GeneExpressionSignature

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see GeneExpressionSignature.

Gene Expression Signature based Similarity Metric


Bioconductor version: 3.9

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 <yiluheihei at gmail.com>, Fei Li <pittacus at gmail.com>,Lu Han <hanl8910 at gmail.com>

Citation (from within R, enter citation("GeneExpressionSignature")):

Installation

To install this package, start R (version "3.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GeneExpressionSignature")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GeneExpressionSignature")
GeneExpressionSignature PDF R Script
Reference Manual PDF

Details

biocViews GeneExpression, Software
Version 1.30.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 years)
License GPL-2
Depends R (>= 2.13), Biobase, PGSEA
Imports
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Suggests apcluster, GEOquery
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GeneExpressionSignature_1.30.0.tar.gz
Windows Binary GeneExpressionSignature_1.30.0.zip
Mac OS X 10.11 (El Capitan) GeneExpressionSignature_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GeneExpressionSignature
Source Repository (Developer Access) git clone [email protected]:packages/GeneExpressionSignature
Bioc Package Browser https://code.bioconductor.org/browse/GeneExpressionSignature/
Package Short Url https://bioconductor.org/packages/GeneExpressionSignature/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive