XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

Keyphrases

• Omics Data 100%
• Cancer Classification 100%
• Interpretable Deep Learning 100%
• Deep Learning Model 66%
• Variational Autoencoder 66%
• Latent Dimension 66%
• Practical Implementation 33%
• Deep Learning Methods 33%
• Omics 33%
• Academic Literature 33%
• Clustering Results 33%
• Unsupervised Clustering 33%
• Biomedical Knowledge 33%
• Supervised Classification 33%
• Deep Learning Applications 33%
• Classification Prediction 33%
• Explainability 33%
• Downstream Task 33%
• Biomedical Knowledge Discovery 33%
• Biological Annotations 33%
• Black Box Problem 33%
• Cancer Clustering 33%
• Deep Learning Network 33%
• Activation Level 33%

Biochemistry, Genetics and Molecular Biology

• Tamsulosin 100%
• Cancer Classification 100%
• Network Learning 33%
• Knowledge Discovery 33%

Chemical Engineering

• Deep Learning Method 100%