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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 "SeqGSEA" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'SeqGSEA: Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating
  differential expression and splicing'
version: 1.45.0
abstract: The package generally provides methods for gene set enrichment analysis
  of high-throughput RNA-Seq data by integrating differential expression and splicing.
  It uses negative binomial distribution to model read count data, which accounts
  for sequencing biases and biological variation. Based on permutation tests, statistical
  significance can also be achieved regarding each gene's differential expression
  and splicing, respectively.
authors:
- family-names: Wang
  given-names: Xi
  email: Xi.Wang@dkfz.de
preferred-citation:
  type: article
  title: 'Gene Set Enrichment Analysis of RNA-Seq Data: Integrating Differential Expression
    and Splicing'
  authors:
  - family-names: Wang
    given-names: Xi
    email: Xi.Wang@dkfz.de
  - family-names: Cairns
    given-names: Murray J.
  journal: BMC Bioinformatics
  volume: 14(Suppl 5)
  year: '2013'
  start: S16
repository: https://bioc.r-universe.dev
date-released: '2020-11-30'
contact:
- family-names: Wang
  given-names: Xi
  email: Xi.Wang@dkfz.de
references:
- type: article
  title: 'SeqGSEA: a Bioconductor package for gene set enrichment analysis of RNA-Seq
    data integrating differential expression and splicing'
  authors:
  - family-names: Wang
    given-names: Xi
  - family-names: Cairns
    given-names: Murray J.
  journal: Bioinformatics
  volume: 30(12)
  year: '2014'
  start: 1777-9