NBAMSeq
Negative Binomial Additive Model for RNA-Seq Data
Bioconductor version: 3.23 · Package version: 1.28.0
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 |
| Downloads rank | 270 |
| Source branch | RELEASE_3_23 |
| biocViews | Coverage, DifferentialExpression, GeneExpression, RNASeq, Sequencing, Software |
Documentation
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Dependencies
Depends: R (>= 3.6), SummarizedExperiment, S4Vectors
Imports: DESeq2, mgcv (>= 1.8-24), BiocParallel, genefilter, methods, stats