Pattern Discovery In Biomolecular Data PDF Download
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Author | : Jason T. L. Wang |
Publisher | : Oxford University Press |
Total Pages | : 272 |
Release | : 1999-10-28 |
Genre | : Science |
ISBN | : 0198028067 |
Download Pattern Discovery in Biomolecular Data Book in PDF, ePub and Kindle
Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.
Author | : Laxmi Parida |
Publisher | : CRC Press |
Total Pages | : 512 |
Release | : 2007-07-04 |
Genre | : Computers |
ISBN | : 1420010735 |
Download Pattern Discovery in Bioinformatics Book in PDF, ePub and Kindle
The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema
Author | : Jason T. L. Wang |
Publisher | : Oxford University Press |
Total Pages | : 280 |
Release | : 1999-10-28 |
Genre | : Science |
ISBN | : 9780198028062 |
Download Pattern Discovery in Biomolecular Data Book in PDF, ePub and Kindle
Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.
Author | : Stanislav Plamenov Angelov |
Publisher | : |
Total Pages | : 236 |
Release | : 2007 |
Genre | : |
ISBN | : 9781109985016 |
Download Pattern Discovery in Biological Data Sets Book in PDF, ePub and Kindle
There are two main approaches for extracting knowledge from sequence data. One approach compares newly acquired data with possibly, already annotated data under the assumption that data similarity implies functional similarity. The second approach mines the data for frequently occurring or surprising patterns. Such patterns are unlikely to occur at random and pinpoint candidates for further laboratory investigations.
Author | : Jan Jacob Wesselink |
Publisher | : |
Total Pages | : |
Release | : 2003 |
Genre | : Bioinformatics |
ISBN | : |
Download Pattern Discovery in Biomolecular Sequences Book in PDF, ePub and Kindle
Author | : Poncelet, Pascal |
Publisher | : IGI Global |
Total Pages | : 324 |
Release | : 2007-08-31 |
Genre | : Computers |
ISBN | : 1599041642 |
Download Data Mining Patterns: New Methods and Applications Book in PDF, ePub and Kindle
"This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.
Author | : Ujjwal Maulik |
Publisher | : John Wiley & Sons |
Total Pages | : 552 |
Release | : 2011-03-21 |
Genre | : Medical |
ISBN | : 1118097807 |
Download Computational Intelligence and Pattern Analysis in Biology Informatics Book in PDF, ePub and Kindle
An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.
Author | : Yang Rong Zheng |
Publisher | : |
Total Pages | : 462 |
Release | : 2021 |
Genre | : Biological systems |
ISBN | : 9789811240126 |
Download Biological Pattern Discovery with R Book in PDF, ePub and Kindle
Author | : Charu C. Aggarwal |
Publisher | : Springer |
Total Pages | : 480 |
Release | : 2014-08-29 |
Genre | : Computers |
ISBN | : 3319078216 |
Download Frequent Pattern Mining Book in PDF, ePub and Kindle
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
Author | : Parul Gandhi |
Publisher | : CRC Press |
Total Pages | : 135 |
Release | : 2021-12-21 |
Genre | : Computers |
ISBN | : 1000506495 |
Download Data Driven Decision Making using Analytics Book in PDF, ePub and Kindle
This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.