Statistics and Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA.
Bioinformatics. 2012 Jul 15;28(14):1939-40. doi: 10.1093/bioinformatics/bts268. Epub 2012 May 16.
R/EBcoexpress implements the approach of Dawson and Kendziorski using R, a freely available, open source statistical programming language. The approach identifies differential co-expression (DC) by examining the correlations among gene pairs using an empirical Bayesian approach, producing a false discovery rate controlled list of DC pairs. This interrogation of DC gene pairs complements but is distinct from differential expression analyses, under the general goal of understanding differential regulation across biological conditions.
R/EBcoexpress is freely available and hosted on Bioconductor; a source file and vignette may be found at http://www.bioconductor.org/packages/release/bioc/html/EBcoexpress.html
R/EBcoexpress 实现了 Dawson 和 Kendziorski 使用 R 的方法，R 是一种免费的、开源的统计编程语言。该方法通过使用经验贝叶斯方法检查基因对之间的相关性来识别差异共表达（DC），从而生成一组受控制的虚假发现率的 DC 对列表。这种对 DC 基因对的分析是对差异表达分析的补充，但又有所不同，其总体目标是了解在不同生物条件下的差异调控。
R/EBcoexpress 是免费提供的，并托管在 Bioconductor 上；源文件和实例可以在 http://www.bioconductor.org/packages/release/bioc/html/EBcoexpress.html 找到。
