combined_pbmc | R Documentation |
Generated with scRepertoire::combineExpression
. To construct this object
from scratch, try:
scRepertoire::combineExpression(scRepertoire::combineTCR(get(data("contig_list", , package = "scRepertoire")), samples = c("P17B", "P17L", "P18B", , "P18L", "P19B", "P19L", "P20B", "P20L"), removeNA = FALSE, , removeMulti = FALSE, filterMulti = FALSE), get(data("scRep_example", , package = "scRepertoire")), cloneCall = "gene", proportion = TRUE)
data("combined_pbmc")
A Seurat object with the following slots filled
Currently only contains one assay ("RNA" - scRNA-seq expression data)
counts - Raw expression data
data - Normalized expression data
scale.data - Scaled expression data
var.features - names of the current features selected as variable
meta.features - Assay level metadata such as mean and variance
Cell level metadata with a combined TCR contig list from scRepertoire
Current default assay
Current default idents
Neighbor graphs computed, currently stores the SNN
Dimensional reductions: UMAP
Seurat version used to create the object
Command history, including the one used to create this object "combineExpression"
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