RUVcorr
This is the development version of RUVcorr; for the stable release version, see RUVcorr.
Removal of unwanted variation for gene-gene correlations and related analysis
Bioconductor version: Development (3.21)
RUVcorr allows to apply global removal of unwanted variation (ridged version of RUV) to real and simulated gene expression data.
Author: Saskia Freytag
Maintainer: Saskia Freytag <saskia.freytag at perkins.uwa.edu.au>
Citation (from within R, enter
citation("RUVcorr")):
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("RUVcorr")
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("RUVcorr")| Vignette | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GeneExpression, Normalization, Software |
| Version | 1.39.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (9.5 years) |
| License | GPL-2 |
| Depends | |
| Imports | corrplot, MASS, stats, lattice, grDevices, gridExtra, snowfall, psych, BiocParallel, grid, bladderbatch, reshape2, graphics |
| System Requirements | |
| URL |
See More
| Suggests | knitr, hgu133a2.db, rmarkdown |
| 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 | RUVcorr_1.39.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/RUVcorr |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RUVcorr |
| Bioc Package Browser | https://code.bioconductor.org/browse/RUVcorr/ |
| Package Short Url | https://bioconductor.org/packages/RUVcorr/ |
| Package Downloads Report | Download Stats |