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• W2104039751 abstract "Computational models are increasingly used to analyze the operation of complex biochemical networks, including those involved in cell signaling networks. Here we review recent advances in applying logic-based modeling to mammalian cell biology. Logic-based models represent biomolecular networks in a simple and intuitive manner without describing the detailed biochemistry of each interaction. A brief description of several logic-based modeling methods is followed by six case studies that demonstrate biological questions recently addressed using logic-based models and point to potential advances in model formalisms and training procedures that promise to enhance the utility of logic-based methods for studying the relationship between environmental inputs and phenotypic or signaling state outputs of complex signaling networks." @default.
• W2104039751 created "2016-06-24" @default.
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• W2104039751 creator A5060106170 @default.
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• W2104039751 date "2010-03-25" @default.
• W2104039751 modified "2023-10-01" @default.
• W2104039751 title "Logic-Based Models for the Analysis of Cell Signaling Networks" @default.
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• W2104039751 doi "https://doi.org/10.1021/bi902202q" @default.
• W2104039751 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2853906" @default.
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