How to Install and Uninstall r-bioc-qvalue Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 14,2024

1. Install "r-bioc-qvalue" package

Please follow the instructions below to install r-bioc-qvalue on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 tutorial shows how to uninstall r-bioc-qvalue on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: r-bioc-qvalue
Architecture: all
Version: 2.20.0-1build1
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 (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/universe/r/r-bioc-qvalue/r-bioc-qvalue_2.20.0-1build1_all.deb
Size: 2796892
MD5sum: 677143ea68c77b563baad4523b28675c
SHA1: 61bc059d2371a5e5b53d12477cb55211ed69c7f1
SHA256: ff009c80ea995e26c5b8dea336eaf03ba75fb2be81ef150b6e11273b22c88d36
SHA512: 687167b2f741ab70a080cc72ebf65cce5d785e0c6c92f0b12bc207f375b357115f765b1719634ae0cf612c7eb73686ed748ccbdb1da0aa8d108d229bb43c261e
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