Figure 4

Comparison of CCA with other classification methods using the Gata3 dataset. The classification ability of CCA was compared with other classification methods. The Th dataset was used as a training data (explanatory variables for CCA), and WT data from the Gata3 dataset was used as a test data. Sensitivity and accuracy of those methods are plotted for each T cell subset (shown on the left side), using various numbers of genes (n; between 10 and 30). The numbers of condition positive (‘correct’ Th samples) and condition negative (all other samples) are two and six, respectively, in all the analyses.