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    BIODATA MINING AND VISUALIZATION
    Novel Approaches

    by Ilkka Havukkala

    Table of Contents (70k)
    Preface (79k)
    Chapter 1: Introduction to Modern Molecular Biology (882k)

    About Ilkka Havukkala


    There is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata. This book fills the gap by introducing an interdisciplinary set of the most recent methods and references on novel techniques from artificial intelligence, data mining, engineering, pattern recognition, and ontological data mining fields that are applicable to bioinformatics. The latest novel approaches are explained in detail, their advantages and disadvantages are summarized, and pointers to the future development of new applications are given. By widening the pool from which biologists and bioinformaticians can adopt methods for biodata mining and visualization, computational data mining experts in nonbiological fields are also encouraged to utilize their expertise in order to contribute to the progress of computational biology, thus enhancing the collaboration between these two disciplines.

     
    Contents:
    • Introduction to Modern Molecular Biology
    • Biodata Explosion
    • Local Pattern Discovery and Comparison Genes and Proteins
    • Global Pattern Discovery and Comparison Genomes
    • Molecule Structure Based Searching and Comparison
    • Function Annotation and Ontology Based Searching and Classification
    • New Methods for Genomics Data: SVM and Others
    • Integration of Multimodal Data: Toward Systems Biology
    • Future Challenges
     
    Readership: Advanced undergraduate and graduate students in bioinformatics, data mining, knowledge discovery, pattern recognition, genomics, systems biology, and biostatistics; biology researchers and biodata knowledge engineers.
     
     
    324pp    Pub. date: Jun 2010  
    ISBN:   978-981-279-036-1
    981-279-036-5
       US$88 / £61

     


     

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    Updated on 13 February 2012