(b) The confusion matrix from a Random Forest analysis shows that GBM samples could be separated from control samples, with a 77% predictive accuracy. Thirty of 38 control samples and 29 of 39 pre-radiation samples were correctly classified.
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| Figure 2: Urinary metabolomic profile distinguish GBM patients from healthy controls. (a) Welch’s two-sample t-test was used to identify metabolites that
differed significantly between GBM groups (magenta), compared to control (untreated healthy, blue). In this unsupervised clustering, metabolite values are plotted
on the y-axis and individual samples are on the x-axis, “group”. Dark blue coloring within the cluster represent elevated metabolite levels and yellow represents
decreased metabolite levels. Additionally, along the right most aspect of the cluster the super-pathway for each metabolite is colorcoded. (b) The confusion matrix from a Random Forest analysis shows that GBM samples could be separated from control samples, with a 77% predictive accuracy. Thirty of 38 control samples and 29 of 39 pre-radiation samples were correctly classified. |
