Cox-ResNet: A Survival Analysis Model Based on Residual Neural Networks for Gene Expression Data

Keyphrases

• Survival Analysis 100%
• Gene Expression Data 100%
• U-Net 100%
• Residual Neural Network 100%
• Genome Data 33%
• ResNet Model 33%
• Biological Function 16%
• Biological Processes 16%
• Network Model 16%
• Prediction Accuracy 16%
• Cancer Types 16%
• Disease Progression 16%
• Visualization Method 16%
• Computational Challenges 16%
• Neural Network Model 16%
• High-risk Population 16%
• Genomic Data 16%
• Image-based 16%
• Protein-protein Interaction Network Analysis 16%
• 2D Image 16%
• Overfitting 16%
• Bladder Cancer 16%
• Heat Map 16%
• Residual Network 16%
• Gradient-weighted Class Activation Mapping (Grad-CAM) 16%
• Deep Learning Technology 16%
• Prognostic Genes 16%
• Hub Genes 16%
• Cancer Prognosis 16%
• Gene Position 16%
• High-dimensional Small Sample 16%
• Driver Genes 16%
• Map Gene 16%
• Cox Proportional Hazards 16%

Biochemistry, Genetics and Molecular Biology

• Gene Expression Data 100%
• Biological Phenomena and Functions Concerning the Entire Organism 50%
• Solution and Solubility 50%
• Biological Functions 50%
• Protein-Protein Interaction 50%
• Hub Genes 50%
• High Risk Population 50%