Select the top DE genes, ranked on either fold change or -log10(p-value)

Source: R/select_top_de_genes.R

Select the top DE genes, ranked on either fold change or -log10(p-value)

select_top_de_genes(
  data,
  n = 10,
  fold_change = "fold_change",
  p_value = "p_value",
  groups = c(),
  rank_by = "fold_change",
  only_pos = FALSE
)

Arguments

data

differential expression results
n

number of top DE genes to select
fold_change

column containing fold change data (x-axis)
p_value

column containing p-value data (y-axis is -log10(p_value))
groups

column containing groups to get top DE genes per group (for example, cluster column)
rank_by

whether to rank by fold_change or p_value first
only_pos

only select features with positive fold change

Value

Examples

NULL
#> NULL