Locate most distinguishing markers between two clusters

Usage

locate_most_different_g_in_2_group(
  sc_obj,
  ident1,
  ident2,
  assay = "RNA",
  test.use = "wilcox",
  pval.adj = 0.05,
  logfc = 0.5,
  min.pct1 = 0.5,
  max.pct2 = 0.2,
  return_top_n = 1
)

Arguments

sc_obj: Seurat object
ident1: First cluster id (string)
ident2: Second cluster id (string)
assay: Assay name, default "RNA"
test.use: DE test, one of "wilcox","roc","MAST"; default "wilcox"
pval.adj: Adjusted p-value cutoff, default 0.05
logfc: |log2FC| cutoff, default 0.5
min.pct1: Minimum detection pct in marker group, default 0.5
max.pct2: Maximum detection pct in other group, default 0.2
return_top_n: Number of top markers to return for each group, default 1.

Value

named vector c(marker1,marker2)

Examples

if (FALSE) { # \dontrun{
tops <- locate_most_different_g_in_2_group(pbmc, "seurat_clusters", "4","5")
} # }