To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("ExpressionView")

In most cases, you don't need to download the package archive at all.

ExpressionView

Visualize biclusters identified in gene expression data

Bioconductor version: 3.0

ExpressionView visualizes possibly overlapping biclusters in a gene expression matrix. It can use the result of the ISA method (eisa package) or the algorithms in the biclust package or others. The viewer itself was developed using Adobe Flex and runs in a flash-enabled web browser.

Author: Andreas Luscher <andreas.luescher at a3.epfl.ch>

Maintainer: Gabor Csardi <csardi.gabor at gmail.com>

Citation (from within R, enter citation("ExpressionView")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("ExpressionView")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ExpressionView")

 

PDF R Script ExpressionView
PDF R Script ExpressionView file format
PDF R Script How the ordering algorithm works
PDF   Reference Manual

Details

biocViews Classification, GeneExpression, Microarray, Software, Visualization
Version 1.18.0
In Bioconductor since BioC 2.6 (R-2.11)
License GPL (>= 2)
Depends caTools, bitops, methods, isa2, eisa, GO.db, KEGG.db, AnnotationDbi
Imports methods, isa2, eisa, GO.db, KEGG.db, AnnotationDbi
LinkingTo
Suggests ALL, hgu95av2.db, biclust, affy
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source ExpressionView_1.18.0.tar.gz
Windows Binary ExpressionView_1.18.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) ExpressionView_1.18.0.tgz
Mac OS X 10.9 (Mavericks) ExpressionView_1.18.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center