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This article Xiaobian for you to introduce in detail "WGCNA how to screen hub gene according to KME value", the content is detailed, the steps are clear, and the details are handled properly. I hope this article "WGCNA how to screen hub gene according to KME value" can help you solve your doubts.

In WGCNA analysis, we need to find out the hub gene in the co-expression network.

Here, the hub gene: Hub genes are those that show most connections in the network as indicated by their high KME (eigengene connectivity) value can be screened according to: KME (eigengene connectivity) value.

The code part is very simple, output the KME matrix of all genes and modules, and then screen the first few genes with the largest kme in each module is the hub gene:

# mergedMEs is the module characteristic gene corresponding to the final module after the merger of similar modules: MEs = mergedMEs# output result: datKME=signedKME (datExpr, MEs, outputColumnName= "kME_MM.") write.csv (datKME, "kME_MM_test.csv") here, this article "how to screen hub genes based on KME values" has been introduced. If you want to master the knowledge points of this article, you still need to practice and use it yourself. If you want to know more about related articles, welcome to follow the industry information channel.

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