DOI: 10.18129/B9.bioc.GeneExpressionSignature  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see GeneExpressionSignature.

Gene Expression Signature based Similarity Metric

Bioconductor version: 3.16

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")):


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biocViews GeneExpression, Software
Version 1.44.0
In Bioconductor since BioC 2.9 (R-2.14) (11.5 years)
License GPL-2
Depends R (>= 4.0)
Imports Biobase, stats, methods
Suggests apcluster, GEOquery, knitr, rmarkdown, BiocStyle
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