qsvaR (original) (raw)

This is the released version of qsvaR; for the devel version, seeqsvaR.

Generate Quality Surrogate Variable Analysis for Degradation Correction

Bioconductor version: Release (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: 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

Citation (from within R, enter 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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Package Archives

Follow Installation instructions to use this package in your R session.