TopFeatures: Find features with highest scores for a given dimensional...

In atakanekiz/Seurat3.0: Tools for Single Cell Genomics

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

pbmc_small
TopFeatures(object = pbmc_small[["pca"]], dim = 1)
# After projection:
TopFeatures(object = pbmc_small[["pca"]], dim = 1,  projected = TRUE)

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