clonalOccupy | R Documentation |
View the count of clones frequency group in Seurat or SCE object
meta data after combineExpression()
. The visualization
will take the new meta data variable "cloneSize" and
plot the number of cells with each designation using a secondary
variable, like cluster. Credit to the idea goes to Drs. Carmona
and Andreatta and their work with ProjectTIL.
clonalOccupy(
sc.data,
x.axis = "ident",
label = TRUE,
facet.by = NULL,
order.by = NULL,
proportion = FALSE,
na.include = FALSE,
exportTable = FALSE,
palette = "inferno"
)
sc.data |
The single-cell object after |
x.axis |
The variable in the meta data to graph along the x.axis. |
label |
Include the number of clone in each category by x.axis variable |
facet.by |
The column header used for faceting the graph |
order.by |
A vector of specific plotting order or "alphanumeric" to plot groups in order description |
proportion |
Convert the stacked bars into relative proportion |
na.include |
Visualize NA values or not |
exportTable |
Exports a table of the data into the global environment in addition to the visualization |
palette |
Colors to use in visualization - input any hcl.pals |
Stacked bar plot of counts of cells by clone frequency group
#Getting the combined contigs
combined <- combineTCR(contig_list,
samples = c("P17B", "P17L", "P18B", "P18L",
"P19B","P19L", "P20B", "P20L"))
#Getting a sample of a Seurat object
scRep_example <- get(data("scRep_example"))
#Using combineExpresion()
scRep_example <- combineExpression(combined, scRep_example)
#Using clonalOccupy
clonalOccupy(scRep_example, x.axis = "ident")
table <- clonalOccupy(scRep_example, x.axis = "ident", exportTable = TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.