To install this package, start R and enter:

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

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

geneRecommender

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see geneRecommender.

A gene recommender algorithm to identify genes coexpressed with a query set of genes

Bioconductor version: 3.3

This package contains a targeted clustering algorithm for the analysis of microarray data. The algorithm can aid in the discovery of new genes with similar functions to a given list of genes already known to have closely related functions.

Author: Gregory J. Hather <ghather at stat.berkeley.edu>, with contributions from Art B. Owen <art at stat.stanford.edu> and Terence P. Speed <terry at stat.berkeley.edu>

Maintainer: Greg Hather <ghather at stat.berkeley.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("geneRecommender")

 

PDF R Script Using the geneRecommender Package
PDF   Reference Manual

Details

biocViews Clustering, Microarray, Software
Version 1.44.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 11.5 years)
License GPL (>= 2)
Depends R (>= 1.8.0), Biobase(>= 1.4.22), methods
Imports Biobase, methods, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source geneRecommender_1.44.0.tar.gz
Windows Binary geneRecommender_1.44.0.zip
Mac OS X 10.9 (Mavericks) geneRecommender_1.44.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/geneRecommender/tree/release-3.3
Package Short Url http://bioconductor.org/packages/geneRecommender/
Package Downloads Report Download Stats

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