RBM

DOI:10.18129/B9.bioc.RBM

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, seeRBM.

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

Bioconductor version: 3.10

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

Citation (from within R, entercitation("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 appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("RBM")

PDF R Script RBM
PDF Reference Manual

Details

biocViews DifferentialExpression,Microarray,Software
Version 1.18.0
In Bioconductor since BioC 3.1 (R-3.2) (5 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

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package RBM_1.18.0.tar.gz
Windows Binary RBM_1.18.0.zip(32- & 64-bit)
Mac OS X 10.11 (El Capitan) RBM_1.18.0.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 //www.andersvercelli.com/packages/RBM/
Package Downloads Report Download Stats

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