Motif-Based Text Mining of Microbial Metagenome Redundancy Profiling Data for Disease Classification

Figure 3

ROC curves of motif finding step of PMF algorithm for pneumonia samples (CAP + HAP) in 2-class problem (a, b), normal samples (c, d), CAP samples in 3-class problem (e, f), and HAP samples in 3-class problem (g, h), with NNA or SVM.

(a) auc = 0.7943

(b) auc = 0.9652

(c) auc = 0.6347

(d) auc = 0.8810

(e) auc = 0.6139

(f) auc = 0.7648

(g) auc = 0.7219

(h) auc = 0.7520