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

Last updated: May 17,2024

1. Install "r-bioc-qvalue" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidelines below to uninstall r-bioc-qvalue on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-bioc-qvalue
            
                    
    
    Copied


    
        
            $
        

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

Package: r-bioc-qvalue
Architecture: all
Version: 2.22.0-1
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: 2827
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/universe/r/r-bioc-qvalue/r-bioc-qvalue_2.22.0-1_all.deb
Size: 2796900
MD5sum: 07b6f18e374ac1f2d39dcfa9d70f5390
SHA1: 0beba77dbc84a7b22e4e0c361bf72dcfc107291c
SHA256: 17be70a490f2fec4b422c331d8ab837ae9786d435c4f115c9854485329f1e4df
SHA512: e3f25ac2cc54bd8ea99bf2941ed40c137b29a4b238571be291be9d59935e40f396ce298021391dd78fbd8d94779d1a47210e500bca60738482e03e83c8f42546
Homepage: https://bioconductor.org/packages/qvalue/
Description-en: GNU R package for Q-value estimation for FDR control
This package takes a list of p-values resulting from the simultaneous
testing of many hypotheses and estimates their q-values. The
q-value of a test measures the proportion of false positives incurred
(called the false discovery rate) when that particular test is called
significant. Various plots are automatically generated, allowing one
to make sensible significance cut-offs. Several mathematical results
have recently been shown on the conservative accuracy of the estimated
q-values from this software. The software can be applied to problems
in genomics, brain imaging, astrophysics, and data mining.
Description-md5: bc3b06a4f2864fc1218bf49565fc0ede