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oposSOM

This is thereleased version of oposSOM; for the devel version, seeoposSOM.

Comprehensive analysis of transcriptome data

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DOI: 10.18129/B9.bioc.oposSOM


Bioconductor version: Release (3.22)

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>, Hoang Thanh Le <le 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, entercitation("oposSOM")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("oposSOM")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

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

browseVignettes("oposSOM")
The oposSOM users guidePDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDataRepresentation,DifferentialExpression,GeneExpression,GeneSetEnrichment,Software,Visualization
Version2.28.0
In Bioconductor sinceBioC 3.0 (R-3.1) (11 years)
LicenseGPL (>=2)
DependsR (>= 4.0.0),igraph (>= 1.0.0)
ImportsfastICA,tsne,scatterplot3d,pixmap,fdrtool,ape,biomaRt,Biobase,RcppParallel,Rcpp, methods,graph,XML,png,RCurl
System Requirements
URLhttp://som.izbi.uni-leipzig.de
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Suggests
Linking ToRcppParallel,Rcpp
Enhances
Depends On Me
Imports Me
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Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageoposSOM_2.28.0.tar.gz
Windows Binary (x86_64) oposSOM_2.28.0.zip
macOS Binary (x86_64)oposSOM_2.28.0.tgz
macOS Binary (arm64)oposSOM_2.28.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/oposSOM
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/oposSOM
Bioc Package Browserhttps://code.bioconductor.org/browse/oposSOM/
Package Short Urlhttps://bioconductor.org/packages/oposSOM/
Package Downloads ReportDownload Stats

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