Data Mining In Bioinformatics PDF Download
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Author | : Jason T. L. Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 340 |
Release | : 2006-03-30 |
Genre | : Computers |
ISBN | : 1846280591 |
Download Data Mining in Bioinformatics Book in PDF, ePub and Kindle
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
Author | : Sumeet Dua |
Publisher | : CRC Press |
Total Pages | : 351 |
Release | : 2012-11-06 |
Genre | : Computers |
ISBN | : 0849328012 |
Download Data Mining for Bioinformatics Book in PDF, ePub and Kindle
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 databases—explaining 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 bioinformatics—addressing 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.
Author | : He Zengyou |
Publisher | : Woodhead Publishing |
Total Pages | : 100 |
Release | : 2015-06-09 |
Genre | : Computers |
ISBN | : 008100107X |
Download Data Mining for Bioinformatics Applications Book in PDF, ePub and Kindle
Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems Contains 45 bioinformatics problems that have been investigated in recent research
Author | : Hui-Huang Hsu |
Publisher | : IGI Global |
Total Pages | : 343 |
Release | : 2006-01-01 |
Genre | : Computers |
ISBN | : 1591408636 |
Download Advanced Data Mining Technologies in Bioinformatics Book in PDF, ePub and Kindle
"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided by publisher.
Author | : Jason T. L. Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 356 |
Release | : 2005 |
Genre | : Computers |
ISBN | : 9781852336714 |
Download Data Mining in Bioinformatics Book in PDF, ePub and Kindle
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
Author | : Sumeet Dua |
Publisher | : CRC Press |
Total Pages | : 351 |
Release | : 2012-11-06 |
Genre | : Computers |
ISBN | : 1466588667 |
Download Data Mining for Bioinformatics Book in PDF, ePub and Kindle
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 he
Author | : Jake Y. Chen |
Publisher | : CRC Press |
Total Pages | : 736 |
Release | : 2009-09-01 |
Genre | : Computers |
ISBN | : 1420086855 |
Download Biological Data Mining Book in PDF, ePub and Kindle
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin
Author | : Elena Marchiori |
Publisher | : Springer Science & Business Media |
Total Pages | : 311 |
Release | : 2007-04-02 |
Genre | : Computers |
ISBN | : 354071782X |
Download Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
Author | : Sushmita Mitra |
Publisher | : John Wiley & Sons |
Total Pages | : 423 |
Release | : 2005-01-21 |
Genre | : Computers |
ISBN | : 0471474886 |
Download Data Mining Book in PDF, ePub and Kindle
First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining
Author | : S. Balamurugan |
Publisher | : John Wiley & Sons |
Total Pages | : 354 |
Release | : 2021-10-19 |
Genre | : Computers |
ISBN | : 1119654718 |
Download Computation in BioInformatics Book in PDF, ePub and Kindle
COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development. Audience Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences.