de_stats_selected_pairs | R Documentation |
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
)
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.param |
A list of differential gene expression parameters from |
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. |
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.
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