TABLE 4.
Top 12 genes ranked by MCC method.
| Rank | Name | Score |
|---|---|---|
| 1 | ERBB2 | 16,584 |
| 2 | MTOR | 16,584 |
| 3 | KRAS | 16,566 |
| 4 | HSP90AA1 | 16,560 |
| 5 | EGFR | 15,870 |
| 6 | PIK3CA | 15,846 |
| 7 | MCL1 | 11,520 |
| 8 | ERBB3 | 10,080 |
| 9 | MAPK8 | 5,040 |
| 10 | ERBB4 | 5,040 |
| 11 | ABCB1 | 744 |
| 12 | CHEK2 | 720 |
Top 12 genes ranked by MCC method.
| Rank | Name | Score |
|---|---|---|
| 1 | ERBB2 | 16,584 |
| 2 | MTOR | 16,584 |
| 3 | KRAS | 16,566 |
| 4 | HSP90AA1 | 16,560 |
| 5 | EGFR | 15,870 |
| 6 | PIK3CA | 15,846 |
| 7 | MCL1 | 11,520 |
| 8 | ERBB3 | 10,080 |
| 9 | MAPK8 | 5,040 |
| 10 | ERBB4 | 5,040 |
| 11 | ABCB1 | 744 |
| 12 | CHEK2 | 720 |