wilcoxDEG: Multiple Wilcoxons tests for each row of a dataframe
In jtcasemajor/CPRD: Comparison of DEG and coexpression tools

Description Usage Arguments Value Examples

Testing, for one row at the time, if the first series of values are different, greater or less than the values of the second condition.

1	wilcoxDEG(data, n1, n2)

`data`	dataframe of gene expression levels: Gene names in rows, samples in columns.
`n1`	Number of samples for the first experimental condition
`n2`	Number of samples for the second experimental condition

Dataframe with three columns, each corresponding to a hypothesis : weak hypothesis, and two for the strong hypothesis "alternative = "less" ", and "greater" For the second condition has values that are less or greater than values of the first one.

# Import the dataset
Data = matrix(runif(5000, 10, 100), ncol=20)
group = paste0(rep(c("control", "case"), each = 10),rep(c(1:10),each = 1))
genes <- paste0(rep(LETTERS[1:25], each=10), rep(c(1:10),each = 1))
colnames(Data) = group
row.names(Data) = genes 

# Compute Pvalues
res.DEG = wilcoxDEG(Data,10,10)