Figure 2: Principal components analysis. From an autofit model that yielded 7 principal components, a combination of PC3 and PC6 gives a separation of the wild type and transgenic samples of brain metabolites. This figure shows the scores plot, derived by principal components analysis, as a combination of Principal Component (PC) 3 on the -axis and PC 6 on the -axis. Each transgenic animal is represented by a red circle, each wild type by a purple triangle. Each point is labeled either with VEH for vehicle treatment or DSP for drug treatment followed by the number assigned to an individual mouse after assignment to a treatment group, but before any experimental procedure. The clustering observed in this plot indicates separation of the wild-type and transgenic samples based on the global profile of all of the brain metabolites detected in our analysis.