC of 100% was measured. Ccne1, E2f, Cip2a, and Ifg1 were significantly up-regulated in tumors, while Cdh1 was significantly down-regulated. These results matched our observed attractors patterns (Supplementary Figs. 6–9). Boxplots depict median and first and third quartiles.

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