Statistical analysis and modeling of mass spectrometry-based metabolomics data

Keyphrases

• Model Validation 100%
• Statistical Analysis 100%
• Metabolomics Data 100%
• Variable Selection Methods 100%
• Mass Spectrometry-based Metabolomics 100%
• Partial Least Squares Structural Equation Modeling (PLS-SEM) 50%
• Method Validation 50%
• Model Building 50%
• Regression Model 50%
• Logistic Regression 50%
• Two-sample T-test 50%
• Principal Coordinate Analysis (PCoA) 50%
• Statistical Techniques 50%
• Receiver Operating Characteristic Analysis 50%
• Overfitting 50%
• Random Forest 50%
• Leave-one-out 50%
• Classification Model 50%
• Multivariate Statistical Techniques 50%
• Biomarker Selection 50%
• Model Evaluation Method 50%
• Regression Support Vector Machine 50%
• Monte Carlo Cross-validation 50%
• Model-independent 50%
• Metabolomics Study 50%

Biochemistry, Genetics and Molecular Biology

• Metabolomics 100%
• Mass Spectrometry 100%
• Principal Component Analysis 50%
• Two Sample t-Test 50%
• Support Vector Machine 50%
• Random Forest 50%