How to Install and Uninstall R-qvalue.noarch Package on Fedora 35

Last updated: October 11,2024

1. Install "R-qvalue.noarch" package

Please follow the instructions below to install R-qvalue.noarch on Fedora 35


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                R-qvalue.noarch
            
                    
    
    Copied

2. Uninstall "R-qvalue.noarch" package

Please follow the guidance below to uninstall R-qvalue.noarch on Fedora 35:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                R-qvalue.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the R-qvalue.noarch package on Fedora 35

Last metadata expiration check: 4:24:12 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : R-qvalue
Version : 2.24.0
Release : 2.fc35
Architecture : noarch
Size : 2.7 M
Source : R-qvalue-2.24.0-2.fc35.src.rpm
Repository : fedora
Summary : Q-value estimation for false discovery rate control
URL : http://bioconductor.org/packages/release/bioc/html/qvalue.html
License : LGPLv2+
Description : It 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.
:
: This package is a part of the Bioconductor (bioconductor.org) project.