Data input requirements:
- Only two selected cohorts is supported.
- A high dimensional numerical node.
The Volcanoplot allows you to use a high dimensional expression data set (not aCGH or VCF) to create the following plot:
Each dot represents a marker from the selected high dimensional data node. Its position on the x-axis is the log2 fold change between the selected groups. Its position on the y-axis is the -log10 p-value as calculated to determine whether two groups have differential expression for this marker (calculated using the Limma R package).
The blue (logFC) and red (p-value) lines are draggable and allow you to control the number of markers shown in the table on the right or below (depends on screen size). Hovering over dots shows its details.
Because the Volcanoplot draws a very large number of elements on screen, not all web browsers will work seamlessly. Users might experience better performance with Google Chrome than Firefox for instance.