enrichment_spiral_plots: Create Spiral Plots with Legends Using 'spiralize' and...

In TransProR: Analysis and Visualization of Multi-Omics Data

Create Spiral Plots with Legends Using 'spiralize' and 'ComplexHeatmap'

Description

This function initializes a spiral plot, adds tracks for pathways and samples, and generates legends based on the sample and pathway information in the provided data frame. It uses 'spiralize' for the spiral plot and 'ComplexHeatmap' for handling legends.

Usage

enrichment_spiral_plots(results)

Arguments

results

A data frame containing 'Pathway', 'Sample', 'Value', 'PathwayColor', and 'SampleColor' columns.

Value

No return value, called for side effects. This function generates spiral plots and adds legends based on sample and pathway information.

Examples

# Example: Creating enrichment spiral plots with legends

# Define the results data frame
results <- data.frame(
  Pathway = c("Pathway1", "Pathway1", "Pathway2", "Pathway2", "Pathway3"),
  Sample = c("Sample1", "Sample1", "Sample2", "Sample2", "Sample3"),
  Value = c(20, 30, 15, 35, 25),
  PathwayColor = c("red", "red", "blue", "blue", "orange"),
  SampleColor = c("green", "green", "purple", "purple", "cyan"),
  stringsAsFactors = FALSE
)

# Create the enrichment spiral plots with legends
enrichment_spiral_plots(results)

TransProR documentation built on April 4, 2025, 3:16 a.m.