sc_cluster_stability: sc_cluster_stability

In smorabit/scicat:

Description

Compute the stability of your single cell clusters. This is done by sampling a number of cells, reclustering, and computing the intersection of the sampled clusters and the original clusters.

Usage

sc_cluster_stability(seurat_obj, n_cells, n_bootstrap = 10,
  cluster_res = F, reduction = "pca", verbose = F)

Arguments

seurat_obj	A Seurat object where FindClusters has been called.
n_cells	The number of cells to sample
n_bootstrap	The number of iterations to sample. Default to 10
cluster_res	The resolution of clustering that will be computed for sampled data. If not provided, the resolution used in FindClusters will be used.
reduction	The dimensionality reduction for FindNeighbors. Default to pca
verbose	Show more information. Default to FALSE.

Examples

sc_cluster_stability(my_seurat, 10000)

smorabit/scicat documentation built on July 23, 2020, 3:57 a.m.