Biliary Microbiome Changes in Symptomatic Choledocholithiasis Patients Undergoing Endoscopic Retrograde Biliary Drainage

Project

Overview: The report details the analysis of human bile samples, comparing pre- and post-surgery groups using GLC-MS technology. The analysis includes basic data processing, advanced data visualization, and customized analysis based on client needs. Data Analysis Process: The workflow involves data preprocessing, clustering analysis, metabolite classification, principal component analysis (PCA), and orthogonal projections to latent structures-discriminant analysis (OPLS-DA).

Results: Key findings include the identification of significant metabolites, hierarchical clustering, box-plot analysis, matchstick analysis, radar chart analysis, correlation analysis, and KEGG pathway annotation. Output Files: The report provides various output files, including raw data tables, processed data, statistical analysis results, and visualizations like heatmaps, pie charts, and volcano plots.