DEGseq
This is the development version of DEGseq; for the stable release version, see DEGseq.
Identify Differentially Expressed Genes from RNA-seq data
Bioconductor version: Development (3.21)
DEGseq is an R package to identify differentially expressed genes from RNA-Seq data.
Author: Likun Wang <wanglk at pku.edu.cn>, Xiaowo Wang <xwwang at tsinghua.edu.cn> and Xuegong Zhang <zhangxg at tsinghua.edu.cn>.
Maintainer: Likun Wang <wanglk at pku.edu.cn>
citation("DEGseq")):
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("DEGseq")
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("DEGseq")| DEGseq | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, GeneExpression, ImmunoOncology, Preprocessing, RNASeq, Software |
| Version | 1.61.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) (15 years) |
| License | LGPL (>=2) |
| Depends | R (>= 2.8.0), qvalue, methods |
| Imports | graphics, grDevices, methods, stats, utils |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | DEGseq_1.61.0.tar.gz |
| Windows Binary (x86_64) | DEGseq_1.61.0.zip |
| macOS Binary (x86_64) | DEGseq_1.61.0.tgz |
| macOS Binary (arm64) | DEGseq_1.61.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DEGseq |
| Source Repository (Developer Access) | git clone [email protected]:packages/DEGseq |
| Bioc Package Browser | https://code.bioconductor.org/browse/DEGseq/ |
| Package Short Url | https://bioconductor.org/packages/DEGseq/ |
| Package Downloads Report | Download Stats |