unique_DE_genes: Select the top DE genes from each cluster
In Yutong441/TBdev: Infer a Trophoblast Developmental Trajectory

Description Usage Arguments

If 1 DE gene appears in 2 clusters, the cluster with the highest avg_logFC will be chosen. Then the user can specify the option in iterative whether the other DE genes from the group will be chosen to ensure at the end the number of DE genes in each group is the same. NB: only upregulated genes will be selected

unique_DE_genes(
  DE_genes,
  top_number,
  gene = "feature",
  weighting = "logFC",
  cluster = "group",
  iterative = NULL
)

`DE_genes`	a dataframe
`top_number`	how many DE genes per cluster/group to choose
`gene`	which column has the gene symbols
`weighting`	which column has the gene rankings
`cluster`	which column has the cluster names/numbers
`iterative`	how many iterations to run until the number of DE genes in each group is the same. By default, no iteration will be performed. I recommend choosing a moderate size e.g. 10~20 to ensure the end result. I could have implemented a while loop but until I consider all possible scenarios, I would not do so.