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. © 2007 Markowetz and Spang; licensee BioMed Central Ltd.
CITATION STYLE
Markowetz, F., & Spang, R. (2007, September 27). Inferring cellular networks - A review. BMC Bioinformatics. https://doi.org/10.1186/1471-2105-8-S6-S5
Mendeley helps you to discover research relevant for your work.