RBM

DOI: 10.18129/B9.bioc.RBM    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see RBM.

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

Bioconductor version: 3.9

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 (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RBM")

For older versions of R, please refer to the appropriate Bioconductor release.

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 1.16.0
In Bioconductor since BioC 3.1 (R-3.2) (4.5 years)
License GPL (>= 2)
Depends R (>= 3.2.0), limma, marray
Imports
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Depends On Me
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Build Report  

Package Archives

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

Source Package RBM_1.16.0.tar.gz
Windows Binary RBM_1.16.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) RBM_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RBM
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RBM
Package Short Url https://bioconductor.org/packages/RBM/
Package Downloads Report Download Stats

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