MetaFeature: Aggregate expression of multiple features into a single...
In atakanekiz/Seurat3.0: Tools for Single Cell Genomics

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

1 2	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

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

atakanekiz/Seurat3.0 documentation built on May 26, 2019, 2:33 a.m.

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