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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