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Table 3 The average size of top 50 highly discriminative subnetwork markers from GSE2034 and NKI295

From: Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network

Gene expression dataset = GSE2034  
   Chuang HPRD GASOLINE BioGRID
Greedy   3.1 3.26 3.54 3.66
AP-based   36.28 35.78 34.18 38.78
jac_p   18.06 19.94 19.58 29
kul_p   21.16 25.32 22.48 36.28
tve_p   34.48 45.26 45.98 61.8
jac_lc β=0.25 18.3 21.36 23.14 34
  β=0.5 15.08 15.38 16.44 24.24
  β=0.75 13.28 16.34 13.44 19.18
kul_lc β=0.25 24 30.14 28.68 39.02
  β=0.5 18.98 22.86 24.18 38.32
  β=0.75 16.06 19.12 20.84 30.98
tve_lc β=0.25 34.1 46.58 43.44 53.54
  β=0.5 28.98 43.8 45.5 71.24
  β=0.75 22.92 44.78 46.32 82.66
Gene expression dataset = NKI295  
   Chuang HPRD GASOLINE Biogrid
Greedy   4.12 3.68 4.46 4.42
AP-based   31.34 30.32 28.78 34.66
jac_p   14.62 16 18.94 27.72
kul_p   12.3 22.5 26.9 33.34
tve_p   28.22 42.24 49.9 57.1
jac_lc β=0.25 15.14 16.8 19.66 30.06
  β=0.5 13.38 12.44 13.68 22.66
  β=0.75 11.54 12.88 10.78 17.98
kul_lc β=0.25 14.8 24.6 27.06 39.26
  β=0.5 15.9 18.5 23.28 33.96
  β=0.75 13.7 17.12 17.22 27.14
tve_lc β=0.25 30.76 41.78 48.66 52.44
  β=0.5 27.26 41.62 50.7 72.88
  β=0.75 18.52 43.22 48.24 81.42