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RNA-seq Cancer Detection on Cervical Cancer RNA-seq Dataset

90AccuracyRGE-GCN
68.05673.75379.4585.147Dec 3, 2025

Evaluation results

MethodLinks
RGE-GCNClassifier=Graph Convolutional Network (GCN), #Genes=732025.1290
limma-voomClassifier=Graph Convolutional Network (GCN), #Genes=582025.1290
edgeRClassifier=Random Forest (RF), #Genes=582025.1288.9
edgeRClassifier=Graph Convolutional Network (GCN), #Genes=582025.1286.7
limma-voomClassifier=Random Forest (RF), #Genes=582025.1286.7
RGE-GCNClassifier=Support Vector Machine (SVM), #Genes=732025.1284.4
DESeq2Classifier=Random Forest (RF), #Genes=2022025.1284.4
DESeq2Classifier=Graph Convolutional Network (GCN), #Genes=2022025.1283.3
RGE-GCNClassifier=Random Forest (RF), #Genes=732025.1280
edgeRClassifier=Support Vector Machine (SVM), #Genes=582025.1278.9
DESeq2Classifier=Support Vector Machine (SVM), #Genes=2022025.1276.7
edgeRClassifier=Multilayer Perceptron (MLP), #Genes=582025.1276.7
limma-voomClassifier=Support Vector Machine (SVM), #Genes=582025.1274.4
limma-voomClassifier=Multilayer Perceptron (MLP), #Genes=582025.1273.3
DESeq2Classifier=Multilayer Perceptron (MLP), #Genes=2022025.1270
RGE-GCNClassifier=Multilayer Perceptron (MLP), #Genes=732025.1268.9