Description

This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there are many exercises solved and not useful for the understanding of the theory. The exercises are specially adapted for training and many useful Matlab programs are included, easily understood and generalizable to more complex situations. This self-contained text is particularly suitable for an undergraduate course of biology and biotechnology.New results are also provided for researchers such as the description and applications of the Kohonen neural networks to gene classification and protein classification with back propagation neutral networks.

Introduction To Computational Neurobiology And Clustering

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Hardback by Brunello Tirozzi , Daniela Bianchi

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This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins... Read more

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 13/06/2007
    ISBN13: 9789812705396, 978-9812705396
    ISBN10: 9812705392

    Number of Pages: 248

    Non Fiction , Education

    Description

    This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there are many exercises solved and not useful for the understanding of the theory. The exercises are specially adapted for training and many useful Matlab programs are included, easily understood and generalizable to more complex situations. This self-contained text is particularly suitable for an undergraduate course of biology and biotechnology.New results are also provided for researchers such as the description and applications of the Kohonen neural networks to gene classification and protein classification with back propagation neutral networks.

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