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EBSeq

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13

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


Bioconductor version: Development (3.24)

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")):

Xiuyu Ma, Ning Leng. EBSeq: An R package for gene and isoform differential expression analysis of RNA-seq data. doi:10.18129/B9.bioc.EBSeq, R package version 2.11.0, https://bioconductor.org/packages/EBSeq.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
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 ManualPDF
NEWSText

Details

biocViews DifferentialExpression, ImmunoOncology, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod
Version2.11.0
In Bioconductor sinceBioC 2.13 (R-3.0) (13 years)
License Artistic-2.0
Depends blockmodeling, gplots, testthat, R (>= 3.0.0)
Imports Rcpp (>= 0.12.11), RcppEigen (>= 0.3.2.9.0), BH
System Requirementsc++14
URL
See More
Suggests
Linking To Rcpp, RcppEigen, BH
Enhances
Depends On Me Oscope
Imports Me BatchQC, broadSeq, DEsubs, scDD, scDDboost
Suggests Me compcodeR
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package EBSeq_2.11.0.tar.gz
Windows Binary (x86_64) EBSeq_2.11.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) EBSeq_2.11.0.tgz
macOS Binary (sonoma-arm64) EBSeq_2.11.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/EBSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/EBSeq
Package Short Url https://bioconductor.org/packages/EBSeq/
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