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# A visualization tool to depict proportions of immune cells in any tumor
# relative to the average expression of any gene (or signature).
########## Environment setting ##########
algorithm <- "Cibersort_ABS"
disease <- "breast invasive carcinoma"
gene_x <- "ICOS"
tissue <- "Primary Tumor"
path <- system.file("extdata", package = "tcgaViz")
########## Dataset loading ##########
message("TCGA loading in progess...")
load(file.path(path, "tcga.rda"))
# Data formatting
df <- convert2biodata(algorithm, disease, tissue, gene_x, stat = "mean")
# Add corrected tests
stats <- calculate_pvalue(
df,
method_test = "wilcox_test",
method_adjust = "BH",
p_threshold = 0.05
)
# Plot the cell subtypes according to the gene expression level
plot(df, stats = stats, type = "violin", dots = FALSE)
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