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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("oposSOM")
In most cases, you don't need to download the package archive at all.
oposSOM
|
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see oposSOM.
Comprehensive analysis of transciptome data
Bioconductor version: 3.2
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 Loeffler-Wirth <wirth at izbi.uni-leipzig.de> and Martin Kalcher <mkalcher at porkbox.net>
Maintainer: Henry Loeffler-Wirth <wirth at izbi.uni-leipzig.de>
Citation (from within R,
enter citation("oposSOM")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://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")
| The oposSOM users guide | ||
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | DataRepresentation, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Visualization |
| Version | 1.6.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (1.5 years) |
| License | GPL (>=2) |
| Depends | R (>= 3.0) |
| Imports | som, fastICA, scatterplot3d, pixmap, fdrtool, ape, igraph, KernSmooth, 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_1.6.0.tar.gz |
| Windows Binary | oposSOM_1.6.0.zip |
| Mac OS X 10.6 (Snow Leopard) | oposSOM_1.6.0.tgz |
| Mac OS X 10.9 (Mavericks) | oposSOM_1.6.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/oposSOM/tree/release-3.2 |
| Package Short Url | http://bioconductor.org/packages/oposSOM/ |
| Package Downloads Report | Download Stats |
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