Biomarkers for Detection and Monitoring of B16 Melanoma in Mouse Urine and Feces

Figure 3

Score plot for the urine PLS-DA classification model with 3 latent variables. Sixty-eight percent of the variance in the data () are explained, and 73% of the data are predicted (), by this model. A very good discrimination can be observed between the “healthy,” the “early-melanoma,” and the “late melanoma” clusters. Letters represent suggested classification (see Table 1) and numbers indicate mouse identity (1–9).