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>.
