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

DOI: 10.18129/B9.bioc.RBM    

This is the development version of RBM; for the stable release version, see RBM.

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

Bioconductor version: Development (3.6)

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 R Script RBM
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.9.0
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
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.

Source Package RBM_1.9.0.tar.gz
Windows Binary RBM_1.9.0.zip
Mac OS X 10.11 (El Capitan) RBM_1.9.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RBM
Package Short Url http://bioconductor.org/packages/RBM/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: