QRscore
This is the released version of QRscore; for the devel version, see QRscore.
Quantile Rank Score
Bioconductor version: Release (3.23)
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("QRscore")):Fanding Zhou, Alan Aw, Dan Erdmann-Pham, Jonathan Fischer. QRscore: Quantile Rank Score. doi:10.18129/B9.bioc.QRscore, R package version 1.4.0, 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")
BiocManager::install("QRscore")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| No vignettes available | |
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | DifferentialExpression, GeneExpression, GeneTarget, Software, StatisticalMethod, StructuralGenomics |
| Version | 1.4.0 |
| In Bioconductor since | BioC 3.21 (R-4.5) (1.5 years) |
| 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 |
See More
| Suggests | devtools, DESeq2, knitr, rmarkdown, testthat, BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | QRscore_1.4.0.tar.gz |
| Windows Binary (x86_64) | QRscore_1.4.0.zip |
| macOS Binary (big-sur-x86_64) | QRscore_1.4.0.tgz |
| macOS Binary (sonoma-arm64) | QRscore_1.4.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/QRscore |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/QRscore |
| Package Short Url | https://bioconductor.org/packages/QRscore/ |
| Package Downloads Report | Download Stats |