How to Install and Uninstall r-bioc-qvalue Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 03,2024

1. Install "r-bioc-qvalue" package

Here is a brief guide to show you how to install r-bioc-qvalue on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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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

This guide covers the steps necessary to uninstall r-bioc-qvalue on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-bioc-qvalue
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-qvalue package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-bioc-qvalue
Priority: optional
Section: universe/gnu-r
Installed-Size: 3051
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: all
Version: 2.2.0-1
Replaces: r-cran-qvalue
Provides: r-cran-qvalue
Depends: r-base-core (>= 3.2.2-1), r-api-3, r-cran-ggplot2, r-cran-reshape2
Conflicts: r-cran-qvalue
Filename: pool/universe/r/r-bioc-qvalue/r-bioc-qvalue_2.2.0-1_all.deb
Size: 3052742
MD5sum: 22807177c331b79f623b781d526b6e82
SHA1: 0eac5fe3da9691cb629459881ee1d49613927e9f
SHA256: e248dadaa5e4a60cc7547c1741d935cb27950d196965a260946cb4abe5a16481
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
Homepage: http://www.bioconductor.org/packages/release/bioc/html/qvalue.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu