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Feature visualization in large scale imaging mass spectrometry data
A. Broersen
Algorithms
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Dissertatie 2 (Onderzoek NIET TU/e / Promotie TU/e)
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Sorteer per
Gewicht
Alfabetische volgorde
Computer Science
Visualization Feature
100%
Principal Components
100%
Component Analysis
85%
Feature Extraction
85%
Extracted Feature
57%
Visualization Technique
57%
Volume Rendering
28%
Spatial Distribution
28%
Transfer Function
28%
Robust Approach
14%
Qualitative Comparison
14%
Noise-to-Signal Ratio
14%
Qualitative Approach
14%
Features Detection
14%
Quantitative Comparison
14%
Parameter Control
14%
Performance Characteristic
14%
Spectral Distribution
14%
Spectral Profile
14%
Engineering
High Resolution
100%
Principal Components
100%
Component Analysis
85%
Feature Extraction
71%
Extracted Feature
57%
Spatial Distribution
28%
Volume Rendering
28%
Transfer Function
28%
Spatial Position
14%
Performance Characteristic
14%
Metrics
14%
Rotational
14%
Spectral Distribution
14%
Signal-to-Noise Ratio
14%
Spectral Characteristic
14%
Microscale
14%
Ground Truth
14%
Mean-Squared-Error
14%
Based Feature Extraction
14%
Spatial Characteristic
14%
Features Detection
14%
Spectral Profile
14%
Qualitative Approach
14%
Biochemistry, Genetics and Molecular Biology
Principal Component Analysis
100%
Imaging Mass Spectrometry
100%
Surface Property
50%
Spectroscopy
50%
Biochemistry
16%
Feature Detection
16%
Signal Noise Ratio
16%
Proteomics
16%