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Disease Ontology Semantic and Enrichment analysis

This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data.

For enrichment analysis, a discussion forum can be found at https://groups.google.com/forum/#!forum/clusterprofiler.

Authors

Guangchuang YU, School of Public Health, The University of Hong Kong http://guangchuangyu.github.io

Citation

Please cite the following article when using DOSE:

Yu G, Wang L, Yan G and He Q.
DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment analysis.
Bioinformatics, 2015, 31(4):608-609.

URL: http://bioinformatics.oxfordjournals.org/cgi/content/abstract/btu684

License

All source code is copyright, under the Artistic-2.0 License. For more information on Artistic-2.0 License see http://opensource.org/licenses/Artistic-2.0

Installation

To install:

  • the latest released version: biocLite("DOSE")
  • the latest development version: devtools::install_github("GuangchuangYu/DOSE")

Documentation

To view the vignette of DOSE installed in your system, start R and enter:

vignette("DOSE", package="DOSE")

More documents can be found in http://www.bioconductor.org/packages/GOSemSim, http://www.bioconductor.org/packages/clusterProfiler and http://guangchuangyu.github.io/tags/dose.

Bugs/Feature requests

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Version

Version

2.10.6

License

Artistic-2.0

Maintainer

Last Published

February 15th, 2017

Functions in DOSE (2.10.6)

computeIC

compute information content
netplot

netplot
DataSet

Datasets
plot

plot method
setReadable

setReadable
setting.graph.attributes

setting.graph.attributes
dotplot

dotplot method
enricher_internal

enrich.internal
enrichMap

enrichMap
enrichDO

DO Enrichment Analysis
gseaplot

visualize analyzing result of GSEA
gseaResult-class

Class "gseaResult" This class represents the result of GSEA analysis
summary

summary method
theme_dose

theme_dose
cnetplot_internal

cnetplot_internal
cnetplot

cnetplot method
enrichNCG

enrichNCG
barplot.enrichResult

barplot
fortify.gseaResult

fortify.gseaResult
clusterSim

clusterSim
gene2DO

convert Gene ID to DO Terms
gsfilter

gsfilter
list2graph

convert gene IDs to igraph object
enrichResult-class

Class "enrichResult" This class represents the result of enrichment analysis.
gseDO

DO Gene Set Enrichment Analysis
gseNCG

NCG Gene Set Enrichment Analysis
show

show method
simplot

simplot
DOSE-package

Disease Ontology Semantic and Enrichment analysis Implemented five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring DO semantic similarities, and hypergeometric test for enrichment analysis.
doSim

doSim
geneSim

geneSim
GSEA_internal

GSEA_internal
upsetplot

upsetplot method
EXTID2NAME

EXTID2NAME
fortify.enrichResult

fortify
mclusterSim

mclusterSim
rebuildAnnoData

rebuiding annotation data
load_OrgDb

load_OrgDb
scaleNodeColor

scaleNodeColor