|
Disease Progression Matrix |
|||||
| 85% ± 13.2 |
Infected Progression |
||||
|
|
|||||
| 08 mpi |
16 mpi |
24 mpi |
32 mpi |
40 mpi |
|
|
|
|||||
| 08 mpi |
3 |
0 |
0 |
0 |
0 |
| 16 mpi |
0 |
3 |
0 |
0 |
0 |
| 24 mpi |
0 |
0 |
2 |
2 |
0 |
| 32 mpi |
0 |
0 |
0 |
1 |
0 |
| 40 mpi |
0 |
0 |
0 |
0 |
3 |
| no class |
0 |
0 |
0 |
0 |
0 |
| error |
0 |
0 |
0 |
2 |
0 |
|
The classifier created was applied to the training set to assign gel maps with respect to disease progression. 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% ± 13.2 accuracy. The two misclassified samples at 32 mpi were placed into the immediately proceeding sampling time. | |||||
Simon et al. Proteome Science 2008 6:23 doi:10.1186/1477-5956-6-23 |
|||||