BCR.top100ClonotypeAbundance: Get the 100 most abundant clonotypes
In scImmuneGraph: Visualize the Basic Characteristics of Single-Cell Immune Repertoire
Description
Usage
Arguments
Value
Examples
View source: R/BCR.top100ClonotypeAbundance.R
Description
Get the 100 most abundant clonotypes
Usage
1
BCR.top100ClonotypeAbundance(contigList, sampleName)
Arguments
contigList
The product of BCR.ContigList().
sampleName
The sample name of single cell sample.
Value
Multiple pictures in the form of a list.
Examples
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project_data_dir <- "F:/R_Language/data/bcr"
sample_name <- list.dirs(project_data_dir, full.names = FALSE, recursive = FALSE)
group_name <- c("A", "A", "B", "B")
contig_list <- BCR.ContigList(project_data_dir, sample_name, group_name)
BasicPlot(BCR.top100ClonotypeAbundance, contig_list, sample_name)
scImmuneGraph documentation built on Dec. 10, 2021, 5:11 p.m.
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Description Usage Arguments Value Examples
View source: R/BCR.top100ClonotypeAbundance.R
Description
Get the 100 most abundant clonotypes
Usage
1 | BCR.top100ClonotypeAbundance(contigList, sampleName)
|
Arguments
contigList |
The product of BCR.ContigList(). |
sampleName |
The sample name of single cell sample. |
Value
Multiple pictures in the form of a list.
Examples
1 2 3 4 5 6 | project_data_dir <- "F:/R_Language/data/bcr"
sample_name <- list.dirs(project_data_dir, full.names = FALSE, recursive = FALSE)
group_name <- c("A", "A", "B", "B")
contig_list <- BCR.ContigList(project_data_dir, sample_name, group_name)
BasicPlot(BCR.top100ClonotypeAbundance, contig_list, sample_name)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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