Inferring cellular networks – a review

 In this review we give an overview of computational and statistical methods to reconstruct cellular
networks. Although this area of research is vast and fast developing, we show that most currently
used methods can be organized by a few key concepts. The first part of the review deals with
conditional independence models including Gaussian graphical models and Bayesian networks. The
second part discusses probabilistic and graph-based methods for data from experimental
interventions and perturbations.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s