group_diff: run differential expression analysis by group
In Moonerss/ProteinBase:

differential expression analysis by group

group_diff(
  data,
  group,
  method = c("wilcox", "Ttest"),
  log2FC = 1,
  pval = 0.05,
  fdr = 0.05,
  part = c("all", "up", "down")
)

`data`	the data matrix to calculate the SD. For the matrix, the rows represent the genomic features, and the columns represents the samples.
`group`	A data frame contain two columns. The first column is sample name matched with colnames of data, The second column is the cluster label of samples.
`method`	The methods to calculate the differential features
`log2FC`	The log2 fold change cutoff, default 1
`pval`	The p value cutoff, default 0.05
`fdr`	The FDR cutoff, default 0.05
`part`	Select the unregulated features