RNA-seq Cancer Detection on Kidney cancer RNA-seq dataset
94.2AccuracyRGE-GCN
Evaluation Results
| Method | Links | |
|---|---|---|
| RGE-GCNClassifier=Graph Convolutional Network (GCN), #Genes=134712025.12 | 94.2 | |
| RGE-GCNClassifier=Random Forest (RF), #Genes=134712025.12 | 94.1 | |
| RGE-GCNClassifier=Support Vector Machine (SVM), #Genes=134712025.12 | 93.4 | |
| DESeq2Classifier=Random Forest (RF), #Genes=23282025.12 | 93.1 | |
| edgeRClassifier=Multilayer Perceptron (MLP), #Genes=9082025.12 | 92.9 | |
| limma-voomClassifier=Multilayer Perceptron (MLP), #Genes=9392025.12 | 92.9 | |
| RGE-GCNClassifier=Multilayer Perceptron (MLP), #Genes=134712025.12 | 92.8 | |
| DESeq2Classifier=Multilayer Perceptron (MLP), #Genes=23282025.12 | 92.5 | |
| edgeRClassifier=Random Forest (RF), #Genes=9082025.12 | 92.1 | |
| edgeRClassifier=Support Vector Machine (SVM), #Genes=9082025.12 | 92.1 | |
| limma-voomClassifier=Random Forest (RF), #Genes=9392025.12 | 91.6 | |
| limma-voomClassifier=Support Vector Machine (SVM), #Genes=9392025.12 | 91.1 | |
| DESeq2Classifier=Graph Convolutional Network (GCN), #Genes=23282025.12 | 89.2 | |
| edgeRClassifier=Graph Convolutional Network (GCN), #Genes=9082025.12 | 88.9 | |
| limma-voomClassifier=Graph Convolutional Network (GCN), #Genes=9392025.12 | 88.6 | |
| DESeq2Classifier=Support Vector Machine (SVM), #Genes=23282025.12 | 87.6 |