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NBAMSeq

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9

Negative Binomial Additive Model for RNA-Seq Data


Bioconductor version: Release (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")):

Xu Ren, Pei Fen Kuan. NBAMSeq: Negative Binomial Additive Model for RNA-Seq Data. doi:10.18129/B9.bioc.NBAMSeq, R package version 1.28.0, https://bioconductor.org/packages/NBAMSeq.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")
Negative Binomial Additive Model for RNA-Seq Data HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Coverage, DifferentialExpression, GeneExpression, RNASeq, Sequencing, Software
Version1.28.0
In Bioconductor sinceBioC 3.9 (R-3.6) (7.5 years)
License GPL-2
Depends R (>= 3.6), SummarizedExperiment, S4Vectors
Imports DESeq2, mgcv (>= 1.8-24), BiocParallel, genefilter, methods, stats
System Requirements
URLhttps://github.com/reese3928/NBAMSeq
Bug Reportshttps://github.com/reese3928/NBAMSeq/issues
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Suggests knitr, rmarkdown, testthat, ggplot2
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Package Archives

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

Source Package NBAMSeq_1.28.0.tar.gz
Windows Binary (x86_64) NBAMSeq_1.28.0.zip
macOS Binary (big-sur-x86_64) NBAMSeq_1.28.0.tgz
macOS Binary (sonoma-arm64) NBAMSeq_1.28.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/NBAMSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/NBAMSeq
Package Short Url https://bioconductor.org/packages/NBAMSeq/
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