KClustDimension: Perform spectral k-means clustering on single cells

In mayer-lab/SeuratForMayer2018: Seurat : R Toolkit for Single Cell Genomics

Description

Find point clounds single cells in a low-dimensional space using k-means clustering. Can be useful for smaller datasets, where graph-based clustering can perform poorly

Usage

KClustDimension(object, dims.use = c(1, 2), reduction.use = "tsne",
  k.use = 5, set.ident = TRUE, seed.use = 1)

Arguments

object	A Seurat object
dims.use	Dimensions to use for clustering
reduction.use	Dimmensional Reduction to use for k-means clustering
k.use	Number of clusters
set.ident	Set identity of Seurat object
seed.use	Random seed to use

Value

Object with clustering information

mayer-lab/SeuratForMayer2018 documentation built on May 25, 2019, 9:34 p.m.