The Robustness of Biological Networks and Processes

It is believed that the robustness plays a crucial role in determining the advantage of biological network and processes; but how to understand and quantify the robustness still remains a major question. We study the robustness of a biological network from a global perspective, by employing a non-deterministic Markov Chain model and explore the energy landscape structure for the network. We also propose to take advantage of the new K-SAT algorithm Survey Propagation to estimate the number of suitable biological networks given a necessary biological process they need to satisfy, which is also a crucial parameter characterizing the robustness of the process.

Author

• Fan, Bin

Language

• en

Keyword

• robustness
• budding yeast
• network
• landscape

Date created

• 2012

Type of Work

• Master's Thesis

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Physics

Degree

• M.S.

Advisor

• Zeng, Chen

Committee Member(s)

• Peng, Weiqun

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/nc580m738