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This book is a survey of the most recent developments on techniques and approaches in the field of biological KDD. It presents the latest, newest, most important topics encountered in this field. While many other books on biological KDD either lack technical depth or zero-in on specific topics, this book provides a vast overview of techniques with both a broad coverage of the field, while still maintaining enough depth for practicing professionals. Through combining sound theory with practical applications in Molecular Biology, this book can serve as both a reference book for courses in Bioinformatics and biological KDD as well as a book designed for practitioners and professional researchers in Computer Science, Life Science and Mathematics.
    Collected by
    • UCLA
    • China Agricultural University
    • University of Toronto Library
    • Princeton University
    • Yale University
    • University of Oxford
    • Stanford University
    • Columbia University Library
    • MIT
    • UCB

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