To assess the appropriateness of candidate metabolites and to more comprehensively and intuitively display the relationships among samples and the differential expression patterns of metabolites across different samples, hierarchical clustering is utilized based on the expression levels of significantly differential metabolites. This approach aids in accurately identifying marker metabolites and examining changes in associated metabolic processes.
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