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QRscore

This is thereleased version of QRscore; for the devel version, seeQRscore.

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DOI: 10.18129/B9.bioc.QRscore


Bioconductor version: Release (3.22)

In genomics, differential analysis enables the discovery of groups of genes implicating important biological processes such as cell differentiation and aging. Non-parametric tests of differential gene expression usually detect shifts in centrality (such as mean or median), and therefore suffer from diminished power against alternative hypotheses characterized by shifts in spread (such as variance). This package provides a flexible family of non-parametric two-sample tests and K-sample tests, which is based on theoretical work around non-parametric tests, spacing statistics and local asymptotic normality (Erdmann-Pham et al., 2022+ [arXiv:2008.06664v2]; Erdmann-Pham, 2023+ [arXiv:2209.14235v2]).

Author: Fanding Zhou [cre, aut]ORCID iD ORCID: 0000-0003-1306-740X, Alan Aw [aut]ORCID iD ORCID: 0000-0001-9455-7878, Dan Erdmann-Pham [aut], Jonathan Fischer [aut]ORCID iD ORCID: 0000-0002-1165-9930, Xurui Chen [ctb]

Maintainer: Fanding Zhou <zhoufd at berkeley.edu>

Citation (from within R, entercitation("QRscore")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("QRscore")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialExpression,GeneExpression,GeneTarget,Software,StatisticalMethod,StructuralGenomics
Version1.2.0
In Bioconductor sinceBioC 3.21 (R-4.5) (0.5 years)
LicenseGPL (>= 3)
DependsR (>= 4.4.0)
ImportsMASS,pscl,arrangements,hitandrun,assertthat,dplyr,BiocParallel
System Requirements
URLhttps://github.com/songlab-cal/QRscore
Bug Reportshttps://github.com/songlab-cal/QRscore/issues
See More
Suggestsdevtools,DESeq2,knitr,rmarkdown,testthat,BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageQRscore_1.2.0.tar.gz
Windows Binary (x86_64) QRscore_1.2.0.zip
macOS Binary (x86_64)QRscore_1.2.0.tgz
macOS Binary (arm64)QRscore_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/QRscore
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/QRscore
Bioc Package Browserhttps://code.bioconductor.org/browse/QRscore/
Package Short Urlhttps://bioconductor.org/packages/QRscore/
Package Downloads ReportDownload Stats

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