plot_go_terms {func2vis} | R Documentation |
Bupple Plot for GO Terms
Description
Make a bubble plot for significantly enriched Gene Ontologies (GO) Terms obtained after performing gene set overexpression analysis using 'ConsensusPathDB'.
Usage
plot_go_terms(df_goterms, total_no_background_genes,
negative_log_10_p_value_cutoff, max_overlap)
Arguments
df_goterms |
The tab-separated data frame with the GO terms information obtained after performing gene set overexpression analysis using 'ConsensusPathDB'. |
total_no_background_genes |
Total no of genes in the background set. |
negative_log_10_p_value_cutoff |
The threshold on -log10(pvalue) to be used to identify the GO terms to be highlighted in the plot. |
max_overlap |
To prevent overlapping text, set this paramater to a number >= 20. |
Details
Plots the significantly enriched molecular function (m), cellular components (c) and biological processes (b) obtained via ConsensusPathDB.
Value
Returns a bubble plot of type ggplot.
Note
rmall@hbku.edu.qa
Author(s)
Raghvendra Mall
Examples
data("enriched_goterms")
g <- plot_go_terms(df_goterms = enriched_goterms, negative_log_10_p_value_cutoff=17)
g
[Package func2vis version 1.0-3 Index]