Package: geva Type: Package Title: Gene Expression Variation Analysis (GEVA) Description: 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. Version: 1.21.0 Authors@R: c(person(given = "Itamar José", family = "Guimarães Nunes", role = c("aut", "cre"), email = "nunesijg@gmail.com", comment = c(ORCID = "0000-0002-6246-4658")), person(given = "Murilo", family = "Zanini David", email = "zanini.murilo@gmail.com", role = "ctb"), person(given = "Bruno", family = "César Feltes", email = "bcfeltes@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-2825-8295")), person(given = "Marcio", family = "Dorn", email = "mdorn@inf.ufrgs.br", role = "ctb", comment = c(ORCID = "0000-0001-8534-3480"))) URL: https://github.com/sbcblab/geva BiocType: Software biocViews: Classification, DifferentialExpression, GeneExpression, Microarray, MultipleComparison, RNASeq, SystemsBiology, Transcriptomics License: LGPL-3 Encoding: UTF-8 Depends: R (>= 4.1) Imports: grDevices, graphics, methods, stats, utils, dbscan, fastcluster, matrixStats Suggests: devtools, knitr, rmarkdown, roxygen2, limma, topGO, testthat (>= 3.0.0) Roxygen: list(markdown = TRUE) RoxygenNote: 7.1.1 VignetteBuilder: knitr Collate: 'stringhelpers.R' 'callhelpers.R' 'vectorhelpers.R' 'printhelpers.R' 'asserts.R' 'usecasechecks.R' 'plotting.R' 'dochelpers.R' 'generics.R' 'classhelpers.R' 'c_SVTable.R' 'c_GEVAGroupSet.R' 'c_GEVACluster.R' 'funhelpers.R' 'linq.R' 'c_TypedList.R' 'c_SVAttribute.R' 'c_GEVAInput.R' 'c_GEVASummary.R' 'c_GEVAGroupedSummary.R' 'c_GEVAQuantiles.R' 'c_GEVAQuantilesAdjusted.R' 'c_GEVAResults.R' 'summarization.R' 'clusteringbase.R' 'matrixhelpers.R' 'statmath.R' 'dclustering.R' 'quantiles.R' 'factoring.R' 'scoremerge.R' 'finalize.R' 'geva-package.R' 'hclustering.R' 'idealtesting.R' 'input.R' Config/testthat/edition: 3 Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:55:17 UTC RemoteUrl: https://github.com/bioc/geva RemoteRef: HEAD RemoteSha: bbc8940ea2412049e10ed6bbbc8e26c2d5cdd260 NeedsCompilation: no Packaged: 2026-07-04 06:00:20 UTC; root Author: Itamar José Guimarães Nunes [aut, cre] (ORCID: ), Murilo Zanini David [ctb], Bruno César Feltes [ctb] (ORCID: ), Marcio Dorn [ctb] (ORCID: ) Maintainer: Itamar José Guimarães Nunes