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Abstract: this paper is the Boolean formalism as a building block for modeling complex, large-scale, and dynamical networks of genetic interactions. We discuss the goals of modeling genetic networks as well as the data requirements. The Boolean formalism is justified from several points of view. We then introduce Boolean networks and discuss their relationships to nonlinear digital filters. The role of Boolean networks in understanding cell differentiation and cellular functional states is discussed. The ... (Update)
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BibTeX entry: (Update)
I. Shmulevich, E. R. Dougherty, and W. Zhang, "From Boolean to probabilistic Boolean networks as models of genetic regulatory networks," Proceedings of the IEEE, vol. 90, no. 11, pp. 1778--1792, 2002. http://citeseer.ist.psu.edu/shmulevich02from.html More
@misc{ shmulevich02from,
author = "I. Shmulevich and E. Dougherty and W. Zhang",
title = "From Boolean to probabilistic Boolean networks as models of genetic regulatory
networks",
text = "I. Shmulevich, E. R. Dougherty, and W. Zhang, From Boolean to probabilistic
Boolean networks as models of genetic regulatory networks, Proceedings of
the IEEE, vol. 90, no. 11, pp. 1778--1792, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/shmulevich02from.html" }
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