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: 2022-11-01 22:25:45 UTC; biocbuild Author: Federico Marini [aut, cre] () Maintainer: Federico Marini Built: R 4.2.3; ; 2024-03-22 20:37:45 UTC; unix