NBAMSeq

This is the development version of NBAMSeq; for the stable release version, see NBAMSeq.

Negative Binomial Additive Model for RNA-Seq Data

Platform availability badge Ranking badge Support activity badge Years in BioConductor badge Build results badge Last commit badge Dependency count badge

DOI: 10.18129/B9.bioc.NBAMSeq

Bioconductor version: Development (3.23)

High-throughput sequencing experiments followed by differential expression analysis is a widely used approach to detect genomic biomarkers. A fundamental step in differential expression analysis is to model the association between gene counts and covariates of interest. NBAMSeq a flexible statistical model based on the generalized additive model and allows for information sharing across genes in variance estimation.

Author: Xu Ren [aut, cre], Pei Fen Kuan [aut]

Maintainer: Xu Ren <xuren2120 at gmail.com>

Citation (from within R, enter citation("NBAMSeq")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("NBAMSeq")

For older versions of R, please refer to the appropriate Bioconductor release.