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Visualization of Functional Enrichment Result

The ‘enrichplot’ package implements several visualization methods for interpreting functional enrichment results obtained from ORA or GSEA analysis. All the visualization methods are developed based on ‘ggplot2’ graphics.

For details, please visit https://yulab-smu.top/biomedical-knowledge-mining-book/.

:writing_hand: Authors

Guangchuang YU https://guangchuangyu.github.io

School of Basic Medical Sciences, Southern Medical University

:arrow_double_down: Installation

Get the released version from Bioconductor:

## try http:// if https:// URLs are not supported
if (!requireNamespace("BiocManager", quietly=TRUE))
    install.packages("BiocManager")
## BiocManager::install("BiocUpgrade") ## you may need this
BiocManager::install("enrichplot")

Or the development version from github:

## install.packages("devtools")
devtools::install_github("YuLab-SMU/enrichplot")

:sparkling_heart: Contributing

We welcome any contributions! By participating in this project you agree to abide by the terms outlined in the Contributor Code of Conduct.

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Version

Version

1.13.1.994

License

Artistic-2.0

Maintainer

Guangchuang Yu

Last Published

September 1st, 2021

Functions in enrichplot (1.13.1.994)

goplot

goplot
fortify.compareClusterResult

fortify
emapplot

emapplot
dotplot

dotplot
barplot.enrichResult

barplot
ggtable

ggtable
gsInfo

gsInfo
emapplot_cluster

Functional grouping network diagram for enrichment result of over-representation test or gene set enrichment analysis
color_palette

color_palette
cnetplot

cnetplot
heatplot

heatplot
pmcplot

pmcplot
plotting.clusterProfile

plotting-clusterProfile
reexports

Objects exported from other packages
ridgeplot

ridgeplot
gseadist

gseadist
gseaplot

gseaplot
pairwise_termsim

pairwise_termsim
treeplot

treeplot
gseaplot2

gseaplot2
gsearank

gsearank
upsetplot

upsetplot method