Draw Simplified Flower Plot for Core vs. Unique Genes — draw_flower

Creates a circular "flower" diagram where each petal represents a gene set, showing the number of genes unique to that set. The center displays the size of the core intersection (genes shared by all sets). Designed for intuitive comparison of shared vs. condition-specific genes across 2–6 groups.

Usage

draw_flower_simplified(gene_lists, project_name, filename, group_colors)

Arguments

gene_lists: A named list of character vectors containing gene identifiers (e.g., symbols or Entrez IDs).
project_name: Character. Prefix for the plot title (e.g., "Differential Loops").
filename: Character. Output file path (e.g., "flower.png" or "flower.pdf").
group_colors: Character vector. Colors for each group (named or in same order as gene_lists).

Value

Invisibly returns NULL. Saves the plot to filename.

Examples

# 1. Create dummy gene sets with some overlap
gene_sets <- list(
  Control = c("TP53", "BRCA1", "MYC"),
  Treated = c("BRCA1", "MYC", "EGFR"),
  Resistant = c("MYC", "EGFR", "KRAS")
)
# 2. Draw the flower plot
draw_flower_simplified(
  gene_lists = gene_sets,
  project_name = "Drug Response Study",
  filename = tempfile(fileext = ".png"),
  group_colors = c(Control = "#E41A1C", Treated = "#377EB8", Resistant = "#4DAF4A")
)
#>     Saved (Simplified Flower Plot with inner counts): /tmp/Rtmpp3oEeP/file41ba6c8d783a.png