Compute differential expression summary statistics for selected pairs of clusters based on de_param().

de_stats_selected_pairs(
  norm.dat,
  cl,
  pairs,
  de.df = NULL,
  de.param = de_param(),
  method = "limma",
  select.genes = NULL,
  mc.cores = 1,
  cl.means = NULL,
  cl.present = NULL
)

Arguments

norm.dat: a normalized data matrix for data.
cl: a cluster factor object.
pairs: A 2-column matrix of cluster pairs.
de.df: Optional. Pre-computed results from de_selected_pairs() using the same pairs. Default = NULL.
de.param: A list of differential gene expression parameters from de_param()
method: If de.df is NULL, use "limma" or "chisq" to compute differentially expressed genes.
mc.cores: If de.df is NULL, number of cores to use for parallel computation.

Value

A list with two objects:

de.df A list of results from de_selected_pairs() for each pair.
de.genes A list of results from de_stats_pair() for each pair.