stageR
This is the development version of stageR; for the stable release version, see stageR.
stageR: stage-wise analysis of high throughput gene expression data in R
Bioconductor version: Development (3.23)
The stageR package allows automated stage-wise analysis of high-throughput gene expression data. The method is published in Genome Biology at https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1277-0
Author: Koen Van den Berge and Lieven Clement
Maintainer: Koen Van den Berge <koen.vdberge at gmail.com>
Citation (from within R, enter
citation("stageR")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("stageR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | Software, StatisticalMethod |
| Version | 1.33.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (8 years) |
| License | GNU General Public License version 3 |
| Depends | R (>= 3.4), SummarizedExperiment |
| Imports | methods, stats |
| System Requirements | |
| URL |
See More
| Suggests | knitr, rmarkdown, BiocStyle, methods, Biobase, edgeR, limma, DEXSeq, testthat |
| 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 | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/stageR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/stageR |
| Package Short Url | https://bioconductor.org/packages/stageR/ |
| Package Downloads Report | Download Stats |