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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "NBAMSeq" in publications use:'
type: software
license: GPL-2.0-only
title: 'NBAMSeq: Negative Binomial Additive Model for RNA-Seq Data'
version: 1.21.0
doi: 10.1186/s12859-020-3506-x
abstract: 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.
authors:
- family-names: Ren
  given-names: Xu
  email: xuren2120@gmail.com
- family-names: Kuan
  given-names: Pei Fen
  email: peifen.kuan@stonybrook.edu
preferred-citation:
  type: article
  title: Negative binomial additive model for RNA-Seq data analysis
  authors:
  - family-names: Ren
    given-names: Xu
    email: xuren2120@gmail.com
  - family-names: Kuan
    given-names: Pei Fen
    email: peifen.kuan@stonybrook.edu
  year: '2020'
  journal: BMC Bioinformatics
  doi: 10.1186/s12859-020-3506-x
  volume: '21'
  issue: '1'
  start: '1'
  end: '15'
repository: https://bioc.r-universe.dev
repository-code: https://github.com/reese3928/NBAMSeq
url: https://github.com/reese3928/NBAMSeq
contact:
- family-names: Ren
  given-names: Xu
  email: xuren2120@gmail.com