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: Release (3.4)

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")):

To install this package, start R and enter:

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

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

biocViews	DifferentialExpression, Microarray, Software
Version	1.6.0
In Bioconductor since	BioC 3.1 (R-3.2) (2 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

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

Package Source	RBM_1.6.0.tar.gz
Windows Binary	RBM_1.6.0.zip
Mac OS X 10.9 (Mavericks)	RBM_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/RBM/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/RBM/
Package Downloads Report	Download Stats

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