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bio-metabolomics-statistical-analysis

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Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery. Use when identifying differentially abundant metabolites or building classification models.

When to use

• univariate testing
• multivariate methods (PCA, PLS-DA)
• biomarker discovery
• identifying differentially abundant metabolites
• building classification models
• feature-wise statistical tests
• supervised classification model
• feature selection simultaneously with classification

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