Gene selection and classification for cancer microarray data based on machine learning and similarity measures

Computer Science

• Machine Learning 100%
• Microarray Data 100%
• Peephole Optimization 100%
• Selection Method 100%
• Support Vector Machine 66%
• Random Decision Forest 33%
• Supervised Learning 33%
• Small Sample Size 33%
• Microarray Data Analysis 33%
• Information Redundancy 33%
• Bayes Classifier 33%
• Forward Selection 33%
• Sequential Forward 33%
• Gene Expression Data Set 33%

Biochemistry, Genetics and Molecular Biology

• Microarrays 100%
• Similarity Measure 100%
• Support Vector Machine 50%
• Gene Expression Data 25%
• Sample Size 25%
• Bayesian Learning 25%
• Random Forest 25%