To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GeneSelector")

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

GeneSelector

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see GeneSelector.

Stability and Aggregation of ranked gene lists

Bioconductor version: 3.4

The term 'GeneSelector' refers to a filter selecting those genes which are consistently identified as differentially expressed using various statistical procedures. 'Selected' genes are those present at the top of the list in various ranking methods (currently 14). In addition, the stability of the findings can be taken into account in the final ranking by examining perturbed versions of the original data set, e.g. by leaving samples, swapping class labels, generating bootstrap replicates or adding noise. Given multiple ranked lists, one can use aggregation methods in order to find a synthesis.

Author: Martin Slawski <ms at cs.uni-sb.de>, Anne-Laure Boulesteix <boulesteix at ibe.med.uni-muenchen.de>.

Maintainer: Martin Slawski <ms at cs.uni-sb.de>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GeneSelector")

Documentation

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

browseVignettes("GeneSelector")

 

PDF R Script GeneSelector.pdf
PDF   Reference Manual

Details

biocViews DifferentialExpression, Software, StatisticalMethod
Version 2.24.0
In Bioconductor since BioC 2.2 (R-2.7) (9 years)
License GPL (>= 2)
Depends R (>= 2.5.1), methods, stats, Biobase
Imports multtest, siggenes, samr, limma
LinkingTo
Suggests multtest, siggenes, samr, limma
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source GeneSelector_2.24.0.tar.gz
Windows Binary GeneSelector_2.24.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) GeneSelector_2.24.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GeneSelector/tree/release-3.4
Package Short Url http://bioconductor.org/packages/GeneSelector/
Package Downloads Report Download Stats

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