This is the released version of NBAMSeq; for the devel version, see NBAMSeq.
Negative Binomial Additive Model for RNA-Seq DataBioconductor 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 <xuren2120 at gmail.com>
Citation (from within R, entercitation("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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("NBAMSeq")Follow Installation instructions to use this package in your R session.
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