GeneExpressionSignature

Gene Expression Signature based Similarity Metric

Bioconductor version: 2.9

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 <amms.yang.cao at gmail.com>, Fei Li <pittacus at gmail.com>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("GeneExpressionSignature")

Documentation

PDF GeneExpressionSignature
PDF   Reference Manual

Details

biocViews Bioinformatics, GeneExpression
Depends Biobase
Imports
Suggests
System Requirements
License GPL-2
URL
Depends On Me
Imports Me
Suggests Me
Version 1.0.0
Since Bioconductor 2.9 (R-2.14)

Package Downloads

Package Source GeneExpressionSignature_1.0.0.tar.gz
Windows Binary GeneExpressionSignature_1.0.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary GeneExpressionSignature_1.0.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center