MetaFeature: Aggregate expression of multiple features into a single...
In ibseq/scs-analysis: Tools for Single Cell Genomics

Description Usage Arguments Value Examples

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

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

`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)

Returns a Seurat object with metafeature stored in objct metadata

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