Please write a critique on the expression-based network inference methods we have discussed. Your critique should be 1-2 pages long, single spaced. Please submit your critique via canvas. Your critique should include ideas and algorithms covered in the following papers:

1. Using Bayesian Networks to Analyze Expression Data
2. Module networks 
3. GENIE3 Dependency networks

Please keep the following points in mind as you write your critique and address each in a separate section.

1. An overview of the general problem area these methods are addressing.

2. Briefly describe each method

3. How were the methods evaluated?

4. What novel insights were obtained using these methods?

5. What are the strengths and weaknesses of each method?

As an example, you can refer to these example critiques (Example1, Example2) that scored very highly. These critiques were written for a slightly different set of papers, but hopefully you can see these as examples of a good critique.