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.

http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=1995541&blobtype=pdf

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