Creating a differential expression network

Question

[mavy]

Hello,

I am new to bioinformatics so kindly guide and suggest. I have done the RNASEQ analysis on cancerous sensitive and resistant cellines. Using deseq2 I have got the differential expression results now I want to compare the resistant and sensitive conditions through network. I have two questions:

1. What is the main difference in coexpression network and differential expression network?
2. How to create a differential expression network in R?

I would really appreciate any help.

Thanks

[seidel]

Have you done any reading? There are a lot of resources to get started. Tried any packages? (e.g. GWENA, hCoCena, etc.? each of those has several links to follow - what they cite, and what they are cited by).

[mavy]

Thanks for your reply Yes I have used GWENA and created the coexpression network but while exploring more I came across differential expression network and I didnt came across any good resource for differential expression network basic and introductory knowledge thats why I posted here .. And one more question I wanted to compare the networks of two condition may be treated or untreated and sensitive and resistant but in the GWENA they took the two condition and formed one network coexpression network .

I have computer science background and new to the bioinformatics field may be my questions may sound a little basic level .. I would appreciate if any relevant reading resources could be shared too.

Thankyou :)