# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "geva" in publications use:'
type: software
license: LGPL-3.0-only
title: 'geva: Gene Expression Variation Analysis (GEVA)'
version: 1.20.0
doi: 10.32614/CRAN.package.geva
abstract: Statistic methods to evaluate variations of differential expression (DE)
  between multiple biological conditions. It takes into account the fold-changes and
  p-values from previous differential expression (DE) results that use large-scale
  data (*e.g.*, microarray and RNA-seq) and evaluates which genes would react in response
  to the distinct experiments. This evaluation involves an unique pipeline of statistical
  methods, including weighted summarization, quantile detection, cluster analysis,
  and ANOVA tests, in order to classify a subset of relevant genes whose DE is similar
  or dependent to certain biological factors.
authors:
- family-names: Guimarães Nunes
  given-names: Itamar José
  email: nunesijg@gmail.com
  orcid: https://orcid.org/0000-0002-6246-4658
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/sbcblab/geva
commit: fbfe0b12121d4e7201e95df329fb9a6c0d512c28
url: https://github.com/sbcblab/geva
date-released: '2026-04-28'
contact:
- family-names: Guimarães Nunes
  given-names: Itamar José
  email: nunesijg@gmail.com
  orcid: https://orcid.org/0000-0002-6246-4658