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qsvaR

Generate Quality Surrogate Variable Analysis for Degradation Correction

Bioconductor version: 3.23 · Package version: 1.16.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("qsvaR")

Details

MaintainerNicholas J. Eagles <nickeagles77@gmail.com>
AuthorJoshua Stolz [aut] (ORCID: <https://orcid.org/0000-0001-5694-5247>), Hedia Tnani [ctb] (ORCID: <https://orcid.org/0000-0002-0380-9740>), Leonardo Collado-Torres [ctb] (ORCID: <https://orcid.org/0000-0003-2140-308X>), Nicholas J. Eagles [aut, cre] (ORCID: <https://orcid.org/0000-0002-9808-5254>)
LicenseArtistic-2.0
URLhttps://github.com/LieberInstitute/qsvaR
Bug Reportshttps://support.bioconductor.org/t/qsvaR
Downloads rank240
Source branchRELEASE_3_23
biocViewsBiologicalQuestion, Coverage, DifferentialExpression, Normalization, Sequencing, Software, WorkflowStep

Documentation

Download

Dependencies

Depends: R (>= 4.2), SummarizedExperiment

Imports: dplyr, sva, stats, ggplot2, rlang, methods

Suggests: BiocFileCache, BiocStyle, covr, knitr, limma, RefManageR, rmarkdown, sessioninfo, testthat (>= 3.0.0)