Cancer Detection on Cervical cancer
92.2F1 ScoreRGE-GCN
Evaluation Results
| Method | Links | |
|---|---|---|
| RGE-GCN#Genes=73, Classifier=Graph Convolutional Network2025.12 | 92.2 | |
| limma-voom#Genes=58, Classifier=Graph Convolutional Network2025.12 | 89.9 | |
| edgeR#Genes=58, Classifier=Random Forest2025.12 | 87.7 | |
| RGE-GCN#Genes=73, Classifier=Random Forest2025.12 | 87.6 | |
| DESeq2#Genes=202, Classifier=Random Forest2025.12 | 86.35 | |
| limma-voom#Genes=58, Classifier=Random Forest2025.12 | 85.4 | |
| DESeq2#Genes=202, Classifier=Graph Convolutional Network2025.12 | 84.3 | |
| RGE-GCN#Genes=73, Classifier=Support Vector Machine2025.12 | 82.8 | |
| edgeR#Genes=58, Classifier=Support Vector Machine2025.12 | 78.7 | |
| edgeR#Genes=58, Classifier=Graph Convolutional Network2025.12 | 78.7 | |
| DESeq2#Genes=202, Classifier=Support Vector Machine2025.12 | 76 | |
| limma-voom#Genes=58, Classifier=Multilayer Perceptron2025.12 | 75.8 | |
| limma-voom#Genes=58, Classifier=Support Vector Machine2025.12 | 73.5 | |
| RGE-GCN#Genes=73, Classifier=Multilayer Perceptron2025.12 | 70.6 | |
| edgeR#Genes=58, Classifier=Multilayer Perceptron2025.12 | 68.6 | |
| DESeq2#Genes=202, Classifier=Multilayer Perceptron2025.12 | 61 |