Aggregate expression of multiple features into a single feature

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"
)

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

data("pbmc_small")
pbmc_small <- MetaFeature(
  object = pbmc_small,
  features = c("LTB", "EAF2"),
  meta.name = 'var.aggregate'
)
head(pbmc_small[[]])
#>                   orig.ident nCount_RNA nFeature_RNA RNA_snn_res.0.8
#> ATGCCAGAACGACT SeuratProject         70           47               0
#> CATGGCCTGTGCAT SeuratProject         85           52               0
#> GAACCTGATGAACC SeuratProject         87           50               1
#> TGACTGGATTCTCA SeuratProject        127           56               0
#> AGTCAGACTGCACA SeuratProject        173           53               0
#> TCTGATACACGTGT SeuratProject         70           48               0
#>                letter.idents groups RNA_snn_res.1 var.aggregate
#> ATGCCAGAACGACT             A     g2             0    0.01322615
#> CATGGCCTGTGCAT             A     g1             0    0.01464857
#> GAACCTGATGAACC             B     g2             0    0.01558293
#> TGACTGGATTCTCA             A     g2             0    0.01512254
#> AGTCAGACTGCACA             A     g2             0    0.01125977
#> TCTGATACACGTGT             A     g1             0    0.01385247