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# GeneExpressionSignature: an R package for discovering functional connections using gene expression signatures 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。 <!-- badges: start --> <!-- badges: end --> ## Installation You can install the released version of GeneExpressionSignature from [Bioconductor]( with: ``` r if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install(GeneExpressionSignature) ``` Or install the development version from github ```r if (!requireNamespace("remotes", quietly=TRUE)) install.packages("remotes") remotes::install_github("yiluheihei/GeneExpressionSignature") ``` ## Citation **Authors**: Yang Cao <> If you use this package in your research, please cite: Li F, Cao Y, Han L, Cui X, Xie D, Wang S, Bo X. [GeneExpressionSignature: an R package for discovering functional connections using gene expression signatures]( *Omics: a journal of integrative biology*, 2013 17(2):116-8. ## Contribution Your contributions are always welcome! Please note that the GeneExpressionSignature project is released with a [Contributor Code of Conduct]( By contributing to this project, you agree to abide by its terms.