Table 4 Pairwise Wilcoxon tests on AUPRCs of different methods
From: Predicting enhancers with deep convolutional neural networks
| Â | gkmSVM | 4conv2pool | 4conv2pool4norm | 4conv | 6conv3pool | 6conv3pool6norm |
|---|---|---|---|---|---|---|
gkmSVM | – | 5.1e-3 | 5.1e-3 | 6.5e-1 | 5.8e-1 | 5.1e-3 |
4conv2pool | – | – | 2.8e-1 | 5.1e-3 | 5.1e-3 | 5.1e-3 |
4conv2pool4norm | – | – | – | 5.1e-3 | 5.1e-3 | 5.1e-2 |
4conv | – | – | – | – | 4.4e-1 | 5.1e-3 |
6conv3pool | – | – | – | – | – | 9.3e-3 |
6conv3pool6norm | – | – | – | – | – | – |