A model for gene selection and classification of gene expression data

Keyphrases

• Benchmark Dataset 33%
• Cancer Classification 66%
• Cancer Diagnosis 33%
• Classification Accuracy 66%
• Few Samples 33%
• Filter Approach 33%
• Gene Classification 100%
• Gene Expression 33%
• Gene Expression Data 100%
• Gene Selection 100%
• Genetic Algorithm 33%
• Informative Genes 33%
• Support Vector Machine Classifier 33%

Computer Science

• Classification Accuracy 66%
• Gene Expression Data 100%
• Genetic Algorithm 33%
• Support Vector Machine 33%

Biochemistry, Genetics and Molecular Biology

• Cancer Classification 33%
• Gene Expression 33%
• Gene Expression Data 100%
• Genetic Algorithm 33%
• Support Vector Machine 33%