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Interactions between the genes are modeled using Boolean functions.
The GRN is modeled using Boolean logic gates and all possible single faults are enumerated.
The dependency between genes and reactions was modeled using Boolean rules, known as GPR (Gene-Protein-Reaction associations) [ 22].
In this section, we first explain how biological pathways can be modeled using Boolean networks and then define Qualitative networks.
Interactions between the regulatory and metabolic networks are also modeled using Boolean approaches by turning on or off metabolic gene expression in response to transcriptional factor (TF) status.
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In the face of parameter uncertainty, modeling using Boolean networks can produce qualitative predictions at the right level of detail for many applications.
This behaviour would not have been possible to simulate using Boolean modelling where D-glucose would harbour only two states.
For example, a network of segment polarity regulation in Drosophila development modeled by kinetic gene interactions [40], was subsequently also successfully modeled using a Boolean network model [15].
Crosstalk between species is modeled using continuous functions analogous to Boolean AND and OR operations (see Methods).
The combination of the decision region of RDP models, by using boolean operations, is also discussed.
The system connects to a geometric modeling kernel of a commercial CAD package; the system places features on top of the base model facade using boolean operations from the core geometric engine via its programming interface calls.
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