TopCells: Find cells with highest scores for a given dimensional...

In satijalab/seurat: Tools for Single Cell Genomics

Find cells with highest scores for a given dimensional reduction technique

Description

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

Usage

TopCells(object, dim = 1, ncells = 20, balanced = FALSE, ...)

Arguments

object	DimReduc object
dim	Dimension to use
ncells	Number of cells to return
balanced	Return an equal number of cells with both + and - scores.
...	Extra parameters passed to Embeddings

Value

Returns a vector of cells

Examples

data("pbmc_small")
pbmc_small
head(TopCells(object = pbmc_small[["pca"]]))
# Can specify which dimension and how many cells to return
TopCells(object = pbmc_small[["pca"]], dim = 2, ncells = 5)

satijalab/seurat documentation built on May 11, 2024, 4:04 a.m.