DEGseq
This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see DEGseq.
Identify Differentially Expressed Genes from RNA-seq data
Bioconductor version: 3.16
DEGseq is an R package to identify differentially expressed genes from RNA-Seq data.
Author: Likun Wang <wanglk at hsc.pku.edu.cn> and Xi Wang <wang-xi05 at mails.tsinghua.edu.cn>.
Maintainer: Likun Wang <wanglk at hsc.pku.edu.cn>
Citation (from within R, enter
citation("DEGseq")):
Installation
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | 1.52.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) (14.5 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_1.52.0.tar.gz |
| Windows Binary | DEGseq_1.52.0.zip (64-bit only) |
| macOS Binary (x86_64) | DEGseq_1.52.0.tgz |
| macOS Binary (arm64) | DEGseq_1.52.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DEGseq |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DEGseq |
| Bioc Package Browser | https://code.bioconductor.org/browse/DEGseq/ |
| Package Short Url | https://bioconductor.org/packages/DEGseq/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.16 | Source Archive |