qsvaR
This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see qsvaR.
Generate Quality Surrogate Variable Analysis for Degradation Correction
Bioconductor version: 3.21
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 iD ORCID: 0000-0001-5694-5247 , Hedia Tnani [ctb, cre] ORCID iD ORCID: 0000-0002-0380-9740 , Leonardo Collado-Torres [ctb] ORCID iD ORCID: 0000-0003-2140-308X , Nicholas J. Eagles [aut] ORCID iD ORCID: 0000-0002-9808-5254
Maintainer: Hedia Tnani <hediatnani0 at gmail.com>
citation("qsvaR")):
Installation
To install this package, start R (version "4.5") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qsvaR")
Details
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Follow Installation instructions to use this package in your R session.