1. Data Quality Assessment
↑Correlation analysis (Test sample/QC sample)
↑Principal component analysis ↑Metabolite clustering analysis
2. Metabolite Annotation
↑KEGG database annotation ↑HMDB database annotation
↑Lipidmaps database annotation
3. Sample Grouping Data Analysis (biological replicates ≥ 3)
↑Group principal component analysis (2D/3D)
↑Orthogonal partial least squares discriminant analysis (OPLS-DA)
4. Differential Metabolite Selection (biological replicates ≥ 3)
↑Differential fold change analysis ↑Differential metabolite volcano plot
↑Differential metabolite clustering heatmap ↑Differential metabolite correlation plot
↑Differential metabolite Z-score plot ↑Differential metabolite radar plot analysis
↑Differential metabolite violin plot ↑Differential metabolite box plot
↑Differential metabolite KEGG functional annotation and enrichment analysis
↑ROC curve analysis ↑Differential metabolite k-means clustering
↑Differential metabolite Venn diagram
