Cancer Detection on Kidney cancer
0.913F1 ScoreRGE-GCN
Evaluation results
| Method | Links | |
|---|---|---|
| RGE-GCN#Genes=13471, Classifier=Random Forest2025.12 | 0.913 | |
| RGE-GCN#Genes=13471, Classifier=Graph Convolutional Network2025.12 | 0.907 | |
| RGE-GCN#Genes=13471, Classifier=Multilayer Perceptron2025.12 | 0.901 | |
| DESeq2#Genes=2328, Classifier=Random Forest2025.12 | 0.898 | |
| RGE-GCN#Genes=13471, Classifier=Support Vector Machine2025.12 | 0.897 | |
| edgeR#Genes=908, Classifier=Multilayer Perceptron2025.12 | 0.895 | |
| DESeq2#Genes=2328, Classifier=Multilayer Perceptron2025.12 | 0.886 | |
| edgeR#Genes=908, Classifier=Random Forest2025.12 | 0.884 | |
| limma-voom#Genes=939, Classifier=Random Forest2025.12 | 0.884 | |
| limma-voom#Genes=939, Classifier=Multilayer Perceptron2025.12 | 0.882 | |
| edgeR#Genes=908, Classifier=Support Vector Machine2025.12 | 0.879 | |
| limma-voom#Genes=939, Classifier=Support Vector Machine2025.12 | 0.863 | |
| DESeq2#Genes=2328, Classifier=Graph Convolutional Network2025.12 | 0.843 | |
| edgeR#Genes=908, Classifier=Graph Convolutional Network2025.12 | 0.841 | |
| limma-voom#Genes=939, Classifier=Graph Convolutional Network2025.12 | 0.834 | |
| DESeq2#Genes=2328, Classifier=Support Vector Machine2025.12 | 0.808 |