Package: pcaExplorer
Type: Package
Title: Interactive Visualization of RNA-seq Data Using a Principal
        Components Approach
Version: 2.24.0
Date: 2022-09-07
Authors@R: c(person("Federico", "Marini", role = c("aut", "cre"), 
    email ="marinif@uni-mainz.de", 
    comment = c(ORCID = '0000-0003-3252-7758')))
Description: This package provides functionality for interactive visualization 
    of RNA-seq datasets based on Principal Components Analysis. The methods provided
    allow for quick information extraction and effective data exploration. A Shiny
    application encapsulates the whole analysis.
License: MIT + file LICENSE
Imports: DESeq2, SummarizedExperiment, GenomicRanges, IRanges,
        S4Vectors, genefilter, ggplot2 (>= 2.0.0), heatmaply, plotly,
        scales, NMF, plyr, topGO, limma, GOstats, GO.db, AnnotationDbi,
        shiny (>= 0.12.0), shinydashboard, shinyBS, ggrepel, DT,
        shinyAce, threejs, biomaRt, pheatmap, knitr, rmarkdown,
        base64enc, tidyr, grDevices, methods
Suggests: testthat, BiocStyle, airway, org.Hs.eg.db, htmltools
URL: https://github.com/federicomarini/pcaExplorer,
        https://federicomarini.github.io/pcaExplorer/
BugReports: https://github.com/federicomarini/pcaExplorer/issues
biocViews: ImmunoOncology, Visualization, RNASeq, DimensionReduction,
        PrincipalComponent, QualityControl, GUI, ReportWriting
VignetteBuilder: knitr
RoxygenNote: 7.2.1
Encoding: UTF-8
NeedsCompilation: no
git_url: https://git.bioconductor.org/packages/pcaExplorer
git_branch: RELEASE_3_16
git_last_commit: 15ff062
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
Packaged: 2022-11-02 02:12:56 UTC; biocbuild
Author: Federico Marini [aut, cre] (<https://orcid.org/0000-0003-3252-7758>)
Maintainer: Federico Marini <marinif@uni-mainz.de>
Built: R 4.2.1; ; 2022-11-02 14:04:35 UTC; windows
