To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("KEGGprofile")

In most cases, you don't need to download the package archive at all.

KEGGprofile

   

This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see KEGGprofile.

An annotation and visualization package for multi-types and multi-groups expression data in KEGG pathway

Bioconductor version: 3.1

KEGGprofile is an annotation and visualization tool which integrated the expression profiles and the function annotation in KEGG pathway maps. The multi-types and multi-groups expression data can be visualized in one pathway map. KEGGprofile facilitated more detailed analysis about the specific function changes inner pathway or temporal correlations in different genes and samples.

Author: Shilin Zhao, Yan Guo, Yu Shyr

Maintainer: Shilin Zhao <shilin.zhao at vanderbilt.edu>

Citation (from within R, enter citation("KEGGprofile")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("KEGGprofile")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("KEGGprofile")

 

PDF R Script KEGGprofile: Application Examples
PDF   Reference Manual
Text   NEWS

Details

biocViews KEGG, Pathways, Software
Version 1.10.0
In Bioconductor since BioC 2.11 (R-2.15) (3.5 years)
License GPL (>= 2)
Depends
Imports AnnotationDbi, png, TeachingDemos, XML, KEGG.db, KEGGREST, biomaRt
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me FGNet
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source KEGGprofile_1.10.0.tar.gz
Windows Binary KEGGprofile_1.10.0.zip
Mac OS X 10.6 (Snow Leopard) KEGGprofile_1.10.0.tgz
Mac OS X 10.9 (Mavericks) KEGGprofile_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/KEGGprofile/tree/release-3.1
Package Short Url http://bioconductor.org/packages/KEGGprofile/
Package Downloads Report Download Stats

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