DE Visualization

Create visualizations for differential expression analysis using DESeq2 and edgeR built-in plotting functions.

Scope

This skill covers DE-specific built-in functions:

• DESeq2: plotMA(), plotPCA(), plotDispEsts(), plotCounts()
• edgeR: plotMD(), plotBCV(), plotMDS()
• Sample distance heatmaps and p-value distributions

For custom ggplot2/matplotlib implementations of volcano, MA, and PCA plots, see data-visualization/specialized-omics-plots.

Required Libraries