Gene selection using iterative feature elimination random forests for survival outcomes

Keyphrases

• Classification Problem 16%
• Embedding Features 16%
• Feature Removal 100%
• Feature Selection Methods 16%
• Gene Selection 100%
• Gene-based 33%
• High-dimensional Data 50%
• Machine Learning Techniques 16%
• Microarray Data 33%
• Multivariate Correlation 16%
• Prognostic Genes 16%
• Random Forest 100%
• Real-time Data Analysis 16%
• Selection Strategy 33%
• Simulation Data Analysis 16%
• Splitting Criterion 16%
• Survival Outcomes 100%

Computer Science

• Classification Problem 33%
• Feature Selection 33%
• High Dimensional Data 100%
• Machine Learning 33%
• Microarray Data 66%
• Random Decision Forest 100%
• Real Data Sets 33%
• Traditional Method 33%

Mathematics

• Classification Problem 33%
• Dimensional Data 100%
• Real Data 66%
• Single Gene 66%