Table 2.

Graphical outputs and their functions for the RACE Statistical Tests tool

Output	Function
Correlation matrix plot	Check whether intra-group correlations are higher than correlations between groups; identify outlier samples
Sample cluster	Check whether uploaded groups yield separated clusters; identify sample subgroups
StdDev plots	Compare distributions of expression standard deviations in the different groups; assess variability in different groups
p-Value histogram	Obtain a visual impression of the amount of differentially expressed genes by the height of a potential peak at small p-values
Volcano plots	Check for genes with high significance and large expression changes across groups
FDR versus p-value plot	Find the appropriate p-value threshold to limit the estimated FDR of the resulting gene list below a fixed value
MvA plot	Visualize mean expression and log changes of all genes; label genes which were selected according to user's defined p-value and fold-change cutoffs