Question: WGCNA - focusing on one single gene
0
gravatar for iriswt
16 months ago by
iriswt0
iriswt0 wrote:

Hi everyone!

I am absolutely new to R but I need to construct gene networks based on co-expression. The problem is that I only want to look at the genes that are co-expressed with one single gene of interest across different RNA-seq datasets from tumors. I've read through the tutorials but realized that this package is usually used for exploring networks of all the genes present in the datasets. Is there a way to just focus on one particular gene of interest as the 'hub gene' already from the begining? Or is there any other software/program that can serve this purpose better?

(sorry if this sounds ignorant but any help would be appreciated!)

Iris

R rna-seq co-expression wgcna • 515 views
ADD COMMENTlink modified 16 months ago by Kevin Blighe60k • written 16 months ago by iriswt0
0
gravatar for Kevin Blighe
16 months ago by
Kevin Blighe60k
Kevin Blighe60k wrote:

You likely are referring to the 'first nearest neighbours' [of a node/vertex]. In WGCNA, you can use this function: nearestNeighborConnectivity.

As you imply, checking the vertex hub score can help too. Other metrics include

  • vertex degree
  • betweenness centrality
  • closeness centrality
ADD COMMENTlink written 16 months ago by Kevin Blighe60k
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