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ABSSeq

This is the released version of ABSSeq; for the devel version, see ABSSeq.

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

ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences


Bioconductor version: Release (3.23)

Inferring differential expression genes by absolute counts difference between two groups, utilizing Negative binomial distribution and moderating fold-change according to heterogeneity of dispersion across expression level.

Author: Wentao Yang

Maintainer: Wentao Yang <wyang at zoologie.uni-kiel.de>

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

Wentao Yang. ABSSeq: ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences. doi:10.18129/B9.bioc.ABSSeq, R package version 1.66.0, https://bioconductor.org/packages/ABSSeq.

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")

BiocManager::install("ABSSeq")

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("ABSSeq")
ABSSeq PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews DifferentialExpression, Software
Version1.66.0
In Bioconductor sinceBioC 2.14 (R-3.1) (12.5 years)
License GPL (>= 3)
Depends R (>= 2.10), methods
Imports locfit, limma
System Requirements
URL
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Suggests edgeR
Linking To
Enhances
Depends On Me
Imports Me metaseqR2
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package ABSSeq_1.66.0.tar.gz
Windows Binary (x86_64) ABSSeq_1.66.0.zip
macOS Binary (big-sur-x86_64) ABSSeq_1.66.0.tgz
macOS Binary (sonoma-arm64) ABSSeq_1.66.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ABSSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ABSSeq
Package Short Url https://bioconductor.org/packages/ABSSeq/
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