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QRscore

This is the development version of QRscore; to use it, please install the devel version of Bioconductor.

Quantile Rank Score


Bioconductor version: Development (3.21)

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, enter citation("QRscore")):

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("QRscore")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, GeneExpression, GeneTarget, Software, StatisticalMethod, StructuralGenomics
Version 0.99.8
In Bioconductor since BioC 3.21 (R-4.5)
License GPL (>= 3)
Depends R (>= 4.4.0)
Imports MASS, pscl, arrangements, hitandrun, assertthat, dplyr, BiocParallel
System Requirements
URL https://github.com/songlab-cal/QRscore
Bug Reports https://github.com/songlab-cal/QRscore/issues
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Suggests devtools, DESeq2, knitr, rmarkdown, testthat
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64) QRscore_0.99.8.zip
macOS Binary (x86_64) QRscore_0.99.8.tgz
macOS Binary (arm64) QRscore_0.99.8.tgz
Source Repository git clone https://git.bioconductor.org/packages/QRscore
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/QRscore
Bioc Package Browser https://code.bioconductor.org/browse/QRscore/
Package Short Url https://bioconductor.org/packages/QRscore/
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