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EBSeq

This is the development version of EBSeq; for the stable release version, see EBSeq.

An R package for gene and isoform differential expression analysis of RNA-seq data


Bioconductor version: Development (3.19)

Differential Expression analysis at both gene and isoform level using RNA-seq data

Author: Xiuyu Ma [cre, aut], Ning Leng [aut], Christina Kendziorski [ctb], Michael A. Newton [ctb]

Maintainer: Xiuyu Ma <watsonforfun at gmail.com>

Citation (from within R, enter citation("EBSeq")):

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("EBSeq")

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("EBSeq")
EBSeq Vignette PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, ImmunoOncology, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod
Version 2.1.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License Artistic-2.0
Depends blockmodeling, gplots, testthat, R (>= 3.0.0)
Imports Rcpp (>= 0.12.11), RcppEigen (>= 0.3.2.9.0)
System Requirements c++11
URL
See More
Suggests
Linking To Rcpp, RcppEigen, BH
Enhances
Depends On Me EBSeqHMM, Oscope
Imports Me DEsubs, scDD, scDDboost
Suggests Me compcodeR
Links To Me
Build Report Build Report

Package Archives

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

Source Package EBSeq_2.1.0.tar.gz
Windows Binary EBSeq_2.1.0.zip (64-bit only)
macOS Binary (x86_64) EBSeq_2.1.0.tgz
macOS Binary (arm64) EBSeq_2.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EBSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EBSeq
Bioc Package Browser https://code.bioconductor.org/browse/EBSeq/
Package Short Url https://bioconductor.org/packages/EBSeq/
Package Downloads Report Download Stats