Microarray Analysis tool


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Documentation for package ‘genArise’ version 1.40.0

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 directorie for the project and its results and graphics
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