Provides a unified framework for the simultaneous testing of differential expression, variability, and skewness of genes using RNA-Seq data. The framework adopts a compositional data analysis approach for modelling RNA-Seq count data, applies the centered log-ratio transformation to obtain continuous variables, and uses the skew-normal distribution for statistical inference. Methods are described in Li and Khang (bioRxiv preprint, 2024, version 3) <doi:10.1101/2024.04.09.588804>.
| Version: | 0.0.0 |
| Depends: | R (≥ 4.1) |
| Imports: | sn, stats, ggplot2 |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-06-25 |
| DOI: | 10.32614/CRAN.package.SIEVEseq (may not be active yet) |
| Author: | Hongxiang Li [aut, cre], Tsung Fei Khang [aut] |
| Maintainer: | Hongxiang Li <hxli at ynnu.edu.cn> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/Divo-Lee/SIEVEseq |
| NeedsCompilation: | no |
| CRAN checks: | SIEVEseq results |
| Reference manual: | SIEVEseq.html , SIEVEseq.pdf |
| Vignettes: |
SIEVEseq Introduction (source, R code) |
| Package source: | SIEVEseq_0.0.0.tar.gz |
| Windows binaries: | r-devel: SIEVEseq_0.0.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): SIEVEseq_0.0.0.tgz, r-oldrel (arm64): SIEVEseq_0.0.0.tgz, r-release (x86_64): SIEVEseq_0.0.0.tgz, r-oldrel (x86_64): SIEVEseq_0.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SIEVEseq to link to this page.