How to Install and Uninstall r-bioc-gsva Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: November 07,2024

1. Install "r-bioc-gsva" package

Please follow the steps below to install r-bioc-gsva on Ubuntu 24.04 LTS (Noble Numbat)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-bioc-gsva
            
                    
    
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2. Uninstall "r-bioc-gsva" package

Please follow the guidelines below to uninstall r-bioc-gsva on Ubuntu 24.04 LTS (Noble Numbat):


    
        
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                sudo apt remove
            
                        
                r-bioc-gsva
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-gsva package on Ubuntu 24.04 LTS (Noble Numbat)

Package: r-bioc-gsva
Architecture: amd64
Version: 1.50.0+ds-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1296
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-s4vectors, r-bioc-iranges, r-bioc-biobase, r-bioc-summarizedexperiment, r-bioc-gseabase, r-cran-matrix (>= 1.5-0), r-bioc-biocparallel, r-bioc-singlecellexperiment, r-bioc-sparsematrixstats, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-hdf5array, r-bioc-biocsingular, libc6 (>= 2.4)
Recommends: r-cran-runit, r-cran-fastmatch
Suggests: r-bioc-biocgenerics, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-limma, r-cran-rcolorbrewer, r-bioc-org.hs.eg.db, r-bioc-genefilter, r-bioc-edger, r-cran-shiny, r-cran-shinydashboard, r-cran-ggplot2, r-cran-data.table, r-cran-plotly, r-cran-future, r-cran-promises, r-cran-shinyjs
Filename: pool/universe/r/r-bioc-gsva/r-bioc-gsva_1.50.0+ds-1_amd64.deb
Size: 1073846
MD5sum: c0f542e5d8cec2ba31d09abaf878773d
SHA1: c9416f96f2fb738a75ea027d98b67ee099af92ba
SHA256: 57062bfe78be74062920eaa99ab3fb60819fb8bf578807b88ee11923708a9538
SHA512: fbcf195caf114f1715a367a742f359929a62361b4eff48f06c64fa6617db49929daa79707eda47674f592d9344b1a349c0194f799a513318a885056f6e389a40
Homepage: https://bioconductor.org/packages/GSVA/
Description: Gene Set Variation Analysis for microarray and RNA-seq data
Description-md5: e85ed23c3444b7c2da17d6196437f0f4