Skip to main content
Figure 6 | Molecular Cancer

Figure 6

From: Metabolite profiling of human colon carcinoma – deregulation of TCA cycle and amino acid turnover

Figure 6

Validation of predictive models for the separation of colon cancer from normal tissues based on 2, 3, 4, ..., 206 metabolites. Sensitivity and specificity were calculated in a leave-one-out approach. A: nearest centroid classification (NCC), B: nearest mean classification (NMC), C: linear discriminant analysis (LDA), D: linear support vector machines (SVM). E/F: Validation of nearest centroid classification (NCC) with 206 metabolites by looking at training data sets with n = 6, 8, ..., 34 samples. For each size n, 1000 training data sets were generated by randomly drawing n/2 tumors and n/2 normal tissues from the 45 samples. The remaining 45-n samples were used as test data. Sensitivity (E) and specificity (F) were reported and their distributions were visualized as box plots. The boundaries of boxes and whiskers mark the 5th, 25th, 50th, 75th, and 95th percentile.

Back to article page