Plots significance versus fold-change for gene expression rates.
Inputs - Data: Input data set.
Outputs - Selected Data: Data subset.
[Volcano plot](https://en.wikipedia.org/wiki/Volcano_plot_(statistics)) is a graphical method for visualizing changes in replicate data. The widget plots a binary logarithm of fold-change on the x-axis versus [statistical significance](https://en.wikipedia.org/wiki/Statistical_significance) (negative base 10 logarithm of p-value) on the y-axis.
Volcano Plot is useful for a quick visual identification of statistically significant data (genes). Genes that are highly dysregulated are farther to the left and right, while highly significant fold changes appear higher on the plot. A combination of the two are those genes that are statistically significant.