85% ± 19.1 | Control Progression |
|---|
| | 08 mpi | 16 mpi | 24 mpi | 32 mpi | 40 mpi |
08 mpi |
4
| 1 | 0 | 0 | 0 |
16 mpi | 0 |
3
| 1 | 1 | 0 |
24 mpi | 0 | 0 |
3
| 0 | 0 |
32 mpi | 0 | 0 | 0 |
3
| 0 |
40 mpi | 0 | 0 | 0 | 0 |
4
|
no class | 0 | 0 | 0 | 0 | 0 |
error | 0 | 1 | 1 | 1 | 0 |
- The classifier created was applied to the training set to assign gel maps with respect to sample collection time. The classification matrix shows an overview of the classification of the gel maps. Gels that were correctly classified are displayed in bold type. A classifier containing 16 biomarkers was used to discriminate between the 5 time points with 85% ± 19.2 accuracy. The misclassified samples at 16 and 24 mpi were placed into the immediately proceeding sampling times. The misclassified sample at 32 mpi was classified as 16 mpi.
