cluster_subsets: Clustering binary classified results

In desmchoy/BinaryClust: CyTOF Analysis Pipeline Using Binary Classification Followed by Clustering

Clustering binary classified results

Description

This function clusters cells individually for each user-definied cell type. Returns a data frame.

Usage

cluster_subsets(
  data = NULL,
  binary.results = NULL,
  method = "kmeans",
  no_of_clusters = 40
)

Arguments

data	(Required) Data in data frame format. Expects results from load_data
binary.results	(Required) Cell type results in data frame format. Expects results from binary_class
method	Clustering method. k-means (Default) or FlowSOM
no_of_clusters	Default: 40

Examples

cluster.results <- cluster_subsets(data, binary.results)
cluster.results <- cluster_subsets(data, binary.results, method = 'FlowSOM')

desmchoy/BinaryClust documentation built on Sept. 14, 2024, 12:03 a.m.