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("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 | ||
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 |