RBM

DOI: 10.18129/B9.bioc.RBM  

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

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("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	1.30.0
In Bioconductor since	BioC 3.1 (R-3.2) (8 years)
License	GPL (>= 2)
Depends	R (>= 3.2.0), limma, marray
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	RBM_1.30.0.tar.gz
Windows Binary	RBM_1.30.0.zip
macOS Binary (x86_64)	RBM_1.30.0.tgz
macOS Binary (arm64)	RBM_1.30.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/RBM
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/RBM
Bioc Package Browser	https://code.bioconductor.org/browse/RBM/
Package Short Url	https://bioconductor.org/packages/RBM/
Package Downloads Report	Download Stats