To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("GeneExpressionSignature")

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

GeneExpressionSignature

Gene Expression Signature based Similarity Metric

Bioconductor version: Release (3.0)

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:

source("http://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 GeneExpression, Software
Version 1.12.0
In Bioconductor since BioC 2.9 (R-2.14)
License GPL-2
Depends R (>= 2.13), Biobase, PGSEA
Imports
Suggests apcluster, GEOquery
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source GeneExpressionSignature_1.12.0.tar.gz
Windows Binary GeneExpressionSignature_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) GeneExpressionSignature_1.12.0.tgz
Mac OS X 10.9 (Mavericks) GeneExpressionSignature_1.12.0.tgz
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