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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

License

Artistic-2.0

Maintainer

Guangchuang Yu

Last Published

September 1st, 2021

Functions in enrichplot (1.13.1)

emapplot_cluster

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

dotplot
goplot

goplot
ggtable

ggtable
fortify.compareClusterResult

fortify
emapplot

emapplot
plotting.clusterProfile

plotting-clusterProfile
gsInfo

gsInfo
color_palette

color_palette
barplot.enrichResult

barplot
gseaplot2

gseaplot2
reexports

Objects exported from other packages
cnetplot

cnetplot
gsearank

gsearank
ridgeplot

ridgeplot
heatplot

heatplot
pmcplot

pmcplot
pairwise_termsim

pairwise_termsim
gseaplot

gseaplot
gseadist

gseadist
upsetplot

upsetplot method
treeplot

treeplot