We investigate the use of an extension of rule-based modelling for cellular signalling to create a structured space of model variants. This enables the incremental development of rule sets that start from simple mechanisms and which, by a gradual increase in agent and rule resolution, evolve into more detailed descriptions.
CITATION STYLE
Harmer, R. (2009). Rule-based modelling and tunable resolution. In Electronic Proceedings in Theoretical Computer Science, EPTCS (Vol. 9, pp. 65–72). Open Publishing Association. https://doi.org/10.4204/EPTCS.9.8
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