To install this package, start R and enter:

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

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

GenRank

DOI: 10.18129/B9.bioc.GenRank    

Candidate gene prioritization based on convergent evidence

Bioconductor version: Release (3.5)

Methods for ranking genes based on convergent evidence obtained from multiple independent evidence layers. This package adapts three methods that are popular for meta-analysis.

Author: Chakravarthi Kanduri

Maintainer: Chakravarthi Kanduri <chakra.kanduri at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script Introduction to GenRank Package
PDF   Reference Manual
Text   NEWS

Details

biocViews CopyNumberVariation, GeneExpression, Genetics, Microarray, SNP, Sequencing, Software
Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License Artistic-2.0
Depends R (>= 3.2.3)
Imports matrixStats, reshape2, survcomp
LinkingTo
Suggests knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL https://github.com/chakri9/GenRank
BugReports https://github.com/chakri9/GenRank/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package GenRank_1.4.0.tar.gz
Windows Binary GenRank_1.4.0.zip
Mac OS X 10.11 (El Capitan) GenRank_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GenRank
Package Short Url http://bioconductor.org/packages/GenRank/
Package Downloads Report Download Stats

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