plot_correlations: plot_correlations

In ReactomeGSA: Client for the Reactome Analysis Service for comparative multi-omics gene set analysis

Description

Plots correlations of the average fold-changes of all pathways between the different datasets. This function is only available to GSA based results (not GSVA ones).

Usage

plot_correlations(x, hide_non_sig = FALSE)

Arguments

x	ReactomeAnalysisResult. The result object to use as input
hide_non_sig	If set, non-significant pathways are not shown.

Value

A list of ggplot2 plot objects representing one plot per combination

See Also

Other ReactomeAnalysisResult functions: get_result(), names,ReactomeAnalysisResult-method, open_reactome(), pathways(), plot_gsva_heatmap(), plot_gsva_pathway(), plot_volcano(), reactome_links(), result_types()

Examples

# load an example result
library(ReactomeGSA.data)
data(griss_melanoma_result)

# create the correlation plots
plot_objs <- plot_correlations(griss_melanoma_result)

# only one plot created for this result as it contains two datasets
length(plot_objs)

# show the plot using `print(plot_objs[[1]])`

ReactomeGSA documentation built on April 17, 2021, 6:01 p.m.