TABLE 2.
The 28 most discriminant features which, together, achieved the best prediction performance
Rank | Marker | m/z | ΔJ (%) |
---|---|---|---|
1 | Yes | 1,274.6 | 47.0 |
2 | Yes | 912.7 | 48.1 |
3 | Yes | 760.3 | 50.0 |
4 | No | 808.5 | 0.0 |
5 | Yes | 977.9 | 49.1 |
6 | Yes | 1,275.6 | 46.1 |
7 | No | 909.8 | 0.0 |
8 | Yes | 935.7 | 46.1 |
9 | Yes | 814.7 | 41.2 |
10 | No | 822.4 | 0.0 |
11 | Yes | 1,273.6 | 46.7 |
12 | Yes | 977.4 | 49.1 |
13 | Yes | 758.6 | 50.0 |
14 | Yes | 936.7 | 47.8 |
15 | No | 1,276.6 | 0.0 |
16 | Yes | 801.6 | 45.6 |
17 | Yes | 911.7 | 47.5 |
18 | Yes | 757.6 | 49.5 |
19 | Yes | 1,296.6 | 47.7 |
20 | No | 860.3 | 0.0 |
21 | Yes | 761.6 | 33.9 |
22 | No | 839.6 | 24.8 |
23 | Yes | 768.2 | 49.4 |
24 | No | 1,046.4 | 0.0 |
25 | No | 1,045.4 | 0.0 |
26 | No | 760.5 | 0.0 |
27 | Yes | 978.4 | 49.1 |
28 | Yes | 933.7 | 47.3 |