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Table 4 The number of unique genes in 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   130 121 140 139
AP-based   1814 1789 1709 1939
jac_p   903 997 979 1450
kul_p   1058 1266 1124 1814
tve_p   1724 2263 2299 3090
jac_lc β=0.25 915 1068 1157 1700
  β=0.5 754 769 822 1212
  β=0.75 664 817 672 959
kul_lc β=0.25 1200 1507 1434 1951
  β=0.5 949 1143 1209 1916
  β=0.75 803 956 1042 1549
tve_lc β=0.25 1705 2329 2172 2677
  β=0.5 1449 2190 2275 3562
  β=0.75 1146 2239 2316 4133
Gene expression dataset = NKI295  
   Chuang HPRD GASOLINE Biogrid
Greedy   114 110 118 150
AP-based   1567 1516 1439 1733
jac_p   731 800 947 1386
kul_p   615 1125 1345 1667
tve_p   1411 2112 2495 2855
jac_lc β=0.25 757 840 983 1503
  β=0.5 669 622 684 1133
  β=0.75 577 644 539 899
kul_lc β=0.25 740 1230 1353 1963
  β=0.5 795 925 1164 1698
  β=0.75 685 856 861 1357
tve_lc β=0.25 1538 2089 2433 2622
  β=0.5 1363 2081 2535 3644
  β=0.75 926 2161 2412 4071