knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
FastWGCNA would do a standard WGCNA for given normalized matrix and design object.
## data prepration library(lucky) data("rna.fpkm") data("rna.design") ## WGCNA with no local check.Select first 3000 genes into WGCNA wgcna <- FastWGCNA(expr.matrix = rna.fpkm, design = rna.design, log.convert = T, check = F, contrast.col = "N.status", contrast.control = "N0", mad.portion = 3000, maxBlockSize = 5000, cutoff.pval = 0.05, corType = "pearson", hub_cutoffSigGM=0.15, hub_MM = 0.8, hub_WeightedQ = 0.05, report = F, save.path = "WGCNA-test", names = "love")
## explore Module-Trait relationship in uni-/multi-dataset
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