This is the development version of qsvaR; for the stable release version, see qsvaR.
Generate Quality Surrogate Variable Analysis for Degradation CorrectionBioconductor version: Development (3.22)
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] ORCID: 0000-0001-5694-5247 , Hedia Tnani [ctb, cre] ORCID: 0000-0002-0380-9740 , Leonardo Collado-Torres [ctb] ORCID: 0000-0003-2140-308X , Nicholas J. Eagles [aut] ORCID: 0000-0002-9808-5254
Maintainer: Hedia Tnani <hediatnani0 at gmail.com>
Citation (from within R, entercitation("qsvaR")): 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("qsvaR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qsvaR")Follow Installation instructions to use this package in your R session.
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