Package: GiANT 1.3.4

GiANT: Gene Set Uncertainty in Enrichment Analysis

Toolbox for various enrichment analysis methods and quantification of uncertainty of gene sets, Schmid et al. (2016) <doi:10.1093/bioinformatics/btw030>.

Authors:Florian Schmid [aut], Christoph Muessel [aut], Johann M. Kraus [aut], Hans A. Kestler [aut], Hans A. Kestler [cre]

GiANT_1.3.4.tar.gz
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GiANT.pdf |GiANT.html
GiANT/json (API)

# Install 'GiANT' in R:
install.packages('GiANT', repos = c('https://hkestler.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • countdata - Example data
  • labels - Example data to label samples in countdata (rows) in two classes 0 and 1
  • pathways - Example data for pathways to to gene set enrichtment analyses

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

43 exports 0.09 score 0 dependencies 3 scripts 51 downloads

Last updated 12 days agofrom:aaed8ec41a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winOKSep 06 2024
R-4.5-linuxOKSep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 2024

Exports:analysis.averageCorrelationanalysis.averageTStatisticanalysis.customOverrepresentationanalysis.globalAncovaanalysis.globalTestanalysis.gseaanalysis.overrepresentationcreateSummaryTableevaluateGeneSetUncertaintyfilterGeneSetsgeneSetAnalysisglobal.ancovaglobal.overrepresentationglobal.testgls.corgls.foldChangegls.moderateTStatisticgls.nBinomTestgls.regressiongls.tStatisticgsAnalysisgss.enrichmentScoregss.fisherExactTestgss.gszgss.maxmeangss.meangss.mediangss.sumgss.wilcoxonRankTestmergeProbesForGenesparseGmtplotOverrepresentationpreprocessGssignificance.permutationsignificance.restandardizationsignificance.samplingtransformation.abstransformation.adjusttransformation.adjustAndBinarizetransformation.binarizetransformation.localFdrtransformation.ranktransformation.square

Dependencies:

Detailed introduction to all major features of GiANT

Rendered fromgiant_package_vignette.Snwusingutils::Sweaveon Sep 06 2024.

Last update: 2024-09-06
Started: 2015-08-06

Readme and manuals

Help Manual

Help pageTopics
Enrichment analysisGiANT
Example datacountdata
Create an overview table for an analysiscreateSummaryTable
Quantify gene set uncertaintyevaluateGeneSetUncertainty
Filtering of gene setsfilterGeneSets
Main interface for enrichment analyses.geneSetAnalysis
Gene-level statisticsgls gls.cor gls.foldChange gls.moderateTStatistic gls.nBinomTest gls.regression gls.tStatistic
Gene set statisticsgss gss.enrichmentScore gss.fisherExactTest gss.gsz gss.maxmean gss.mean gss.median gss.sum gss.wilcoxonRankTest
Global analysesglobal global.ancova global.overrepresentation global.test
Gene set analysis.gsAnalysis
Null distribution histogram and statistic of the input set for enrichment analyses.hist.gsaResult
Example data to label samples in countdata (rows) in two classes 0 and 1labels
Merge multiple probes for one genemergeProbesForGenes
Venn Euler DiagrammparseGmt
Example data for pathways to to gene set enrichtment analysespathways
Plots the results of an uncertainty analysis.plot.uncertaintyResult
Plot overlap of gene sets and core setplotOverrepresentation
Predefined enrichment analysesanalysis.averageCorrelation analysis.averageTStatistic analysis.customOverrepresentation analysis.globalAncova analysis.globalTest analysis.gsea analysis.overrepresentation predefinedAnalyses
Eliminate unknown genes from gene setspreprocessGeneSets preprocessGs
Significance assessmentsignificance significance.permutation significance.restandardization significance.sampling
Summarize gene set analysis resultssummary.gsaResult
Transformationstransformation transformation.abs transformation.adjust transformation.adjustAndBinarize transformation.binarize transformation.localFdr transformation.rank transformation.square