STRINGgaussNet：从差异表达基因到语义和高斯网络的生成。
stringgaussnet: from differentially expressed genes to semantic and Gaussian networks generation.
机构信息
Inserm U1173 and University of Versailles Saint-Quentin, 78180 Montigny-le-Bretonneux, France and.
Inserm U1173 and University of Versailles Saint-Quentin, 78180 Montigny-le-Bretonneux, France and Division of Genetics, Ambroise Paré Hospital, 92100 Boulogne-Billancourt, France.
出版信息
Bioinformatics. 2015 Dec 1;31(23):3865-7. doi: 10.1093/bioinformatics/btv450. Epub 2015 Jul 30.
MOTIVATION
Knowledge-based and co-expression networks are two kinds of gene networks that can be currently implemented by sophisticated but distinct tools. We developed stringgaussnet, an R package that integrates both approaches, starting from a list of differentially expressed genes.
CONTACT
AVAILABILITY AND IMPLEMENTATION
Freely available on the web at http://cran.r-project.org/web/packages/stringgaussnet.
动机
基于知识的和共表达网络是目前可以通过复杂但不同的工具实现的两种基因网络。我们开发了 stringgaussnet，这是一个 R 包，它可以从一组差异表达基因开始，整合这两种方法。
联系人
可用性和实现
可在 http://cran.r-project.org/web/packages/stringgaussnet 上免费获得。
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