Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers from both biology and computer science backgrounds gain an enhanced understanding of this cross-disciplinary field.
The book offers authoritative coverage of data mining techniques, technologies, and frameworks used for storing, analyzing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining techniques. Introducing the various data mining techniques that can be employed in biological databases, the text is organized into four sections:
Supplies a complete overview of the evolution of the field and its intersection with computational learning
Describes the role of data mining in analyzing large biological databasesâexplaining the breath of the various feature selection and feature extraction techniques that data mining has to offer
Focuses on concepts of unsupervised learning using clustering techniques and its application to large biological data
Covers supervised learning using classification techniques most commonly used in bioinformaticsâaddressing the need for validation and benchmarking of inferences derived using either clustering or classification
The book describes the various biological databases prominently referred to in bioinformatics and includes a detailed list of the applications of advanced clustering algorithms used in bioinformatics. Highlighting the challenges encountered during the application of classification on biological databases, it considers systems of both single and ensemble classifiers and shares effort-saving tips for model selection and performance estimation strategies.
The All-New Switch Book: The Complete Guide to LAN Switching Technology The much-anticipated update to the bestselling book on LAN switching
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Professional IronPython (Wrox Professional Guides)
Create applications that are more responsive to user needs
IronPython should be an important part of your developer's toolbox and this book will quickly get you up and running with this powerful language. John Paul Mueller clearly shows how IronPython can help you create better desktop or web-based applications in less...
Drug-related problems in the elderly
The number of elderly is increasing in the developed part of the world. With increasing age the prevalence of many diseases will increase. This promotes high use of drugs. For all health care professionals, it is essential to be aware of the possible risks and difficulties with drugs in the elderly. In this book, the authors describe these...
The Return of Depression Economics and the Crisis of 2008
In 1999, in The Return of Depression Economics, Paul Krugman surveyed the economic crises that had swept across Asia and Latin America, and pointed out that those crises were a warning for all of us: like diseases that have become resistant to antibiotics, the economic maladies that caused the Great Depression were making a comeback. In...
Algorithms and Computation: 21st International Symposium, ISAAC 2010
This volume contains the proceedings of the 21st Annual International Symposium on Algorithms and Computations (ISAAC 2010), held in Jeju, Korea during December 15–17, 2010. Past editions have been held in Tokyo, Taipei, Nagoya, Hong Kong, Beijing, Cairns, Osaka, Singapore, Taejon, Chennai, Taipei, Christchurch, Vancouver, Kyoto, Hong...