Figure 6
From: Factors affecting the accuracy of urine-based biomarkers of BSE
Principle component analysis of the samples grouped according to gender. The 27 samples of the merged set were divided into two groups. One group contained the 12 steers and the other contained the 15 cows. The 185 proteins present in 100% of the gels and exhibiting significant differential abundance (ANOVA p ≤ 0.01) were analyzed using the PLSS and RDA algorithms to identify those proteins best able to differentiate between the samples based on the gender of the animal that produced them. RDA was used to generate a classifier out of the 4 selected proteins that correctly classified all the samples with respect to gender. (PC1 = 66.8, PC2 = 20.7).