Filter lowly expressed features with edgeR — filter_expr • bulkMAE

Filter lowly expressed features with edgeR

Usage

filter_expr(
  x,
  experiment,
  assay = "counts",
  group = NULL,
  design = NULL,
  min_count = 10,
  min_total_count = 15,
  ...
)

Arguments

x: A MultiAssayExperiment object.
experiment: Optional experiment name.
assay: Assay name or one-based assay index.
group: Optional metadata column or grouping vector.
design: Optional design matrix. Supply either group or design.
min_count: Minimum count passed to edgeR::filterByExpr().
min_total_count: Minimum total count passed to edgeR::filterByExpr().
...: Additional arguments passed to edgeR::filterByExpr().

Value

A named logical vector, one value per feature.