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Table 1 Topological analysis of edge clusters for varying β

From: Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets

   Edge clusters 0.5-sup 0.75-sup 1.0-sup
β |E S | |M| V ¯ E ¯ RE ¯ ρ ¯ sup ¯ |M |(%) sup ¯ |M |(%) sup ¯ |M |(%)
0 2273510 421 48.5 77.2 0.74 0.16 6.8 337(80) 1.9 46(11) 0.3 0(0)
0.1 1945908 470 44.3 69.1 0.74 0.16 6.9 382(81) 2 57(12) 0.3 0(0)
0.2 873741 1559 15.8 19 0.58 0.25 9.1 1546(99) 4 578(37) 1.1 11(1)
0.3 226832 1777 10.5 10.4 0.41 0.28 10.3 1777(100) 5.9 1380(78) 2.4 209(12)
0.4 55897 896 8.5 8.2 0.36 0.31 11.5 896(100) 7.8 880(98) 4.1 383(43)
0.5 15779 276 9.5 9.4 0.32 0.3 11.7 276(100) 8.9 275(100) 5.4 162(59)
0.6 3864 147 7.7 7.4 0.33 0.33 12.6 147(100) 10 147(100) 6.9 127(86)
0.7 625 25 6.2 6.8 0.45 0.45 15.1 25(100) 12 25(100) 9.1 24(96)
0.8 625 4 5.2 6.5 0.66 0.66 19 4(100) 14.2 4(100) 10.5 4(100)
0.9 20 1 4 6 1 1 23 1(100) 22 1(100) 20 1(100)
  1. An α value of 0.5 is used and only edge clusters with at least 4 edges are retained.