Table 1 Accuracies of predicting MOA’s in the adjusted test set, based on classifiers developed on gene expression sets profiled from microarray and RNASeq platforms
From: Inter-platform concordance of gene expression data for the prediction of chemical mode of action
| Platform | Classifier | Overall Acc. % | Sensitivity, Specificity | ||
|---|---|---|---|---|---|
| PPARA | CAR/PXR | Control | |||
| Microarray | Ensemble | 75 | 89,67 | 44,94 | 100,67 |
| SVM | 58 | 56,59 | 33,73 | 100,44 | |
| RF | 67 | 89,54 | 22,94 | 100,56 | |
| PLS+LDA | 71 | 67,73 | 56,80 | 100,61 | |
| PLS+RF | 58 | 44,68 | 44,68 | 100,45 | |
| PCA+LDA | 17 | 0,27 | 0,27 | 67,0 | |
| PCA+RF | 33 | 33,33 | 0,53 | 83,16 | |
| RPART | 62 | 100,39 | 11,93 | 83,55 | |
| RNASeq | Ensemble | 67 | 56,74 | 56,74 | 100,56 |
| SVM | 58 | 67,54 | 22,81 | 100,45 | |
| RF | 58 | 67,54 | 22,81 | 100,45 | |
| PLS+LDA | 67 | 56,74 | 56,74 | 100,56 | |
| PLS+RF | 58 | 67,54 | 22,81 | 100,45 | |
| PCA+LDA | 25 | 33,20 | 0,40 | 50,17 | |
| PCA+RF | 20 | 22,19 | 11,25 | 33,16 | |
| RPART | 46 | 22,60 | 33,54 | 100,28 |