**50**wrote:

Dear this image resulted from plotting the result of picksoftthreshold function in WGCNA ![scale_free and mean connectivity][1] I need to ask what is the meaning of the sft result from using picksoftthreshold function in WGCNA as this result is considered as a list contain powerestimate which equal to 18 in my case and fitindices dataframe that contain 7 columns [ power, SFT.R.sq,slope,truncated.R.sq,mean.k.,median.k.,max.k.]. First: I just need to understand this dataframe and how power 18 is decided to be a power of my data. Second: What is the importance of mean connectivity plot ?, has it a role in determination of power ?. Third: what is the difference between networktype and TOMtype in blockwiseModules function?.

Note: that my data is expression of multiomics data contain 153 samples and 924 genes.

Honestly, it is the first time for me to use WGCNA and I used this tutorial as a guide: https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/FemaleLiver-02-networkConstr-auto.pdf + video for its author:

but there is no step mention adjacency matrix, if there is another tutorial use adjacency I will be grateful to send me it.

50because that is the automatic one-step network construction tutorial. Instead, look at the step-by-step tutorial if you want to understand how wgcna works. Here the description of the

`blockwiseModules`

function1.1k