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genArise (version 1.48.0)

Microarray Analysis tool

Description

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.

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Version

Version

1.48.0

License

file LICENSE

Last Published

February 15th, 2017

Functions in genArise (1.48.0)

Spot-class

Spot - class
a.arise

A Arise
old.project

Open previous project
bg.correct

Background Correction
DataSet-class

DataSet - class
Zscore.points

Z-score Window
genArise.init

genArise.init
read.dataset

Read Dataset from File
i.arise

I Arise
graphic.choose

Graphic choose
Zscore

Z-scores for identifying differential expression
genMerge

genMerge: Post-Genomic Analysis
meanUnique

Remove Duplicates
swap.select

Dye swap files selector
imageLimma

Image Plot of Microarray
Simon

Dataset: Little fragment of a microarray from IFC UNAM
WT.dataset

Microarray from the IFC
spotUnique

Replicate filtering
grid.norm

Normalization by grid of Spot
filter.spot

Intensity-based filtering of array elements
make.swap

Swap analysis
trim

Trim
post.analysis

Set-combinatorial analysis
write.spot

Write Spot
principal

Principal window of genAriseGUI
write.zscore

Write Z-score data
r.arise

Get R value
classes

Classes Defined by this Package
annotations

Gene Annotations
genArise

GUI: Graphical User Interface
m.arise

M Arise
back.gui

Return to the last window
get.values

Auxiliar function for post-analysis
get.Zscore

Swap from Files
set.history.project

Save the history of a project
ma.plot

Data Visualization: M vs. A plot
read.spot

Read Spot from File
set.path.project

set.path.project
ri.plot

Data Visualization: R vs I
alter.unique

Remove Duplicates
reset.history

Reset the prj history file
set.project.properties

set.project.properties
help

Help of genArise
project.select

File selector
note

note
set.grid.properties

set.grid.properties
create.project

Create directorie for the project and its results and graphics
Zscore.plot

Z-score Data Visualization: R vs I or M vs A
analysis.window

Analysis.window
global.norm

Global Normalization of Spot
cys.plot

Data Visualization: log2(Cy3) vs log2(Cy5)
single.norm

Swap from Files
write.dataSet

Write dataSet