Beijing Institute of Radiation Medicine, Beijing, People's Republic of China.
OMICS. 2013 Feb;17(2):116-8. doi: 10.1089/omi.2012.0087.
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 .
基因表达特征的比较提供了一种从细胞反应的全局角度探索生物事件之间功能联系的方法。GeneExpressionSignature 是一个为大规模基因表达特征分析而开发的 R 包。该包实现了两种排序合并算法和两种相似性评分算法。GeneExpressionSignature 的功能为基于基因表达特征的研究提供了一个灵活的解决方案,并在药物再利用等生物医学研究应用中具有巨大的潜力。GeneExpressionSignature 在 Bioconductor 项目下以 GPLv2 发布,可在 http://www.bioconductor.org/packages/release/bioc/html/GeneExpressionSignature.html 免费获得。
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