GeneExpressionSignature: an R package for discovering functional connections using gene expression signatures

被引：16

作者：

Li, Fei ^{[1
]}

Cao, Yang ^{[1
]}

Han, Lu ^{[1
]}

Cui, Xiuliang ^{[1
]}

Xie, Dafei ^{[1
]}

Wang, Shengqi ^{[1
]}

Bo, Xiaochen ^{[1
]}

机构：

[1] Beijing Inst Radiat Med, Beijing 100850, Peoples R China

来源：

OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY | 2013年 / 17卷 / 02期

关键词：

SET ENRICHMENT; PROFILES; DISEASE;

D O I：

10.1089/omi.2012.0087

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

引用

页码：116 / 118

页数：3