ClusterBag: Apply a bagged clustering procedure to a Seurat object using...

In maehrlab/thymusatlastools: Tools for analysis of single-cell transcriptomic data

Description

Apply a bagged clustering procedure to a Seurat object using PCA as input.

Usage

ClusterBag(dge, k, num_pc = NULL, feature_names = NULL, my_seed = 100,
  B = 100, ...)

Arguments

dge	A Seurat object.
k	Number of clusters. (Some may end up empty.)
num_pc	Number of PC's to use from dge. Specify this or feature_names, not both. Default 25.
feature_names	Fetched via FetchData as input. Specify this or num_pc, not both. Default unused.
my_seed	RNG seed.
B	Number of bootstrap replicates.
...	Additional args passed to clue::cl_bag.

maehrlab/thymusatlastools documentation built on May 28, 2019, 2:32 a.m.