To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GeneExpressionSignature")
In most cases, you don't need to download the package archive at all.
This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see GeneExpressionSignature.
Bioconductor version: 2.10
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>
Citation (from within R,
enter citation("GeneExpressionSignature")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GeneExpressionSignature")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GeneExpressionSignature")
Follow Installation instructions to use this package in your R session.
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