I have the RNA-seq data of three different patients which are sensitive to a particular drug. Then resistant isoforms are created through in vivo experiments (2-3 from each sensitive cell lines). I want to create a coexpression network to apply network analysis on it. The data I have is in the biological triplicates. In one condition there can be around 8-10 samples (3 sensitive parental cell-lines , and 5-7 resistant isoforms)
Is this data enough for generating the coexpression network?
If not then any suggestions how can I apply the network analysis on this gene expression profile.
I have tried creating the co-expression network using GWENA , and also got successful in generating the network but I am a little uncertain about its authenticity (because of the number of samples)
I would really appreciate any guidance.
