GeneExpressionSignature

This is the development version of GeneExpressionSignature; for the stable release version, see GeneExpressionSignature.

Gene Expression Signature based Similarity Metric


Bioconductor version: Development (3.21)

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 [aut, cre], Fei Li [ctb], Lu Han [ctb]

Maintainer: Yang Cao <yiluheihei at gmail.com>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews GeneExpression, Software
Version 1.53.0
In Bioconductor since BioC 2.9 (R-2.14) (13 years)
License GPL-2
Depends R (>= 4.0)
Imports Biobase, stats, methods
System Requirements
URL https://github.com/yiluheihei/GeneExpressionSignature
Bug Reports https://github.com/yiluheihei/GeneExpressionSignature/issues/
See More
Suggests apcluster, GEOquery, knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package GeneExpressionSignature_1.53.0.tar.gz
Windows Binary (x86_64) GeneExpressionSignature_1.53.0.zip
macOS Binary (x86_64) GeneExpressionSignature_1.53.0.tgz
macOS Binary (arm64) GeneExpressionSignature_1.53.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GeneExpressionSignature
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GeneExpressionSignature
Bioc Package Browser https://code.bioconductor.org/browse/GeneExpressionSignature/
Package Short Url https://bioconductor.org/packages/GeneExpressionSignature/
Package Downloads Report Download Stats