seurat_cluster_wrapper: A resTuner-compatible wrapper function for clustering using...

In kbrulois/Dufy: A set of tools and algorithms for reducing the size of large datasets in a density-aware manner

A resTuner-compatible wrapper function for clustering using Seurat

Description

A resTuner-compatible wrapper function for clustering using Seurat

Usage

seurat_cluster_wrapper(input_data, .resolution = 0.05, k = 5, ...)

Arguments

input_data	A matrix where features correspond to rows and cells correspond to columns.
k	The number of rounds of clusterings to perform. Default: 5.
...	Arguments passed to Seurat::FindClusters
resolution	Either a positive integer specifying the exact number of clusters desired or a vector of length two specifying range.

Value

A vector of length ncol(input_data) containing cluster assignments.

Author(s)

Kevin Brulois

kbrulois/Dufy documentation built on May 4, 2022, 3:54 a.m.