metachat.pl.plot_communication_responseGenes_keggEnrich

metachat.pl.plot_communication_responseGenes_keggEnrich(df_result, organism='Human', show_term_order=[0, 1, 2, 3, 4], cmap='green', maxshow_gene=5, figsize=(6, 6), ax=None, plot_savepath=None)

Plot a horizontal bar chart summarizing KEGG enrichment results of MCC response genes.

This function visualizes the top enriched KEGG pathways identified from mc.tl.communication_responseGenes(), with bar length representing -log10(p-value) and text annotations showing top associated genes.

Parameters

df_resultpandas.DataFrame

The KEGG enrichment results table returned by mc.tl.communication_responseGenes().

organism{“Human”, “Mouse”}, default=”Human”

If set to "Mouse", gene names are capitalized (first letter uppercase, rest lowercase).

show_term_orderlist of int, default=[0,1,2,3,4]

List of row indices (in df_result) specifying which pathways to show and their order. If None, the top 5 terms will be displayed.

cmap{“green”, “blue”, “red”}, default=”green”

Color theme for the barplot.

maxshow_geneint, default=10

Maximum number of genes to display under each pathway.

figsizetuple of float, default=(6, 6)

Figure size (width, height).

axmatplotlib.axes.Axes, optional

Existing Matplotlib axis to draw the barplot on. If None, a new figure and axis are created.

plot_savepathstr, optional

File path to save the figure (e.g., "results/kegg_enrich.pdf"). The format is inferred from the file extension. If None, the plot is shown interactively.

Returns

axmatplotlib.axes.Axes

Matplotlib axis containing the bar chart.

Notes

• This visualization summarizes KEGG enrichment performed by mc.tl.communication_responseGenes().

• Each bar represents one KEGG pathway, with its significance shown as -log10(p-value).

• Up to maxshow_gene top genes per pathway are displayed below the bar label.