Seurat (version 3.1.1)

TopFeatures: Find features with highest scores for a given dimensional reduction technique

Description

Return a list of features with the strongest contribution to a set of components

Usage

TopFeatures(object, dim = 1, nfeatures = 20, projected = FALSE,
  balanced = FALSE, ...)

Arguments

object

DimReduc object

dim

Dimension to use

nfeatures

Number of features to return

projected

Use the projected feature loadings

balanced

Return an equal number of features with both + and - scores.

...

Extra parameters passed to Loadings

Value

Returns a vector of features

Examples

# NOT RUN {
pbmc_small
TopFeatures(object = pbmc_small[["pca"]], dim = 1)
# After projection:
TopFeatures(object = pbmc_small[["pca"]], dim = 1,  projected = TRUE)

# }