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Table 1 Clustering nodes in the human PPI network

From: GraphCrunch 2: Software tool for network modeling, alignment and clustering

k # Significant Clusters # Significant Terms Best Enrichment # Best Clusters
10 9 693 92.58% 1
20 14 694 95.16% 1
30 17 777 97.87% 1
40 24 814 94.08% 1
50 22 855 94.08% 1
60 24 860 97.01% 1
70 28 852 93.92% 1
80 40 892 94.11% 1
90 38 862 100% 1
100 44 867 98% 1
115 49 873 98% 1
  1. k-medoids clusters statistics for the human PPI network [53]. The first column corresponds to the number of clusters (k) used in the k-medoids algorithm. The column labeled "# Significant Clusters" contains the number of clusters for which at least one "biological process" GO term is shared by a statistically significant fraction of proteins in that cluster. The column "# Significant Terms" contains the number of "biological process" GO terms that are shared by a statistically significant fraction of proteins in at least one cluster. The column "Best Enrichment" contains the highest percentage of proteins in some cluster that have the same "biological process" GO term. The column "# Best Clusters" contains the number of clusters corresponding to the best enrichment.