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.
Bioconductor version: Release (3.5)
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:
## 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")
R Script | GeneExpressionSignature | |
Reference Manual |
biocViews | GeneExpression, Software |
Version | 1.22.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (6 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 | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GeneExpressionSignature_1.22.0.tar.gz |
Windows Binary | GeneExpressionSignature_1.22.0.zip |
Mac OS X 10.11 (El Capitan) | GeneExpressionSignature_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GeneExpressionSignature |
Package Short Url | http://bioconductor.org/packages/GeneExpressionSignature/ |
Package Downloads Report | Download Stats |
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