Skip to main content
Fig. 5 | BMC Systems Biology

Fig. 5

From: Integrating transcriptional and protein interaction networks to prioritize condition-specific master regulators

Fig. 5

Combined score for viral oncogene-associated GMIT network and protein interaction network improves specificity for identifying cancer genes. a Venn diagram depicting overlap between enriched TFs in gene expression clusters and cancer driver TFs. P-value computed using Fisher’s exact test. Number in blue denotes number of genes in universe not counted inside the Venn diagram. b GMIT transcriptional network for the transforming viral oncogenes. Sanger cancer genes are depicted as red nodes. Size of node is proportional to degree of node. c Line plot shows the ROC curves for overlap with cancer drivers for each of three network measures – degree in GMIT network, degree in yeast two-hybrid network, or combined network score. Bar graph (above) shows the odds ratio of the overlap between cancer drivers and the top 10 % (or top 57 out of 571) TFs. Bar graphs (below) show the significance of the enrichment in cancer drivers using three different statistical tests: W = Wilcoxon rank test, K = Kolmogorov-Smirnov test, F = Fisher’s exact test for the overlap between the top 5 % (or top 29 out of 571) ranked TFs and cancer drivers. Black dotted line indicates lower bound for statistical significance

Back to article page