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Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis.In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by...

Systems Biology is moving away from the mathematical modeling and subsequent analysis of systems to a full statistical analysis and probabilistic reasoning over the inferences that can be made from these modeling exercises. There is a need for a comprehensive handbook covering the major themes in the area.