Robust and efficient identification of biomarkers by classifying features on graphs

Keyphrases

• Robust Identification 100%
• Single nucleotide Polymorphism 100%
• Bipartite Graph 100%
• Efficient Identification 100%
• Highly Reproducible 100%
• Gene Expression 50%
• Gene Function 50%
• Microarray 50%
• Biomarker Discovery 50%
• Marker Genes 50%
• Classification Algorithms 50%
• Computational Challenges 50%
• Clinical Significance 50%
• Biomarker Identification 50%
• Classification Performance 50%
• Clinical Variables 50%
• Optimal Labeling 50%
• Cluster Structure 50%
• Biological Relevance 50%
• Disease Marker 50%
• Disease Prognosis 50%
• Graph-based 50%
• Biclustering 50%
• Feature Classification 50%
• Breast Cancer Data 50%
• Thoughput 50%
• Result Reproducibility 50%
• Feature Nodes 50%
• Positive-negative 50%
• Global Optimal 50%
• Network Propagation Algorithm 50%
• Network Propagation 50%
• Genetic Variables 50%
• High-throughput Gene Expression 50%
• Enriched Functions 50%

Computer Science

• Bipartite Graph 100%
• High Throughput 50%
• Support Vector Machine 50%
• Propagation Algorithm 50%
• Baseline Method 50%
• Classification Performance 50%
• Cluster Structure 50%
• Classification Algorithm 50%

Biochemistry, Genetics and Molecular Biology

• Single-Nucleotide Polymorphism 100%
• Gene Expression 100%
• Genetics 50%
• Biomarker Discovery 50%
• Classification Algorithm 50%
• Marker Gene 50%
• Biomarker Identification 50%