【latex版】水贴

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Boolean models are a drastic simplification of biological reality, but they have produced valuable results in the past and are especially suited for developmental gene regulatory networks (e.g., Macía et al., 2009).

Using them it is possible to model large networks and study their dynamic behavior while leaving out details such as kinetic constants that are usually unknown in real world examples (Kauffman, 2004).

Boolean networks limit the state of a gene to either ON or OFF and describe connections between the genes by using logical operators, e.g., AND, OR, NOT (generally written as ∧, ∨, and (¬ in mathematical formulas).

For example if two transcription factors A and B are needed to activate gene C this would translate to the logical function C(t + 1) = A(t)∧B(t).

For example if two transcription factors A and B are needed to activate gene C this would translate to the logical function C(t + 1) = A(t)∧B(t).