get_volcano_plot | R Documentation |
Generate a volcano plot.
get_volcano_plot(
x,
sample_comparison,
log2fc_cutoff = 1,
pval_cutoff = 0.05,
genes_to_display = NULL,
lab_size = 3,
point_size = 1,
repair_genes = TRUE,
col_up = "#a40000",
col_down = "#007e2f",
col_other = "grey",
...
)
x |
an abject of class "parcutils". This is an output of the function |
sample_comparison |
a character string denoting a valid differential gene comparison. Possible comparisons can be found from x$de_comparisons. |
log2fc_cutoff |
a numeric value, default 1. |
pval_cutoff |
a numeric value, default 0.05. |
genes_to_display |
a character vector of the genes to display in volcano plot, default NULL, displays non overlapping genes. |
lab_size |
a numeric value, default 3, denoting size of the lables. |
point_size |
a numeric value, default 1, denoting size of the points |
repair_genes |
logical, default |
col_up |
a character string, default "a40000", denoting valid color code for up regulated genes. |
col_down |
a character string, default "007e2f", denoting valid color code for down regulated genes. |
col_other |
a character string, default "grey", denoting valid color code for other than up and down regulated genes. |
... |
other parameters to be passed to |
repair_genes
: Internally gene names are stored as a "gene_id:gene_symbol" format. For example, "ENSG00000187634:SAMD11".
When repair_genes
is set to TRUE
the string corresponding to gene_id followed by ":" will be removed. This is useful when gene names
to be revealed in the volcano plot.
ggplot
count_file <- system.file("extdata","toy_counts.txt" , package = "parcutils")
count_data <- readr::read_delim(count_file, delim = "\t")
sample_info <- count_data %>% colnames() %>% .[-1] %>%
tibble::tibble(samples = . , groups = rep(c("control" ,"treatment1" , "treatment2"), each = 3) )
res <- run_deseq_analysis(counts = count_data ,
sample_info = sample_info,
column_geneid = "gene_id" ,
group_numerator = c("treatment1", "treatment2") ,
group_denominator = c("control"))
get_volcano_plot(res, sample_comparison = res$de_comparisons[1]) %>% print()
get_volcano_plot(res, sample_comparison = res$de_comparisons[2]) %>% print()
get_volcano_plot(res, sample_comparison = res$de_comparisons[2] , genes_to_display = c("THEG","FBXL2","LAMC2","SHF","TSKU"), lab_size = 5) %>% print()
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