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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.0 |
rolling linux/jammy R-4.5 | SIEVEseq_0.0.0.tar.gz |
4.0 MiB |
0.0.0 |
rolling linux/noble R-4.5 | SIEVEseq_0.0.0.tar.gz |
4.0 MiB |
0.0.0 |
rolling source/ R- | SIEVEseq_0.0.0.tar.gz |
4.1 MiB |
0.0.0 |
latest linux/jammy R-4.5 | SIEVEseq_0.0.0.tar.gz |
4.0 MiB |
0.0.0 |
latest linux/noble R-4.5 | SIEVEseq_0.0.0.tar.gz |
4.0 MiB |
0.0.0 |
latest source/ R- | SIEVEseq_0.0.0.tar.gz |
4.1 MiB |
0.0.0 |
2026-04-23 source/ R- | SIEVEseq_0.0.0.tar.gz |
0 B |