How to choose between signed vs unsigned network ?


    sft=pickSoftThreshold(datExpr,dataIsExpr = TRUE,powerVector = powers,corFnc = cor,corOptions = list(use = 'p'),networkType = "signed")
    
    adj= adjacency(datExpr,type = "unsigned", power = softPower)
    
    TOM=TOMsimilarityFromExpr(datExpr,networkType = "signed", TOMType = "unsigned", power = softPower)

These are the three lines where i have to defined signed or unsigned type i read through Peter Langfelder blog but still im not much clear about

Any suggestion would be highly appreciated 


I think the "sign" represents the sign of weight on the edges. If you care about the sign, for example sign represents positive or negative regulation between two nodes, then you need to choose "signed". On the other hand, if the weight just represent the strength of relatedness between two nodes, you might don't care positive or negative, so you need to choose "unsigned". That really depends on your needs.
