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Fig. 2 | BioData Mining

Fig. 2

From: Revisiting the use of graph centrality models in biological pathway analysis

Fig. 2

Comparison of the cumulative density between cancer-related genes and normal genes. The data points represent the quantile-scores calculated based on normalized centrality (Formula 23) across all pathways. Each panel includes the p-value of Kolmogorov-Smirnov test for the hypothesis of the CDF of cancer genes being below that of the normal genes. The panels show that cancer genes tend to have higher centrality values according to all of the models. This indicates the individual values of source and sink components for capturing the topological importance of cancer genes. Asterisk marks denote the p-values generate by the KS test method in R

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