Microarray Analysis tool


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Documentation for package ‘genArise’ version 1.18.0

User Guides and Package Vignettes

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Help Pages

a.arise A Arise
alter.unique Remove Duplicates
analysis.window Analysis.window
annotations Gene Annotations
back.gui Return to the last window
bg.correct Background Correction
classes Classes Defined by this Package
create.project create.project
cys.plot Data Visualization: log2(Cy3) vs log2(Cy5)
DataSet-class DataSet - class
filter.spot Intensity-based filtering of array elements
genArise GUI: Graphical User Interface
genArise.init genArise.init
genMerge genMerge: Post-Genomic Analysis
get.values Auxiliar function for post-analysis
get.Zscore Swap from Files
global.norm Global Normalization of Spot
graphic.choose Graphic choose
grid.norm Normalization by grid of Spot
help Help of genArise
i.arise I Arise
imageLimma Image Plot of Microarray
m.arise M Arise
ma.plot Data Visualization: M vs. A plot
make.swap Swap analysis
meanUnique Remove Duplicates
note note
old.project Open previous project
post.analysis Set-combinatorial analysis
principal Principal window of genAriseGUI
projects.select File selector
r.arise Get R value
read.dataset Read Dataset from File
read.spot Read Spot from File
reset.history Reset the prj history file
ri.plot Data Visualization: R vs I
set.grid.properties set.grid.properties
set.history.project Save the history of a project
set.path.project set.path.project
set.project.properties set.project.properties
Simon Dataset: Little fragment of a microarray from IFC UNAM
single.norm Swap from Files
Spot-class Spot - class
spotUnique Replicate filtering
swap.select Dye swap files selector
trim Trim
write.dataSet Write dataSet
write.spot Write Spot
write.zscore Write Z-score data
WT.dataset Microarray from the IFC
Zscore Z-scores for identifying differential expression
Zscore.plot Z-score Data Visualization: R vs I or M vs A
Zscore.points Z-score Window