How to Install and Uninstall r-bioc-limma Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 06,2024

1. Install "r-bioc-limma" package

Please follow the guidance below to install r-bioc-limma on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-limma
            
                    
    
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2. Uninstall "r-bioc-limma" package

Learn how to uninstall r-bioc-limma on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-bioc-limma
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-limma package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-limma
Architecture: amd64
Version: 3.46.0+dfsg-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: 2069
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, libc6 (>= 2.4)
Recommends: r-cran-mass, r-cran-statmod (>= 1.2.2), r-bioc-go.db, r-bioc-org.hs.eg.db, r-cran-locfit
Suggests: r-bioc-affy, r-bioc-annotationdbi, r-cran-biasedurn, r-bioc-biobase, r-cran-ellipse, r-cran-gplots
Filename: pool/universe/r/r-bioc-limma/r-bioc-limma_3.46.0+dfsg-1_amd64.deb
Size: 1709636
MD5sum: c5453396a68684aeb184609088d856a9
SHA1: c3e736f27e81596c5a6c696603dcda8d81fcb27a
SHA256: 99ee80deb403b5a42ed2fa6a6cc590e0666531ac0ff9cefc0f68370063ddac41
SHA512: 7fcdc3ea32121bc3239ce4911f047aba3a88046b065a2a6ed8bb0b0e62aae7908028c8d476c602d25dde67538dff42e9ec48f5b023b7d7fba4c2ca953b148062
Homepage: https://bioconductor.org/packages/limma/
Description-en: linear models for microarray data
Microarrays are microscopic plates with carefully arranged short DNA
strands and/or chemically prepared surfaces to which other DNA
preferably binds. The amount of DNA binding at different locations of
these chips, typically determined by a fluorescent dye, is to be
interpreted. The technology is typically used with DNA that is derived
from RNA, i.e to determine the activity of a gene and/or its splice
variants. But the technology is also used to determine sequence
variations in genomic DNA.
.
This Bioconductor package supports the analysis of gene expression
microarray data, especially the use of linear models for analysing
designed experiments and the assessment of differential expression. The
package includes pre-processing capabilities for two-colour spotted
arrays. The differential expression methods apply to all array platforms
and treat Affymetrix, single channel and two channel experiments in a
unified way.
Description-md5: 7d3dc8b6f314fb098c2f22280dac3f37