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Fuzzy Logic as a Computational Tool for Quantitative Modelling of Biological Systems with Uncertain Kinetic Data.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015

Quantitative modelling of biological systems has become an indispensable computational approach in the design of novel and analysis of existing biological systems. However, kinetic data that describe the system's dynamics need to be known in order to...

Humans Animals Gene Expression Profiling Proteome Signal Transduction Fuzzy Logic Models, Statistical Kinetics Models, Biological Protein Interaction Mapping

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AIMC Topic: Kinetics

Fuzzy Logic as a Computational Tool for Quantitative Modelling of Biological Systems with Uncertain Kinetic Data.

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AIMC Topic: Kinetics

Fuzzy Logic as a Computational Tool for Quantitative Modelling of Biological Systems with Uncertain Kinetic Data.

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