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ggpicrust2()
This function integrates pathway name/description annotations, ten of the most advanced differential abundance (DA) methods, and visualization of DA results.
ko2kegg_abundance()
Convert KO abundance in picrust2 export files to KEGG pathway abundance
pathway_annotation()
Pathway information annotation of "EC", "KO", "MetaCyc" pathway
pathway_daa()
Predictional functional patwhay differential abundance (DA)
pathway_errorbar
The function pathway_errorbar() is used to visualize the results of functional pathway differential abundance analysis as error bar plots.
pathway_heatmap
Create pathway heatmap
pathway_pca()
Perform Principal Component Analysis (PCA) on functional pathway abundance data and create visualizations of the PCA results.