How to Install and Uninstall r-bioc-gsva Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: December 23,2024

1. Install "r-bioc-gsva" package

Please follow the instructions below to install r-bioc-gsva on Ubuntu 22.10 (Kinetic Kudu)


    
        
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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 guidance below to uninstall r-bioc-gsva on Ubuntu 22.10 (Kinetic Kudu):


    
        
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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 22.10 (Kinetic Kudu)

Package: r-bioc-gsva
Architecture: amd64
Version: 1.44.2+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: 910
Depends: r-base-core (>= 4.2.0-1ubuntu1), r-api-4.0, r-api-bioc-3.15, r-bioc-s4vectors, r-bioc-iranges, r-bioc-biobase, r-bioc-summarizedexperiment, r-bioc-gseabase, r-cran-matrix, 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_1.44.2+ds-1_amd64.deb
Size: 779442
MD5sum: c4ae44d7d4bef484ceaa8edff6c5288a
SHA1: d956fbf4c36c5d01df155d8f504b162cf22ba8d4
SHA256: b81d32d4fd37ae06c8694947213a28be0eb8ea25cea769edd1fc9aebc7d9f1e1
SHA512: 39ed4874d1f1833f0a784d75d007c03f5bff19ccbb7827f2602e3c6e88771777e94a4486a78fd0af07397176366fbd82d45104790bbaeac3adb1c900fb68720e
Homepage: https://bioconductor.org/packages/GSVA/
Description: Gene Set Variation Analysis for microarray and RNA-seq data
Description-md5: e85ed23c3444b7c2da17d6196437f0f4