# 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。
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You can install the released version of GeneExpressionSignature from [Bioconductor](http://www.bioconductor.org/packages/GeneExpressionSignature)
if (!requireNamespace("BiocManager", quietly=TRUE))
Or install the development version from github
if (!requireNamespace("remotes", quietly=TRUE))
**Authors**: Yang Cao <https://caoyang.tech>
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](https://doi.org/10.1089/omi.2012.0087). *Omics: a journal of integrative biology*, 2013 17(2):116-8.
Your contributions are always welcome!
Please note that the GeneExpressionSignature project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.