QRscore
This is the development version of QRscore; for the stable release version, see QRscore.
All Bioconductor versions of QRscore
3.24 (devel), 3.23 (release), 3.22, 3.21
Quantile Rank Score
Bioconductor version: 3.24 · Package version: 1.5.0
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] 
, Alan Aw [aut] , Dan Erdmann-Pham [aut], Jonathan Fischer [aut] , Xurui Chen [ctb]
Maintainer: Fanding Zhou <zhoufd at berkeley.edu>
Citation
From within R, enter citation("QRscore"):
Fanding Zhou, Alan Aw, Dan Erdmann-Pham, Jonathan Fischer. QRscore: Quantile Rank Score. doi:10.18129/B9.bioc.QRscore, R package version 1.5.0, https://bioconductor.org/packages/QRscore.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("QRscore")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.5.0 |
| License | GPL (>= 3) |
| URL | https://github.com/songlab-cal/QRscore |
| Bug Reports | https://github.com/songlab-cal/QRscore/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.21 (R-4.5) (1 year) |
| Downloads rank | 2141 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, GeneExpression, GeneTarget, Software, StatisticalMethod, StructuralGenomics |
| Package Short Url | https://bioconductor.org/packages/QRscore/ |
Documentation
| Reference Manual | |
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | QRscore_1.5.0.tar.gz |
| Windows binary (x86_64) | QRscore_1.5.0.zip |
| macOS binary (arm64) | QRscore_1.5.0.tgz |
| macOS binary (x86_64) | QRscore_1.5.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/QRscore |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/QRscore |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.4.0)
Imports: MASS, pscl, arrangements, hitandrun, assertthat, dplyr, BiocParallel
Suggests: devtools, DESeq2, knitr, rmarkdown, testthat, BiocStyle