Methods | Accuracy |
---|
StressGenePred+FC | 0.963 |
RF+FC | 0.961 |
SVM+FC | 0.945 |
StressGenePred+limma | 0.821 |
RF+limma | 0.853 |
SVM+limma | 0.813 |
- Three stress type prediction models, StressGenePred (our model), random forest (RF) and support vector machine (SVM), are compared combined with two feature embedding models, fold change (FC) and limma