Robustness in Feed-Forward Loops: Clustering of Responses
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چکیده
Even for models of very simple networks, like those in Chapters 2 and 3, describing the system requires many parameters. These parameters are often unknown or uncertain. Consequently, predicting the response of a gene circuit may require infering gene circuit function from data on circuit structure alone. By using the feed-forward loop as a model system, this chapter introduces a technique for classifying gene circuit function given a set structure. Temporal responses of a comprehensive set of feed-forward loop models are calculated for a range of parameter values. The responses are clustered, and the relation between clusters and circuit types is analyzed. Some designs are robust, producing one unique type of response regardless of parameter selection. Other designs may exhibit a variety of responses, depending upon parameter values.
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