Split the immune repertoire data to clusters from single-cell barcodes

Given the vector of barcodes from Seurat, splits the input repertoires to separate subsets following the barcodes' assigned IDs. Useful in case you want to split immune repertoires by patients or clusters.

select_clusters(.data, .clusters, .field = "Cluster")

Arguments

.data

List of two elements "data" and "meta", with "data" being a list of immune repertoires, and "meta" being a metadata table.

.clusters

Factor vector with barcodes as vector names and cluster IDs as vector elements. The output of the Seurat Idents function works.

.field

A string specifying the name of the field in the input metadata. New immune repertoire subsets will have cluster IDs in this field.

Value

A list with two elements "data" and "meta" with updated immune repertoire tables and metadata.

See also

select_barcodes

Examples

if (FALSE) {
library(Seurat)
Idents(pbmc_small)
new_cluster_ids <- c("A", "B", "C")
new_cluster_ids <- levels(pbmc_small)
new_cluster_ids
pbmc_small <- RenameIdents(pbmc_small, new_cluster_ids)
}