the steps are the same. With a proper normalization of your expression matrix, microarray and rna-seq data are processed through WGCNA in the same way.
I'm learning WGCNA analysis. I've worked through the first part of WGCNA tutorial by Peter Langfelder and read related posts on both Biostars and Bioconductor …
Hi guys,I am doing microarray analysis on microarray data fr prostate cancer.which is the best r tool for gene coexpression anlysis...WGCNA,PETAL OR CEMITOOLS OR COEXNET....can …
Hello, I have generated a read count_matrix using DESeq2. I would like to construct co-expression network using WGCNA. For microarray data, they suggest to use …
<p>Hi, I am working on plant microarray data in drought condition. I am using WGCNA (R package) for building co-expression modules. In the tutorial, they …
<p>Dear BioStar community, </p> <p>Good day. </p> <p>I have analyzed my RNA-Seq data with edgeR (R Bioconductor). The differential expression (DE) gene lists of my …