Computational Neurogenetic Modeling


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Computational Neurogenetic Modeling


Computational Neurogenetic Modeling

Author: Lubica Benuskova

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-05-05


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Computational Neurogenetic Modeling is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic 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.

Computational Neurogenetic Modeling


Computational Neurogenetic Modeling

Author: Lubica Benuskova

language: en

Publisher: Springer

Release Date: 2008-10-17


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This is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic 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.

Computational Intelligence Methods for Bioinformatics and Biostatistics


Computational Intelligence Methods for Bioinformatics and Biostatistics

Author: Elia Biganzoli

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-11


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This book constitutes the thoroughly refereed post-proceedings of the 8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2011, held in Gargnano del Garda, Italy, in June/July 2011. The 19 papers, presented together with 2 keynote speeches, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on statistical learning, genomics, computational intelligence for health at the edge, proteomics, intelligent clinical decision support systems (i-CDSS), bioinformatics, and data clustering.