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Table 1 P-values of Wilcoxon test to determine significance of mean values of network centralities and semantic measures for subnetwork

From: An integrative approach for a network based meta-analysis of viral RNAi screens

  HIV HCV Combined
Centrality measure s66 s52 s43 s64 s46 s52 s239
Betweenness < 0.0001 0.0131 0.0247 0.0005 0.0131 0.0131 0.0040
Closeness <0.0001 0.0131 0.0247 0.0005 0.0131 0.0131 0.0040
Clustering Coefficient < 0.0001 0.0247 0.0001 0.0005 0.0131 0.0131 0.0040
Eigenvector Centrality < 0.0001 0.0131 1 1 1 0.0057 0.0057
Node Degree < 0.0001 1 0.0247 0.0005 0.0211 0.0131 0.0040
Path Length < 0.0001 0.0131 0.0247 0.0002 0.0131 0.0131 0.0040
Dice Similarity < 0.0001 0.0131 0.0247 0.0005 0.0131 0.0131 0.0040
Wang Sim. (GO.BP) 0.0004 0.0286 0.5926 0.6009 0.0284 0.0286 0.0136
Wang Sim. (GO.CC) 0.0004 0.0286 0.5926 0.0315 0.0284 0.0286 0.0136
Wang Sim. (GO.MF) 0.0004 0.0286 0.0498 0.7713 1 0.3429 0.1077
  1. A Wilcoxon test was used to determine the significance of network centrality measures and semantic similarity measures of subnetworks significantly enriched with RNAi screening hits. Average similarity measures over all nodes in a given enriched cluster were tested against non-enriched subnetworks of comparable size, using a Wilcoxon test to assess significance of the differences between the means for each of the given network centrality and semantic similarity measures. Shown are resulting p-values for two clusters for HIV, two clusters for HCV, and three combined clusters.