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Titlebook: Computational Neurogenetic Modeling; Lubica Benuskova,Nikola Kasabov Book 2007 Springer-Verlag US 2007 Benuskova.Biomedical.Computational.

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CNGM as Integration of GPRN, ANN and Evolving Processes,Through optimization of the gene interaction network, initial gene/protein expression values and neuronal parameters, particular target states of the neural network operation can be achieved, and meaningful relationships between genes, proteins and neural functions can be extracted.
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Neuro-Information Processing in the Brain,ties of processing units — neurons and signal processing networks within neurons. These internal networks involved in signal processing are comprised of second and third messengers, enzymes, transcription factors and genes.
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,Gene/Protein Interactions — Modeling Gene Regulatory Networks (GRN),cell and the phenotype of an organism. Here, the main principles of these interactions are presented. Some of these interactions are subject to modeling in a CNGM when related to the output signals/functions of a cell/neuron.
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Book 2007ynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge from various scientific disciplines, such as computer and information science, neuroscience and cognitive science, genetics and molecular biology, as well as engineering..
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