Feature visualization in large scale imaging mass spectrometry data

Computer Science

• Component Analysis 85%
• Extracted Feature 57%
• Feature Extraction 85%
• Features Detection 14%
• Noise-to-Signal Ratio 14%
• Parameter Control 14%
• Performance Characteristic 14%
• Principal Components 100%
• Qualitative Approach 14%
• Qualitative Comparison 14%
• Quantitative Comparison 14%
• Robust Approach 14%
• Spatial Distribution 28%
• Spectral Distribution 14%
• Spectral Profile 14%
• Transfer Function 28%
• Visualization Feature 100%
• Visualization Technique 57%
• Volume Rendering 28%

Engineering

• Based Feature Extraction 14%
• Component Analysis 85%
• Extracted Feature 57%
• Feature Extraction 71%
• Features Detection 14%
• Ground Truth 14%
• High Resolution 100%
• Mean-Squared-Error 14%
• Metrics 14%
• Microscale 14%
• Performance Characteristic 14%
• Principal Components 100%
• Qualitative Approach 14%
• Rotational 14%
• Signal-to-Noise Ratio 14%
• Spatial Characteristic 14%
• Spatial Distribution 28%
• Spatial Position 14%
• Spectral Characteristic 14%
• Spectral Distribution 14%
• Spectral Profile 14%
• Transfer Function 28%
• Volume Rendering 28%

Biochemistry, Genetics and Molecular Biology

• Biochemistry 16%
• Feature Detection 16%
• Imaging Mass Spectrometry 100%
• Principal Component Analysis 100%
• Proteomics 16%
• Signal Noise Ratio 16%
• Spectroscopy 50%
• Surface Property 50%