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

Figure 4

Score plot for the feces PLS-DA classification model with 3 latent variables. Sixty-eight percent of the variance in the data () is explained, and 61% of the data are predicted (), by this model. A good discrimination can be observed between the “healthy” and “early-melanoma” clusters to the “late melanoma” cluster. Letters represent suggested classification (Table 1) and numbers indicate mouse identity (1–9).