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) .


Reference manual

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install.packages("SIEVEseq")

0.0.0 by Hongxiang Li, 3 months ago


https://github.com/Divo-Lee/SIEVEseq


Browse source code at https://github.com/cran/SIEVEseq


Authors: Hongxiang Li [aut, cre] , Tsung Fei Khang [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports sn, stats, ggplot2

Suggests knitr, rmarkdown, testthat


See at CRAN