MetaFeature: Aggregate expression of multiple features into a single...

In lambdamoses/SeuratBasics: Slimmed down version of Seurat

Description

Calculates relative contribution of each feature to each cell for given set of features.

Usage

MetaFeature(
  object,
  features,
  meta.name = "metafeature",
  cells = NULL,
  assay = NULL,
  slot = "data"
)

Arguments

object	A Seurat object
features	List of features to aggregate
meta.name	Name of column in metadata to store metafeature
cells	List of cells to use (default all cells)
assay	Which assay to use
slot	Which slot to take data from (default data)

Value

Returns a Seurat object with metafeature stored in objct metadata

Examples

pbmc_small <- MetaFeature(
  object = pbmc_small,
  features = c("LTB", "EAF2"),
  meta.name = 'var.aggregate'
)
head(pbmc_small[[]])

lambdamoses/SeuratBasics documentation built on May 6, 2020, 9:32 a.m.