title: GeneExpressionSignature: an R package for discovering functional connections using gene expression signatures.
abstract: Comparisons of gene expression signatures provide a way to explore functional connections among biological events in global aspects of cell response. GeneExpressionSignature is an R package developed for the large-scale analysis of gene expression signatures. The package implements two rank-merging algorithms and two similarity-scoring algorithms. The functions of GeneExpressionSignature provide a flexible solution for gene expression signature-based studies and hold great potential in biomedical research applications, such as drug repurposing. GeneExpressionSignature is released under GPL v2 within the Bioconductor project and is freely available at http://www.bioconductor.org/packages/release/bioc/html/GeneExpressionSignature.html .
authors: Beijing Institute of Radiation Medicine, Beijing, People's Republic of China.
authors: Fei
authors: F
authors: Li
authors: Yang
authors: Y
authors: Cao
authors: Lu
authors: L
authors: Han
authors: Xiuliang
authors: X
authors: Cui
authors: Dafei
authors: D
authors: Xie
authors: Shengqi
authors: S
authors: Wang
authors: Xiaochen
authors: X
authors: Bo
mesh_terms: D000465:Algorithms; D002460:Cell Line; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation / Q000187:drug effects; D053263:Gene Regulatory Networks; D006801:Humans; D020407:Internet; D012984:Software; D059467:Transcriptome