Date of Award:
Master of Science (MS)
Electrical and Computer Engineering
Synthetic biological designers are demanding tools to help with the design and verification process of new biological models. Some of the most common tools available aggregate multiple simulation results into one “clean” trajectory that hopefully is representative of the system’s behavior. However, for systems exhibiting multiple stable states, these techniques fail to show all the possible trajectories of the system. This work introduces a method capable of detecting the presence of more than one “typical” trajectory in a system, which can also be integrated with other available simulation tools.
Monzon, Eduardo, "An Algorithm to Recognize Multi-Stable Behavior From an Ensemble of Stochastic Simulation Runs" (2013). All Graduate Theses and Dissertations. 2035.
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