To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("GeneExpressionSignature")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
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")
):
To install this package, start R and enter:
source("http://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")
GeneExpressionSignature | ||
Reference Manual |
biocViews | GeneExpression, Software |
Version | 1.10.0 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | GeneExpressionSignature_1.10.0.tar.gz |
Windows Binary | GeneExpressionSignature_1.10.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | GeneExpressionSignature_1.10.0.tgz |
Mac OS X 10.9 (Mavericks) | GeneExpressionSignature_1.10.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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