On gene selection and classification for cancer microarray data using multi-step clustering and sparse representation

Keyphrases

• Gene Expression 100%
• Gene Selection 100%
• Microarray Data 100%
• Gene Classification 100%
• Sparse Representation 100%
• Microarray Cancer Data 100%
• Prediction Model 66%
• Least Absolute Shrinkage and Selection Operator (LASSO) 66%
• Feature Selection Methods 66%
• Significant Genes 66%
• Cancer Cases 66%
• LASSO Algorithm 66%
• Genome-scale 33%
• Prediction Method 33%
• Support Vector Machine 33%
• Prediction Accuracy 33%
• Correlation Coefficient 33%
• High Correlation 33%
• High Dimension 33%
• Whole Genome 33%
• Clustering Algorithm 33%
• Classification Algorithms 33%
• Efficient Classification 33%
• Bayesian Lasso 33%
• Gene Space 33%
• Type Prediction 33%
• Gene Occurrence 33%
• Data Profile 33%
• Feature Prediction 33%
• Cancer Disease 33%
• Least Squares Support Vector Regression (LSSVR) 33%
• Information Gain 33%
• Case Classification 33%

Computer Science

• Microarray Data 100%
• Sparse Representation 100%
• Feature Selection 50%
• Prediction Model 50%
• Feature Extraction 50%
• Experimental Result 25%
• Support Vector Machine 25%
• Clustering Algorithm 25%
• Classification Algorithm 25%
• Predictive Accuracy 25%
• Association Study 25%
• High Correlation 25%
• Information Gain 25%