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Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data - Nature Communications
Mass spectrometry-based lipidomics and metabolomics generate large, complex datasets requiring effective analysis. Here, authors review key statistical and visualization methods alongside widely used R and Python tools, and provide a GitBook with step-by-step code for accessible, reproducible data analysis.