Table 1. Discrimination of viral and bacterial infections.
Dataset | Factors | Model | TP | FN | FP | TN | Recall | Precision | F1 |
---|---|---|---|---|---|---|---|---|---|
GSE42026 | NG_V; NG_B | K-means | 33 | 7 | 8 | 11 | 0.80 | 0.83 | 0.81 |
GSE60244 | NG_V; NG_B | K-means | 55 | 1 | 16 | 21 | 0.77 | 0.98 | 0.87 |
GSE72809 | NG_V; NG_B | K-means | 77 | 15 | 18 | 34 | 0.81 | 0.84 | 0.82 |
GSE72810 | NG_V; NG_B | K-means | 27 | 1 | 5 | 18 | 0.84 | 0.96 | 0.90 |
K-means model was used. TP, true positives; FN, false negatives; FP, false positives; TN, true negatives; F1, the harmonic ratio of Recall rate and Precision rate. NG_V, number of VRGs with FC>2.0 compared to healthy controls; NG_B, number of BRGs with FC>2.0 compared to healthy controls.