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adSplit

Annotation-Driven Clustering

Bioconductor version: Release (3.17)

This package implements clustering of microarray gene expression profiles according to functional annotations. For each term genes are annotated to, splits into two subclasses are computed and a significance of the supporting gene set is determined.

Author: Claudio Lottaz, Joern Toedling

Maintainer: Claudio Lottaz <Claudio.Lottaz at klinik.uni-regensburg.de>

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

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("adSplit")

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

Documentation

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

browseVignettes("adSplit")
Annotation-Driven Clustering PDF R Script
Reference Manual PDF

Details

biocViews Clustering, Microarray, Software
Version 1.70.0
In Bioconductor since BioC 1.8 (R-2.3) (17.5 years)
License GPL (>= 2)
Depends R (>= 2.1.0), methods (>= 2.1.0)
Imports AnnotationDbi, Biobase(>= 1.5.12), cluster (>= 1.9.1), GO.db(>= 1.8.1), graphics, grDevices, KEGGREST(>= 1.30.1), multtest(>= 1.6.0), stats (>= 2.1.0)
Linking To
Suggests golubEsets(>= 1.0), vsn(>= 1.5.0), hu6800.db(>= 1.8.1)
System Requirements
Enhances
URL http://compdiag.molgen.mpg.de/software/adSplit.shtml
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Package Archives

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

Source Package adSplit_1.70.0.tar.gz
Windows Binary adSplit_1.70.0.zip (64-bit only)
macOS Binary (x86_64) adSplit_1.70.0.tgz
macOS Binary (arm64) adSplit_1.70.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/adSplit
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/adSplit
Bioc Package Browser https://code.bioconductor.org/browse/adSplit/
Package Short Url https://bioconductor.org/packages/adSplit/
Package Downloads Report Download Stats