〇、Preface因为近期比较忙,没有时间进行详细解释,为了保证进度不断,以及把这个分享学习的工作持续下去,我采取了自制PPT的方式进行分享,如果希望找到原文,则为: WGCNA: an R package for weighted correlat…
对应函数pickSoftThreshold选择加权值,scaleFreePlot评估这个网络是否是无尺度拓扑网络。 2. 模块检测 模块里是一群高度相关的基因。WGCNA用非监督聚类(不事先设基因集),默认的方法是层次聚类,hclust函数。 层次聚类的一个缺点是,不能看到基因集里有多少个cluster。因此,这仍是一个学术争议,该怎样找到最好的cutting参...
This loosely defined term is used as an abbreviation of "highly connected gene." By definition, genes inside co-expression modules tend to have high connectivity. Gene significance GS To incorporate external information into the co-expression network, we make use of gene significance measures. Abstr...
While parts of the correlation network methodology have been described in separate publications, there is a need to provide a user-friendly, comprehensive, and consistent software implementation and an accompanying tutorial. The WGCNA R software package is a comprehensive collection of R functions for ...
WGCNA:an R package for weighted correlation network analysis外文部分.pdf,BMC Bioinformatics BioMed Central Software Open Access WGCNA: an R package for weighted correlation network analysis 1 2 Peter Langfelder and Steve Horvath* Address: 1Department of
1. Here we introduce an R software package that summa- rizes and extends our earlier work on weighted gene co- expression network analysis (WGCNA) [5,10-12]. WGCNA has been used to analyze gene expression data from brain cancer [10], yeast cell cycle [13], mouse genet- ...
To address this need, we introduce the WGCNA R package which also includes enhanced and novel functions for co-expression network analysis. Table 1 Glossary of WGCNA Terminology. Full size table Results Figure 1 provides an overview of typical analysis steps and the rationale behind them. To ...
WGCNA: an R package for weighted correlation network analysis Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems bio... P Langfelder,S Horvath - 《Bmc Bioinformatics》 被引量: 4872发表: 2008年 ...
WGCNA: an R package for weighted correlation network analysis thinkando撰写WGCNA: an R package for weighted correlation ne... - 简书
(WGCNA: an R package for weighted correlation network analysis.) 具体的算法和原理这里不作赘述,这本书里讲得很详细,然而站在我——生信小辣鸡的角度,可能看也看不懂,也用不上。。。 Horvath S (2011) Weighted Network Analysis. Applications in Genomics and Systems Biology. Springer Book. ISBN: 978-...