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bio-metabolomics-statistical-analysis

Statistical analysis for metabolomics data. Covers preprocessing (log2 transformation, normalization), limma moderated testing with empirical Bayes, Welch's t-tests with BH correction, fold change estimation, and multivariate methods (PCA, PLS-DA, OPLS-DA). Use when identifying differentially abu...

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Categorydevelopment
UpdatedMay 13, 2026
GPTomics/bioSkills