Function：
The Wilcoxon rank-sum test tool is used to determine whether two independent samples were selected from populations having the same distribution. Unlike the t-test it does not require the assumption of normal distributions.

Input：

Attention：Input tab delimited text files with headers. If your data is not TAB delimited, you can use Excel to convert it.

（1） Different analysis table file：Input a tab delimited text file with headers. The first row is sample names and the first column is variable name. Values in the table are variable value.Each group should have 3 samples at least, and multiple groups of samples should be compared in pairs

（2） Comparison file：Input a tab delimited text file where a row represents a comparison with the second column versus the first column.

（3） Grouping file：Input a tab delimited text file where sample names in the first column and group names in the second column

Parameters：

（1）1) Test value: you can choose P value or Q value for test value. Q value (false discovery rate, FDR) is calculated by FDR correction of P value.

（2） Threshold for P value or Q value: Normally, the threshold for differential expression analysis is 0.05. You can also set the threshold according to your experiment, like 0.01 or 0.001.

（3）Threshold of fold change: The default of is 1, which means you dont think about fold change.

（4） Graph：The default is histogram, the optional graphs is heat map.

Output

diff_stat.xls： statistical table of differential variable numbers
diff_stat.pdf/png： differential variable histogram between comparison groups (vector/scalar figure)
A-vs-B.wilcox.all.xls： Differentially variable values table
A-vs-B. Wilcox.filter.xls： Significantly differentially variable values table
A-vs-B.DE.heat map.pdf/png： Differentially variable values volcano plot (vector/scalar figure)