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✅ Pathway Volcano: An interactive tool for pathway guided visualization of differential expression data

science

The increasing size and complexity of omics datasets can make effective visualization and interpretation very challenging. Differential expression datasets as from RNA-sequencing and proteomics can contain many thousands of features and even after filtering for significance there can be hundreds or thousands of features to consider. A common tool for visualizing this type of data is the volcano plot where each feature is plotted as log2 transformed fold change along the x-axis and the negative log10 of a p-value along the y-axis. These plots provide a useful visualization of the largest and most significant changes, but the majority of the features are often crowded and overlapping near the cone of the volcano.

BioRxiv     Nov 23, 2024