How to Install and Uninstall R-qvalue.noarch Package on Fedora 36
Last updated: November 30,2024
1. Install "R-qvalue.noarch" package
In this section, we are going to explain the necessary steps to install R-qvalue.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
R-qvalue.noarch
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2. Uninstall "R-qvalue.noarch" package
This tutorial shows how to uninstall R-qvalue.noarch on Fedora 36:
$
sudo dnf remove
R-qvalue.noarch
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$
sudo dnf autoremove
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3. Information about the R-qvalue.noarch package on Fedora 36
Last metadata expiration check: 3:40:52 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : R-qvalue
Version : 2.24.0
Release : 3.fc36
Architecture : noarch
Size : 2.7 M
Source : R-qvalue-2.24.0-3.fc36.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.
Available Packages
Name : R-qvalue
Version : 2.24.0
Release : 3.fc36
Architecture : noarch
Size : 2.7 M
Source : R-qvalue-2.24.0-3.fc36.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.