An aggregated cross-validation framework for computational discovery of disease-associative genes

Mathematics

• Filter Method 100%
• Cross-Validation 100%
• Predictive Accuracy 33%
• Subset Size 33%
• Optimality 33%
• Biomedical Application 33%

Computer Science

• Feature Selection 100%
• Machine Learning Algorithm 33%
• High Predictive Accuracy 33%
• Gene Expression Data Set 33%
• Pareto-optimality 33%
• Pareto Optimality 33%
• Fitting Problem 33%
• Feature Extraction 33%

Biochemistry, Genetics and Molecular Biology

• Feature Extraction 100%
• Gene Expression 33%
• Microarrays 33%
• Gene Expression Data 33%