This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see qsvaR.
Bioconductor version: 3.16
The qsvaR package contains functions for removing the effect of degration in rna-seq data from postmortem brain tissue. The package is equipped to help users generate principal components associated with degradation. The components can be used in differential expression analysis to remove the effects of degradation.
Author: Joshua Stolz [aut, cre] , Leonardo Collado-Torres [ctb]
Maintainer: Joshua Stolz <josh.stolz at libd.org>
Citation (from within R,
enter citation("qsvaR")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("qsvaR")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qsvaR")
HTML | R Script | Introduction to qsvaR |
Reference Manual | ||
Text | NEWS |
biocViews | BiologicalQuestion, Coverage, DifferentialExpression, Normalization, Sequencing, Software, WorkflowStep |
Version | 1.2.0 |
In Bioconductor since | BioC 3.15 (R-4.2) (1 year) |
License | Artistic-2.0 |
Depends | R (>= 4.2), SummarizedExperiment |
Imports | sva, stats, ggplot2, methods |
LinkingTo | |
Suggests | BiocFileCache, BiocStyle, covr, knitr, limma, RefManageR, rmarkdown, sessioninfo, testthat (>= 3.0.0) |
SystemRequirements | |
Enhances | |
URL | https://github.com/LieberInstitute/qsvaR |
BugReports | https://support.bioconductor.org/t/qsvaR |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | qsvaR_1.2.0.tar.gz |
Windows Binary | qsvaR_1.2.0.zip |
macOS Binary (x86_64) | qsvaR_1.2.0.tgz |
macOS Binary (arm64) | qsvaR_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/qsvaR |
Source Repository (Developer Access) | git clone [email protected]:packages/qsvaR |
Bioc Package Browser | https://code.bioconductor.org/browse/qsvaR/ |
Package Short Url | https://bioconductor.org/packages/qsvaR/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: