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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.