NBAMSeq
Negative Binomial Additive Model for RNA-Seq Data
Bioconductor version: 3.23 · Package version: 1.28.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("NBAMSeq")Details
| Maintainer | Xu Ren <xuren2120@gmail.com> |
| Author | Xu Ren [aut, cre], Pei Fen Kuan [aut] |
| License | GPL-2 |
| URL | https://github.com/reese3928/NBAMSeq |
| Bug Reports | https://github.com/reese3928/NBAMSeq/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Coverage, DifferentialExpression, GeneExpression, RNASeq, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/NBAMSeq/ |
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.
Documentation
Download
Follow the 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 (arm64) | NBAMSeq_1.28.0.tgz |
| macOS binary (x86_64) | NBAMSeq_1.28.0.tgz |
Dependencies
Depends: R (>= 3.6), SummarizedExperiment, S4Vectors
Imports: DESeq2, mgcv (>= 1.8-24), BiocParallel, genefilter, methods, stats