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bio-de-visualization

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Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms. Use when visualizing differential expression results.

When to use

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

When not to use

• custom ggplot2/matplotlib implementations of volcano, MA, and PCA plots

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