Table 2.
Number of Jackknife rounds for which each method captured the largest number of features
| Feature | Data | LMS | LMS | LOO | LOO | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Cohort | Category | Type | MIST | MAST | DIP | SIBER | SST | MOP | SST | MOP |
| 14 AMKLs | TSG | SX | 330 | 0 | 0 | 0 | 34 | 0 | 0 | 0 |
| 14 AMKLs | TSG | SJ | 247 | 0 | 0 | 0 | 118 | 0 | 0 | 0 |
| 14 AMKLs | TSG | AX | 125 | 0 | 209 | 33 | 1 | 0 | 0 | 0 |
| 14 AMKLs | TSG | AG | 309 | 0 | 58 | 0 | 0 | 0 | 0 | 0 |
| 14 AMKLs | GDR | SX | 128 | 0 | 63 | 0 | 174 | 0 | 0 | 0 |
| 14 AMKLs | GDR | SJ | 192 | 0 | 48 | 0 | 131 | 0 | 0 | 0 |
| 14 AMKLs | GDR | AX | 106 | 0 | 253 | 17 | 0 | 0 | 0 | 0 |
| 14 AMKLs | GDR | AG | 111 | 6 | 204 | 166 | 22 | 0 | 0 | 0 |
| 14 AMKLs | TOL | SX | 11 | 142 | 0 | 1 | 166 | 1 | 70 | 0 |
| 14 AMKLs | TOL | SJ | 0 | 113 | 6 | 232 | 89 | 61 | 116 | 49 |
| 14 AMKLs | TOL | AX | 11 | 301 | 1 | 33 | 0 | 8 | 23 | 38 |
| 14 AMKLs | TOL | AG | 235 | 353 | 0 | 21 | 78 | 55 | 38 | 34 |
| 157 AMLs | TSG | SX | 1 | 1 | 0 | 0 | 60 | 32 | 0 | 6 |
| 157 AMLs | TSG | SJ | 0 | 1 | 0 | 0 | 100 | 0 | 0 | 0 |
| 157 AMLs | GDR | SX | 92 | 0 | 0 | 0 | 8 | 0 | 0 | 0 |
| 157 AMLs | GDR | SJ | 82 | 0 | 0 | 0 | 18 | 0 | 0 | 0 |
Note: For each row, the greatest number is shown in boldface. *TSG = tumor subgroup; GDR = gender; TOL = tumor outlier; SX = sequence exons; SJ = sequence junctions; AX = array exons; AG = array genes. Sums of rows may be greater than the total number of jackknife rounds due to ties.