oposSOM: Comprehensive analysis of transciptome data

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.

Package details

AuthorHenry Loeffler-Wirth <wirth@izbi.uni-leipzig.de>, Hoang Thanh Le <le@izbi.uni-leipzig.de> and Martin Kalcher <mkalcher@porkbox.net>
Bioconductor views DataRepresentation DifferentialExpression GeneExpression GeneSetEnrichment Visualization
MaintainerHenry Loeffler-Wirth <wirth@izbi.uni-leipzig.de>
LicenseGPL (>=2)
URL http://som.izbi.uni-leipzig.de
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the oposSOM package in your browser

Any scripts or data that you put into this service are public.

oposSOM documentation built on Nov. 8, 2020, 8:16 p.m.