To install this package, start R and enter:

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

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

GeneExpressionSignature

   

This package is for version 2.12 of Bioconductor; for the stable, up-to-date release version, see GeneExpressionSignature.

Gene Expression Signature based Similarity Metric

Bioconductor version: 2.12

This package gives the implementations of the gene expression signature and its distance to each. Gene expression signature is represented as a list of genes whose expression is correlated with a biological state of interest. And its distance is defined using a nonparametric, rank-based pattern-matching strategy based on the Kolmogorov-Smirnov statistic. Gene expression signature and its distance can be used to detect similarities among the signatures of drugs, diseases, and biological states of interest.

Author: Yang Cao

Maintainer: Yang Cao <yiluheihei at gmail.com>, Fei Li <pittacus at gmail.com>,Lu Han <hanl8910 at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("GeneExpressionSignature")

 

PDF GeneExpressionSignature
PDF   Reference Manual

Details

biocViews Bioinformatics, GeneExpression, Software
Version 1.6.0
In Bioconductor since BioC 2.9 (R-2.14) (4.5 years)
License GPL-2
Depends R (>= 2.13), Biobase, PGSEA
Imports
LinkingTo
Suggests apcluster, GEOquery
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 GeneExpressionSignature_1.6.0.tar.gz
Windows Binary GeneExpressionSignature_1.6.0.zip
Mac OS X 10.6 (Snow Leopard) GeneExpressionSignature_1.6.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GeneExpressionSignature/tree/release-2.12
Package Short Url http://bioconductor.org/packages/GeneExpressionSignature/
Package Downloads Report Download Stats

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