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 (3.1)

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 1.14.0
In Bioconductor since BioC 2.9 (R-2.14) (3.5 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_1.14.0.tar.gz
Windows Binary GeneExpressionSignature_1.14.0.zip
Mac OS X 10.6 (Snow Leopard) GeneExpressionSignature_1.14.0.tgz
Mac OS X 10.9 (Mavericks) GeneExpressionSignature_1.14.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center