GeneExpressionSignature

DOI: 10.18129/B9.bioc.GeneExpressionSignature    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see GeneExpressionSignature.

Gene Expression Signature based Similarity Metric

Bioconductor version: 3.7

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 R Script GeneExpressionSignature
PDF   Reference Manual

Details

biocViews GeneExpression, Software
Version 1.26.0
In Bioconductor since BioC 2.9 (R-2.14) (7 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
Links To Me
Build Report  

Package Archives

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

Source Package GeneExpressionSignature_1.26.0.tar.gz
Windows Binary GeneExpressionSignature_1.26.0.zip
Mac OS X 10.11 (El Capitan) GeneExpressionSignature_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GeneExpressionSignature
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GeneExpressionSignature
Package Short Url http://bioconductor.org/packages/GeneExpressionSignature/
Package Downloads Report Download Stats

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