Network Structure and Biological Function: Reconstruction, Modeling, and Statistical Approaches
2009

Network Structure and Biological Function

Editorial

Author Information

Author(s): Joachim Selbig, Matthias Steinfath, Dirk Repsilber

Primary Institution: University of Potsdam

Hypothesis

How is our picture of the relationship between network structure and biological function affected by the choice of methods?

Conclusion

The special issue integrates various studies on reverse engineering methods and their implications for understanding biological networks.

Supporting Evidence

  • Several studies focus on reverse engineering methods for biological networks.
  • The issue includes contributions from a workshop on systems biology and heterosis.
  • Comparative studies highlight the effectiveness of different reverse engineering techniques.

Takeaway

This study looks at how the structure of biological networks affects their function and how we can better understand this relationship through different methods.

Methodology

The authors reviewed various studies on reverse engineering methods and their applications to biological networks.

Limitations

Theoretical approaches dominate the field, and more experimental data applications are needed.

Digital Object Identifier (DOI)

10.1155/2009/714985

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