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

Last updated: January 26,2025

1. Install "r-bioc-mergeomics" package

This guide covers the steps necessary to install r-bioc-mergeomics on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-bioc-mergeomics on Ubuntu 21.10 (Impish Indri):


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

Package: r-bioc-mergeomics
Architecture: all
Version: 1.18.0-1
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: 8795
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12
Recommends: r-cran-runit, r-bioc-biocgenerics
Filename: pool/universe/r/r-bioc-mergeomics/r-bioc-mergeomics_1.18.0-1_all.deb
Size: 2725540
MD5sum: 1f131132120ac0efabab15bc8d84f7aa
SHA1: 7c09b00342d9ec107b15a5725bc194ae46a76938
SHA256: ad5424f0297d755cf77e4c6ee97d52e8a5c0a0124970dbd69b625bc7ccf087fd
SHA512: bafc6a28ed85a0e65d74f67707a9e27b615dad86cd64ebf533e5b86226bcaf1bff66e96b8d6394826c8423c7ab5bc14367e04a9d3c847d3c7f64ee89dafe6af1
Homepage: https://bioconductor.org/packages/Mergeomics/
Description-en: Integrative network analysis of omics data
The Mergeomics pipeline serves as a flexible framework for integrating
multidimensional omics-disease associations, functional genomics,
canonical pathways and gene-gene interaction networks to generate
mechanistic hypotheses. It includes two main parts:
1) Marker set enrichment analysis (MSEA);
2) Weighted Key Driver Analysis (wKDA).
Description-md5: d744e3c22ea2ecce9f31fb5a290ad6a6