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In modeling a gene regulatory network by a Boolean network (BN), regulation functions represent the rules of regulatory interactions among genes. That means, via a regulation function, any given gene transforms its inputs (regulatory factors that bind to it) to an output, which is a state or expression of the gene itself; see for instance Shmulevich et al. (2002).
The following is an example of a BN having two genes, with the regulation rules given in Table 1.
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References
Shmulevich I, Dougherty E, Kim S, Zhang W (2002) From Boolean to probabilistic Boolean networks as models of genetic regulatory networks. In: Proceedings of the IEEE, vol 90, pp 1778–1792
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Chen, X., Ching, WK., Tsing, NK. (2013). Regulation Function. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_378
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DOI: https://doi.org/10.1007/978-1-4419-9863-7_378
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