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

GeneExpressionSignature

Gene Expression Signature based Similarity Metric

Bioconductor version: 2.13

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>

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	Bioinformatics, GeneExpression, Software
Version	1.8.0
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_1.8.0.tar.gz
Windows Binary	GeneExpressionSignature_1.8.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	GeneExpressionSignature_1.8.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats