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Table 3 Number of genes selected for each microarray dataset and gene selection method.

From: A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

Task & dataset

No gene selection

RFE

RFVS1

RFVS2

KW

S2N

Dx-Alizadeh

4026

12

62

73

19

15

Dx-Alon

2000

105

16

3

15

13

Dx-Armstrong

11225

74

709

57

106

48

Dx-Bhattacharjee

12600

289

27

15

1864

653

Dx-Golub

5327

12

456

336

42

4

Dx-Khan

2308

28

17

18

15

11

Dx-Nutt

10367

1598

126

101

476

926

Dx-Pomeroy

5920

186

34

16

70

435

Dx-Ramaswamy

15009

3346

966

411

8248

10277

Dx-Ramaswamy2

13247

1576

12

4

4129

1364

Dx-Shipp

5469

8

15

6

13

89

Dx-Singh

10509

157

58

21

22

38

Dx-Staunton

5726

169

152

73

93

97

Dx-Su

12533

2429

845

320

1318

1927

Px-Beer

7129

201

15

7

953

1380

Px-Bhattacharjee

12600

21

46

7

138

61

Px-Iizuka

7070

103

38

7

168

185

Px-Pomeroy

7129

70

29

13

445

439

Px-Rosenwald

7399

2338

124

27

3201

3897

Px-Veer

24188

1056

124

20

5388

4405

Px-Veer2

24188

491

149

39

1194

1764

Px-Yeoh

12240

1187

21

6

3077

1869

  1. Average number of genes selected over 10 cross-validation training sets.