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Figure 3 | Proteome Science

Figure 3

From: Factors affecting the accuracy of urine-based biomarkers of BSE

Figure 3

Principle component analysis of the unknown set using the classifier generated by the known set. The number adjacent to each spot identifies the unknown set sample it represents. The colour of the centre of each circle identifies its true disease state (blue = BSE negative, red = BSE positive). The positions of the misclassified samples (7, 9, 11, 16, 17) are indicated by arrows. The perimeter colour indicates how these samples were classified by the known set classifier as opposed to their true identity indicated by the colour of the interior of the circles. When applied to the unknown set the known set classifier generates four false positives and one false negative. (PC1 = 40.5, PC2 = 22.5).

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