This is the development version of QRscore; for the stable release version, see QRscore.
Quantile Rank ScoreBioconductor version: Development (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: 0000-0003-1306-740X , Alan Aw [aut] ORCID: 0000-0001-9455-7878 , Dan Erdmann-Pham [aut], Jonathan Fischer [aut] 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")
# 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 Details biocViews DifferentialExpression, GeneExpression, GeneTarget, Software, StatisticalMethod, StructuralGenomics Version 1.1.1 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) 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 Package ArchivesFollow Installation instructions to use this package in your R session.
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