How to Install and Uninstall r-bioc-gosemsim Package on Kali Linux

Last updated: May 02,2024

1. Install "r-bioc-gosemsim" package

This guide let you learn how to install r-bioc-gosemsim on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall r-bioc-gosemsim on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-gosemsim
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-bioc-gosemsim package on Kali Linux

Package: r-bioc-gosemsim
Version: 2.28.1-1
Installed-Size: 1063
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-annotationdbi, r-bioc-go.db, r-cran-rlang, r-cran-yulab.utils, r-cran-rcpp, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Suggests: r-bioc-annotationhub, r-cran-biocmanager, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-bioc-org.hs.eg.db, r-cran-testthat, r-cran-tidyr, r-cran-tidyselect, r-cran-rocr
Size: 897128
SHA256: ff501da6f59539f27dde3aaa4b41d690f7a654011e0362cb4817dd863b43756b
SHA1: a318fed0ee7e10c0c709d948e1a703d27fb5b917
MD5sum: 46bac316a7beb1ed86a29f18fc742851
Description: GO-terms semantic similarity measures
The semantic comparisons of Gene Ontology (GO) annotations provide
quantitative ways to compute similarities between genes and gene groups,
and have became important basis for many bioinformatics analysis approaches.
GOSemSim is an R package for semantic similarity computation among GO terms,
sets of GO terms, gene products and gene clusters. GOSemSim implemented five
methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively.
Description-md5:
Homepage: https://bioconductor.org/packages/GOSemSim/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-gosemsim/r-bioc-gosemsim_2.28.1-1_amd64.deb