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

Description Usage Arguments

View source: R/exploratory_pipeline.R

Description

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

Usage

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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.