Package: NBAMSeq
Type: Package
Title: Negative Binomial Additive Model for RNA-Seq Data
Version: 1.26.0
Authors@R: c(
    person("Xu", "Ren", 
        email = "xuren2120@gmail.com", role = c("aut", "cre")),
    person("Pei Fen", "Kuan", 
        email = "peifen.kuan@stonybrook.edu", role = "aut"))
Description: 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.
License: GPL-2
URL: https://github.com/reese3928/NBAMSeq
BugReports: https://github.com/reese3928/NBAMSeq/issues
Encoding: UTF-8
Imports: DESeq2, mgcv(>= 1.8-24), BiocParallel, genefilter, methods,
        stats,
Depends: R (>= 3.6), SummarizedExperiment, S4Vectors
Suggests: knitr, rmarkdown, testthat, ggplot2
RoxygenNote: 6.1.0
VignetteBuilder: knitr
biocViews: RNASeq, DifferentialExpression, GeneExpression, Sequencing,
        Coverage
Config/pak/sysreqs: libpng-dev libxml2-dev libssl-dev zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:51:23 UTC
RemoteUrl: https://github.com/bioc/NBAMSeq
RemoteRef: RELEASE_3_22
RemoteSha: 4d8f91b6b2dc9b35c906aceb6359fa662b4b506f
NeedsCompilation: no
Packaged: 2025-11-19 07:33:15 UTC; root
Author: Xu Ren [aut, cre],
  Pei Fen Kuan [aut]
Maintainer: Xu Ren <xuren2120@gmail.com>
Built: R 4.5.2; ; 2025-11-19 07:35:09 UTC; windows
