Networked Feedback Systems in Biology: Difference between revisions
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theoretical foundation for a network science relevant to the | theoretical foundation for a network science relevant to the | ||
understanding and design of complex "systems of systems" | understanding and design of complex "systems of systems" | ||
typified | typified by biological networks. We are particularly focusing on the | ||
organizational principles underlying their ``robust yet | organizational principles underlying their ``robust yet | ||
fragile'' aspects, scalability, and evolvability, and | fragile'' aspects, scalability, and evolvability, and | ||
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familiar and concrete examples from biological networks and | familiar and concrete examples from biological networks and | ||
network-centric technologies. Biological examples will focus on | network-centric technologies. Biological examples will focus on | ||
intracellular regulatory networks | intracellular regulatory networks and intercellular communication. | ||
== Publications == | == Publications == | ||
* {{dm06-cdc}} | * {{dm06-cdc}} | ||
Revision as of 16:45, 27 June 2006
This is a joint project with John Doyle, funded by the ARO Institute for Collaborative Biotechnology. This page primarily describes the work done in Richard Murray's group.
Current participants:
- Mary Dunlop
- Elisa Franco (PhD student, CDS)
- Henrik Sandberg
- Johan Ugander
Objectives
We are developing a theoretical foundation for a network science relevant to the understanding and design of complex "systems of systems" typified by biological networks. We are particularly focusing on the organizational principles underlying their ``robust yet fragile aspects, scalability, and evolvability, and demonstrating progress with case studies of varying detail using familiar and concrete examples from biological networks and network-centric technologies. Biological examples will focus on intracellular regulatory networks and intercellular communication.
Publications
- Towards Biological System Identification: Fast and Accurate Estimates of Parameters in Genetic Regulatory Networks, Mary J. Dunlop and Richard M. Murray. Submitted, 2006 Conference on Decision and Control.
