Package: genArise 1.89.0

IFC Development Team

genArise: Microarray Analysis tool

genArise is an easy to use tool for dual color microarray data. Its GUI-Tk based environment let any non-experienced user performs a basic, but not simple, data analysis just following a wizard. In addition it provides some tools for the developer.

Authors:Ana Patricia Gomez Mayen <[email protected]>,\\ Gustavo Corral Guille <[email protected]>, \\ Lina Riego Ruiz <[email protected]>,\\ Gerardo Coello Coutino <[email protected]>

genArise_1.89.0.tar.gz
genArise_1.89.0.zip(r-4.7)genArise_1.89.0.zip(r-4.6)genArise_1.89.0.zip(r-4.5)
genArise_1.89.0.tgz(r-4.6-any)genArise_1.89.0.tgz(r-4.5-any)
genArise_1.89.0.tar.gz(r-4.7-any)genArise_1.89.0.tar.gz(r-4.6-any)
genArise_1.87.0.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
genArise/json (API)

# Install 'genArise' in R:
install.packages('genArise', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Simon - Dataset: Little fragment of a microarray from IFC UNAM
  • WT.dataset - Microarray from the IFC

On BioConductor:genArise-1.89.0(bioc 3.24)genArise-1.88.0(bioc 3.23)

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

microarraytwochannelpreprocessing

4.30 score 7 scripts 404 downloads 16 mentions 48 exports 4 dependencies

Last updated from:fcaf847e16. Checks:1 ERROR, 7 WARNING, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR154
linux-devel-x86_64WARNING160
source / vignettesOK194
linux-release-x86_64WARNING144
macos-release-arm64WARNING74
macos-oldrel-arm64WARNING111
windows-develWARNING87
windows-releaseWARNING86
windows-oldrelWARNING87
wasm-releaseFAIL101

Exports:a.arisealter.uniqueanalysis.windowannotationsback.guibg.correctcreate.projectcys.plotfilter.spotgenArisegenArise.initgenMergeget.valuesget.Zscoreglobal.normgraphic.choosegrid.normhelpi.ariseimageLimmam.arisema.plotmake.swapmeanUniquenoteold.projectpost.analysisprincipalprojects.selectr.ariseread.datasetread.spotreset.historyri.plotset.grid.propertiesset.history.projectset.path.projectset.project.propertiessingle.normspotUniqueswap.selecttrimwrite.dataSetwrite.spotwrite.zscoreZscoreZscore.plotZscore.points

Dependencies:latticelocfittkrplotxtable

genAriseGUI Vignette

Rendered fromgenArise.Rnwusingutils::Sweaveon May 29 2026.

Last update: 2013-11-01
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
A Arisea.arise
Remove Duplicatesalter.unique
Analysis.windowanalysis.window
Gene Annotationsannotations
Return to the last windowback.gui
Background Correctionbg.correct
Classes Defined by this Packageclasses
Create directorie for the project and its results and graphicscreate.project
Data Visualization: log2(Cy3) vs log2(Cy5)cys.plot
DataSet - classDataSet-class
Intensity-based filtering of array elementsfilter.spot
GUI: Graphical User InterfacegenArise
genArise.initgenArise.init
genMerge: Post-Genomic AnalysisgenMerge
Auxiliar function for post-analysisget.values
Swap from Filesget.Zscore
Global Normalization of Spotglobal.norm
Graphic choosegraphic.choose
Normalization by grid of Spotgrid.norm
Help of genArisehelp
I Arisei.arise
Image Plot of MicroarrayimageLimma
M Arisem.arise
Data Visualization: M vs. A plotma.plot
Swap analysismake.swap
Remove DuplicatesmeanUnique
notenote
Open previous projectold.project
Set-combinatorial analysispost.analysis
Principal window of genAriseGUIprincipal
File selectorprojects.select
Get R valuer.arise
Read Dataset from Fileread.dataset
Read Spot from Fileread.spot
Reset the prj history filereset.history
Data Visualization: R vs Iri.plot
set.grid.propertiesset.grid.properties
Save the history of a projectset.history.project
set.path.projectset.path.project
set.project.propertiesset.project.properties
Dataset: Little fragment of a microarray from IFC UNAMSimon
Swap from Filessingle.norm
Spot - classSpot-class
Replicate filteringspotUnique
Dye swap files selectorswap.select
Trimtrim
Write dataSetwrite.dataSet
Write Spotwrite.spot
Write Z-score datawrite.zscore
Microarray from the IFCWT.dataset
Z-scores for identifying differential expressionZscore
Z-score Data Visualization: R vs I or M vs AZscore.plot
Z-score WindowZscore.points