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RBM

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


Bioconductor version: Release (3.19)

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 1.36.0
In Bioconductor since BioC 3.1 (R-3.2) (9.5 years)
License GPL (>= 2)
Depends R (>= 3.2.0), limma, marray
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Package Archives

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

Source Package RBM_1.36.0.tar.gz
Windows Binary (x86_64) RBM_1.36.0.zip (64-bit only)
macOS Binary (x86_64) RBM_1.36.0.tgz
macOS Binary (arm64) RBM_1.36.0.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/
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