Hello All,
I am very new to bioinformatics and biological data , please bare with my question.
I have differential expression data of three, Parental cellines(drug sensitive ) and 10 isoforms (made resistant to the drug) by these three parental cells.
Is the data enough to generate a coexpression network.?
I Have tried constructing it using GWENA , and was also successful but I am not confident about it because of two reasons one number of samples and second can isoforms be treated as samples or not.
I would really appreciate any suggestions and anr reading resource that can be helpful in this regard.
Thankyou
Isoform expression data should not be treated as samples in co-expression network analysis, as they represent different biological conditions or experimental treatments. While isoforms offer valuable insights into gene regulation and functional diversity, treating them as samples may lead to incorrect interpretations.
Thankyou so much Susanta for your reply ,
can you suggest way of network analysis on this data or any good resource to read relevant to this
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