PopComm (version 1.0.0)

circle_plot: Plot Circular Ligand-Receptor Interaction Network

Description

Plots a circular ligand-receptor (LR) interaction network with curved directed edges. Nodes are arranged in a circle, and edge widths and colors represent interaction strengths.

Usage

circle_plot(
  filtered_lr,
  edge_width = c("count", "cor"),
  node_colors = NULL,
  show_self_interactions = TRUE,
  cutoff = 0
)

Value

A ggplot object representing the network plot.

Arguments

filtered_lr

A data frame of ligand-receptor pairs from prior analysis (e.g., output of filter_lr_all), containing at least the columns "sender", "receiver", and "cor".

edge_width

Determines edge weights, either "cor" (correlation) or "count" (interaction count) (default: "count").

node_colors

Named vector mapping cell types to colors. Example: c("Cardiac" = "#E41A1C", "Fibroblast" = "#377EB8"). If NULL, uses default palette.

show_self_interactions

Logical indicating whether to display self-interactions (logical, default: TRUE).

cutoff

Minimum edge weight to display (numeric, default: 0).

Examples

# Plot Circular Cell-Cell Interaction Network
data(filtered_lr_eg)

p <- circle_plot(
  filtered_lr = filtered_lr_eg,
  edge_width = "count",
  show_self_interactions = TRUE
)

print(p)