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Gene Expression Signature based Similarity Metric

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

GeneExpressionSignature HTML R Script
Reference Manual PDF


biocViews GeneExpression, Software
Version 1.50.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 years)
License GPL-2
Depends R (>= 4.0)
Imports Biobase, stats, methods
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Suggests apcluster, GEOquery, knitr, rmarkdown, BiocStyle
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Follow Installation instructions to use this package in your R session.

Source Package GeneExpressionSignature_1.50.0.tar.gz
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macOS Binary (x86_64) GeneExpressionSignature_1.50.0.tgz
macOS Binary (arm64) GeneExpressionSignature_1.50.0.tgz
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