加权基因共表达网络分析(Weighted Gene Co-expression Network Analysis,简称 WGCNA)是一种用于分析基因表达数据中基因之间相互关系的方法。 它通过构建基因表达的加权网络,利用基因之间的共表达模式来识别与特定表型(如疾病状态、性别、环境条件等)相关的基因模块。 WGCNA 通过计算基因对之间的相关性,构建加权基因共表达网...
weighted gene correlation network analysisAs the most commonly diagnosed malignant tumor in female population, the prognosis of breast cancer is affected by complex gene interaction networks. In this research weighted gene co〆xpression network analysis (WGCNA) would be utilized to build a gene co〆...
Weighted gene co-expression network analysis The interactive connection among the co-expression modules was studied using the WGCNA algorithm. The WGCNA R software package (http://www.r-project.org/) can be used to determine network construction, the calculation of topological properties, gene select...
基因表达分析geneGene 系统标签: weightedgenenetworkexpressionanalysis基因 1 Weighted Gene Co-expression Network Analysis (WGCNA) R Tutorial, Part A Brain Cancer Network Construction Steve Horvath Correspondence: shorvath@mednet.ucla.edu, http://.ph.ucla.edu/biostat/people/horvath.htm This is part A...
Peanut (Arachis hypogaea L.) is an important oilseed crop worldwide. However, soil salinization becomes one of the main limiting factors of peanut production. Therefore, developing salt-tolerant varieties and understanding the molecular mechanisms of sal
Here we can use the relatively new analysis methods in genomics, such as weighted gene co expression analysis, unsupervised deconvolution method, to solve this kind of analysis problem. The weighted gene co-expression network analysis (WGCNA) method, assuming that all kinds of proteins in the ...
A total of 13,591 meta-genes were identified from the datasets across three species (i.e.,Bos Taurus, Ovis aries,andBubalus bubalis) (Supplementary File4). To identify genes that have a strong correlation among the meta-genes, a weighted gene co-expression network analysis (WGCNA) was perfo...
G008 Weighted Gene Co-expression Network Analysis (WGCNA)加权基因网络表达分析 service 基因表达列表 加权基因网络表达分析需要多个样品的数据,从而对基因在多样品中的表达规律进行总结,所以对样品数有一定的要求(>10)。 多样品表达列表如下: 加权基因网络构建...
Then, using weighted gene co-expression network analysis (WGCNA), which takes advantage of a graph theoretical approach, highly correlated genes were clustered as a module. Subsequently, connectivity patterns of the identified modules in two conditions were surveyed to define preserved and non-...
Weighted gene co-expression network analysis was explored to find key hub genes involved in plant height regulation. Plant height, an important trait for m