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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

MaintainerXu Ren <xuren2120@gmail.com>
AuthorXu Ren [aut, cre], Pei Fen Kuan [aut]
LicenseGPL-2
URLhttps://github.com/reese3928/NBAMSeq
Bug Reportshttps://github.com/reese3928/NBAMSeq/issues
Downloads rank270
Source branchRELEASE_3_23
biocViewsCoverage, DifferentialExpression, GeneExpression, RNASeq, Sequencing, Software

Documentation

Download

Dependencies

Depends: R (>= 3.6), SummarizedExperiment, S4Vectors

Imports: DESeq2, mgcv (>= 1.8-24), BiocParallel, genefilter, methods, stats

Suggests: knitr, rmarkdown, testthat, ggplot2