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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 "npGSEA" in publications use:'
type: software
license: Artistic-2.0
title: 'npGSEA: Permutation approximation methods for gene set enrichment analysis
  (non-permutation GSEA)'
version: 1.41.0
doi: doi:10.1186/s12859-015-0571-7
abstract: Current gene set enrichment methods rely upon permutations for inference.
  These approaches are computationally expensive and have minimum achievable p-values
  based on the number of permutations, not on the actual observed statistics. We have
  derived three parametric approximations to the permutation distributions of two
  gene set enrichment test statistics. We are able to reduce the computational burden
  and granularity issues of permutation testing with our method, which is implemented
  in this package. npGSEA calculates gene set enrichment statistics and p-values without
  the computational cost of permutations. It is applicable in settings where one or
  many gene sets are of interest. There are also built-in plotting functions to help
  users visualize results.
authors:
- family-names: Larson
  given-names: Jessica
  email: larson.jess@gmail.com
- family-names: Owen
  given-names: Art
preferred-citation:
  type: article
  title: Moment based gene set tests
  authors:
  - family-names: Larson
    given-names: Jessica L
  - family-names: Owen
    given-names: Art B
  year: '2015'
  journal: BMC Bioinformatics
  doi: doi:10.1186/s12859-015-0571-7
  url: http://www.biomedcentral.com/1471-2105/16/132
  volume: '16'
  start: '132'
repository: https://bioc.r-universe.dev
date-released: '2015-05-06'
contact:
- family-names: Larson
  given-names: Jessica
  email: larson.jess@gmail.com