Package: qsvaR
Title: Generate Quality Surrogate Variable Analysis for Degradation
        Correction
Version: 1.6.0
Date: 2023-06-27
Authors@R: 
    c(
    person("Joshua", "Stolz", email = "jstolz80@gmail.com",
        role = c("aut"),
        comment = c(ORCID = "0000-0001-5694-5247")),
	person("Hedia", "Tnani", email = "hediatnani0@gmail.com",
	    role = c("ctb", "cre"),
	    comment = c(ORCID = "0000-0002-0380-9740")),
    person("Leonardo", "Collado-Torres", role = c("ctb"),
    email = "lcolladotor@gmail.com", comment = c(ORCID = "0000-0003-2140-308X"))
    )
Description: 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.
License: Artistic-2.0
URL: https://github.com/LieberInstitute/qsvaR
BugReports: https://support.bioconductor.org/t/qsvaR
biocViews: Software, WorkflowStep, Normalization, BiologicalQuestion,
        DifferentialExpression, Sequencing, Coverage
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: BiocFileCache, BiocStyle, covr, knitr, limma, RefManageR,
        rmarkdown, sessioninfo, testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: sva, stats, ggplot2, methods
Depends: R (>= 4.2), SummarizedExperiment
LazyData: true
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/qsvaR
git_branch: RELEASE_3_18
git_last_commit: c2cf2d7
git_last_commit_date: 2023-10-24
Date/Publication: 2023-10-26
NeedsCompilation: no
Packaged: 2023-10-27 09:40:32 UTC; biocbuild
Author: Joshua Stolz [aut] (<https://orcid.org/0000-0001-5694-5247>),
  Hedia Tnani [ctb, cre] (<https://orcid.org/0000-0002-0380-9740>),
  Leonardo Collado-Torres [ctb] (<https://orcid.org/0000-0003-2140-308X>)
Maintainer: Hedia Tnani <hediatnani0@gmail.com>
Built: R 4.3.1; ; 2023-10-28 19:20:44 UTC; unix
