ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling

Keyphrases

• Disease Pattern 100%
• Confounding 100%
• Non-negative Matrix Factorization 100%
• Risk Modeling 100%
• Polygenic Risk 100%
• Molecular Mechanism 66%
• Confounding Variables 66%
• Disease Status 66%
• Multiple States 33%
• Molecular Function 33%
• Genetic Studies 33%
• Targeted Intervention 33%
• Machine Learning Approach 33%
• Prediction Model 33%
• Feature Analysis 33%
• Higher Learning 33%
• Accuracy Improvement 33%
• High Dimension 33%
• Disease Risk Prediction 33%
• Predicting Diseases 33%
• Gene Pathway 33%
• Gene Set 33%
• Learned Features 33%
• Effective Feature 33%
• Softmax Classifier 33%
• Status Prediction 33%
• Supervised Model 33%
• Matrix Factorization Model 33%
• Supervised Matrix Factorization 33%
• Type Prediction 33%

Computer Science

• Molecular Mechanism 100%
• nonnegative matrix factorization 100%
• Prediction Model 50%
• Interpretability 50%
• High Dimensionality 50%
• Machine Learning Approach 50%
• Molecular Function 50%
• Learned Feature 50%
• Matrix Factorization Model 50%