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License: GNU General Public License v3.0
helixlife-WGCNA-2018 https://github.com/xndless/helixlife-WGCNA-2018.git
License: GNU General Public License v3.0
老师,在做WGCNA时候有两个问题需要请教您,1:导出cytoscape文件做可视化的时候,很大,选择哪些基因做可视化呢,是根据weight值么?2:这样做的话,得到的结果和筛选的top25hub基因不太一致,怎么取舍?
为什么自己的数据跑程序出现这个错误“Error in goodGenes(datExpr, weights, goodSamples, goodGenes, minFraction = minFraction, :
datExpr must contain numeric data.” 自己的数据是数值
小赤老师,您好。学习了您的课程后受益匪浅,联系到自己感兴趣的研究方向,想请教您,wgcna可用于挖掘肿瘤病人化疗敏感性的相关基因吗?临床上的药敏性一般为名义变量,敏感或不敏感,那么药敏性可否作为表型数据与共表达模块关联?
看了很多次您的解螺旋视频中WGCNA,对着视频模拟做了一遍,但是我一直没有搞明白,视频中 您用的数据(liverfemale 3600, clinical trait.csv, gene annotation.csv)是GEO数据库里下载的?可否分别简单说一下我应该去哪里找这些数据😄,我在GEO数据库一直没有找到,遂冒昧问这个幼稚问题。见谅。
`代码如下,R中结果显示null device
sampleTree <- hclust(dist(datExpr0),method="average")
pdf("01.samples_cluster_tree.pdf",width=25,height=8)
par(mar=c(0,4,2,0))
plot(sampleTree,main="Sample clustering to detect outliers",sub="",xlab="")
cutHeight <- 15
abline(h=cutHeight,col="red")
dev.off()
##null device
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