Table 1.

The accuracy, sensitivity, specificity, PPV, NPV and AUC of SVM analysis of brown and red modules

Modules	Num of genes	Correct rate	Se	Sp	PPV	NPV	AUC
Brown
1–5 genes	5	0.692	0.882	0.333	0.714	0.600	0.810
1–10 genes	10	0.731	0.938	0.400	0.714	0.800	0.743
1–15 genes	15	0.808	0.944	0.500	0.810	0.800	0.800
1–20 genes	20	0.808	0.900	0.500	0.857	0.600	0.733
1–25 genes	25	0.846	0.905	0.600	0.905	0.600	0.914
1–30 genes	30	0.885	1.000	0.450	0.857	1.000	0.933
1–35 genes	35	0.885	0.950	0.667	0.905	0.800	0.895
1–40 genes	40	0.923	1.000	0.714	0.905	1.000	0.905
Red
1–5 genes	5	0.654	0.833	0.750	0.714	0.400	0.686
1–10 genes	10	0.808	0.900	0.500	0.857	0.600	0.743
1–15 genes	15	0.885	0.875	1.000	1.000	0.400	0.943
1–20 genes	20	0.885	0.910	0.750	0.952	0.600	0.857
1–25 genes	25	0.885	0.950	0.667	0.905	0.800	0.800

Se, sensitivity; Sp, specificity; PPV, positive prediction value; NPV, negative prediction value; AUC, area under ROC curve