Skip to main content
. 2004 Oct;70(10):6157–6165. doi: 10.1128/AEM.70.10.6157-6165.2004

FIG. 5.

FIG. 5.

Discrimination of respiratory and nonrespiratory inhibitors by using genetic programming to select discriminatory variables. Data were acquired as described above in the legends to Fig. 3 and 4 for all samples except fluazinam, and a genetic program was trained by using gmax-bio to evolve rules that can discriminate respiratory (symbols inside the top left dotted box) from nonrespiratory (symbols outside of the dotted box) modes of action. Variable (m/z) 144 was a member of all but one of the selected rules. In this example, its values are plotted against those of one of several other variables (m/z 141) that were used by the rules, here resulting in linearly separable clusters (shown as dotted lines). Triangles, training set; closed circles, test set for validation purposes; open circles, independent test set.