The perhaps most important signaling network in living cells is constituted by the interactions of proteins with the genome—the gene regulatory network of the cell. From a system level point of view, the various interactions and control loops, which form a genetic network, represent the basis upon which the vast complexity and flexibility of life processes emerges. Here we review ways by which artificial intelligence approaches can help gaining a more quantitative understanding of regulatory genetic networks at the systems level.
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© 2004 Springer
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Stetter, M., Schürmann, B., Dejori, M. (2004). Systems Level Modeling of Gene Regulatory Networks. In: Dubitzky, W., Azuaje, F. (eds) Artificial Intelligence Methods And Tools For Systems Biology. Computational Biology, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5811-0_10
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DOI: https://doi.org/10.1007/978-1-4020-5811-0_10
Publisher Name: Springer, Dordrecht
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