Feature selection for genomic signal processing: Unsupervised, supervised and self-supervised scenarios

Keyphrases

• Feature Selection 100%
• Genomic Signal Processing 100%
• Optimized SVM 100%
• Vector Index 100%
• Feature Selection Methods 66%
• Self-supervision 66%
• Microarray 33%
• Order of Magnitude 33%
• High-dimensional Data 33%
• Dimensionality Reduction 33%
• Subcellular Localization 33%
• Selection Strategy 33%
• Wrapper 33%
• Training Data 33%
• Pattern Vector 33%
• Application Data 33%
• Effective Data 33%
• Art Features 33%
• SVM Algorithm 33%
• Notion of Self 33%
• Special Methods 33%
• Sample Application 33%
• Data Mining System 33%
• Time-course Experiment 33%
• Bioinformatics Approach 33%
• Selective Features 33%
• Localization Experiment 33%

Computer Science

• Signal Processing 100%
• Feature Selection 100%
• Feature Extraction 100%
• Support Vector Machine 75%
• Data Type 25%
• Training Data 25%
• Application Data 25%
• Data Mining System 25%
• Sample Application 25%
• Pattern Vector 25%
• Bioinformatics 25%
• Selection Method 25%