To install this package, start R and enter:

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

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

RBM

   

RBM: a R package for microarray and RNA-Seq data analysis

Bioconductor version: 3.2

Use A Resampling-Based Empirical Bayes Approach to Assess Differential Expression in Two-Color Microarrays and RNA-Seq data sets.

Author: Dongmei Li and Chin-Yuan Liang

Maintainer: Dongmei Li <Dongmei_Li at urmc.rochester.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("RBM")

 

PDF RBM
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.2.0
In Bioconductor since BioC 3.1 (R-3.2) (1 year)
License GPL (>= 2)
Depends R (>= 3.2.0), limma, marray
Imports
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 RBM_1.2.0.tar.gz
Windows Binary RBM_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) RBM_1.2.0.tgz
Mac OS X 10.9 (Mavericks) RBM_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/RBM/tree/release-3.2
Package Short Url http://bioconductor.org/packages/RBM/
Package Downloads Report Download Stats

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