ABSSeq
This is the development version of ABSSeq; for the stable release version, see ABSSeq.
ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences
Bioconductor version: Development (3.21)
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("ABSSeq")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, Software |
| Version | 1.61.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (10.5 years) |
| License | GPL (>= 3) |
| Depends | R (>= 2.10), methods |
| Imports | locfit, limma |
| System Requirements | |
| URL |
See More
| Suggests | edgeR |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | metaseqR2 |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | ABSSeq_1.61.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/ABSSeq |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ABSSeq |
| Bioc Package Browser | https://code.bioconductor.org/browse/ABSSeq/ |
| Package Short Url | https://bioconductor.org/packages/ABSSeq/ |
| Package Downloads Report | Download Stats |