NBAMSeq (original) (raw)

This is the released version of NBAMSeq; for the devel version, seeNBAMSeq.

Negative Binomial Additive Model for RNA-Seq Data

Bioconductor version: Release (3.21)

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

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

Installation

To install this package, start R (version "4.5") and enter:

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

BiocManager::install("NBAMSeq")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("NBAMSeq")

Details

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Follow Installation instructions to use this package in your R session.