Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks

Keyphrases

• Low-rank Tensor 100%
• Pairwise Relation 100%
• Multi-relation 100%
• Biomedical Networks 100%
• Pharmacogenomics 100%
• Tensor Completion 83%
• Graph Regularized 83%
• Disease Genes 66%
• Tensor-based 33%
• Drug Discovery 16%
• Cancer Cell Lines 16%
• Biologically Relevant 16%
• High-order 16%
• Disease Treatment 16%
• Optimization Framework 16%
• Chemotherapy Sensitivity 16%
• Biological Networks 16%
• Protein-protein Interaction Network 16%
• Disease Association 16%
• Multiplex Networks 16%
• Chemical Constituents 16%
• Graph Laplacian 16%
• Tensor Product 16%
• Enrichment Analysis 16%
• Similarity Network 16%
• Potential Clinical Applications 16%
• Drug Repositioning 16%
• Cartesian Product 16%
• Statistical Enrichment 16%
• Strong Product 16%
• Chemical Associations 16%
• Chemical-gene Interaction 16%
• Cartesian Tensor 16%
• Human Disease Network 16%
• Manifold Regularization 16%
• Chemical Structural 16%
• Disease Component 16%

Biochemistry, Genetics and Molecular Biology

• Pharmacogenomics 100%
• Cancer Cell 50%
• Protein-Protein Interaction 50%
• Gene Interaction 50%
• Drug Sensitivity 50%