SIEVEseq: Unified Differential Expression, Variability and Skewness Analysis for RNA-Seq Data

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

Documentation:

Reference manual:	SIEVEseq.html , SIEVEseq.pdf
Vignettes:	SIEVEseq Introduction (source, R code)

Downloads:

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

Linking:

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