To install this package, start R and enter:

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

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

oposSOM

Comprehensive analysis of transciptome data

Bioconductor version: 3.0

This package translates microarray expression data into metadata of reduced dimension. It provides various sample-centered and group-centered visualizations, sample similarity analyses and functional enrichment analyses. The underlying SOM algorithm combines feature clustering, multidimensional scaling and dimension reduction, along with strong visualization capabilities. It enables extraction and description of functional expression modules inherent in the data.

Author: Henry Wirth <wirth at izbi.uni-leipzig.de> and Martin Kalcher <mkalcher at porkbox.net>

Maintainer: Henry Wirth <wirth at izbi.uni-leipzig.de>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("oposSOM")

 

PDF R Script oposSOM Example
PDF   Reference Manual
Text   NEWS

Details

biocViews DataRepresentation, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Visualization
Version 1.1.1
In Bioconductor since BioC 3.0 (R-3.1)
License GPL (>=2)
Depends R (>= 3.0)
Imports som, fastICA, scatterplot3d, pixmap, fdrtool, ape, igraph, KernSmooth, parallel, biomaRt, Biobase
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://som.izbi.uni-leipzig.de
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source oposSOM_1.1.1.tar.gz
Windows Binary oposSOM_1.1.1.zip
Mac OS X 10.6 (Snow Leopard) oposSOM_1.1.1.tgz
Mac OS X 10.9 (Mavericks) oposSOM_1.1.1.tgz
Browse/checkout source (username/password: readonly)
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