Pattern Discovery In Bioinformatics
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Pattern Discovery In Bioinformatics
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Author : Laxmi Parida
language : en
Publisher: CRC Press
Release Date : 2007-07-04
Pattern Discovery In Bioinformatics written by Laxmi Parida and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-04 with Computers categories.
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
Discriminative Pattern Discovery On Biological Networks
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Author : Fabio Fassetti
language : en
Publisher: Springer
Release Date : 2017-09-01
Discriminative Pattern Discovery On Biological Networks written by Fabio Fassetti and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-01 with Computers categories.
This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses. Biological networks are an effective model for providing insights about biological mechanisms. Networks with different characteristics are employed for representing different scenarios. This powerful model allows analysts to perform many kinds of analyses which can be mined to provide interesting information about underlying biological behaviors. The text also covers techniques for discovering exceptional patterns, such as a pattern accounting for local similarities and also collaborative effects involving interactions between multiple actors (for example genes). Among these exceptional patterns, of particular interest are discriminative patterns, namely those which are able to discriminate between two input populations (for example healthy/unhealthy samples). In addition, the work includes a discussion on the most recent proposal on discovering discriminative patterns, in which there is a labeled network for each sample, resulting in a database of networks representing a sample set. This enables the analyst to achieve a much finer analysis than with traditional techniques, which are only able to consider an aggregated network of each population.
Pattern Discovery In Biomolecular Data
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Author : Jason T. L. Wang
language : en
Publisher: Oxford University Press
Release Date : 1999-10-28
Pattern Discovery In Biomolecular Data written by Jason T. L. Wang and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10-28 with Science categories.
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.
Biological Pattern Discovery With R Machine Learning Approaches
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Author : Zheng Rong Yang
language : en
Publisher: World Scientific
Release Date : 2021-09-17
Biological Pattern Discovery With R Machine Learning Approaches written by Zheng Rong Yang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-17 with Science categories.
This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.
Combinatorial Pattern Matching Algorithms In Computational Biology Using Perl And R
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Author : Gabriel Valiente
language : en
Publisher: CRC Press
Release Date : 2009-04-08
Combinatorial Pattern Matching Algorithms In Computational Biology Using Perl And R written by Gabriel Valiente and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-08 with Computers categories.
Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis of genomic, transcriptomic, proteomic, metabolomic
Pattern Recognition
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Author : S. Ramakrishnan
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-12-14
Pattern Recognition written by S. Ramakrishnan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-14 with Computers categories.
Pattern recognition continued to be one of the important research fields in computer science and electrical engineering. Lots of new applications are emerging, and hence pattern analysis and synthesis become significant subfields in pattern recognition. This book is an edited volume and has six chapters arranged into two sections, namely, pattern recognition analysis and pattern recognition applications. This book will be useful for graduate students, researchers, and practicing engineers working in the field of machine vision and computer science and engineering.
Pattern Recognition Machine Intelligence And Biometrics
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Author : Patrick S. P. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-13
Pattern Recognition Machine Intelligence And Biometrics written by Patrick S. P. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-13 with Computers categories.
"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.
Glycome Informatics
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Author : Kiyoko F. Aoki-Kinoshita
language : en
Publisher: CRC Press
Release Date : 2009-11-19
Glycome Informatics written by Kiyoko F. Aoki-Kinoshita and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-19 with Computers categories.
A Focused, State-of-the-Art Overview of This Evolving FieldPresents Various Techniques for GlycoinformaticsThe development and use of informatics tools and databases for glycobiology and glycomics research have increased considerably in recent years. In addition to accumulating well-structured glyco-related data, researchers have now developed semi
Spatiotemporal Patterns In Ecology And Epidemiology
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Author : Horst Malchow
language : en
Publisher: CRC Press
Release Date : 2007-12-26
Spatiotemporal Patterns In Ecology And Epidemiology written by Horst Malchow and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-26 with Mathematics categories.
Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped. Going beyond the classical Turing scenario of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology:
Introduction To Proteins
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Author : Amit Kessel
language : en
Publisher: CRC Press
Release Date : 2010-12-17
Introduction To Proteins written by Amit Kessel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-17 with Medical categories.
As the tools and techniques of structural biophysics assume greater roles in biological research and a range of application areas, learning how proteins behave becomes crucial to understanding their connection to the most basic and important aspects of life. With more than 350 color images throughout, Introduction to Proteins: Structure, Function, and Motion presents a unified, in-depth treatment of the relationship between the structure, dynamics, and function of proteins. Taking a structural–biophysical approach, the authors discuss the molecular interactions and thermodynamic changes that transpire in these highly complex molecules. The text incorporates various biochemical, physical, functional, and medical aspects. It covers different levels of protein structure, current methods for structure determination, energetics of protein structure, protein folding and folded state dynamics, and the functions of intrinsically unstructured proteins. The authors also clarify the structure–function relationship of proteins by presenting the principles of protein action in the form of guidelines. This comprehensive, color book uses numerous proteins as examples to illustrate the topics and principles and to show how proteins can be analyzed in multiple ways. It refers to many everyday applications of proteins and enzymes in medical disorders, drugs, toxins, chemical warfare, and animal behavior. Downloadable questions for each chapter are available at CRC Press Online.