QRscore
Quantile Rank Score
Bioconductor version: 3.24 · Package version: 1.5.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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]).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("QRscore")Details
| Maintainer | Fanding Zhou <zhoufd@berkeley.edu> |
| Author | Fanding Zhou [cre, aut] (ORCID: <https://orcid.org/0000-0003-1306-740X>), Alan Aw [aut] (ORCID: <https://orcid.org/0000-0001-9455-7878>), Dan Erdmann-Pham [aut], Jonathan Fischer [aut] (ORCID: <https://orcid.org/0000-0002-1165-9930>), Xurui Chen [ctb] |
| License | GPL (>= 3) |
| URL | https://github.com/songlab-cal/QRscore |
| Bug Reports | https://github.com/songlab-cal/QRscore/issues |
| 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/ |
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.
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 |
Dependencies
Depends: R (>= 4.4.0)
Imports: MASS, pscl, arrangements, hitandrun, assertthat, dplyr, BiocParallel
Suggests: devtools, DESeq2, knitr, rmarkdown, testthat, BiocStyle