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sSeq

Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size

Bioconductor version: 3.24 · Package version: 1.51.0

The purpose of this package is to discover the genes that are differentially expressed between two conditions in RNA-seq experiments. Gene expression is measured in counts of transcripts and modeled with the Negative Binomial (NB) distribution using a shrinkage approach for dispersion estimation. The method of moment (MM) estimates for dispersion are shrunk towards an estimated target, which minimizes the average squared difference between the shrinkage estimates and the initial estimates. The exact per-gene probability under the NB model is calculated, and used to test the hypothesis that the expected expression of a gene in two conditions identically follow a NB distribution.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sSeq")

Details

MaintainerDanni Yu <dyu@purdue.edu>
AuthorDanni Yu <dyu@purdue.edu>, Wolfgang Huber <whuber@embl.de> and Olga Vitek <ovitek@purdue.edu>
LicenseGPL (>= 3)
Downloads rank528
Source branchdevel
biocViewsImmunoOncology, RNASeq, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagesSeq_1.51.0.tar.gz
Windows binary (x86_64)sSeq_1.51.0.zip
macOS binary (arm64)sSeq_1.51.0.tgz
macOS binary (x86_64)sSeq_1.51.0.tgz
Dependencies

Depends: R (>= 3.0), caTools, RColorBrewer

Reverse dependencies

Imports Me (1): MLSeq

Suggests Me (1): NBLDA