Advanced Data Mining Technologies In Bioinformatics
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Advanced Data Mining Technologies in Bioinformatics
Author | : Hui-Huang Hsu |
Publsiher | : IGI Global |
Total Pages | : 343 |
Release | : 2006-01-01 |
Genre | : Computers |
ISBN | : 9781591408635 |
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"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.
Data Mining in Bioinformatics
Author | : Jason T. L. Wang |
Publsiher | : Springer Science & Business Media |
Total Pages | : 356 |
Release | : 2005 |
Genre | : Computers |
ISBN | : 1852336714 |
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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.
Data Mining for Bioinformatics
Author | : Sumeet Dua,Pradeep Chowriappa |
Publsiher | : CRC Press |
Total Pages | : 351 |
Release | : 2012-11-06 |
Genre | : Computers |
ISBN | : 9781466588660 |
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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
Data Mining
Author | : Sushmita Mitra,Tinku Acharya |
Publsiher | : John Wiley & Sons |
Total Pages | : 423 |
Release | : 2005-01-21 |
Genre | : Computers |
ISBN | : 9780471474883 |
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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
Fundamentals of Data Mining in Genomics and Proteomics
Author | : Werner Dubitzky,Martin Granzow,Daniel P. Berrar |
Publsiher | : Springer Science & Business Media |
Total Pages | : 300 |
Release | : 2007-04-13 |
Genre | : Science |
ISBN | : 9780387475097 |
Download Fundamentals of Data Mining in Genomics and Proteomics Book in PDF, Epub and Kindle
This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.
Biological Data Mining
Author | : Jake Y. Chen,Stefano Lonardi |
Publsiher | : CRC Press |
Total Pages | : 736 |
Release | : 2009-09-01 |
Genre | : Computers |
ISBN | : 9781420086850 |
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
Sequence Data Mining
Author | : Guozhu Dong,Jian Pei |
Publsiher | : Springer Science & Business Media |
Total Pages | : 160 |
Release | : 2007-10-31 |
Genre | : Computers |
ISBN | : 9780387699370 |
Download Sequence Data Mining Book in PDF, Epub and Kindle
Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.
Data Mining for Bioinformatics Applications
Author | : He Zengyou |
Publsiher | : Woodhead Publishing |
Total Pages | : 100 |
Release | : 2015-06-09 |
Genre | : Computers |
ISBN | : 9780081001073 |
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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