End-to-end training of deep probabilistic CCA on paired biomedical observations

Keyphrases

• Image Features 100%
• Gene Expression Level 66%
• Probabilistic Canonical Correlation Analysis 66%
• Neural Network 33%
• Modeling Framework 33%
• Gene Expression Data 33%
• Latent Variables 33%
• Expression Data 33%
• Latent Structure 33%
• Modality-specific 33%
• Network Parameters 33%
• Convolutional Neural Network 33%
• Image Level 33%
• Genotype-Tissue Expression (GTEx) 33%
• Inference Framework 33%
• Histopathological Images 33%
• Disease Diagnosis 33%
• Linear Embedding 33%
• Image Embedding 33%
• Medical Image 33%
• Neural Network Embedding 33%
• Multimodal Inference 33%
• Latent Subspace 33%
• Multimodal Modelling 33%

Computer Science

• image feature 100%
• Expression Level 66%
• Correlation Analysis 66%
• Neural Network 33%
• Gene Expression Data 33%
• Simulated Data 33%
• Network Parameter 33%
• Convolutional Neural Network 33%
• Latent Structure 33%