Table 12 Optimal number of genes selected by our method.
From: Discriminative biomarker selection using hybrid multi-population evolutionary computation
Datasets | Accuracy | #Feat | Interpretation of gene |
|---|---|---|---|
Leukaemia | 97.85 | 17 | AFFX-HUMTFRR/M11507_3_at, AB002318_at, AC002115_cds1_at, D13897_rna2_at, D14822_at, D25215_at, D83782_at, HG1019-HT1019_at, HG4297-HT4567_at, J04794_at, L06499_at, M14123_xpt3_at, M62402_at, U07563_cds1_at, V00535_rna2_s_at, X84213_s_at |
MLL | 94.25 | 18 | AFFX-HUMGAPDH/M33197_5_at, 31677_at, 32416_at, 33702_f_at, 35600_at, 36076_g_at, 37208_at, 37548_at, 38335_at, 38674_at, 39048_at, 39773_at, 40072_at, 40504_at, 41159_at, 41180_i_at, 41206_r_at, 41731_g_at |
Ovarian | 96.75 | 14 | MZ0.16141209, MZ1.9090029, MZ3.5555556, , MZ6.8306324, MZ7.7889223, MZ10.369405, MZ12.38191, MZ17.406119, MZ22.835709, MZ28.800563, MZ14608.301, MZ14728.11, MZ15067.552 |
CNS | 95.25 | 18 | AFFX-BioDn-5_st, AC000061_cds2_at, D50922_at, D86096_cds3_at, HG1723-HT1729_at, HG3514-HT3708_at, K03008_cds1_at, L14542_at, L41919_rna1_at, M18731_at, M60748_at, M77142_at, M88282_at, U08998_at, U31875_at, U72066_at, X04688_at, X14346_at |
SRBCT | 100 | 11 | gene15, gene102, gene170, gene321, gene409, gene585, gene985, gene1194, gene1427, gene1504, gene1972 |
Lung cancer | 100 | 15 | AFFX-hum_alu_at, AFFX-HUMTFRR/M11507_5_at, 32398_s_at, 33015_at, 34600_s_at, 35494_at, 36395_at, 32316_s_at, 32974_at, 34526_s_at, 1381_at, 1020_s_at, 354_s_at, 172_at, 110_at |
