Menu

RBM

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


Bioconductor version: Release (3.20)

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 "4.4") 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")
RBM PDF R Script
Reference Manual PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.38.0
In Bioconductor since BioC 3.1 (R-3.2) (9.5 years)
License GPL (>= 2)
Depends R (>= 3.2.0), limma, marray
Imports
System Requirements
URL
See More
Suggests
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package RBM_1.38.0.tar.gz
Windows Binary (x86_64) RBM_1.38.0.zip (64-bit only)
macOS Binary (x86_64) RBM_1.38.0.tgz
macOS Binary (arm64) RBM_1.38.0.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