Webb15 juli 2024 · 2.2.2 一步法网络模块构建与识别. 先贴上这么一段话,看完2.2.2、2.2.3和2.2.4再来看一遍,会有很好的效果哟:. We present three different ways of constructing a network and identifying modules: a. Using a convenient 1-step network construction and module detection function, suitable for users wishing to arrive ... http://www.bio-info-trainee.com/2535.html
R语言WGCNA包函数列表及帮助文档 - 爱数吧
Webb24 dec. 2024 · 1、选择合适的软阈值(soft thresholding power)即beta值 rm (list = ls) load (file = "01-dataInput.RData") enableWGCNAThreads #多线程工作 powers = c (1:20) … Webb## [1] "datExpr" "datTraits" Automatic network construction and module detection; WGCNA的第一个重要参数,就是构建相邻矩阵是的power函数的参数β.首先需要选择合适的soft-thresholding power. 在WGCNA中,使用pickSoftThreshold()函数.一般需要选择一系列candidate powers,然后根据结果进行选择.. 注意,这段代码在Rstudio中不能运行,运行出错 ... creative depot blog
R语言错误:没有“forecast.HoltWinters“这个函数解决方法
Webbsft = pickSoftThreshold(datExpr, powerVector = powers, verbose = 5) # Plot the results:输出结果. sizeGrWindow(9, 5) par(mfrow = c(1,2)); cex1 = 0.9; # Scale-free topology fit … Webb15 maj 2024 · sft = pickSoftThreshold(five, powerVector = powers, verbose = 5) 运行结果及报错内容. Error in pickSoftThreshold(five, powerVector = powers, verbose = 5) : could … Webb22 jan. 2024 · pickSoftThreshold( data, dataIsExpr = TRUE, weights = NULL, RsquaredCut = 0.85, powerVector = c(seq(1, 10, by = 1), seq(12, 20, by = 2)), removeFirst = FALSE, … creative depot stempel weihnachten