Figure 5
From: Factors affecting the accuracy of urine-based biomarkers of BSE
Principle component analysis of the samples grouped according to age. The 27 samples of the merged set were divided into two groups. One containing the 9 animals over 8 years of age and the other containing the 18 animals under 6 years of age. The 44 proteins present in 100% of the gels and exhibiting significant differential abundance (ANOVA p ≤ 0.01) were analyzed using the partial least squares search and RDA algorithms to identify those proteins best able to differentiate between the samples based on the age of the animal that produced them. RDA was used to generate a classifier out of the 5 selected proteins that was able to correctly classify the samples with 95.0 ± 11.2% accuracy. The misclassified sample, unknown set sample 13, is indicated by an arrow. (PC1 = 56.2, PC2 = 27.0).