Bioconductor version: Release (2.12)
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>
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")
    | GeneExpressionSignature | ||
| Reference Manual | 
| biocViews | Bioinformatics, GeneExpression, Software | 
| Version | 1.6.0 | 
| 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 Source | GeneExpressionSignature_1.6.0.tar.gz | 
| Windows Binary | GeneExpressionSignature_1.6.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | GeneExpressionSignature_1.6.0.tgz | 
| Package Downloads Report | Download Stats | 
 
  
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