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Table 1 Result of stress type prediction

From: StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in arabidopsis

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

  1. 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